dbx/crates/dbx-core/src/transfer.rs

3791 lines
141 KiB
Rust

use regex::Regex;
use serde::{Deserialize, Serialize};
use std::collections::{HashMap, HashSet};
use tokio::sync::RwLock;
use crate::connection::{AppState, PoolKind};
use crate::db;
use crate::db::mongo_driver::MongoDocumentResult;
use crate::models::connection::DatabaseType;
use crate::object_source_sql::{build_executable_object_source_statements, EditableObjectSourceSqlInput};
use crate::query::{agent_execute_query_params, QueryExecutionOptions};
use crate::sql::starts_with_executable_sql_keyword;
static CANCELLED: std::sync::LazyLock<RwLock<HashSet<String>>> =
std::sync::LazyLock::new(|| RwLock::new(HashSet::new()));
const MAX_TRANSFER_WRITE_SQL_BYTES: usize = 512 * 1024;
const MAX_SQLSERVER_INSERT_ROWS: usize = 1000;
const MAX_ORACLE_MERGE_ROWS: usize = 500;
#[derive(Debug, Clone, Serialize, Deserialize, Default, PartialEq)]
#[serde(rename_all = "camelCase")]
pub enum TransferMode {
#[default]
Append,
Overwrite,
Upsert,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
#[serde(rename_all = "camelCase")]
pub struct TransferRequest {
pub transfer_id: String,
pub source_connection_id: String,
pub source_database: String,
pub source_schema: String,
pub target_connection_id: String,
pub target_database: String,
pub target_schema: String,
pub tables: Vec<String>,
pub create_table: bool,
#[serde(default)]
pub mode: TransferMode,
pub batch_size: usize,
}
#[derive(Debug, Clone, Serialize)]
#[serde(rename_all = "camelCase")]
pub struct TransferProgress {
pub transfer_id: String,
pub table: String,
pub table_index: usize,
pub total_tables: usize,
pub rows_transferred: u64,
pub total_rows: Option<u64>,
pub status: TransferStatus,
pub error: Option<String>,
}
#[derive(Debug, Clone, Serialize)]
#[serde(rename_all = "camelCase")]
pub enum TransferStatus {
Running,
TableDone,
Done,
Error,
Cancelled,
}
pub fn quote_identifier(name: &str, db_type: &DatabaseType) -> String {
match db_type {
DatabaseType::Mysql
| DatabaseType::ClickHouse
| DatabaseType::Doris
| DatabaseType::StarRocks
| DatabaseType::Hive => format!("`{}`", name.replace('`', "``")),
DatabaseType::SqlServer => format!("[{}]", name.replace(']', "]]")),
_ => format!("\"{}\"", name.replace('"', "\"\"")),
}
}
pub fn qualified_table(table: &str, schema: &str, db_type: &DatabaseType) -> String {
let qt = quote_identifier(table, db_type);
if schema.is_empty() || matches!(db_type, DatabaseType::Mysql | DatabaseType::MongoDb) {
qt
} else {
format!("{}.{}", quote_identifier(schema, db_type), qt)
}
}
fn quote_string_literal(value: &str) -> String {
format!("'{}'", value.replace('\'', "''"))
}
fn is_simple_identifier(value: &str) -> bool {
let mut chars = value.chars();
let Some(first) = chars.next() else {
return false;
};
if !(first == '_' || first.is_ascii_alphabetic()) {
return false;
}
chars.all(|ch| ch == '_' || ch.is_ascii_alphanumeric())
}
fn is_postgres_compat_transfer(source_db: &DatabaseType, target_db: &DatabaseType) -> bool {
matches!(source_db, DatabaseType::Postgres) && matches!(target_db, DatabaseType::Postgres)
}
fn is_postgres_integer_like_type(data_type: &str) -> bool {
let normalized = data_type.trim().to_ascii_lowercase();
matches!(
normalized.split(['(', ' ']).next().unwrap_or(""),
"smallint" | "integer" | "bigint" | "int2" | "int4" | "int8"
)
}
fn is_postgres_sequence_default(default_value: Option<&str>) -> bool {
default_value.is_some_and(|value| value.to_ascii_lowercase().contains("nextval("))
}
fn rewrite_postgres_schema_qualified_references(input: &str, source_schema: &str, target_schema: &str) -> String {
if source_schema.trim().is_empty() || source_schema == target_schema {
return input.to_string();
}
let quoted_source = format!("{}.", quote_identifier(source_schema, &DatabaseType::Postgres));
let quoted_target = format!("{}.", quote_identifier(target_schema, &DatabaseType::Postgres));
let rewritten = input.replace(&quoted_source, &quoted_target);
let unquoted_pattern =
Regex::new(&format!(r#"(^|[^"\w]){}\."#, regex::escape(source_schema))).expect("valid postgres schema regex");
unquoted_pattern
.replace_all(&rewritten, |captures: &regex::Captures| format!("{}{}", &captures[1], quoted_target))
.into_owned()
}
fn postgres_column_type_sql(
column: &db::ColumnInfo,
source_schema: &str,
target_schema: &str,
source_db: &DatabaseType,
target_db: &DatabaseType,
) -> String {
if is_postgres_compat_transfer(source_db, target_db) {
let trimmed = column.data_type.trim();
if !trimmed.is_empty() {
return rewrite_postgres_schema_qualified_references(trimmed, source_schema, target_schema);
}
}
map_column_type(&column.data_type, source_db, target_db)
}
fn postgres_default_clause(
column: &db::ColumnInfo,
source_schema: &str,
target_schema: &str,
source_db: &DatabaseType,
target_db: &DatabaseType,
) -> Option<String> {
if !is_postgres_compat_transfer(source_db, target_db) {
return None;
}
let default_value = column.column_default.as_deref()?.trim();
if default_value.is_empty() {
return None;
}
if is_postgres_sequence_default(Some(default_value)) && is_postgres_integer_like_type(&column.data_type) {
return Some("GENERATED BY DEFAULT AS IDENTITY".to_string());
}
Some(format!(
"DEFAULT {}",
rewrite_postgres_schema_qualified_references(default_value, source_schema, target_schema)
))
}
fn postgres_order_by_expression(columns: &[String], db_type: &DatabaseType) -> Option<String> {
if columns.is_empty() {
return None;
}
Some(columns.iter().map(|column| quote_identifier(column, db_type)).collect::<Vec<_>>().join(", "))
}
fn postgres_index_column_sql(column: &str) -> String {
if is_simple_identifier(column) {
quote_identifier(column, &DatabaseType::Postgres)
} else {
column.to_string()
}
}
fn generate_postgres_index_ddl(indexes: &[db::IndexInfo], table: &str, schema: &str) -> Vec<String> {
let full_table = qualified_table(table, schema, &DatabaseType::Postgres);
let mut statements = Vec::new();
for index in indexes.iter().filter(|index| !index.is_primary) {
if index.name.trim().is_empty() || index.columns.is_empty() {
continue;
}
let unique = if index.is_unique { "UNIQUE " } else { "" };
let using_clause = index
.index_type
.as_deref()
.map(str::trim)
.filter(|value| !value.is_empty())
.map(|value| format!(" USING {value}"))
.unwrap_or_default();
let columns =
index.columns.iter().map(|column| postgres_index_column_sql(column)).collect::<Vec<_>>().join(", ");
let include_clause = index
.included_columns
.as_ref()
.filter(|columns| !columns.is_empty())
.map(|columns| {
format!(
" INCLUDE ({})",
columns
.iter()
.map(|column| quote_identifier(column, &DatabaseType::Postgres))
.collect::<Vec<_>>()
.join(", ")
)
})
.unwrap_or_default();
let filter_clause = index
.filter
.as_deref()
.map(str::trim)
.filter(|value| !value.is_empty())
.map(|value| format!(" WHERE {value}"))
.unwrap_or_default();
statements.push(format!(
"CREATE {unique}INDEX IF NOT EXISTS {} ON {full_table}{using_clause} ({columns}){include_clause}{filter_clause}",
quote_identifier(&index.name, &DatabaseType::Postgres)
));
if let Some(comment) = index.comment.as_deref().map(str::trim).filter(|value| !value.is_empty()) {
let qualified_index = if schema.is_empty() {
quote_identifier(&index.name, &DatabaseType::Postgres)
} else {
format!(
"{}.{}",
quote_identifier(schema, &DatabaseType::Postgres),
quote_identifier(&index.name, &DatabaseType::Postgres)
)
};
statements.push(format!("COMMENT ON INDEX {qualified_index} IS {}", quote_string_literal(comment)));
}
}
statements
}
fn generate_postgres_foreign_key_ddl(foreign_keys: &[db::ForeignKeyInfo], table: &str, schema: &str) -> Vec<String> {
let full_table = qualified_table(table, schema, &DatabaseType::Postgres);
let mut grouped: HashMap<&str, Vec<&db::ForeignKeyInfo>> = HashMap::new();
let mut order = Vec::new();
for foreign_key in foreign_keys {
if !grouped.contains_key(foreign_key.name.as_str()) {
order.push(foreign_key.name.as_str());
}
grouped.entry(foreign_key.name.as_str()).or_default().push(foreign_key);
}
let mut statements = Vec::new();
for name in order {
let Some(group) = grouped.get(name) else {
continue;
};
let columns = group
.iter()
.map(|foreign_key| quote_identifier(&foreign_key.column, &DatabaseType::Postgres))
.collect::<Vec<_>>()
.join(", ");
let ref_columns = group
.iter()
.map(|foreign_key| quote_identifier(&foreign_key.ref_column, &DatabaseType::Postgres))
.collect::<Vec<_>>()
.join(", ");
let referenced_schema = group[0].ref_schema.as_deref().unwrap_or(schema);
let referenced_table = qualified_table(&group[0].ref_table, referenced_schema, &DatabaseType::Postgres);
statements.push(format!(
"ALTER TABLE {full_table} ADD CONSTRAINT {} FOREIGN KEY ({columns}) REFERENCES {referenced_table} ({ref_columns})",
quote_identifier(name, &DatabaseType::Postgres)
));
}
statements
}
fn generate_postgres_sequence_sync_sql(columns: &[db::ColumnInfo], table: &str, schema: &str) -> Vec<String> {
let full_table = qualified_table(table, schema, &DatabaseType::Postgres);
columns
.iter()
.filter(|column| is_postgres_sequence_default(column.column_default.as_deref()))
.map(|column| {
let quoted_column = quote_identifier(&column.name, &DatabaseType::Postgres);
format!(
"SELECT setval(pg_get_serial_sequence({}, {}), GREATEST(COALESCE(MAX({quoted_column}), 0), 1), MAX({quoted_column}) IS NOT NULL) FROM {full_table}",
quote_string_literal(&full_table),
quote_string_literal(&column.name)
)
})
.collect()
}
#[derive(Debug, Clone)]
struct PostgresTriggerSource {
table_name: String,
trigger_name: String,
source: String,
}
#[derive(Debug, Clone)]
struct PostgresExtensionSource {
extension_name: String,
}
#[derive(Debug, Clone)]
struct PostgresEnumSource {
type_name: String,
labels: Vec<String>,
}
#[derive(Debug, Clone)]
struct PostgresDomainSource {
domain_name: String,
base_type: String,
default_value: Option<String>,
not_null: bool,
checks: Vec<String>,
}
#[derive(Debug, Clone)]
struct PostgresMaterializedViewSource {
view_name: String,
source: String,
}
fn json_string_cell(row: &[serde_json::Value], index: usize) -> Option<String> {
row.get(index).and_then(|value| value.as_str().map(str::to_string))
}
fn result_rows_to_string_statements(rows: Vec<Vec<serde_json::Value>>) -> Vec<String> {
rows.into_iter().filter_map(|row| json_string_cell(&row, 0)).filter(|stmt| !stmt.trim().is_empty()).collect()
}
fn ensure_sql_statement_terminated(sql: &str) -> String {
let trimmed = sql.trim();
if trimmed.ends_with(';') {
trimmed.to_string()
} else {
format!("{trimmed};")
}
}
fn generate_postgres_extension_ddl(extension: &PostgresExtensionSource, target_schema: &str) -> String {
format!(
"CREATE EXTENSION IF NOT EXISTS {} WITH SCHEMA {}",
quote_identifier(&extension.extension_name, &DatabaseType::Postgres),
quote_identifier(target_schema, &DatabaseType::Postgres)
)
}
fn generate_postgres_enum_ddl(enum_type: &PostgresEnumSource, target_schema: &str) -> String {
let labels = enum_type.labels.iter().map(|label| quote_string_literal(label)).collect::<Vec<_>>().join(", ");
let create_sql = format!(
"CREATE TYPE {}.{} AS ENUM ({labels})",
quote_identifier(target_schema, &DatabaseType::Postgres),
quote_identifier(&enum_type.type_name, &DatabaseType::Postgres)
);
format!(
"DO $$ BEGIN IF NOT EXISTS (SELECT 1 FROM pg_type t JOIN pg_namespace n ON n.oid = t.typnamespace WHERE n.nspname = {} AND t.typname = {}) THEN {create_sql}; END IF; END $$",
quote_string_literal(target_schema),
quote_string_literal(&enum_type.type_name)
)
}
fn generate_postgres_domain_ddl(domain: &PostgresDomainSource, target_schema: &str) -> String {
let mut create_sql = format!(
"CREATE DOMAIN {}.{} AS {}",
quote_identifier(target_schema, &DatabaseType::Postgres),
quote_identifier(&domain.domain_name, &DatabaseType::Postgres),
domain.base_type
);
if let Some(default_value) = domain.default_value.as_deref().map(str::trim).filter(|value| !value.is_empty()) {
create_sql.push_str(&format!(" DEFAULT {default_value}"));
}
if domain.not_null {
create_sql.push_str(" NOT NULL");
}
for check in &domain.checks {
create_sql.push(' ');
create_sql.push_str(check);
}
format!(
"DO $$ BEGIN IF NOT EXISTS (SELECT 1 FROM pg_type t JOIN pg_namespace n ON n.oid = t.typnamespace WHERE n.nspname = {} AND t.typname = {}) THEN {}; END IF; END $$",
quote_string_literal(target_schema),
quote_string_literal(&domain.domain_name),
create_sql
)
}
fn generate_postgres_materialized_view_ddls(view: &PostgresMaterializedViewSource, target_schema: &str) -> Vec<String> {
let qualified_name = qualified_table(&view.view_name, target_schema, &DatabaseType::Postgres);
vec![
format!("DROP MATERIALIZED VIEW IF EXISTS {qualified_name}"),
format!("CREATE MATERIALIZED VIEW {qualified_name} AS\n{}", ensure_sql_statement_terminated(&view.source)),
]
}
fn rewrite_postgres_routine_schema(source: &str, target_schema: &str) -> Option<String> {
let re = Regex::new(
r#"(?is)^(\s*CREATE\s+(?:OR\s+REPLACE\s+)?(?:(?:NON)?EDITIONABLE\s+)?(?:FUNCTION|PROCEDURE)\s+)((?:"(?:""|[^"])+"|[A-Za-z_][\w$]*)(?:\s*\.\s*(?:"(?:""|[^"])+"|[A-Za-z_][\w$]*))?)"#,
)
.ok()?;
let captures = re.captures(source)?;
let full = captures.get(0)?;
let prefix = captures.get(1)?.as_str();
let existing_name = captures.get(2)?.as_str();
let name_re = Regex::new(r#""(?:""|[^"])+"|[A-Za-z_][\w$]*"#).ok()?;
let parts = name_re
.find_iter(existing_name)
.map(|part| part.as_str().trim().trim_matches('"').replace("\"\"", "\""))
.collect::<Vec<_>>();
let name = parts.last()?;
let replacement = format!(
"{}.{}",
quote_identifier(target_schema, &DatabaseType::Postgres),
quote_identifier(name, &DatabaseType::Postgres)
);
Some(format!("{}{}{}{}", &source[..full.start()], prefix, replacement, &source[full.end()..]))
