mirror of
https://github.com/Kaelio/ktx.git
synced 2026-06-19 08:28:06 +02:00
* feat(mysql): implement columnStats using INFORMATION_SCHEMA.STATISTICS Enable column cardinality statistics for the MySQL connector by querying INFORMATION_SCHEMA.STATISTICS, which provides index-based cardinality estimates without requiring additional permissions. - Add generateColumnStatisticsQuery() to KtxMysqlDialect - Add getColumnStatistics() and columnStats() to KtxMysqlScanConnector - Flip columnStats capability from false to true - Add MysqlStatsRow and KtxMysqlColumnStatisticsResult interfaces - Add tests for dialect query generation and connector stats retrieval - Update dialect conformance fixture for mysql * fix(mysql): filter to leading index columns to avoid inflated cardinality Add AND SEQ_IN_INDEX = 1 to INFORMATION_SCHEMA.STATISTICS query to ensure only leading index columns are returned. For composite indexes, non-leading columns report the cardinality of the index prefix rather than the column's own distinct count, which inflates distinctCount. Add regression test asserting SEQ_IN_INDEX = 1 is present in the query. * fix: add trailing newline to dialect.test.ts --------- Co-authored-by: Andrey Avtomonov <andreybavt@gmail.com>
599 lines
22 KiB
TypeScript
599 lines
22 KiB
TypeScript
import { describe, expect, it, vi } from 'vitest';
|
|
import type { FieldPacket, RowDataPacket } from 'mysql2/promise';
|
|
import { createMysqlLiveDatabaseIntrospection } from '../../../src/connectors/mysql/live-database-introspection.js';
|
|
import { isKtxMysqlConnectionConfig, KtxMysqlScanConnector, mysqlConnectionPoolConfigFromConfig, prepareMysqlReadOnlyQuery, type KtxMysqlConnectionConfig, type KtxMysqlPoolFactory } from '../../../src/connectors/mysql/connector.js';
|
|
import { tableRefSet } from '../../../src/context/scan/table-ref.js';
|
|
|
|
function mysqlResult(rows: Record<string, unknown>[], fields: Array<{ name: string; type?: number }>): [RowDataPacket[], FieldPacket[]] {
|
|
return [rows as RowDataPacket[], fields as FieldPacket[]];
|
|
}
|
|
|
|
function fakePoolFactory(): KtxMysqlPoolFactory {
|
|
const query = vi.fn(async (sql: string, params?: unknown): Promise<[RowDataPacket[], FieldPacket[]]> => {
|
|
if (sql.includes('INFORMATION_SCHEMA.TABLES')) {
|
|
return mysqlResult(
|
|
[
|
|
{ TABLE_SCHEMA: 'analytics', TABLE_NAME: 'customers', TABLE_TYPE: 'BASE TABLE', TABLE_COMMENT: 'Customer table', TABLE_ROWS: 2 },
|
|
{ TABLE_SCHEMA: 'analytics', TABLE_NAME: 'orders', TABLE_TYPE: 'BASE TABLE', TABLE_COMMENT: 'InnoDB free: 1 kB; Order table', TABLE_ROWS: 2 },
|
|