}
fn rewrite_postgres_trigger_table_schema(
source: &str,
source_schema: &str,
table_name: &str,
target_schema: &str,
) -> String {
let qualified_target_table = qualified_table(table_name, target_schema, &DatabaseType::Postgres);
let candidate_patterns = [
format!(
" ON {}.{} ",
quote_identifier(source_schema, &DatabaseType::Postgres),
quote_identifier(table_name, &DatabaseType::Postgres)
),
format!(" ON {source_schema}.{table_name} "),
format!(" ON {} ", quote_identifier(table_name, &DatabaseType::Postgres)),
format!(" ON {table_name} "),
];
for pattern in candidate_patterns {
if source.contains(&pattern) {
return source.replacen(&pattern, &format!(" ON {qualified_target_table} "), 1);
}
}
source.to_string()
}
pub fn escape_value(val: &serde_json::Value, db_type: &DatabaseType) -> String {
escape_value_typed(val, db_type, None)
}
pub fn escape_value_typed(val: &serde_json::Value, db_type: &DatabaseType, column_type: Option<&str>) -> String {
match val {
serde_json::Value::Null => "NULL".to_string(),
serde_json::Value::Bool(b) => match db_type {
DatabaseType::Mysql
| DatabaseType::Sqlite
| DatabaseType::DuckDb
| DatabaseType::Doris
| DatabaseType::StarRocks => {
if *b {
"1".to_string()
} else {
"0".to_string()
}
}
_ => {
if *b {
"TRUE".to_string()
} else {
"FALSE".to_string()
}
}
},
serde_json::Value::Number(n) => n.to_string(),
serde_json::Value::String(s) => {
format!("'{}'", format_literal_string(s, db_type, column_type).replace('\\', "\\\\").replace('\'', "''"))
}
serde_json::Value::Array(arr) => match db_type {
DatabaseType::ClickHouse | DatabaseType::Databend => format_ch_array_sql_literal(arr),
_ => format_pg_array_sql_literal(arr),
},
_ => {
let s = val.to_string();
format!("'{}'", s.replace('\\', "\\\\").replace('\'', "''"))
}
}
}
pub fn format_pg_array_sql_literal(arr: &[serde_json::Value]) -> String {
if arr.is_empty() {
return "'{}'".to_string();
}
let elements: Vec<String> = arr.iter().map(format_pg_array_element).collect();
let inner = format!("{{{}}}", elements.join(","));
format!("'{}'", inner.replace('\\', "\\\\").replace('\'', "''"))
}
fn format_pg_array_element(val: &serde_json::Value) -> String {
match val {
serde_json::Value::Null => "NULL".to_string(),
serde_json::Value::Array(arr) => {
if arr.is_empty() {
return "{}".to_string();
}
let elements: Vec<String> = arr.iter().map(format_pg_array_element).collect();
format!("{{{}}}", elements.join(","))
}
serde_json::Value::String(s) => {
let escaped = s.replace('\\', "\\\\").replace('"', "\\\"");
format!("\"{}\"", escaped)
}
serde_json::Value::Number(n) => n.to_string(),
serde_json::Value::Bool(b) => {
if *b {
"true".to_string()
} else {
"false".to_string()
}
}
serde_json::Value::Object(o) => {
let json = serde_json::to_string(o).unwrap_or_default();
let escaped = json.replace('\\', "\\\\").replace('"', "\\\"");
format!("\"{}\"", escaped)
}
}
}
pub fn format_ch_array_sql_literal(arr: &[serde_json::Value]) -> String {
if arr.is_empty() {
return "[]".to_string();
}
let elements: Vec<String> = arr.iter().map(format_ch_array_element).collect();
format!("[{}]", elements.join(","))
}
fn format_ch_array_element(val: &serde_json::Value) -> String {
match val {
serde_json::Value::Null => "NULL".to_string(),
serde_json::Value::Array(arr) => {
if arr.is_empty() {
return "[]".to_string();
}
let elements: Vec<String> = arr.iter().map(format_ch_array_element).collect();
format!("[{}]", elements.join(","))
}
serde_json::Value::String(s) => {
let escaped = s.replace('\\', "\\\\").replace('\'', "''");
format!("'{}'", escaped)
}
serde_json::Value::Number(n) => n.to_string(),
serde_json::Value::Bool(b) => {
if *b {
"true".to_string()
} else {
"false".to_string()
}
}
serde_json::Value::Object(o) => {
let json = serde_json::to_string(o).unwrap_or_default();
format!("'{}'", json.replace('\\', "\\\\").replace('\'', "''"))
}
}
}
fn format_literal_string(value: &str, db_type: &DatabaseType, column_type: Option<&str>) -> String {
if is_mysql_datetime_literal_database(db_type) && column_type.map(is_temporal_column_type).unwrap_or(true) {
normalize_mysql_temporal_literal(value, column_type).unwrap_or_else(|| value.to_string())
} else {
value.to_string()
}
}
fn is_mysql_datetime_literal_database(db_type: &DatabaseType) -> bool {
matches!(
db_type,
DatabaseType::Mysql
| DatabaseType::Doris
| DatabaseType::StarRocks
| DatabaseType::Goldendb
| DatabaseType::Sundb
)
}
fn normalize_mysql_temporal_literal(value: &str, column_type: Option<&str>) -> Option<String> {
let bytes = value.as_bytes();
if bytes.len() < 20 || !is_mysql_datetime_base(bytes) {
return None;
}
let rest = &value[19..];
let (fraction, offset) = if let Some(after_dot) = rest.strip_prefix('.') {
let digit_count = after_dot.bytes().take_while(|b| b.is_ascii_digit()).count();
if digit_count == 0 {
return None;
}
let fraction_len = 1 + digit_count;
(&rest[..fraction_len.min(7)], &rest[fraction_len..])
} else {
("", rest)
};
if !is_timezone_suffix(offset) {
return None;
}
match temporal_column_kind(column_type) {
Some("date") => Some(value[..10].to_string()),
Some("time") => Some(format!("{}{}", &value[11..19], fraction)),
_ => Some(format!("{} {}{}", &value[..10], &value[11..19], fraction)),
}
}
fn is_temporal_column_type(column_type: &str) -> bool {
temporal_column_kind(Some(column_type)).is_some()
}
fn temporal_column_kind(column_type: Option<&str>) -> Option<&'static str> {
let base = column_type?.trim().to_ascii_lowercase();
let base = base.split(['(', ':', ' ']).next().unwrap_or("");
match base {
"date" => Some("date"),
"time" => Some("time"),
"datetime" | "timestamp" => Some("datetime"),
_ => None,
}
}
fn is_mysql_datetime_base(bytes: &[u8]) -> bool {
matches!(
bytes,
[
y0,
y1,
y2,
y3,
b'-',
m0,
m1,
b'-',
d0,
d1,
sep,
h0,
h1,
b':',
min0,
min1,
b':',
s0,
s1,
..
] if y0.is_ascii_digit()
&& y1.is_ascii_digit()
&& y2.is_ascii_digit()
&& y3.is_ascii_digit()
&& m0.is_ascii_digit()
&& m1.is_ascii_digit()
&& d0.is_ascii_digit()
&& d1.is_ascii_digit()
&& (*sep == b'T' || *sep == b' ')
&& h0.is_ascii_digit()
&& h1.is_ascii_digit()
&& min0.is_ascii_digit()
&& min1.is_ascii_digit()
&& s0.is_ascii_digit()
&& s1.is_ascii_digit()
)
}
fn is_timezone_suffix(value: &str) -> bool {
if value.eq_ignore_ascii_case("z") {
return true;
}
let bytes = value.as_bytes();
matches!(
bytes,
[sign, h0, h1, b':', m0, m1]
if (*sign == b'+' || *sign == b'-')
&& h0.is_ascii_digit()
&& h1.is_ascii_digit()
&& m0.is_ascii_digit()
&& m1.is_ascii_digit()
)
}
pub fn map_column_type(source_type: &str, _source_db: &DatabaseType, target_db: &DatabaseType) -> String {
let t = source_type.to_lowercase();
let base = t.split('(').next().unwrap_or(&t).trim();
if matches!(target_db, DatabaseType::Hive) {
return match base {
"tinyint" => "TINYINT".into(),
"smallint" | "int2" => "SMALLINT".into(),
"int" | "integer" | "int4" | "mediumint" | "serial" | "smallserial" => "INT".into(),
"bigint" | "int8" | "bigserial" => "BIGINT".into(),
"float" | "float4" | "real" => "FLOAT".into(),
"double" | "double precision" | "float8" => "DOUBLE".into(),
"decimal" | "numeric" | "number" => {
if let Some(index) = t.find('(') {
format!("DECIMAL{}", &t[index..])
} else {
"DECIMAL".into()
}
}
"bool" | "boolean" | "bit" => "BOOLEAN".into(),
"date" => "DATE".into(),
"datetime" | "timestamp" | "timestamptz" | "timestamp with time zone" | "timestamp without time zone" => {
"TIMESTAMP".into()
}
"binary" | "varbinary" | "blob" | "tinyblob" | "mediumblob" | "longblob" | "bytea" | "image" => {
"BINARY".into()
}
_ => "STRING".into(),
};
}
match base {
"int" | "integer" | "int4" | "mediumint" => match target_db {
DatabaseType::Postgres => "INTEGER".into(),
DatabaseType::Mysql => "INT".into(),
DatabaseType::SqlServer => "INT".into(),
_ => "INTEGER".into(),
},
"bigint" | "int8" => "BIGINT".into(),
"smallint" | "int2" => "SMALLINT".into(),
"tinyint" => match target_db {
DatabaseType::Postgres => "SMALLINT".into(),
_ => "TINYINT".into(),
},
"serial" | "bigserial" | "smallserial" => match target_db {
DatabaseType::Postgres => source_type.to_uppercase(),
DatabaseType::Mysql => "BIGINT AUTO_INCREMENT".into(),
_ => "INTEGER".into(),
},
"float" | "float4" | "real" => match target_db {
DatabaseType::Postgres => "REAL".into(),
_ => "FLOAT".into(),
},
"double" | "double precision" | "float8" => match target_db {
DatabaseType::Postgres => "DOUBLE PRECISION".into(),
_ => "DOUBLE".into(),
},
"decimal" | "numeric" | "number" => {
if t.contains('(') {
match target_db {
DatabaseType::Mysql | DatabaseType::Postgres | DatabaseType::SqlServer | DatabaseType::Oracle => {
format!("DECIMAL{}", &t[t.find('(').unwrap()..])
}
_ => "NUMERIC".into(),
}
} else {
"NUMERIC".into()
}
}
"varchar" | "nvarchar" | "character varying" | "varchar2" => {
if t.contains('(') {
let len_part = &t[t.find('(').unwrap()..];
match target_db {
DatabaseType::Postgres => format!("VARCHAR{len_part}"),
DatabaseType::Mysql => format!("VARCHAR{len_part}"),
DatabaseType::SqlServer => format!("NVARCHAR{len_part}"),
_ => format!("VARCHAR{len_part}"),
}
} else {
"VARCHAR(255)".into()
}
}
"char" | "nchar" | "character" => {
if t.contains('(') {
let len_part = &t[t.find('(').unwrap()..];
format!("CHAR{len_part}")
} else {
"CHAR(1)".into()
}
}
"longtext" => match target_db {
DatabaseType::Mysql => "LONGTEXT".into(),
_ => "TEXT".into(),
},
"mediumtext" => match target_db {
DatabaseType::Mysql => "MEDIUMTEXT".into(),
_ => "TEXT".into(),
},
"text" | "tinytext" | "clob" | "ntext" => "TEXT".into(),
"bool" | "boolean" => match target_db {
DatabaseType::Mysql => "TINYINT(1)".into(),
DatabaseType::SqlServer => "BIT".into(),
_ => "BOOLEAN".into(),
},
"date" => "DATE".into(),
"time" => "TIME".into(),
"datetime" => match target_db {
DatabaseType::Postgres => "TIMESTAMP".into(),
_ => "DATETIME".into(),
},
"timestamp" | "timestamptz" | "timestamp with time zone" | "timestamp without time zone" => match target_db {
DatabaseType::Mysql => "DATETIME".into(),
DatabaseType::SqlServer => "DATETIME2".into(),
_ => "TIMESTAMP".into(),
},
"longblob" => match target_db {
DatabaseType::Mysql => "LONGBLOB".into(),
DatabaseType::Postgres => "BYTEA".into(),
DatabaseType::SqlServer => "VARBINARY(MAX)".into(),
_ => "BLOB".into(),
},
"mediumblob" => match target_db {
DatabaseType::Mysql => "MEDIUMBLOB".into(),
DatabaseType::Postgres => "BYTEA".into(),
DatabaseType::SqlServer => "VARBINARY(MAX)".into(),
_ => "BLOB".into(),
},
"blob" | "tinyblob" | "binary" | "varbinary" | "image" => match target_db {
DatabaseType::Postgres => "BYTEA".into(),
DatabaseType::Mysql => "BLOB".into(),
DatabaseType::SqlServer => "VARBINARY(MAX)".into(),
_ => "BLOB".into(),
},
"bytea" => match target_db {
DatabaseType::Postgres => "BYTEA".into(),
DatabaseType::Mysql => "BLOB".into(),
_ => "BLOB".into(),
},
"json" | "jsonb" => match target_db {
DatabaseType::Postgres => "JSONB".into(),
DatabaseType::Mysql => "JSON".into(),
_ => "TEXT".into(),
},
"uuid" => match target_db {
DatabaseType::Postgres => "UUID".into(),
_ => "VARCHAR(36)".into(),
},
"bit" => match target_db {
DatabaseType::Postgres => "BOOLEAN".into(),
_ => "BIT".into(),
},
_ => "TEXT".into(),
}
}
fn mysql_type_needs_key_prefix(mapped_type: &str) -> bool {
let base = mapped_type.split('(').next().unwrap_or(mapped_type).trim().to_ascii_lowercase();
matches!(
base.as_str(),
"text" | "tinytext" | "mediumtext" | "longtext" | "blob" | "tinyblob" | "mediumblob" | "longblob"
)
}
fn parse_mysql_row_error(error: &str) -> Option<u64> {
let error = error.trim();
let at_row = error.rsplit("at row ").next()?;
at_row.trim().parse::<u64>().ok()
}
pub fn generate_create_table_ddl(
columns: &[db::ColumnInfo],
table: &str,
source_schema: &str,
schema: &str,
target_db: &DatabaseType,
source_db: &DatabaseType,
table_comment: Option<&str>,
) -> String {
let full_table = qualified_table(table, schema, target_db);
let is_mysql_family = matches!(
target_db,
DatabaseType::Mysql
| DatabaseType::Doris
| DatabaseType::StarRocks
| DatabaseType::Goldendb
| DatabaseType::Sundb
);
let mut col_lines = Vec::with_capacity(columns.len());
for c in columns {
col_lines.push({
let mapped_type = postgres_column_type_sql(c, source_schema, schema, source_db, target_db);
let mut line = format!(" {} {}", quote_identifier(&c.name, target_db), mapped_type);
if let Some(default_clause) = postgres_default_clause(c, source_schema, schema, source_db, target_db) {
line.push(' ');
line.push_str(&default_clause);
}
if !c.is_nullable && !matches!(target_db, DatabaseType::Hive) {
line.push_str(" NOT NULL");
}
if is_mysql_family {
if let Some(ref comment) = c.comment {
let trimmed = comment.trim();
if !trimmed.is_empty() {
line.push_str(&format!(" COMMENT '{}'", trimmed.replace('\'', "''")));
}
}
}
line
});
}
let mut pks = Vec::with_capacity(columns.iter().filter(|c| c.is_primary_key).count());
if !matches!(target_db, DatabaseType::Hive) {
for c in columns {
if c.is_primary_key {
let qname = quote_identifier(&c.name, target_db);
if is_mysql_family {
let mapped = map_column_type(&c.data_type, source_db, target_db);
if mysql_type_needs_key_prefix(&mapped) {
pks.push(format!("{qname}(255)"));
continue;
}
}
pks.push(qname);
}
}
}
let mut ddl = match target_db {
DatabaseType::SqlServer => {
format!("IF NOT EXISTS (SELECT * FROM INFORMATION_SCHEMA.TABLES WHERE TABLE_NAME = '{table}')\n")
}
_ => String::new(),
};
let create_prefix = match target_db {
DatabaseType::SqlServer => "CREATE TABLE",
_ => "CREATE TABLE IF NOT EXISTS",
};
ddl.push_str(&format!("{create_prefix} {full_table} (\n"));
ddl.push_str(&col_lines.join(",\n"));
if !pks.is_empty() {
ddl.push_str(&format!(",\n PRIMARY KEY ({})", pks.join(", ")));
}
ddl.push_str("\n)");
if is_mysql_family {
if let Some(comment) = table_comment {
let trimmed = comment.trim();
if !trimmed.is_empty() {
ddl.push_str(&format!(" COMMENT='{}'", trimmed.replace('\'', "''")));
}
}
}
if matches!(target_db, DatabaseType::ClickHouse) {
ddl.push_str(" ENGINE = MergeTree() ORDER BY tuple()");
}
ddl
}
/// Generate COMMENT ON COLUMN / ALTER TABLE COMMENT COLUMN / COMMENT ON TABLE
/// statements for databases that don't support inline comments in CREATE TABLE.
/// MySQL family uses inline syntax (handled in generate_create_table_ddl).
pub fn generate_comment_ddl(
columns: &[db::ColumnInfo],
table: &str,
schema: &str,
target_db: &DatabaseType,
table_comment: Option<&str>,
) -> Vec<String> {
if !matches!(target_db, DatabaseType::Postgres | DatabaseType::Oracle | DatabaseType::ClickHouse) {
return Vec::new();
}
let full_table = qualified_table(table, schema, target_db);
let mut statements = Vec::new();
// Table-level comment first (PostgreSQL/Oracle only; ClickHouse doesn't support COMMENT ON TABLE)
if matches!(target_db, DatabaseType::Postgres | DatabaseType::Oracle) {
if let Some(comment) = table_comment {
let trimmed = comment.trim();
if !trimmed.is_empty() {
let escaped = trimmed.replace('\'', "''");
statements.push(format!("COMMENT ON TABLE {full_table} IS '{escaped}'"));
}
}
}
for c in columns {
if let Some(ref comment) = c.comment {
let trimmed = comment.trim();
if trimmed.is_empty() {
continue;
}
let escaped = trimmed.replace('\'', "''");
let qcol = quote_identifier(&c.name, target_db);
match target_db {
DatabaseType::Postgres | DatabaseType::Oracle => {
statements.push(format!("COMMENT ON COLUMN {full_table}.{qcol} IS '{escaped}'"));
}
DatabaseType::ClickHouse => {
statements.push(format!("ALTER TABLE {full_table} COMMENT COLUMN {qcol} '{escaped}'"));
}
_ => {}
}
}
}
statements
}
pub fn generate_insert(
columns: &[String],
rows: &[Vec<serde_json::Value>],
table: &str,
schema: &str,
db_type: &DatabaseType,
) -> String {
generate_insert_typed(columns, &vec![None; columns.len()], rows, table, schema, db_type)
}
pub fn generate_insert_typed(
columns: &[String],
column_types: &[Option<String>],
rows: &[Vec<serde_json::Value>],
table: &str,
schema: &str,
db_type: &DatabaseType,
) -> String {
if rows.is_empty() {
return String::new();
}
let full_table = qualified_table(table, schema, db_type);
let col_list = columns.iter().map(|c| quote_identifier(c, db_type)).collect::<Vec<_>>().join(", ");
let value_rows = value_rows_sql(rows, column_types, db_type);
format!("INSERT INTO {full_table} ({col_list}) VALUES\n{}", value_rows.join(",\n"))
}
fn value_rows_sql(
rows: &[Vec<serde_json::Value>],
column_types: &[Option<String>],
db_type: &DatabaseType,
) -> Vec<String> {
let mut out = Vec::with_capacity(rows.len());
for row in rows {
let mut vals = Vec::with_capacity(row.len());
for (index, v) in row.iter().enumerate() {
vals.push(escape_value_typed(v, db_type, column_types.get(index).and_then(|value| value.as_deref())));
}
out.push(format!("({})", vals.join(", ")));
}
out
}
pub fn generate_upsert(
columns: &[String],
rows: &[Vec<serde_json::Value>],
table: &str,
schema: &str,
db_type: &DatabaseType,
pk_columns: &[String],
) -> String {
generate_upsert_typed(columns, &vec![None; columns.len()], rows, table, schema, db_type, pk_columns)
}
pub fn generate_upsert_typed(
columns: &[String],
column_types: &[Option<String>],
rows: &[Vec<serde_json::Value>],
table: &str,
schema: &str,
db_type: &DatabaseType,
pk_columns: &[String],
) -> String {
if rows.is_empty() || pk_columns.is_empty() {
return String::new();
}
let full_table = qualified_table(table, schema, db_type);
let col_list = columns.iter().map(|c| quote_identifier(c, db_type)).collect::<Vec<_>>().join(", ");
let value_rows = value_rows_sql(rows, column_types, db_type);
let mut non_pk_columns = Vec::with_capacity(columns.len().saturating_sub(pk_columns.len()));
for c in columns {
if !pk_columns.contains(c) {
non_pk_columns.push(c);
}
}
match db_type {
DatabaseType::Postgres | DatabaseType::Sqlite | DatabaseType::DuckDb => {
let pk_list = pk_columns.iter().map(|c| quote_identifier(c, db_type)).collect::<Vec<_>>().join(", ");
let mut sql = format!("INSERT INTO {full_table} ({col_list}) VALUES\n{}", value_rows.join(",\n"));
if non_pk_columns.is_empty() {
sql.push_str(&format!("\nON CONFLICT ({pk_list}) DO NOTHING"));
} else {
let update_set = non_pk_columns
.iter()
.map(|c| {
let qc = quote_identifier(c, db_type);
format!("{qc} = EXCLUDED.{qc}")
})
.collect::<Vec<_>>()
.join(", ");
sql.push_str(&format!("\nON CONFLICT ({pk_list}) DO UPDATE SET {update_set}"));
}
sql
}
DatabaseType::Mysql | DatabaseType::Doris | DatabaseType::StarRocks => {
let mut sql = format!("INSERT INTO {full_table} ({col_list}) VALUES\n{}", value_rows.join(",\n"));
if non_pk_columns.is_empty() {
sql.push_str("\nON DUPLICATE KEY UPDATE ");
let first_pk = quote_identifier(&pk_columns[0], db_type);
sql.push_str(&format!("{first_pk} = {first_pk}"));
} else {
let update_set = non_pk_columns
.iter()
.map(|c| {
let qc = quote_identifier(c, db_type);
format!("{qc} = VALUES({qc})")
})
.collect::<Vec<_>>()
.join(", ");
sql.push_str(&format!("\nON DUPLICATE KEY UPDATE {update_set}"));
}
sql
}
DatabaseType::SqlServer => {
let src_col_list = columns.iter().map(|c| quote_identifier(c, db_type)).collect::<Vec<_>>().join(", ");
let on_clause = pk_columns
.iter()
.map(|c| {
let qc = quote_identifier(c, db_type);
format!("target.{qc} = src.{qc}")
})
.collect::<Vec<_>>()
.join(" AND ");
let mut sql = format!(
"MERGE INTO {full_table} AS target USING (VALUES\n{}\n) AS src ({src_col_list}) ON {on_clause}",
value_rows.join(",\n")
);
if !non_pk_columns.is_empty() {
let update_set = non_pk_columns
.iter()
.map(|c| {
let qc = quote_identifier(c, db_type);
format!("target.{qc} = src.{qc}")
})
.collect::<Vec<_>>()
.join(", ");
sql.push_str(&format!("\nWHEN MATCHED THEN UPDATE SET {update_set}"));
}
let insert_cols = columns.iter().map(|c| quote_identifier(c, db_type)).collect::<Vec<_>>().join(", ");
let insert_vals =
columns.iter().map(|c| format!("src.{}", quote_identifier(c, db_type))).collect::<Vec<_>>().join(", ");
sql.push_str(&format!("\nWHEN NOT MATCHED THEN INSERT ({insert_cols}) VALUES ({insert_vals});"));
sql
}
DatabaseType::Oracle => {
let mut using_rows = Vec::with_capacity(rows.len());
for row in rows {
let mut vals = Vec::with_capacity(row.len().min(columns.len()));
for (index, (v, c)) in row.iter().zip(columns.iter()).enumerate() {
vals.push(format!(
"{} AS {}",
escape_value_typed(v, db_type, column_types.get(index).and_then(|value| value.as_deref())),
quote_identifier(c, db_type)
));
}
using_rows.push(format!("SELECT {} FROM dual", vals.join(", ")));
}
let on_clause = pk_columns
.iter()
.map(|c| {
let qc = quote_identifier(c, db_type);
format!("t.{qc} = s.{qc}")
})
.collect::<Vec<_>>()
.join(" AND ");
let mut sql =
format!("MERGE INTO {full_table} t USING ({}) s ON ({on_clause})", using_rows.join(" UNION ALL "));
if !non_pk_columns.is_empty() {
let update_set = non_pk_columns
.iter()
.map(|c| {
let qc = quote_identifier(c, db_type);
format!("t.{qc} = s.{qc}")
})
.collect::<Vec<_>>()
.join(", ");
sql.push_str(&format!("\nWHEN MATCHED THEN UPDATE SET {update_set}"));
}
let insert_cols = columns.iter().map(|c| quote_identifier(c, db_type)).collect::<Vec<_>>().join(", ");
let insert_vals =
columns.iter().map(|c| format!("s.{}", quote_identifier(c, db_type))).collect::<Vec<_>>().join(", ");
sql.push_str(&format!("\nWHEN NOT MATCHED THEN INSERT ({insert_cols}) VALUES ({insert_vals})"));
sql
}
_ => generate_insert_typed(columns, column_types, rows, table, schema, db_type),
}
}
fn max_transfer_write_rows(db_type: &DatabaseType, mode: &TransferMode) -> usize {
match (db_type, mode) {
(DatabaseType::SqlServer, TransferMode::Append | TransferMode::Overwrite) => MAX_SQLSERVER_INSERT_ROWS,
(DatabaseType::Hive, _) => 500,
(DatabaseType::Oracle, TransferMode::Upsert) => MAX_ORACLE_MERGE_ROWS,
_ => usize::MAX,
}
}
#[allow(clippy::too_many_arguments)]
fn generate_transfer_write_sql(
mode: &TransferMode,
columns: &[String],
column_types: &[Option<String>],
rows: &[Vec<serde_json::Value>],
table: &str,
schema: &str,
db_type: &DatabaseType,
pk_columns: &[String],
) -> String {
match mode {
TransferMode::Upsert => generate_upsert_typed(columns, column_types, rows, table, schema, db_type, pk_columns),
_ => generate_insert_typed(columns, column_types, rows, table, schema, db_type),
}
}
#[allow(clippy::too_many_arguments)]
fn generate_transfer_write_sql_batches(
mode: &TransferMode,
columns: &[String],
column_types: &[Option<String>],
rows: &[Vec<serde_json::Value>],
table: &str,
schema: &str,
db_type: &DatabaseType,
pk_columns: &[String],
) -> Vec<String> {
if rows.is_empty() {
return Vec::new();
}
let max_rows = max_transfer_write_rows(db_type, mode);
let mut statements = Vec::new();
let mut start = 0;
while start < rows.len() {
let mut end = start + 1;
let mut accepted = generate_transfer_write_sql(
mode,
columns,
column_types,
&rows[start..end],
table,
schema,
db_type,
pk_columns,
);
while end < rows.len() && end - start < max_rows {
let candidate = generate_transfer_write_sql(
mode,
columns,
column_types,
&rows[start..=end],
table,
schema,
db_type,
pk_columns,
);
if candidate.len() > MAX_TRANSFER_WRITE_SQL_BYTES && !accepted.is_empty() {
break;
}
accepted = candidate;
end += 1;
}
if !accepted.is_empty() {
statements.push(accepted);
}
start = end;
}
statements
}
pub fn pagination_sql(
columns: &[String],
table: &str,
schema: &str,
db_type: &DatabaseType,
offset: u64,
limit: usize,
) -> String {
let full_table = qualified_table(table, schema, db_type);
let col_list = columns.iter().map(|c| quote_identifier(c, db_type)).collect::<Vec<_>>().join(", ");
match db_type {
DatabaseType::SqlServer | DatabaseType::Oracle => {
format!(
"SELECT {col_list} FROM {full_table} ORDER BY (SELECT NULL) OFFSET {offset} ROWS FETCH NEXT {limit} ROWS ONLY"
)
}
_ => {
format!("SELECT {col_list} FROM {full_table} LIMIT {limit} OFFSET {offset}")
}
}
}
pub fn pagination_sql_with_order(
columns: &[String],
table: &str,
schema: &str,
db_type: &DatabaseType,
offset: u64,
limit: usize,
order_by_columns: &[String],
) -> String {
let full_table = qualified_table(table, schema, db_type);
let col_list = columns.iter().map(|c| quote_identifier(c, db_type)).collect::<Vec<_>>().join(", ");
let order_expression = postgres_order_by_expression(order_by_columns, db_type);
match db_type {
DatabaseType::SqlServer | DatabaseType::Oracle => {
let order_by = order_expression.unwrap_or_else(|| "(SELECT NULL)".to_string());
format!(
"SELECT {col_list} FROM {full_table} ORDER BY {order_by} OFFSET {offset} ROWS FETCH NEXT {limit} ROWS ONLY"
)
}
_ => {
let order_by = order_expression.map(|value| format!(" ORDER BY {value}")).unwrap_or_default();
format!("SELECT {col_list} FROM {full_table}{order_by} LIMIT {limit} OFFSET {offset}")
}
}
}
#[allow(clippy::too_many_arguments)]
pub fn pagination_sql_with_filter_order(
columns: &[String],
table: &str,
schema: &str,
db_type: &DatabaseType,
offset: u64,
limit: usize,
where_input: Option<&str>,
order_by: Option<&str>,
default_order_columns: &[String],
) -> String {
let full_table = qualified_table(table, schema, db_type);
let col_list = columns.iter().map(|c| quote_identifier(c, db_type)).collect::<Vec<_>>().join(", ");
let predicate = crate::sql_dialect::normalize_where_input(where_input);
let where_clause = if predicate.is_empty() { String::new() } else { format!(" WHERE ({predicate})") };
let order_expression = order_by
.map(str::trim)
.filter(|value| !value.is_empty())
.map(str::to_string)
.or_else(|| postgres_order_by_expression(default_order_columns, db_type));
match db_type {
DatabaseType::SqlServer | DatabaseType::Oracle => {
let order_by = order_expression.unwrap_or_else(|| "(SELECT NULL)".to_string());
format!(
"SELECT {col_list} FROM {full_table}{where_clause} ORDER BY {order_by} OFFSET {offset} ROWS FETCH NEXT {limit} ROWS ONLY"
)
}
_ => {
let order_by = order_expression.map(|value| format!(" ORDER BY {value}")).unwrap_or_default();
format!("SELECT {col_list} FROM {full_table}{where_clause}{order_by} LIMIT {limit} OFFSET {offset}")
}
}
}
pub fn count_sql(table: &str, schema: &str, db_type: &DatabaseType) -> String {
count_sql_with_where(table, schema, db_type, None)
}
pub fn count_sql_with_where(table: &str, schema: &str, db_type: &DatabaseType, where_input: Option<&str>) -> String {
let full_table = qualified_table(table, schema, db_type);
let predicate = crate::sql_dialect::normalize_where_input(where_input);
let where_clause = if predicate.is_empty() { String::new() } else { format!(" WHERE ({predicate})") };
format!("SELECT COUNT(*) FROM {full_table}{where_clause}")
}
pub fn keyset_pagination_sql(
columns: &[String],
table: &str,
schema: &str,
db_type: &DatabaseType,
primary_keys: &[String],
last_pk_values: &[serde_json::Value],
limit: usize,
) -> String {
let full_table = qualified_table(table, schema, db_type);
let col_list = columns.iter().map(|c| quote_identifier(c, db_type)).collect::<Vec<_>>().join(", ");
let order =
primary_keys.iter().map(|pk| format!("{} ASC", quote_identifier(pk, db_type))).collect::<Vec<_>>().join(", ");
let where_clause = keyset_where_clause(primary_keys, last_pk_values, db_type);
match db_type {
DatabaseType::SqlServer | DatabaseType::Oracle => {
format!(
"SELECT {col_list} FROM {full_table}{where_clause} ORDER BY {order} OFFSET 0 ROWS FETCH NEXT {limit} ROWS ONLY"
)
}
_ => {
format!("SELECT {col_list} FROM {full_table}{where_clause} ORDER BY {order} LIMIT {limit}")
}
}
}
fn keyset_where_clause(
primary_keys: &[String],
last_pk_values: &[serde_json::Value],
db_type: &DatabaseType,
) -> String {
if primary_keys.is_empty() || last_pk_values.is_empty() {
return String::new();
}
let quoted_keys = primary_keys.iter().map(|pk| quote_identifier(pk, db_type)).collect::<Vec<_>>();
let literals = last_pk_values.iter().map(|v| value_to_sql_literal(v, db_type)).collect::<Vec<_>>();
let comparison_count = quoted_keys.len().min(literals.len());
if comparison_count == 0 {
return String::new();
}
let mut clauses = Vec::with_capacity(comparison_count);
for index in 0..comparison_count {
let mut parts = Vec::with_capacity(index + 1);
for prefix_index in 0..index {
parts.push(format!("{} = {}", quoted_keys[prefix_index], literals[prefix_index]));
}
parts.push(format!("{} > {}", quoted_keys[index], literals[index]));
if parts.len() == 1 {
clauses.push(parts.remove(0));
} else {
clauses.push(format!("({})", parts.join(" AND ")));
}
}
if clauses.len() == 1 {
format!(" WHERE {}", clauses[0])