{ TABLE_SCHEMA: 'analytics', TABLE_NAME: 'order_summary', TABLE_TYPE: 'VIEW', TABLE_COMMENT: '', TABLE_ROWS: null },
|
|
],
|
|
[{ name: 'TABLE_NAME' }, { name: 'TABLE_TYPE' }, { name: 'TABLE_COMMENT' }, { name: 'TABLE_ROWS' }],
|
|
);
|
|
}
|
|
if (sql.includes('INFORMATION_SCHEMA.COLUMNS')) {
|
|
return mysqlResult(
|
|
[
|
|
{ TABLE_NAME: 'customers', COLUMN_NAME: 'id', DATA_TYPE: 'int', IS_NULLABLE: 'NO', COLUMN_COMMENT: 'PK' },
|
|
{ TABLE_NAME: 'customers', COLUMN_NAME: 'name', DATA_TYPE: 'varchar', IS_NULLABLE: 'NO', COLUMN_COMMENT: '' },
|
|
{ TABLE_NAME: 'orders', COLUMN_NAME: 'id', DATA_TYPE: 'int', IS_NULLABLE: 'NO', COLUMN_COMMENT: '' },
|
|
{ TABLE_NAME: 'orders', COLUMN_NAME: 'customer_id', DATA_TYPE: 'int', IS_NULLABLE: 'NO', COLUMN_COMMENT: '' },
|
|
{ TABLE_NAME: 'orders', COLUMN_NAME: 'status', DATA_TYPE: 'varchar', IS_NULLABLE: 'YES', COLUMN_COMMENT: '' },
|
|
{ TABLE_NAME: 'order_summary', COLUMN_NAME: 'status', DATA_TYPE: 'varchar', IS_NULLABLE: 'YES', COLUMN_COMMENT: '' },
|
|
],
|
|
[{ name: 'TABLE_NAME' }, { name: 'COLUMN_NAME' }, { name: 'DATA_TYPE' }, { name: 'IS_NULLABLE' }],
|
|
);
|
|
}
|
|
if (sql.includes('INFORMATION_SCHEMA.KEY_COLUMN_USAGE') && sql.includes("CONSTRAINT_NAME = 'PRIMARY'")) {
|
|
return mysqlResult([{ TABLE_NAME: 'customers', COLUMN_NAME: 'id' }, { TABLE_NAME: 'orders', COLUMN_NAME: 'id' }], []);
|
|
}
|
|
if (sql.includes('INFORMATION_SCHEMA.KEY_COLUMN_USAGE') && sql.includes('REFERENCED_TABLE_NAME IS NOT NULL')) {
|
|
return mysqlResult(
|
|
[
|
|
{
|
|
TABLE_NAME: 'orders',
|
|
COLUMN_NAME: 'customer_id',
|
|
REFERENCED_TABLE_NAME: 'customers',
|
|
REFERENCED_COLUMN_NAME: 'id',
|
|
CONSTRAINT_NAME: 'orders_customer_id_fk',
|
|
},
|
|
],
|
|
[],
|
|
);
|
|
}
|
|
if (sql.includes('SELECT `id`, `status` FROM `analytics`.`orders` LIMIT 1')) {
|
|
return mysqlResult([{ id: 10, status: 'paid' }], [{ name: 'id', type: 3 }, { name: 'status', type: 253 }]);
|
|
}
|
|
if (sql.includes('select * from (select id, status from analytics.orders) as ktx_query_result limit 1')) {
|
|
return mysqlResult([{ id: 10, status: 'paid' }], [{ name: 'id', type: 3 }, { name: 'status', type: 253 }]);
|
|
}
|
|
if (sql.includes('SELECT `status` FROM `analytics`.`orders`')) {
|
|
return mysqlResult([{ status: 'paid' }, { status: 'open' }], [{ name: 'status', type: 253 }]);
|
|
}
|
|
if (sql.includes('COUNT(DISTINCT val)')) {
|
|
return mysqlResult([{ cardinality: 2 }], [{ name: 'cardinality', type: 8 }]);
|
|
}
|
|
if (sql.includes('SELECT DISTINCT CAST(`status` AS CHAR) AS val')) {
|
|
return mysqlResult([{ val: 'open' }, { val: 'paid' }], [{ name: 'val', type: 253 }]);
|
|
}
|
|
if (sql.includes('COUNT(*) AS count')) {
|
|