} else {
format!(" WHERE ({})", clauses.join(" OR "))
}
}
fn value_to_sql_literal(value: &serde_json::Value, _db_type: &DatabaseType) -> String {
match value {
serde_json::Value::Null => "NULL".to_string(),
serde_json::Value::Bool(b) => {
if *b {
"TRUE".to_string()
} else {
"FALSE".to_string()
}
}
serde_json::Value::Number(n) => n.to_string(),
serde_json::Value::String(s) => quote_string_literal(s),
_ => quote_string_literal(&value.to_string()),
}
}
fn is_mongodb_transfer_type(db_type: &DatabaseType) -> bool {
matches!(db_type, DatabaseType::MongoDb)
}
fn mongo_transfer_document_fields(documents: &[serde_json::Value]) -> Vec<String> {
let mut fields = Vec::new();
let mut seen = HashSet::new();
for document in documents {
let Some(object) = document.as_object() else {
continue;
};
for key in object.keys() {
if seen.insert(key.clone()) {
fields.push(key.clone());
}
}
}
fields
}
fn mongo_documents_to_rows(documents: &[serde_json::Value], columns: &[String]) -> Vec<Vec<serde_json::Value>> {
documents
.iter()
.map(|document| {
let object = document.as_object();
columns
.iter()
.map(|column| object.and_then(|values| values.get(column)).cloned().unwrap_or(serde_json::Value::Null))
.collect()
})
.collect()
}
fn sql_rows_to_mongo_documents(columns: &[String], rows: &[Vec<serde_json::Value>]) -> Vec<serde_json::Value> {
rows.iter()
.map(|row| {
let mut document = serde_json::Map::new();
for (index, column) in columns.iter().enumerate() {
document.insert(column.clone(), row.get(index).cloned().unwrap_or(serde_json::Value::Null));
}
serde_json::Value::Object(document)
})
.collect()
}
async fn find_mongo_documents_for_transfer(
state: &AppState,
connection_id: &str,
database: &str,
collection: &str,
offset: u64,
batch_size: usize,
) -> Result<MongoDocumentResult, String> {
crate::mongo_ops::mongo_find_documents_core(
state,
connection_id,
database,
collection,
offset,
batch_size as i64,
None,
Some(r#"{"_id":1}"#),
)
.await
}
async fn insert_mongo_documents_for_transfer(
state: &AppState,
connection_id: &str,
database: &str,
collection: &str,
documents: &[serde_json::Value],
) -> Result<u64, String> {
if documents.is_empty() {
return Ok(0);
}
let docs_json = serde_json::to_string(documents).map_err(|e| format!("Failed to encode MongoDB documents: {e}"))?;
match crate::mongo_ops::mongo_insert_documents_core(state, connection_id, database, collection, &docs_json).await {
Ok(count) => Ok(count),
Err(error) if error.to_ascii_lowercase().contains("legacy agent") => {
let mut inserted = 0;
for document in documents {
let doc_json =
serde_json::to_string(document).map_err(|e| format!("Failed to encode MongoDB document: {e}"))?;
crate::mongo_ops::mongo_insert_document_core(state, connection_id, database, collection, &doc_json)
.await?;
inserted += 1;
}
Ok(inserted)
}
Err(error) => Err(error),
}
}
async fn overwrite_mongo_collection_for_transfer(
state: &AppState,
connection_id: &str,
database: &str,
collection: &str,
) -> Result<(), String> {
crate::mongo_ops::mongo_delete_documents_core(state, connection_id, database, collection, "{}", true)
.await
.map(|_| ())
}
fn mongo_value_column_type(value: Option<&serde_json::Value>) -> String {
match value {
Some(serde_json::Value::Bool(_)) => "boolean".to_string(),
Some(serde_json::Value::Number(number)) if number.is_i64() || number.is_u64() => "bigint".to_string(),
Some(serde_json::Value::Number(_)) => "double".to_string(),
Some(serde_json::Value::Array(_) | serde_json::Value::Object(_)) => "json".to_string(),
_ => "text".to_string(),
}
}
fn mongo_columns_from_documents(documents: &[serde_json::Value]) -> Vec<db::ColumnInfo> {
mongo_transfer_document_fields(documents)
.into_iter()
.map(|name| {
let sample =
documents.iter().filter_map(|document| document.as_object()?.get(&name)).find(|value| !value.is_null());
db::ColumnInfo {
name,
data_type: mongo_value_column_type(sample),
is_nullable: true,
column_default: None,
is_primary_key: false,
extra: None,
comment: None,
numeric_precision: None,
numeric_scale: None,
character_maximum_length: None,
}
})
.collect()
}
pub async fn execute_on_pool(state: &AppState, pool_key: &str, sql: &str) -> Result<db::QueryResult, String> {
execute_on_pool_with_max_rows(state, pool_key, sql, None).await
}
pub async fn execute_on_pool_with_max_rows(
state: &AppState,
pool_key: &str,
sql: &str,
max_rows: Option<usize>,
) -> Result<db::QueryResult, String> {
// Read-only check: block transfer operations in readonly mode
crate::query::check_read_only_for_connection(state, pool_key, sql).await?;
let connections = state.connections.read().await;
let pool = connections.get(pool_key).ok_or("Connection not found")?;
match pool {
PoolKind::Mysql(p, mode) => {
let p = p.clone();
let bare = *mode == crate::connection::MysqlMode::Bare;
drop(connections);
db::mysql::execute_query_with_max_rows(&p, sql, bare, max_rows, Default::default()).await
}
PoolKind::Postgres(p) => {
let p = p.clone();
drop(connections);
db::postgres::execute_query_with_max_rows(&p, sql, max_rows).await
}
PoolKind::Sqlite(p) => {
let p = p.clone();
drop(connections);
db::sqlite::execute_query_with_max_rows(&p, sql, max_rows).await
}
PoolKind::ClickHouse(client) => {
let client = client.clone();
let database = database_from_pool_key(pool_key).unwrap_or("default").to_string();
drop(connections);
db::clickhouse_driver::execute_query_with_max_rows(&client, &database, sql, max_rows).await
}
PoolKind::SqlServer(client) => {
let client = client.clone();
drop(connections);
let mut client = client.lock().await;
db::sqlserver::execute_query_with_max_rows(&mut client, sql, max_rows).await
}
PoolKind::Agent(client) => {
let client = client.clone();
let database = database_from_pool_key(pool_key).map(str::to_string);
let sql = sql.to_string();
drop(connections);
let mut client = client.lock().await;
let params = agent_execute_query_params(
&sql,
database.as_deref(),
None,
QueryExecutionOptions { max_rows, fetch_size: max_rows, ..QueryExecutionOptions::default() },
);
client.execute_query(params).await
}
PoolKind::DuckDb(con) => {
let con = con.clone();
let sql = sql.to_string();
drop(connections);
tokio::task::spawn_blocking(move || {
let con = con.lock().map_err(|e| e.to_string())?;
if max_rows.is_some()
&& starts_with_executable_sql_keyword(&sql, &["SELECT", "SHOW", "DESCRIBE", "WITH", "PRAGMA"])
{
return crate::query::duckdb_execute_with_max_rows(&con, &sql, max_rows);
}
let start = std::time::Instant::now();
if starts_with_executable_sql_keyword(&sql, &["SELECT", "SHOW", "DESCRIBE", "WITH", "PRAGMA"]) {
let mut stmt = con.prepare(&sql).map_err(|e| e.to_string())?;
let mut rows = stmt.query([]).map_err(|e| e.to_string())?;
let stmt_ref = rows.as_ref().ok_or("DuckDB statement unavailable")?;
let col_count = stmt_ref.column_count();
let columns: Vec<String> = (0..col_count)
.map(|i| stmt_ref.column_name(i).map(|s| s.to_string()).unwrap_or_else(|_| "?".to_string()))
.collect();
let mut result_rows = Vec::new();
while let Some(row) = rows.next().map_err(|e| e.to_string())? {
let vals: Vec<serde_json::Value> = (0..col_count)
.map(|i| {
row.get::<_, String>(i)
.map(serde_json::Value::String)
.or_else(|_| row.get::<_, i64>(i).map(|v| serde_json::Value::Number(v.into())))
.or_else(|_| {
row.get::<_, f64>(i).map(|v| {
serde_json::Number::from_f64(v)
.map(serde_json::Value::Number)
.unwrap_or(serde_json::Value::Null)
})
})
.or_else(|_| row.get::<_, bool>(i).map(serde_json::Value::Bool))
.unwrap_or(serde_json::Value::Null)
})
.collect();
result_rows.push(vals);
}
Ok(db::QueryResult {
columns,
column_types: Vec::new(),
rows: result_rows,
affected_rows: 0,
execution_time_ms: start.elapsed().as_millis(),
truncated: false,
session_id: None,
has_more: false,
})
} else {
let affected = con.execute(&sql, []).map_err(|e| e.to_string())?;
Ok(db::QueryResult {
columns: vec![],
column_types: Vec::new(),
rows: vec![],
affected_rows: affected as u64,
execution_time_ms: start.elapsed().as_millis(),
truncated: false,
session_id: None,
has_more: false,
})
}
})
.await
.map_err(|e| e.to_string())?
}
PoolKind::ExternalTabular(ext_pool) => {
let con = ext_pool.cache.clone();
let sql = sql.to_string();
drop(connections);
tokio::task::spawn_blocking(move || {
let con = con.lock().map_err(|e| e.to_string())?;
crate::query::duckdb_execute_with_max_rows(&con, &sql, max_rows)
})
.await
.map_err(|e| e.to_string())?
}
_ => Err("Unsupported database type for transfer".to_string()),
}
}
fn database_from_pool_key(pool_key: &str) -> Option<&str> {
pool_key
.split_once(":session:")
.map(|(base, _)| base)
.unwrap_or(pool_key)
.split_once(':')
.map(|(_, database)| database)
.filter(|database| !database.is_empty())
}
pub async fn get_db_type(state: &AppState, connection_id: &str) -> Result<DatabaseType, String> {
let configs = state.configs.read().await;
configs.get(connection_id).map(|c| c.db_type).ok_or_else(|| format!("Connection config not found: {connection_id}"))
}
pub async fn get_columns_for_transfer(
state: &AppState,
pool_key: &str,
_connection_id: &str,
database: &str,
schema: &str,
table: &str,
) -> Result<Vec<db::ColumnInfo>, String> {
let connections = state.connections.read().await;
if let Some(PoolKind::DuckDb(con)) = connections.get(pool_key) {
let con = con.clone();
drop(connections);
let table = table.to_string();
let schema = schema.to_string();
return tokio::task::spawn_blocking(move || {
let con = con.lock().map_err(|e| e.to_string())?;
crate::schema::duckdb_query_columns_in_database(&con, "main", &schema, &table)
})
.await
.map_err(|e| e.to_string())?;
}
if let Some(PoolKind::ExternalTabular(ext_pool)) = connections.get(pool_key) {
let con = ext_pool.cache.clone();
drop(connections);
let table = table.to_string();
let schema = schema.to_string();
return tokio::task::spawn_blocking(move || {
let con = con.lock().map_err(|e| e.to_string())?;
crate::schema::duckdb_query_columns_in_database(&con, "main", &schema, &table)
})
.await
.map_err(|e| e.to_string())?;
}
if let Some(PoolKind::ClickHouse(client)) = connections.get(pool_key) {
let client = client.clone();
let database = database.to_string();
let table = table.to_string();
drop(connections);
return db::clickhouse_driver::get_columns(&client, &database, &table).await;
}
if let Some(PoolKind::SqlServer(client)) = connections.get(pool_key) {
let client = client.clone();
let schema = schema.to_string();
let table = table.to_string();
drop(connections);
let mut client = client.lock().await;
return db::sqlserver::get_columns(&mut client, &schema, &table).await;
}
if let Some(PoolKind::Agent(client)) = connections.get(pool_key) {
let client = client.clone();
let database = database.to_string();
let schema = schema.to_string();
let table = table.to_string();
drop(connections);
let mut client = client.lock().await;
return client.get_columns(&database, &schema, &table).await;
}
let pool = connections.get(pool_key).ok_or("Pool not found")?;
let schema = schema.to_string();
let table = table.to_string();
match pool {
PoolKind::Mysql(p, _) => {
let p = p.clone();
drop(connections);
db::mysql::get_columns(&p, &schema, &table).await
}
PoolKind::Postgres(p) => {
let p = p.clone();
drop(connections);
db::postgres::get_columns(&p, &schema, &table).await
}
PoolKind::Sqlite(p) => {
let p = p.clone();
drop(connections);
db::sqlite::get_columns(&p, &schema, &table).await
}
_ => Err("Unsupported database type".to_string()),
}
}
async fn get_postgres_indexes_for_transfer(
state: &AppState,
pool_key: &str,
schema: &str,
table: &str,
) -> Result<Vec<db::IndexInfo>, String> {
let connections = state.connections.read().await;
let Some(PoolKind::Postgres(pool)) = connections.get(pool_key) else {
return Err("PostgreSQL pool not found".to_string());
};
let pool = pool.clone();
drop(connections);
db::postgres::list_indexes(&pool, schema, table).await
}
async fn get_postgres_foreign_keys_for_transfer(
state: &AppState,
pool_key: &str,
schema: &str,
table: &str,
) -> Result<Vec<db::ForeignKeyInfo>, String> {
let connections = state.connections.read().await;
let Some(PoolKind::Postgres(pool)) = connections.get(pool_key) else {
return Err("PostgreSQL pool not found".to_string());
};
let pool = pool.clone();
drop(connections);
db::postgres::list_foreign_keys(&pool, schema, table).await
}
async fn get_postgres_schema_object_sources_for_transfer(
state: &AppState,
pool_key: &str,
schema: &str,
) -> Result<Vec<db::ObjectSource>, String> {
let views_sql = format!(
"SELECT c.relname, pg_get_viewdef(c.oid, true) \
FROM pg_catalog.pg_class c \
JOIN pg_catalog.pg_namespace n ON n.oid = c.relnamespace \
WHERE n.nspname = {} AND c.relkind = 'v' \
ORDER BY c.relname",
quote_string_literal(schema)
);
let routines_sql = format!(
"SELECT p.proname, CASE p.prokind WHEN 'p' THEN 'PROCEDURE' ELSE 'FUNCTION' END, pg_get_functiondef(p.oid) \
FROM pg_catalog.pg_proc p \
JOIN pg_catalog.pg_namespace n ON n.oid = p.pronamespace \
WHERE n.nspname = {} AND p.prokind IN ('p', 'f') \
ORDER BY CASE p.prokind WHEN 'p' THEN 0 ELSE 1 END, p.proname, p.oid",
quote_string_literal(schema)
);
let mut sources = Vec::new();
for row in execute_on_pool(state, pool_key, &views_sql).await?.rows {
let Some(name) = json_string_cell(&row, 0) else {
continue;
};
let Some(source) = json_string_cell(&row, 1) else {
continue;
};
sources.push(db::ObjectSource {
name,
object_type: db::ObjectSourceKind::View,
schema: Some(schema.to_string()),
source,
});
}
for row in execute_on_pool(state, pool_key, &routines_sql).await?.rows {
let Some(name) = json_string_cell(&row, 0) else {
continue;
};
let kind = match json_string_cell(&row, 1).as_deref() {
Some("PROCEDURE") => db::ObjectSourceKind::Procedure,
_ => db::ObjectSourceKind::Function,
};
let Some(source) = json_string_cell(&row, 2) else {
continue;
};
sources.push(db::ObjectSource { name, object_type: kind, schema: Some(schema.to_string()), source });
}
Ok(sources)
}
async fn get_postgres_materialized_view_sources_for_transfer(
state: &AppState,
pool_key: &str,
schema: &str,
) -> Result<Vec<PostgresMaterializedViewSource>, String> {
let sql = format!(
"SELECT c.relname, pg_get_viewdef(c.oid, true) \
FROM pg_catalog.pg_class c \
JOIN pg_catalog.pg_namespace n ON n.oid = c.relnamespace \
WHERE n.nspname = {} AND c.relkind = 'm' \
ORDER BY c.relname",
quote_string_literal(schema)
);
let rows = execute_on_pool(state, pool_key, &sql).await?.rows;
Ok(rows
.into_iter()
.filter_map(|row| {
Some(PostgresMaterializedViewSource {
view_name: json_string_cell(&row, 0)?,
source: json_string_cell(&row, 1)?,
})
})
.collect())
}
async fn get_postgres_trigger_sources_for_transfer(
state: &AppState,
pool_key: &str,
schema: &str,
tables: &[String],
) -> Result<Vec<PostgresTriggerSource>, String> {
if tables.is_empty() {
return Ok(Vec::new());
}
let table_list = tables.iter().map(|table| quote_string_literal(table)).collect::<Vec<_>>().join(", ");
let sql = format!(
"SELECT c.relname, t.tgname, pg_get_triggerdef(t.oid, true) \
FROM pg_catalog.pg_trigger t \
JOIN pg_catalog.pg_class c ON c.oid = t.tgrelid \
JOIN pg_catalog.pg_namespace n ON n.oid = c.relnamespace \
WHERE n.nspname = {} AND NOT t.tgisinternal AND c.relname IN ({table_list}) \
ORDER BY c.relname, t.tgname",
quote_string_literal(schema)
);
let rows = execute_on_pool(state, pool_key, &sql).await?.rows;
Ok(rows
.into_iter()
.filter_map(|row| {
Some(PostgresTriggerSource {
table_name: json_string_cell(&row, 0)?,
trigger_name: json_string_cell(&row, 1)?,
source: json_string_cell(&row, 2)?,
})
})
.collect())
}
async fn get_postgres_extension_sources_for_transfer(
state: &AppState,
pool_key: &str,
schema: &str,
) -> Result<Vec<PostgresExtensionSource>, String> {
let sql = format!(
"SELECT e.extname \
FROM pg_extension e \
JOIN pg_namespace n ON n.oid = e.extnamespace \
WHERE n.nspname = {} \
ORDER BY e.extname",
quote_string_literal(schema)
);
let rows = execute_on_pool(state, pool_key, &sql).await?.rows;
Ok(rows
.into_iter()
.filter_map(|row| json_string_cell(&row, 0).map(|extension_name| PostgresExtensionSource { extension_name }))
.collect())
}
async fn get_postgres_enum_sources_for_transfer(
state: &AppState,
pool_key: &str,
schema: &str,
) -> Result<Vec<PostgresEnumSource>, String> {
let sql = format!(
"SELECT t.typname, COALESCE(array_to_json(array_agg(e.enumlabel ORDER BY e.enumsortorder))::text, '[]') \
FROM pg_type t \
JOIN pg_namespace n ON n.oid = t.typnamespace \
LEFT JOIN pg_enum e ON e.enumtypid = t.oid \
WHERE n.nspname = {} AND t.typtype = 'e' \
GROUP BY t.typname \
ORDER BY t.typname",
quote_string_literal(schema)
);
let rows = execute_on_pool(state, pool_key, &sql).await?.rows;
Ok(rows
.into_iter()
.filter_map(|row| {
let type_name = json_string_cell(&row, 0)?;
let labels_json = json_string_cell(&row, 1)?;
let labels = serde_json::from_str::<Vec<String>>(&labels_json).ok()?;
Some(PostgresEnumSource { type_name, labels })
})
.collect())
}
async fn get_postgres_domain_sources_for_transfer(
state: &AppState,
pool_key: &str,
schema: &str,
) -> Result<Vec<PostgresDomainSource>, String> {
let sql = format!(
"SELECT t.typname, \
pg_catalog.format_type(t.typbasetype, t.typtypmod), \
NULLIF(t.typdefault, ''), \
t.typnotnull, \
COALESCE(( \
SELECT array_to_json(array_agg(pg_get_constraintdef(c.oid, true) ORDER BY c.conname))::text \
FROM pg_constraint c \
WHERE c.contypid = t.oid AND c.contype = 'c' \
), '[]') \
FROM pg_type t \
JOIN pg_namespace n ON n.oid = t.typnamespace \
WHERE n.nspname = {} AND t.typtype = 'd' \
ORDER BY t.typname",
quote_string_literal(schema)
);
let rows = execute_on_pool(state, pool_key, &sql).await?.rows;
Ok(rows
.into_iter()
.filter_map(|row| {
let domain_name = json_string_cell(&row, 0)?;
let base_type = json_string_cell(&row, 1)?;
let default_value = json_string_cell(&row, 2);
let not_null = row.get(3).and_then(|value| value.as_bool()).unwrap_or(false);
let checks = json_string_cell(&row, 4)
.and_then(|json| serde_json::from_str::<Vec<String>>(&json).ok())
.unwrap_or_default();
Some(PostgresDomainSource { domain_name, base_type, default_value, not_null, checks })
})
.collect())
}
async fn get_postgres_policy_statements_for_transfer(
state: &AppState,
pool_key: &str,
source_schema: &str,
target_schema: &str,
tables: &[String],
) -> Result<Vec<String>, String> {
if tables.is_empty() {
return Ok(Vec::new());
}
let table_list = tables.iter().map(|table| quote_string_literal(table)).collect::<Vec<_>>().join(", ");
let sql = format!(
"WITH selected_tables AS ( \
SELECT c.oid, c.relname, c.relrowsecurity, c.relforcerowsecurity \
FROM pg_catalog.pg_class c \
JOIN pg_catalog.pg_namespace n ON n.oid = c.relnamespace \
WHERE n.nspname = {source_schema} AND c.relkind IN ('r','p') AND c.relname IN ({table_list}) \
), \
policy_rows AS ( \
SELECT t.relname, t.relrowsecurity, t.relforcerowsecurity, p.polname, p.polpermissive, p.polcmd, \
COALESCE((SELECT string_agg(CASE WHEN role_oid = 0 THEN 'PUBLIC' ELSE quote_ident(r.rolname) END, ', ' ORDER BY CASE WHEN role_oid = 0 THEN '' ELSE r.rolname END) \
FROM unnest(p.polroles) AS role_oid LEFT JOIN pg_roles r ON r.oid = role_oid), '') AS role_list, \
pg_get_expr(p.polqual, p.polrelid) AS using_expr, \
pg_get_expr(p.polwithcheck, p.polrelid) AS with_check_expr \
FROM selected_tables t \
JOIN pg_catalog.pg_policy p ON p.polrelid = t.oid \
) \
SELECT stmt FROM ( \
SELECT format('ALTER TABLE %I.%I ENABLE ROW LEVEL SECURITY', {target_schema}, relname) AS stmt, relname, 0 AS sort_order \
FROM selected_tables WHERE relrowsecurity \
UNION ALL \
SELECT format('ALTER TABLE %I.%I FORCE ROW LEVEL SECURITY', {target_schema}, relname) AS stmt, relname, 1 AS sort_order \
FROM selected_tables WHERE relforcerowsecurity \
UNION ALL \
SELECT format('DROP POLICY IF EXISTS %I ON %I.%I', polname, {target_schema}, relname) AS stmt, relname, 2 AS sort_order \
FROM policy_rows \
UNION ALL \
SELECT format( \
'CREATE POLICY %I ON %I.%I AS %s FOR %s%s%s%s', \
polname, {target_schema}, relname, \
CASE WHEN polpermissive THEN 'PERMISSIVE' ELSE 'RESTRICTIVE' END, \
CASE polcmd WHEN 'r' THEN 'SELECT' WHEN 'a' THEN 'INSERT' WHEN 'w' THEN 'UPDATE' WHEN 'd' THEN 'DELETE' ELSE 'ALL' END, \
CASE WHEN role_list <> '' THEN ' TO ' || role_list ELSE '' END, \
CASE WHEN using_expr IS NOT NULL THEN ' USING (' || using_expr || ')' ELSE '' END, \
CASE WHEN with_check_expr IS NOT NULL THEN ' WITH CHECK (' || with_check_expr || ')' ELSE '' END \
) AS stmt, relname, 3 AS sort_order \
FROM policy_rows \
) statements \
ORDER BY relname, sort_order, stmt",
source_schema = quote_string_literal(source_schema),
target_schema = quote_string_literal(target_schema),
);
Ok(result_rows_to_string_statements(execute_on_pool(state, pool_key, &sql).await?.rows))
}
async fn get_postgres_ownership_statements_for_transfer(
state: &AppState,
pool_key: &str,
source_schema: &str,
target_schema: &str,
tables: &[String],
) -> Result<Vec<String>, String> {
let table_list = tables.iter().map(|table| quote_string_literal(table)).collect::<Vec<_>>().join(", ");
let table_filter = if tables.is_empty() { "FALSE".to_string() } else { format!("c.relname IN ({table_list})") };
let sql = format!(
"WITH relation_owners AS ( \
SELECT CASE c.relkind \
WHEN 'm' THEN format('ALTER MATERIALIZED VIEW %I.%I OWNER TO %I', {target_schema}, c.relname, pg_get_userbyid(c.relowner)) \
WHEN 'v' THEN format('ALTER VIEW %I.%I OWNER TO %I', {target_schema}, c.relname, pg_get_userbyid(c.relowner)) \
WHEN 'f' THEN format('ALTER FOREIGN TABLE %I.%I OWNER TO %I', {target_schema}, c.relname, pg_get_userbyid(c.relowner)) \
WHEN 'S' THEN format('ALTER SEQUENCE %I.%I OWNER TO %I', {target_schema}, c.relname, pg_get_userbyid(c.relowner)) \
ELSE format('ALTER TABLE %I.%I OWNER TO %I', {target_schema}, c.relname, pg_get_userbyid(c.relowner)) \
END AS stmt \
FROM pg_catalog.pg_class c \
JOIN pg_catalog.pg_namespace n ON n.oid = c.relnamespace \
WHERE n.nspname = {source_schema} AND (c.relkind IN ('v','m') OR ({table_filter} AND c.relkind IN ('r','p','f','S'))) \
), \
routine_owners AS ( \
SELECT format('ALTER %s %I.%I(%s) OWNER TO %I', \
CASE p.prokind WHEN 'p' THEN 'PROCEDURE' ELSE 'FUNCTION' END, \
{target_schema}, p.proname, pg_get_function_identity_arguments(p.oid), pg_get_userbyid(p.proowner)) AS stmt \
FROM pg_catalog.pg_proc p \
JOIN pg_catalog.pg_namespace n ON n.oid = p.pronamespace \
WHERE n.nspname = {source_schema} AND p.prokind IN ('p','f') \
), \
type_owners AS ( \
SELECT format('ALTER %s %I.%I OWNER TO %I', \
CASE t.typtype WHEN 'd' THEN 'DOMAIN' ELSE 'TYPE' END, \
{target_schema}, t.typname, pg_get_userbyid(t.typowner)) AS stmt \
FROM pg_catalog.pg_type t \
JOIN pg_catalog.pg_namespace n ON n.oid = t.typnamespace \
WHERE n.nspname = {source_schema} AND t.typtype IN ('e','d') \
) \
SELECT stmt FROM ( \
SELECT format('ALTER SCHEMA %I OWNER TO %I', {target_schema}, pg_get_userbyid(n.nspowner)) AS stmt \
FROM pg_catalog.pg_namespace n WHERE n.nspname = {source_schema} \
UNION ALL SELECT stmt FROM relation_owners \
UNION ALL SELECT stmt FROM routine_owners \
UNION ALL SELECT stmt FROM type_owners \
) statements",
source_schema = quote_string_literal(source_schema),
target_schema = quote_string_literal(target_schema),
table_filter = table_filter,
);
Ok(result_rows_to_string_statements(execute_on_pool(state, pool_key, &sql).await?.rows))
}
async fn get_postgres_grant_statements_for_transfer(
state: &AppState,
pool_key: &str,
source_schema: &str,
target_schema: &str,
tables: &[String],
) -> Result<Vec<String>, String> {
let table_list = tables.iter().map(|table| quote_string_literal(table)).collect::<Vec<_>>().join(", ");
let table_filter = if tables.is_empty() { "FALSE".to_string() } else { format!("c.relname IN ({table_list})") };
let sql = format!(
"WITH schema_grants AS ( \
SELECT format( \
'GRANT %s ON SCHEMA %I TO %s%s', \
string_agg(a.privilege_type, ', ' ORDER BY a.privilege_type), \
{target_schema}, \
CASE WHEN a.grantee = 0 THEN 'PUBLIC' ELSE quote_ident(grantee.rolname) END, \
CASE WHEN bool_or(a.is_grantable) THEN ' WITH GRANT OPTION' ELSE '' END \
) AS stmt \
FROM pg_catalog.pg_namespace n \
JOIN LATERAL aclexplode(n.nspacl) a ON true \
LEFT JOIN pg_roles grantee ON grantee.oid = a.grantee \
WHERE n.nspname = {source_schema} \
GROUP BY a.grantee, grantee.rolname \
), \
relation_grants AS ( \
SELECT format( \
'GRANT %s ON %s %I.%I TO %s%s', \
string_agg(a.privilege_type, ', ' ORDER BY a.privilege_type), \
CASE WHEN relkind = 'S' THEN 'SEQUENCE' ELSE 'TABLE' END, \
{target_schema}, relname, \
CASE WHEN a.grantee = 0 THEN 'PUBLIC' ELSE quote_ident(grantee.rolname) END, \
CASE WHEN bool_or(a.is_grantable) THEN ' WITH GRANT OPTION' ELSE '' END \
) AS stmt \
FROM ( \
SELECT c.relname, c.relkind, a.grantee, a.privilege_type, a.is_grantable, grantee.rolname \
FROM pg_catalog.pg_class c \
JOIN pg_catalog.pg_namespace n ON n.oid = c.relnamespace \
JOIN LATERAL aclexplode(c.relacl) a ON true \
LEFT JOIN pg_roles grantee ON grantee.oid = a.grantee \
WHERE n.nspname = {source_schema} AND (c.relkind IN ('v','m') OR ({table_filter} AND c.relkind IN ('r','p','f','S'))) \
) rels \
GROUP BY relname, relkind, grantee, rolname \
), \
routine_grants AS ( \
SELECT format( \
'GRANT %s ON %s %I.%I(%s) TO %s%s', \
string_agg(a.privilege_type, ', ' ORDER BY a.privilege_type), \
CASE WHEN prokind = 'p' THEN 'PROCEDURE' ELSE 'FUNCTION' END, \
{target_schema}, proname, identity_args, \
CASE WHEN a.grantee = 0 THEN 'PUBLIC' ELSE quote_ident(grantee.rolname) END, \
CASE WHEN bool_or(a.is_grantable) THEN ' WITH GRANT OPTION' ELSE '' END \
) AS stmt \
FROM ( \
SELECT p.proname, p.prokind, pg_get_function_identity_arguments(p.oid) AS identity_args, a.grantee, a.privilege_type, a.is_grantable, grantee.rolname \
FROM pg_catalog.pg_proc p \
JOIN pg_catalog.pg_namespace n ON n.oid = p.pronamespace \
JOIN LATERAL aclexplode(p.proacl) a ON true \
LEFT JOIN pg_roles grantee ON grantee.oid = a.grantee \
WHERE n.nspname = {source_schema} AND p.prokind IN ('p','f') \
) routines \
GROUP BY proname, prokind, identity_args, grantee, rolname \
) \
SELECT stmt FROM ( \
SELECT stmt FROM schema_grants \
UNION ALL SELECT stmt FROM relation_grants \
UNION ALL SELECT stmt FROM routine_grants \
) statements \
WHERE stmt IS NOT NULL",
source_schema = quote_string_literal(source_schema),
target_schema = quote_string_literal(target_schema),
table_filter = table_filter,
);
Ok(result_rows_to_string_statements(execute_on_pool(state, pool_key, &sql).await?.rows))
}
pub async fn is_cancelled(transfer_id: &str) -> bool {
CANCELLED.read().await.contains(transfer_id)
}
pub async fn set_cancelled(transfer_id: &str) {
CANCELLED.write().await.insert(transfer_id.to_string());
}
pub async fn clear_cancelled(transfer_id: &str) {
CANCELLED.write().await.remove(transfer_id);
}
#[allow(clippy::too_many_arguments)]
async fn transfer_mongodb_table<F>(
state: &AppState,
request: &TransferRequest,
table: &str,
table_index: usize,
source_db_type: &DatabaseType,
target_db_type: &DatabaseType,
source_pool_key: &str,
target_pool_key: &str,
mut progress_callback: F,
) -> Result<u64, String>
where
F: FnMut(TransferProgress),
{
let total_tables = request.tables.len();
let batch_size = if request.batch_size == 0 { 1000 } else { request.batch_size };
let mut offset: u64 = 0;
let mut total_transferred: u64 = 0;
let mut total_rows = None;
if request.mode == TransferMode::Upsert {
log::warn!("[transfer] MongoDB upsert is not supported yet, falling back to append");
}
if is_mongodb_transfer_type(target_db_type) && request.mode == TransferMode::Overwrite {
overwrite_mongo_collection_for_transfer(state, &request.target_connection_id, &request.target_database, table)
.await
.map_err(|e| format!("Failed to clear MongoDB collection '{table}': {e}"))?;
}
let mut sql_target_column_names: Vec<String> = Vec::new();
let mut sql_target_column_types: Vec<Option<String>> = Vec::new();
let mut sql_target_prepared = false;
loop {
if is_cancelled(&request.transfer_id).await {
return Err("Cancelled".to_string());
}
let documents = if is_mongodb_transfer_type(source_db_type) {
let result = find_mongo_documents_for_transfer(
state,
&request.source_connection_id,
&request.source_database,
table,
offset,
batch_size,
)
.await?;
total_rows = Some(result.total);
result.documents
} else {
let columns = get_columns_for_transfer(
state,