return mysqlResult([{ count: 2 }], [{ name: 'count', type: 8 }]);
|
|
}
|
|
if (sql.includes('INFORMATION_SCHEMA.SCHEMATA')) {
|
|
return mysqlResult([{ SCHEMA_NAME: 'analytics' }, { SCHEMA_NAME: 'warehouse' }], [{ name: 'SCHEMA_NAME' }]);
|
|
}
|
|
if (sql.trim() === 'SELECT 1') {
|
|
return mysqlResult([{ '1': 1 }], [{ name: '1', type: 8 }]);
|
|
}
|
|
if (sql.includes('INFORMATION_SCHEMA.STATISTICS')) {
|
|
expect(sql).toContain('SEQ_IN_INDEX = 1');
|
|
return mysqlResult(
|
|
[
|
|
{ column_name: 'id', estimated_cardinality: 2 },
|
|
{ column_name: 'customer_id', estimated_cardinality: 2 },
|
|
],
|
|
[{ name: 'column_name' }, { name: 'estimated_cardinality' }],
|
|
);
|
|
}
|
|
throw new Error(`Unexpected SQL: ${sql} params=${JSON.stringify(params)}`);
|
|
});
|
|
const release = vi.fn();
|
|
const end = vi.fn(async () => undefined);
|
|
return {
|
|
createPool: vi.fn(() => ({
|
|
getConnection: vi.fn(async () => ({ query, release })),
|
|
end,
|
|
})),
|
|
};
|
|
}
|
|
|
|
function multiSchemaMysqlPoolFactory(
|
|
options: { primaryKeyError?: Error; foreignKeyError?: Error } = {},
|
|
): KtxMysqlPoolFactory {
|
|
const query = vi.fn(async (sql: string, params?: unknown): Promise<[RowDataPacket[], FieldPacket[]]> => {
|
|
if (sql.includes('INFORMATION_SCHEMA.TABLES')) {
|
|
expect(params).toEqual(['analytics', 'mart']);
|
|
return mysqlResult(
|
|
[
|
|
{
|
|
TABLE_SCHEMA: 'analytics',
|
|
TABLE_NAME: 'customers',
|
|
TABLE_TYPE: 'BASE TABLE',
|
|
TABLE_COMMENT: '',
|
|
TABLE_ROWS: 2,
|
|
},
|
|
{
|
|
TABLE_SCHEMA: 'mart',
|
|
TABLE_NAME: 'orders',
|
|
TABLE_TYPE: 'BASE TABLE',
|
|
TABLE_COMMENT: '',
|
|
TABLE_ROWS: 3,
|
|
},
|
|
],
|
|
[
|
|
{ name: 'TABLE_SCHEMA' },
|
|
{ name: 'TABLE_NAME' },
|
|
{ name: 'TABLE_TYPE' },
|
|
{ name: 'TABLE_COMMENT' },
|
|
{ name: 'TABLE_ROWS' },
|
|
],
|
|
);
|
|
}
|
|
if (sql.includes('INFORMATION_SCHEMA.COLUMNS')) {
|
|
expect(params).toEqual(['analytics', 'mart']);
|
|
return mysqlResult(
|
|
[
|
|
{
|
|
TABLE_SCHEMA: 'analytics',
|
|
TABLE_NAME: 'customers',
|
|
COLUMN_NAME: 'id',
|
|
DATA_TYPE: 'int',
|
|
IS_NULLABLE: 'NO',
|
|
COLUMN_COMMENT: '',
|
|
},
|
|
{
|
|
TABLE_SCHEMA: 'mart',
|
|
TABLE_NAME: 'orders',
|
|
COLUMN_NAME: 'id',
|
|
DATA_TYPE: 'int',
|
|
IS_NULLABLE: 'NO',
|
|
COLUMN_COMMENT: '',
|
|
},
|
|
],
|
|
[],
|
|
);
|
|
}
|
|
if (sql.includes('INFORMATION_SCHEMA.KEY_COLUMN_USAGE') && sql.includes("CONSTRAINT_NAME = 'PRIMARY'")) {
|
|
if (options.primaryKeyError) {
|
|
throw options.primaryKeyError;
|
|
}
|
|
expect(params).toEqual(['analytics', 'mart']);
|
|
return mysqlResult(
|
|
[
|
|
{ TABLE_SCHEMA: 'analytics', TABLE_NAME: 'customers', COLUMN_NAME: 'id' },
|
|