source_pool_key,
&request.source_connection_id,
&request.source_database,
&request.source_schema,
table,
)
.await?;
let col_names = columns.iter().map(|column| column.name.clone()).collect::<Vec<_>>();
let primary_key_columns = columns
.iter()
.filter(|column| column.is_primary_key)
.map(|column| column.name.clone())
.collect::<Vec<_>>();
let sql = pagination_sql_with_order(
&col_names,
table,
&request.source_schema,
source_db_type,
offset,
batch_size,
&primary_key_columns,
);
let result = execute_on_pool(state, source_pool_key, &sql).await?;
sql_rows_to_mongo_documents(&col_names, &result.rows)
};
let row_count = documents.len();
if row_count == 0 {
break;
}
if is_mongodb_transfer_type(target_db_type) {
insert_mongo_documents_for_transfer(
state,
&request.target_connection_id,
&request.target_database,
table,
&documents,
)
.await
.map_err(|e| format!("Insert failed for MongoDB collection '{table}' at offset {offset}: {e}"))?;
} else {
if !sql_target_prepared {
let mut sql_target_columns = mongo_columns_from_documents(&documents);
if sql_target_columns.is_empty() {
sql_target_columns.push(db::ColumnInfo {
name: "document".to_string(),
data_type: "json".to_string(),
is_nullable: true,
column_default: None,
is_primary_key: false,
extra: None,
comment: None,
numeric_precision: None,
numeric_scale: None,
character_maximum_length: None,
});
}
sql_target_column_names = sql_target_columns.iter().map(|column| column.name.clone()).collect();
sql_target_column_types =
sql_target_columns.iter().map(|column| Some(column.data_type.clone())).collect();
if request.create_table {
let ddl = generate_create_table_ddl(
&sql_target_columns,
table,
&request.source_schema,
&request.target_schema,
target_db_type,
source_db_type,
None,
);
let table_exists = match execute_on_pool(state, target_pool_key, &ddl).await {
Ok(_) => true,
Err(e) => {
let err_lower = e.to_lowercase();
if err_lower.contains("already exists") || err_lower.contains("there is already") {
true
} else {
return Err(format!("Failed to create table from MongoDB collection '{table}': {e}"));
}
}
};
if table_exists {
for stmt in generate_comment_ddl(
&sql_target_columns,
table,
&request.target_schema,
target_db_type,
None,
) {
if let Err(e) = execute_on_pool(state, target_pool_key, &stmt).await {
log::warn!(
"[transfer] failed to set MongoDB transfer column comment for {}: {}",
table,
e
);
}
}
}
}
if request.mode == TransferMode::Overwrite {
let full_table = qualified_table(table, &request.target_schema, target_db_type);
let truncate_sql = match target_db_type {
DatabaseType::Sqlite | DatabaseType::DuckDb => format!("DELETE FROM {full_table}"),
_ => format!("TRUNCATE TABLE {full_table}"),
};
execute_on_pool(state, target_pool_key, &truncate_sql)
.await
.map_err(|e| format!("Failed to truncate MongoDB transfer target table: {e}"))?;
}
sql_target_prepared = true;
}
let rows = if sql_target_column_names.len() == 1 && sql_target_column_names[0] == "document" {
documents.iter().map(|document| vec![document.clone()]).collect::<Vec<_>>()
} else {
mongo_documents_to_rows(&documents, &sql_target_column_names)
};
let write_statements = generate_transfer_write_sql_batches(
&TransferMode::Append,
&sql_target_column_names,
&sql_target_column_types,
&rows,
table,
&request.target_schema,
target_db_type,
&[],
);
for (statement_index, batch_sql) in write_statements.iter().enumerate() {
execute_on_pool(state, target_pool_key, batch_sql).await.map_err(|e| {
format!(
"Insert failed for MongoDB collection '{table}' at offset {offset}, chunk {} of {}: {e}",
statement_index + 1,
write_statements.len()
)
})?;
}
}
total_transferred += row_count as u64;
offset += row_count as u64;
progress_callback(TransferProgress {
transfer_id: request.transfer_id.clone(),
table: table.to_string(),
table_index,
total_tables,
rows_transferred: total_transferred,
total_rows,
status: TransferStatus::Running,
error: None,
});
if row_count < batch_size {
break;
}
}
Ok(total_transferred)
}
/// Transfer a single table. Returns rows transferred.
/// `progress_callback` is invoked for progress updates.
#[allow(clippy::too_many_arguments)]
pub async fn transfer_table<F>(
state: &AppState,
request: &TransferRequest,
table: &str,
table_index: usize,
source_db_type: &DatabaseType,
target_db_type: &DatabaseType,
source_pool_key: &str,
target_pool_key: &str,
mut progress_callback: F,
) -> Result<u64, String>
where
F: FnMut(TransferProgress),
{
if is_mongodb_transfer_type(source_db_type) || is_mongodb_transfer_type(target_db_type) {
return transfer_mongodb_table(
state,
request,
table,
table_index,
source_db_type,
target_db_type,
source_pool_key,
target_pool_key,
progress_callback,
)
.await;
}
let total_tables = request.tables.len();
let pg_compat_transfer = is_postgres_compat_transfer(source_db_type, target_db_type);
// Get source columns (deduplicate by name)
let columns = {
let raw = get_columns_for_transfer(
state,
source_pool_key,
&request.source_connection_id,
&request.source_database,
&request.source_schema,
table,
)
.await?;
let mut seen = std::collections::HashSet::new();
raw.into_iter().filter(|c| seen.insert(c.name.clone())).collect::<Vec<_>>()
};
if columns.is_empty() {
return Err(format!("No columns found for table {table}"));
}
let col_names: Vec<String> = columns.iter().map(|c| c.name.clone()).collect();
let col_types: Vec<Option<String>> = columns.iter().map(|c| Some(c.data_type.clone())).collect();
let primary_key_columns: Vec<String> =
columns.iter().filter(|c| c.is_primary_key).map(|c| c.name.clone()).collect();
log::info!("[transfer] {} has {} columns, counting rows...", table, columns.len());
// Fetch source table comment
let table_comment: Option<String> = crate::schema::list_tables_core(
state,
&request.source_connection_id,
&request.source_database,
&request.source_schema,
Some(table),
Some(1),
)
.await
.unwrap_or_default()
.into_iter()
.next()
.and_then(|t| t.comment);
let target_table_preexisting = crate::schema::list_tables_core(
state,
&request.target_connection_id,
&request.target_database,
&request.target_schema,
Some(table),
Some(1),
)
.await
.map(|tables| !tables.is_empty())
.unwrap_or(false);
let source_indexes = if request.create_table && pg_compat_transfer && !target_table_preexisting {
get_postgres_indexes_for_transfer(state, source_pool_key, &request.source_schema, table).await?
} else {
Vec::new()
};
let source_foreign_keys = if request.create_table && pg_compat_transfer && !target_table_preexisting {
get_postgres_foreign_keys_for_transfer(state, source_pool_key, &request.source_schema, table).await?
} else {
Vec::new()
};
// Count source rows
let total_rows = {
let sql = count_sql(table, &request.source_schema, source_db_type);
match execute_on_pool(state, source_pool_key, &sql).await {
Ok(result) => result.rows.first().and_then(|r| r.first()).and_then(|v| match v {
serde_json::Value::Number(n) => n.as_u64(),
serde_json::Value::String(s) => s.parse::<u64>().ok(),
_ => None,
}),
Err(e) => {
log::warn!("[transfer] count failed for {}: {}", table, e);
None
}
}
};
log::info!("[transfer] {} total_rows={:?}", table, total_rows);
// Create table on target if requested
if request.create_table {
if matches!(target_db_type, DatabaseType::Postgres) && !request.target_schema.trim().is_empty() {
let create_schema_sql =
format!("CREATE SCHEMA IF NOT EXISTS {}", quote_identifier(&request.target_schema, target_db_type));
execute_on_pool(state, target_pool_key, &create_schema_sql)
.await
.map_err(|e| format!("Failed to ensure schema exists: {e}"))?;
}
let ddl = generate_create_table_ddl(
&columns,
table,
&request.source_schema,
&request.target_schema,
target_db_type,
source_db_type,
table_comment.as_deref(),
);
log::info!("[transfer] creating target table: {}", ddl.chars().take(200).collect::<String>());
let table_exists = match execute_on_pool(state, target_pool_key, &ddl).await {
Ok(_) => true,
Err(e) => {
let err_lower = e.to_lowercase();
if err_lower.contains("already exists") || err_lower.contains("there is already") {
true
} else {
return Err(format!("Failed to create table: {e}"));
}
}
};
if table_exists {
let comment_stmts =
generate_comment_ddl(&columns, table, &request.target_schema, target_db_type, table_comment.as_deref());
for stmt in &comment_stmts {
if let Err(e) = execute_on_pool(state, target_pool_key, stmt).await {
log::warn!("[transfer] failed to set column comment for {}: {}", table, e);
}
}
}
}
// Truncate target if overwrite mode
if request.mode == TransferMode::Overwrite {
let full_table = qualified_table(table, &request.target_schema, target_db_type);
let truncate_sql = match target_db_type {
DatabaseType::Sqlite | DatabaseType::DuckDb => format!("DELETE FROM {full_table}"),
_ => format!("TRUNCATE TABLE {full_table}"),
};
execute_on_pool(state, target_pool_key, &truncate_sql).await.map_err(|e| format!("Failed to truncate: {e}"))?;
}
// Determine effective mode and PK columns for upsert
let (effective_mode, pk_columns) = if request.mode == TransferMode::Upsert {
if matches!(target_db_type, DatabaseType::ClickHouse | DatabaseType::Hive) {
log::warn!("[transfer] upsert not supported for {:?}, falling back to append", target_db_type);
(TransferMode::Append, vec![])
} else {
let target_columns = get_columns_for_transfer(
state,
target_pool_key,
&request.target_connection_id,
&request.target_database,
&request.target_schema,
table,
)
.await
.unwrap_or_default();
let pks: Vec<String> = target_columns.iter().filter(|c| c.is_primary_key).map(|c| c.name.clone()).collect();
if pks.is_empty() {
log::warn!("[transfer] table {} has no primary key, falling back to append", table);
(TransferMode::Append, vec![])
} else {
(TransferMode::Upsert, pks)
}
}
} else {
(request.mode.clone(), vec![])
};
// Transfer data in batches
let batch_size = if request.batch_size == 0 { 1000 } else { request.batch_size };
let mut offset: u64 = 0;
let mut total_transferred: u64 = 0;
loop {
if is_cancelled(&request.transfer_id).await {
return Err("Cancelled".to_string());
}
let sql = pagination_sql_with_order(
&col_names,
table,
&request.source_schema,
source_db_type,
offset,
batch_size,
&primary_key_columns,
);
let result = execute_on_pool(state, source_pool_key, &sql).await?;
let row_count = result.rows.len();
if row_count == 0 {
break;
}
let write_statements = generate_transfer_write_sql_batches(
&effective_mode,
&col_names,
&col_types,
&result.rows,
table,
&request.target_schema,
target_db_type,
&pk_columns,
);
for (statement_index, batch_sql) in write_statements.iter().enumerate() {
execute_on_pool(state, target_pool_key, batch_sql).await.map_err(|e| {
let absolute_row = parse_mysql_row_error(&e).map(|row| offset + row);
match absolute_row {
Some(row) => format!(
"Insert failed for table '{table}' at row {row} (chunk {} of {}): {e}",
statement_index + 1,
write_statements.len()
),
None => format!(
"Insert failed for table '{table}' at offset {offset}, chunk {} of {}: {e}",
statement_index + 1,
write_statements.len()
),
}
})?;
}
total_transferred += row_count as u64;
log::info!("[transfer] {} batch +{} rows (total {})", table, row_count, total_transferred);
offset += row_count as u64;
progress_callback(TransferProgress {
transfer_id: request.transfer_id.clone(),
table: table.to_string(),
table_index,
total_tables,
rows_transferred: total_transferred,
total_rows,
status: TransferStatus::Running,
error: None,
});
if row_count < batch_size {
break;
}
}
if pg_compat_transfer {
for statement in generate_postgres_sequence_sync_sql(&columns, table, &request.target_schema) {
execute_on_pool(state, target_pool_key, &statement)
.await
.map_err(|e| format!("Failed to sync PostgreSQL sequence for {table}: {e}"))?;
}
}
if request.create_table && pg_compat_transfer && !target_table_preexisting {
for statement in generate_postgres_index_ddl(&source_indexes, table, &request.target_schema) {
execute_on_pool(state, target_pool_key, &statement)
.await
.map_err(|e| format!("Failed to create PostgreSQL index for {table}: {e}"))?;
}
for statement in generate_postgres_foreign_key_ddl(&source_foreign_keys, table, &request.target_schema) {
execute_on_pool(state, target_pool_key, &statement)
.await
.map_err(|e| format!("Failed to create PostgreSQL foreign key for {table}: {e}"))?;
}
}
Ok(total_transferred)
}
pub async fn transfer_postgres_schema_dependencies<F>(
state: &AppState,
request: &TransferRequest,
source_pool_key: &str,
target_pool_key: &str,
mut progress_callback: F,
) -> Result<(), String>
where
F: FnMut(TransferProgress),
{
let source_db_type = get_db_type(state, &request.source_connection_id).await?;
let target_db_type = get_db_type(state, &request.target_connection_id).await?;
if !request.create_table || !is_postgres_compat_transfer(&source_db_type, &target_db_type) {
return Ok(());
}
if !request.target_schema.trim().is_empty() {
let create_schema_sql = format!(
"CREATE SCHEMA IF NOT EXISTS {}",
quote_identifier(&request.target_schema, &DatabaseType::Postgres)
);
execute_on_pool(state, target_pool_key, &create_schema_sql)
.await
.map_err(|e| format!("Failed to ensure PostgreSQL target schema exists: {e}"))?;
}
let extensions =
get_postgres_extension_sources_for_transfer(state, source_pool_key, &request.source_schema).await?;
let enum_types = get_postgres_enum_sources_for_transfer(state, source_pool_key, &request.source_schema).await?;
let domains = get_postgres_domain_sources_for_transfer(state, source_pool_key, &request.source_schema).await?;
let total_steps = extensions.len() + enum_types.len() + domains.len();
let table_index = 0;
let mut completed_steps = 0_u64;
for extension in extensions {
if is_cancelled(&request.transfer_id).await {
return Err("Cancelled".to_string());
}
completed_steps += 1;
progress_callback(TransferProgress {
transfer_id: request.transfer_id.clone(),
table: format!("extension: {}", extension.extension_name),
table_index,
total_tables: request.tables.len(),
rows_transferred: completed_steps,
total_rows: Some(total_steps as u64),
status: TransferStatus::Running,
error: None,
});
execute_on_pool(state, target_pool_key, &generate_postgres_extension_ddl(&extension, &request.target_schema))
.await
.map_err(|e| format!("Failed to create PostgreSQL extension {}: {e}", extension.extension_name))?;
}
for enum_type in enum_types {
if is_cancelled(&request.transfer_id).await {
return Err("Cancelled".to_string());
}
completed_steps += 1;
progress_callback(TransferProgress {
transfer_id: request.transfer_id.clone(),
table: format!("enum: {}", enum_type.type_name),
table_index,
total_tables: request.tables.len(),
rows_transferred: completed_steps,
total_rows: Some(total_steps as u64),
status: TransferStatus::Running,
error: None,
});
execute_on_pool(state, target_pool_key, &generate_postgres_enum_ddl(&enum_type, &request.target_schema))
.await
.map_err(|e| format!("Failed to create PostgreSQL enum {}: {e}", enum_type.type_name))?;
}
for domain in domains {
if is_cancelled(&request.transfer_id).await {
return Err("Cancelled".to_string());
}
completed_steps += 1;
progress_callback(TransferProgress {
transfer_id: request.transfer_id.clone(),
table: format!("domain: {}", domain.domain_name),
table_index,
total_tables: request.tables.len(),
rows_transferred: completed_steps,
total_rows: Some(total_steps as u64),
status: TransferStatus::Running,
error: None,
});
execute_on_pool(state, target_pool_key, &generate_postgres_domain_ddl(&domain, &request.target_schema))
.await
.map_err(|e| format!("Failed to create PostgreSQL domain {}: {e}", domain.domain_name))?;
}
Ok(())
}
pub async fn transfer_postgres_schema_objects<F>(
state: &AppState,
request: &TransferRequest,
source_pool_key: &str,
target_pool_key: &str,
mut progress_callback: F,
) -> Result<(), String>
where
F: FnMut(TransferProgress),
{
let source_db_type = get_db_type(state, &request.source_connection_id).await?;
let target_db_type = get_db_type(state, &request.target_connection_id).await?;
if !request.create_table || !is_postgres_compat_transfer(&source_db_type, &target_db_type) {
return Ok(());
}
let object_sources =
get_postgres_schema_object_sources_for_transfer(state, source_pool_key, &request.source_schema).await?;
let materialized_views =
get_postgres_materialized_view_sources_for_transfer(state, source_pool_key, &request.source_schema).await?;
let trigger_sources =
get_postgres_trigger_sources_for_transfer(state, source_pool_key, &request.source_schema, &request.tables)
.await?;
let policy_statements = get_postgres_policy_statements_for_transfer(
state,
source_pool_key,
&request.source_schema,
&request.target_schema,
&request.tables,
)
.await?;
let ownership_statements = get_postgres_ownership_statements_for_transfer(
state,
source_pool_key,
&request.source_schema,
&request.target_schema,
&request.tables,
)
.await?;
let grant_statements = get_postgres_grant_statements_for_transfer(
state,
source_pool_key,
&request.source_schema,
&request.target_schema,
&request.tables,
)
.await?;
let materialized_view_step_count = materialized_views
.iter()
.map(|view| generate_postgres_materialized_view_ddls(view, &request.target_schema).len())
.sum::<usize>();
let trigger_step_count = trigger_sources.len() * 2;
let total_steps = object_sources.len()
+ materialized_view_step_count
+ trigger_step_count
+ policy_statements.len()
+ ownership_statements.len()
+ grant_statements.len();
let table_index = request.tables.len();
let mut completed_steps = 0_u64;
for object in object_sources {
if is_cancelled(&request.transfer_id).await {
return Err("Cancelled".to_string());
}
completed_steps += 1;
progress_callback(TransferProgress {
transfer_id: request.transfer_id.clone(),
table: format!("schema object: {}", object.name),
table_index,
total_tables: request.tables.len(),
rows_transferred: completed_steps,
total_rows: Some(total_steps as u64),
status: TransferStatus::Running,
error: None,
});
let rewritten_source = match object.object_type {
db::ObjectSourceKind::View => object.source.clone(),
db::ObjectSourceKind::Procedure | db::ObjectSourceKind::Function => {
rewrite_postgres_routine_schema(&object.source, &request.target_schema)
.unwrap_or_else(|| object.source.clone())
}
db::ObjectSourceKind::Sequence | db::ObjectSourceKind::Package | db::ObjectSourceKind::PackageBody => {
object.source.clone()
}
};
let statements = build_executable_object_source_statements(EditableObjectSourceSqlInput {
database_type: DatabaseType::Postgres,
object_type: object.object_type.clone(),
schema: Some(request.target_schema.clone()),
name: object.name.clone(),
source: rewritten_source,
})?;
for statement in statements {
execute_on_pool(state, target_pool_key, &statement)
.await
.map_err(|e| format!("Failed to create PostgreSQL {:?} {}: {e}", object.object_type, object.name))?;
}
}
for view in materialized_views {
for statement in generate_postgres_materialized_view_ddls(&view, &request.target_schema) {
if is_cancelled(&request.transfer_id).await {
return Err("Cancelled".to_string());
}
completed_steps += 1;
progress_callback(TransferProgress {
transfer_id: request.transfer_id.clone(),
table: format!("materialized view: {}", view.view_name),
table_index,
total_tables: request.tables.len(),
rows_transferred: completed_steps,
total_rows: Some(total_steps as u64),
status: TransferStatus::Running,
error: None,
});
execute_on_pool(state, target_pool_key, &statement)
.await
.map_err(|e| format!("Failed to create PostgreSQL materialized view {}: {e}", view.view_name))?;
}
}
for trigger in trigger_sources {
if is_cancelled(&request.transfer_id).await {
return Err("Cancelled".to_string());
}
completed_steps += 1;
progress_callback(TransferProgress {
transfer_id: request.transfer_id.clone(),
table: format!("trigger: {}", trigger.trigger_name),
table_index,
total_tables: request.tables.len(),
rows_transferred: completed_steps,
total_rows: Some(total_steps as u64),
status: TransferStatus::Running,
error: None,
});
let full_table = qualified_table(&trigger.table_name, &request.target_schema, &DatabaseType::Postgres);
let drop_sql = format!(
"DROP TRIGGER IF EXISTS {} ON {full_table}",
quote_identifier(&trigger.trigger_name, &DatabaseType::Postgres)
);
execute_on_pool(state, target_pool_key, &drop_sql)
.await
.map_err(|e| format!("Failed to drop PostgreSQL trigger {}: {e}", trigger.trigger_name))?;
completed_steps += 1;
progress_callback(TransferProgress {
transfer_id: request.transfer_id.clone(),
table: format!("trigger: {}", trigger.trigger_name),
table_index,
total_tables: request.tables.len(),
rows_transferred: completed_steps,
total_rows: Some(total_steps as u64),
status: TransferStatus::Running,
error: None,
});
let create_sql = rewrite_postgres_trigger_table_schema(
&ensure_sql_statement_terminated(&trigger.source),
&request.source_schema,
&trigger.table_name,
&request.target_schema,
);
execute_on_pool(state, target_pool_key, &create_sql)
.await
.map_err(|e| format!("Failed to create PostgreSQL trigger {}: {e}", trigger.trigger_name))?;
}
for statement in policy_statements {
if is_cancelled(&request.transfer_id).await {
return Err("Cancelled".to_string());
}
completed_steps += 1;
progress_callback(TransferProgress {
transfer_id: request.transfer_id.clone(),
table: "row security policies".to_string(),
table_index,
total_tables: request.tables.len(),
rows_transferred: completed_steps,
total_rows: Some(total_steps as u64),
status: TransferStatus::Running,
error: None,
});
execute_on_pool(state, target_pool_key, &statement)
.await
.map_err(|e| format!("Failed to apply PostgreSQL row security statement: {e}"))?;
}
for statement in ownership_statements {
if is_cancelled(&request.transfer_id).await {
return Err("Cancelled".to_string());
}
completed_steps += 1;
progress_callback(TransferProgress {
transfer_id: request.transfer_id.clone(),
table: "ownership".to_string(),
table_index,
total_tables: request.tables.len(),
rows_transferred: completed_steps,
total_rows: Some(total_steps as u64),
status: TransferStatus::Running,
error: None,
});
execute_on_pool(state, target_pool_key, &statement)
.await
.map_err(|e| format!("Failed to apply PostgreSQL ownership statement: {e}"))?;
}
for statement in grant_statements {
if is_cancelled(&request.transfer_id).await {
return Err("Cancelled".to_string());
}
completed_steps += 1;
progress_callback(TransferProgress {
transfer_id: request.transfer_id.clone(),
table: "grants".to_string(),
table_index,
total_tables: request.tables.len(),
rows_transferred: completed_steps,
total_rows: Some(total_steps as u64),
status: TransferStatus::Running,
error: None,
});
execute_on_pool(state, target_pool_key, &statement)
.await
.map_err(|e| format!("Failed to apply PostgreSQL grant statement: {e}"))?;
}
Ok(())
}
#[cfg(test)]
mod tests {
use super::*;
use crate::connection::{AppState, PoolKind};
use crate::storage::Storage;
use serde_json::json;
use std::sync::Arc;
fn duckdb_test_config(id: &str) -> crate::models::connection::ConnectionConfig {
crate::models::connection::ConnectionConfig {
id: id.to_string(),
name: id.to_string(),
db_type: DatabaseType::DuckDb,
driver_profile: None,
driver_label: None,
url_params: None,
host: ":memory:".to_string(),
port: 0,
username: String::new(),
password: String::new(),
database: None,
visible_databases: None,
attached_databases: Vec::new(),
color: None,
transport_layers: Vec::new(),
connect_timeout_secs: 5,
query_timeout_secs: 30,
idle_timeout_secs: 60,
ssl: false,
ca_cert_path: String::new(),
client_cert_path: String::new(),
client_key_path: String::new(),
sysdba: false,
oracle_connection_type: None,
connection_string: None,
redis_connection_mode: None,
redis_sentinel_master: String::new(),
redis_sentinel_nodes: String::new(),
redis_sentinel_username: String::new(),
redis_sentinel_password: String::new(),
redis_sentinel_tls: false,
redis_cluster_nodes: String::new(),
etcd_endpoints: String::new(),
external_config: None,
jdbc_driver_class: None,
jdbc_driver_paths: Vec::new(),
one_time: false,
read_only: false,
}
}
fn test_column(name: &str, data_type: &str) -> db::ColumnInfo {
db::ColumnInfo {
name: name.to_string(),
data_type: data_type.to_string(),
is_nullable: true,
column_default: None,
is_primary_key: false,
extra: None,
comment: None,
numeric_precision: None,
numeric_scale: None,
character_maximum_length: None,
}
}
#[test]
fn mysql_create_table_includes_column_comments() {
let cols = vec![
db::ColumnInfo { comment: Some("用户ID".to_string()), is_primary_key: true, ..test_column("id", "int") },
db::ColumnInfo {
comment: Some("用户姓名".to_string()),
is_nullable: false,
..test_column("name", "varchar(100)")
},
db::ColumnInfo { comment: None, ..test_column("age", "int") },
];
let ddl = generate_create_table_ddl(&cols, "users", "", "", &DatabaseType::Mysql, &DatabaseType::Mysql, None);
assert!(ddl.contains("COMMENT '用户ID'"));
assert!(ddl.contains("COMMENT '用户姓名'"));
assert!(!ddl.contains("`age` INT COMMENT")); // no comment for age
assert!(ddl.contains("`name` VARCHAR(100) NOT NULL COMMENT '用户姓名'"));
assert!(ddl.contains("PRIMARY KEY (`id`)"));
}
#[test]
fn postgres_create_table_preserves_defaults_identity_and_exact_types() {
let cols = vec![
db::ColumnInfo {
data_type: "integer".to_string(),
column_default: Some("nextval('public.users_id_seq'::regclass)".to_string()),
is_primary_key: true,
is_nullable: false,
..test_column("id", "integer")
},
db::ColumnInfo {
data_type: "timestamp with time zone".to_string(),
column_default: Some("now()".to_string()),
is_nullable: false,
..test_column("created_at", "timestamp with time zone")
},
db::ColumnInfo {
data_type: "character varying(120)".to_string(),
column_default: Some("'guest'::character varying".to_string()),
..test_column("name", "character varying(120)")
},
];
let ddl = generate_create_table_ddl(
&cols,
"users",
"public",
"public",
&DatabaseType::Postgres,
&DatabaseType::Postgres,
None,
);
assert!(ddl.contains("\"id\" integer GENERATED BY DEFAULT AS IDENTITY NOT NULL"));
assert!(ddl.contains("\"created_at\" timestamp with time zone DEFAULT now() NOT NULL"));
assert!(ddl.contains("\"name\" character varying(120) DEFAULT 'guest'::character varying"));
assert!(ddl.contains("PRIMARY KEY (\"id\")"));
}
#[test]
fn postgres_create_table_rewrites_schema_qualified_custom_types_and_defaults() {
let cols = vec![db::ColumnInfo {
data_type: "\"public\".\"user_status\"".to_string(),
column_default: Some("'active'::public.user_status".to_string()),
is_nullable: false,
..test_column("status", "\"public\".\"user_status\"")
}];
let ddl = generate_create_table_ddl(
&cols,
"users",
"public",
"archive",
&DatabaseType::Postgres,
&DatabaseType::Postgres,
None,
);
assert!(
ddl.contains("\"status\" \"archive\".\"user_status\" DEFAULT 'active'::\"archive\".user_status NOT NULL")
);
}
#[test]
fn mysql_create_table_includes_table_comment() {
let cols = vec![db::ColumnInfo { is_primary_key: true, ..test_column("id", "int") }];
let ddl = generate_create_table_ddl(
&cols,
"users",
"",
"",
&DatabaseType::Mysql,
&DatabaseType::Mysql,
Some("用户表"),
);
assert!(ddl.contains(") COMMENT='用户表'"));
}
#[test]
fn mysql_text_pk_gets_key_prefix() {
let cols =
vec![db::ColumnInfo { data_type: "text".to_string(), is_primary_key: true, ..test_column("id", "text") }];
let ddl = generate_create_table_ddl(&cols, "logs", "", "", &DatabaseType::Mysql, &DatabaseType::Sqlite, None);
assert!(ddl.contains("PRIMARY KEY (`id`(255))"));
assert!(ddl.contains("`id` TEXT"));
}
#[test]
fn mysql_int_pk_no_prefix() {
let cols = vec![db::ColumnInfo { is_primary_key: true, ..test_column("id", "int") }];
let ddl = generate_create_table_ddl(&cols, "users", "", "", &DatabaseType::Mysql, &DatabaseType::Sqlite, None);
assert!(ddl.contains("PRIMARY KEY (`id`)"));
assert!(!ddl.contains("PRIMARY KEY (`id`(255))"));
}
#[test]
fn postgres_comment_ddl_generates_column_and_table_comments() {
let cols = vec![
db::ColumnInfo { comment: Some("主键".to_string()), ..test_column("id", "int") },
db::ColumnInfo { comment: Some("名称".to_string()), ..test_column("name", "varchar(100)") },
];
let stmts = generate_comment_ddl(&cols, "items", "public", &DatabaseType::Postgres, Some("项目表"));
assert_eq!(stmts.len(), 3);
assert!(stmts[0].contains("COMMENT ON TABLE \"public\".\"items\" IS '项目表'"));
assert!(stmts[1].contains("COMMENT ON COLUMN \"public\".\"items\".\"id\" IS '主键'"));
assert!(stmts[2].contains("COMMENT ON COLUMN \"public\".\"items\".\"name\" IS '名称'"));
}
#[test]
fn clickhouse_comment_ddl_uses_alter_table() {
let cols = vec![db::ColumnInfo { comment: Some("日志消息".to_string()), ..test_column("message", "text") }];
let stmts = generate_comment_ddl(&cols, "logs", "", &DatabaseType::ClickHouse, None);
assert_eq!(stmts.len(), 1);
assert!(stmts[0].contains("ALTER TABLE `logs` COMMENT COLUMN `message` '日志消息'"));
}
#[test]
fn pg_comment_ddl_skips_empty_comments() {
let cols = vec![
db::ColumnInfo { comment: None, ..test_column("id", "int") },
db::ColumnInfo { comment: Some(" ".to_string()), ..test_column("name", "varchar(100)") },
];
let stmts = generate_comment_ddl(&cols, "t", "", &DatabaseType::Postgres, None);
assert!(stmts.is_empty());
}
#[test]
fn non_mysql_family_no_inline_comment() {
let cols = vec![db::ColumnInfo { comment: Some("test".to_string()), ..test_column("col", "text") }];
// PostgreSQL target should NOT have inline COMMENT
let ddl = generate_create_table_ddl(&cols, "t", "", "", &DatabaseType::Postgres, &DatabaseType::Postgres, None);
assert!(!ddl.contains("COMMENT"));
}
#[test]
fn hive_create_table_uses_hive_friendly_columns() {
let cols = vec![
db::ColumnInfo { is_primary_key: true, is_nullable: false, ..test_column("id", "bigint") },
db::ColumnInfo { is_nullable: false, ..test_column("payload", "json") },
];
let ddl = generate_create_table_ddl(
&cols,
"events",
"public",
"warehouse",
&DatabaseType::Hive,
&DatabaseType::Postgres,
None,
);
assert!(ddl.contains("CREATE TABLE IF NOT EXISTS `warehouse`.`events`"));
assert!(ddl.contains("`id` BIGINT"));
assert!(ddl.contains("`payload` STRING"));
assert!(!ddl.contains("PRIMARY KEY"));
assert!(!ddl.contains("NOT NULL"));
}
#[test]
fn hive_transfer_uses_backticks_and_hive_type_mapping() {
assert_eq!(quote_identifier("user`events", &DatabaseType::Hive), "`user``events`");
assert_eq!(map_column_type("jsonb", &DatabaseType::Postgres, &DatabaseType::Hive), "STRING");
assert_eq!(
map_column_type("timestamp with time zone", &DatabaseType::Postgres, &DatabaseType::Hive),
"TIMESTAMP"
);
}
#[test]
fn mongo_transfer_document_fields_preserve_first_seen_order() {
let documents = vec![json!({"b": 1}), json!({"a": 2, "c": 3}), json!({"b": 4, "d": 5})];
assert_eq!(mongo_transfer_document_fields(&documents), vec!["b", "a", "c", "d"]);
}
#[test]
fn mongo_transfer_rows_fill_missing_fields_with_null() {
let rows = mongo_documents_to_rows(
&[json!({"id": 1, "name": "Ada"}), json!({"id": 2})],
&[String::from("id"), String::from("name")],
);
assert_eq!(rows, vec![vec![json!(1), json!("Ada")], vec![json!(2), serde_json::Value::Null]]);
}
#[test]
fn sql_rows_to_mongo_documents_maps_columns_to_fields() {
let documents = sql_rows_to_mongo_documents(
&[String::from("id"), String::from("name"), String::from("active")],
&[vec![json!(1), json!("Ada")], vec![json!(2), json!("Grace"), json!(true)]],
);
assert_eq!(
documents,
vec![json!({"id": 1, "name": "Ada", "active": null}), json!({"id": 2, "name": "Grace", "active": true})]
);
}
#[test]
fn postgres_pagination_uses_stable_primary_key_order() {
let sql = pagination_sql_with_order(
&[String::from("id"), String::from("name")],
"users",
"public",
&DatabaseType::Postgres,
200,
100,
&[String::from("id")],
);
assert_eq!(sql, "SELECT \"id\", \"name\" FROM \"public\".\"users\" ORDER BY \"id\" LIMIT 100 OFFSET 200");
}
#[test]
fn filtered_pagination_preserves_where_and_order() {
let sql = pagination_sql_with_filter_order(
&[String::from("id"), String::from("status")],
"users",
"public",
&DatabaseType::SapHana,
10_000,
2_000,
Some("WHERE status = 'active'"),
Some("\"id\" DESC"),
&[String::from("id")],
);
assert_eq!(
sql,
"SELECT \"id\", \"status\" FROM \"public\".\"users\" WHERE (status = 'active') ORDER BY \"id\" DESC LIMIT 2000 OFFSET 10000"
);
}
#[test]
fn filtered_count_preserves_where() {
let sql = count_sql_with_where("users", "public", &DatabaseType::SapHana, Some("WHERE status = 'active'"));
assert_eq!(sql, "SELECT COUNT(*) FROM \"public\".\"users\" WHERE (status = 'active')");
}
#[test]
fn sqlserver_keyset_pagination_includes_offset_fetch() {
let sql = keyset_pagination_sql(
&[String::from("id"), String::from("name")],
"users",
"dbo",
&DatabaseType::SqlServer,
&[String::from("id")],
&[],
100,
);
assert_eq!(
sql,
"SELECT [id], [name] FROM [dbo].[users] ORDER BY [id] ASC OFFSET 0 ROWS FETCH NEXT 100 ROWS ONLY"
);
}
#[test]
fn composite_keyset_pagination_uses_portable_lexicographic_predicate() {
let sql = keyset_pagination_sql(
&[String::from("tenant_id"), String::from("id"), String::from("name")],
"users",
"dbo",
&DatabaseType::SqlServer,
&[String::from("tenant_id"), String::from("id")],
&[json!(10), json!(25)],
100,
);
assert_eq!(
sql,
"SELECT [tenant_id], [id], [name] FROM [dbo].[users] WHERE ([tenant_id] > 10 OR ([tenant_id] = 10 AND [id] > 25)) ORDER BY [tenant_id] ASC, [id] ASC OFFSET 0 ROWS FETCH NEXT 100 ROWS ONLY"
);
}
#[test]
fn postgres_generates_index_and_foreign_key_sql() {
let indexes = vec![db::IndexInfo {
name: "users_name_idx".to_string(),
columns: vec!["lower(name)".to_string()],
is_unique: false,
is_primary: false,
filter: Some("name IS NOT NULL".to_string()),
index_type: Some("btree".to_string()),
included_columns: Some(vec!["created_at".to_string()]),
comment: Some("lookup index".to_string()),
}];
let foreign_keys = vec![
db::ForeignKeyInfo {
name: "orders_user_id_fkey".to_string(),
column: "user_id".to_string(),
ref_schema: None,
ref_table: "users".to_string(),
ref_column: "id".to_string(),
},
db::ForeignKeyInfo {
name: "orders_user_id_fkey".to_string(),
column: "tenant_id".to_string(),
ref_schema: None,
ref_table: "users".to_string(),
ref_column: "tenant_id".to_string(),
},
];
let index_sql = generate_postgres_index_ddl(&indexes, "users", "public");
let foreign_key_sql = generate_postgres_foreign_key_ddl(&foreign_keys, "orders", "public");
assert_eq!(
index_sql,
vec![
"CREATE INDEX IF NOT EXISTS \"users_name_idx\" ON \"public\".\"users\" USING btree (lower(name)) INCLUDE (\"created_at\") WHERE name IS NOT NULL".to_string(),
"COMMENT ON INDEX \"public\".\"users_name_idx\" IS 'lookup index'".to_string(),
]
);
assert_eq!(
foreign_key_sql,
vec![
"ALTER TABLE \"public\".\"orders\" ADD CONSTRAINT \"orders_user_id_fkey\" FOREIGN KEY (\"user_id\", \"tenant_id\") REFERENCES \"public\".\"users\" (\"id\", \"tenant_id\")".to_string()
]
);
}
#[test]
fn postgres_sequence_sync_sql_uses_table_max_values() {
let sql = generate_postgres_sequence_sync_sql(
&[db::ColumnInfo {
name: "id".to_string(),
data_type: "integer".to_string(),
is_nullable: false,
column_default: Some("nextval('public.users_id_seq'::regclass)".to_string()),
is_primary_key: true,
extra: None,
comment: None,
numeric_precision: None,
numeric_scale: None,
character_maximum_length: None,
}],
"users",
"public",
);
assert_eq!(
sql,
vec![
"SELECT setval(pg_get_serial_sequence('\"public\".\"users\"', 'id'), GREATEST(COALESCE(MAX(\"id\"), 0), 1), MAX(\"id\") IS NOT NULL) FROM \"public\".\"users\"".to_string()
]
);
}
#[test]
fn postgres_routine_schema_rewrite_targets_destination_schema() {
let rewritten = rewrite_postgres_routine_schema(
"CREATE OR REPLACE FUNCTION public.bump_counter(id integer)\nRETURNS integer\nLANGUAGE plpgsql\nAS $$ BEGIN RETURN id + 1; END; $$",
"archive",
)
.unwrap();
assert!(rewritten.starts_with("CREATE OR REPLACE FUNCTION \"archive\".\"bump_counter\"("));
}
#[test]
fn postgres_trigger_schema_rewrite_targets_destination_table() {
let rewritten = rewrite_postgres_trigger_table_schema(
"CREATE TRIGGER bump BEFORE INSERT ON public.users FOR EACH ROW EXECUTE FUNCTION public.bump_counter()",
"public",
"users",
"archive",
);
assert!(rewritten.contains(" ON \"archive\".\"users\" "));
}
#[test]
fn postgres_extension_enum_and_domain_ddl_is_repeatable() {
let extension_sql = generate_postgres_extension_ddl(
&PostgresExtensionSource { extension_name: "pgcrypto".to_string() },
"archive",
);
let enum_sql = generate_postgres_enum_ddl(
&PostgresEnumSource {
type_name: "status".to_string(),
labels: vec!["pending".to_string(), "done".to_string()],
},
"archive",
);
let domain_sql = generate_postgres_domain_ddl(
&PostgresDomainSource {
domain_name: "email".to_string(),
base_type: "text".to_string(),
default_value: Some("'unknown@example.com'::text".to_string()),
not_null: true,
checks: vec!["CHECK ((VALUE ~* '^[^@]+@[^@]+$'::text))".to_string()],
},
"archive",
);
assert_eq!(extension_sql, "CREATE EXTENSION IF NOT EXISTS \"pgcrypto\" WITH SCHEMA \"archive\"");
assert!(enum_sql.contains("DO $$ BEGIN IF NOT EXISTS"));
assert!(enum_sql.contains("CREATE TYPE \"archive\".\"status\" AS ENUM ('pending', 'done')"));
assert!(domain_sql.contains("CREATE DOMAIN \"archive\".\"email\" AS text DEFAULT 'unknown@example.com'::text NOT NULL CHECK ((VALUE ~* '^[^@]+@[^@]+$'::text))"));
}
#[test]
fn postgres_materialized_view_ddls_drop_and_recreate_in_target_schema() {
let ddls = generate_postgres_materialized_view_ddls(
&PostgresMaterializedViewSource {
view_name: "active_users".to_string(),
source: "SELECT id, name FROM public.users WHERE active".to_string(),
},
"archive",
);
assert_eq!(ddls.len(), 2);
assert_eq!(ddls[0], "DROP MATERIALIZED VIEW IF EXISTS \"archive\".\"active_users\"");
assert_eq!(
ddls[1],
"CREATE MATERIALIZED VIEW \"archive\".\"active_users\" AS\nSELECT id, name FROM public.users WHERE active;"
);
}
#[test]
fn mysql_insert_normalizes_rfc3339_datetime_strings() {
let sql = generate_insert_typed(
&[String::from("insurance_start_time")],
&[Some(String::from("datetime"))],
&[vec![json!("2026-05-12T00:00:00+00:00")]],
"policies",
"",
&DatabaseType::Mysql,
);
assert_eq!(sql, "INSERT INTO `policies` (`insurance_start_time`) VALUES\n('2026-05-12 00:00:00')");
}
#[test]
fn mysql_insert_omits_database_qualified_table_name() {
let sql = generate_insert_typed(
&[String::from("id")],
&[Some(String::from("int"))],
&[vec![json!(1)]],
"users",
"app",
&DatabaseType::Mysql,
);
assert_eq!(sql, "INSERT INTO `users` (`id`) VALUES\n(1)");
}
#[test]
fn mysql_insert_uses_column_types_for_temporal_literals() {
let sql = generate_insert_typed(
&[String::from("dt"), String::from("raw_text"), String::from("d"), String::from("t")],
&[
Some(String::from("datetime")),
Some(String::from("varchar(64)")),
Some(String::from("date")),
Some(String::from("time")),
],
&[vec![
json!("2026-05-12T00:00:00+00:00"),
json!("2026-05-12T00:00:00+00:00"),
json!("2026-05-12T00:00:00+00:00"),
json!("2026-05-12T09:30:45+00:00"),
]],
"policies",
"",
&DatabaseType::Mysql,
);
assert_eq!(
sql,
"INSERT INTO `policies` (`dt`, `raw_text`, `d`, `t`) VALUES\n('2026-05-12 00:00:00', '2026-05-12T00:00:00+00:00', '2026-05-12', '09:30:45')"
);
}
#[test]
fn transfer_write_sql_batches_split_large_insert_statements() {
let rows = (0..4).map(|index| vec![json!(index), json!("x".repeat(180 * 1024))]).collect::<Vec<_>>();
let statements = generate_transfer_write_sql_batches(
&TransferMode::Append,
&[String::from("id"), String::from("payload")],
&[Some(String::from("int")), Some(String::from("text"))],
&rows,
"events",
"",
&DatabaseType::Mysql,
&[],
);
assert!(statements.len() > 1);
assert!(statements.iter().all(|sql| sql.starts_with("INSERT INTO `events`")));
}
#[test]
fn transfer_write_sql_batches_keep_existing_upsert_sql_shape() {
let statements = generate_transfer_write_sql_batches(
&TransferMode::Upsert,
&[String::from("id"), String::from("name")],
&[Some(String::from("int")), Some(String::from("varchar(64)"))],
&[vec![json!(1), json!("Ada")]],
"users",
"",
&DatabaseType::Mysql,
&[String::from("id")],
);
assert_eq!(statements.len(), 1);
assert!(statements[0].contains("ON DUPLICATE KEY UPDATE"));
}
#[tokio::test]
async fn duckdb_transfer_columns_use_requested_schema() {
let dir = std::env::temp_dir().join(format!("dbx-transfer-test-{}", uuid::Uuid::new_v4()));
std::fs::create_dir_all(&dir).unwrap();
let storage = Storage::open(&dir.join("storage.db")).await.unwrap();
let con = duckdb::Connection::open_in_memory().unwrap();
con.execute_batch("CREATE SCHEMA analytics; CREATE TABLE analytics.items(id INTEGER);").unwrap();
let state = AppState::new(storage);
let con = Arc::new(std::sync::Mutex::new(con));
state.connections.write().await.insert("duckdb-1".to_string(), PoolKind::DuckDb(con));
state.configs.write().await.insert("duckdb-1".to_string(), duckdb_test_config("duckdb-1"));
let columns =
get_columns_for_transfer(&state, "duckdb-1", "duckdb-1", "main", "analytics", "items").await.unwrap();
assert_eq!(columns.iter().map(|c| c.name.as_str()).collect::<Vec<_>>(), vec!["id"]);
}
#[test]
fn database_from_pool_key_handles_session_scoped_keys() {
assert_eq!(database_from_pool_key("conn:analytics"), Some("analytics"));
assert_eq!(database_from_pool_key("conn:analytics:session:editor-1"), Some("analytics"));
assert_eq!(database_from_pool_key("conn"), None);
}
#[test]
fn map_column_type_preserves_longtext_for_mysql_target() {
assert_eq!(map_column_type("longtext", &DatabaseType::Mysql, &DatabaseType::Mysql), "LONGTEXT");
}
#[test]
fn map_column_type_preserves_mediumtext_for_mysql_target() {
assert_eq!(map_column_type("mediumtext", &DatabaseType::Mysql, &DatabaseType::Mysql), "MEDIUMTEXT");
}
#[test]
fn map_column_type_preserves_longblob_for_mysql_target() {
assert_eq!(map_column_type("longblob", &DatabaseType::Mysql, &DatabaseType::Mysql), "LONGBLOB");
}
#[test]
fn map_column_type_preserves_mediumblob_for_mysql_target() {
assert_eq!(map_column_type("mediumblob", &DatabaseType::Mysql, &DatabaseType::Mysql), "MEDIUMBLOB");
}
#[test]
fn map_column_type_longtext_falls_back_to_text_for_non_mysql_target() {
assert_eq!(map_column_type("longtext", &DatabaseType::Mysql, &DatabaseType::Postgres), "TEXT");
}
#[test]
fn map_column_type_longblob_falls_back_for_non_mysql_target() {
assert_eq!(map_column_type("longblob", &DatabaseType::Mysql, &DatabaseType::Postgres), "BYTEA");
}
#[test]
fn parse_mysql_row_error_extracts_row_number() {
let err = "ERROR 22001 (1406): Data too long column 'content' at row 8";
assert_eq!(parse_mysql_row_error(err), Some(8));
}
#[test]
fn parse_mysql_row_error_returns_none_for_non_mysql_error() {
assert_eq!(parse_mysql_row_error("some other error"), None);
}
}