{ TABLE_SCHEMA: 'mart', TABLE_NAME: 'orders', COLUMN_NAME: 'id' },
|
|
],
|
|
[],
|
|
);
|
|
}
|
|
if (sql.includes('INFORMATION_SCHEMA.KEY_COLUMN_USAGE') && sql.includes('REFERENCED_TABLE_NAME IS NOT NULL')) {
|
|
if (options.foreignKeyError) {
|
|
throw options.foreignKeyError;
|
|
}
|
|
expect(params).toEqual(['analytics', 'mart']);
|
|
return mysqlResult([], []);
|
|
}
|
|
throw new Error(`Unexpected SQL: ${sql} params=${JSON.stringify(params)}`);
|
|
});
|
|
return {
|
|
createPool: vi.fn(() => ({
|
|
getConnection: vi.fn(async () => ({ query, release: vi.fn() })),
|
|
end: vi.fn(async () => undefined),
|
|
})),
|
|
};
|
|
}
|
|
|
|
describe('KtxMysqlScanConnector', () => {
|
|
it('prepares read-only SQL parameters with MySQL positional placeholders', () => {
|
|
expect(
|
|
prepareMysqlReadOnlyQuery('select * from orders where id = :id and status = :status', {
|
|
status: 'paid',
|
|
id: 10,
|
|
}),
|
|
).toEqual({
|
|
sql: 'select * from orders where id = ? and status = ?',
|
|
params: [10, 'paid'],
|
|
});
|
|
expect(prepareMysqlReadOnlyQuery('select 1')).toEqual({ sql: 'select 1', params: undefined });
|
|
});
|
|
|
|
it('resolves MySQL connection configuration safely', () => {
|
|
expect(isKtxMysqlConnectionConfig({ driver: 'mysql', host: 'localhost', database: 'analytics' })).toBe(true);
|
|
expect(isKtxMysqlConnectionConfig({ driver: 'postgres', host: 'localhost', database: 'analytics' })).toBe(false);
|
|
expect(
|
|
mysqlConnectionPoolConfigFromConfig({
|
|
connectionId: 'warehouse',
|
|
connection: {
|
|
driver: 'mysql',
|
|
host: 'db.example.test',
|
|
port: 3307,
|
|
database: 'analytics',
|
|
username: 'reader',
|
|
password: 'secret', // pragma: allowlist secret
|
|
ssl: true,
|
|
},
|
|
}),
|
|
).toMatchObject({
|
|
host: 'db.example.test',
|
|
port: 3307,
|
|
database: 'analytics',
|
|
user: 'reader',
|
|
password: 'secret', // pragma: allowlist secret
|
|
ssl: { rejectUnauthorized: false },
|
|
});
|
|
});
|
|
|
|
it('defaults and validates MySQL maxConnections', () => {
|
|
const baseConnection: KtxMysqlConnectionConfig = {
|
|
driver: 'mysql',
|
|
host: 'db.example.test',
|
|
database: 'analytics',
|
|
username: 'reader',
|
|
password: 'secret', // pragma: allowlist secret
|
|
};
|
|
|
|
expect(
|
|
mysqlConnectionPoolConfigFromConfig({
|
|
connectionId: 'warehouse',
|
|
connection: baseConnection,
|
|
}),
|
|
).toMatchObject({ connectionLimit: 10 });
|
|
|
|
expect(
|
|
mysqlConnectionPoolConfigFromConfig({
|
|
connectionId: 'warehouse',
|
|
connection: { ...baseConnection, maxConnections: 25 },
|
|
}),
|
|
).toMatchObject({ connectionLimit: 25 });
|
|
|
|
expect(
|
|
mysqlConnectionPoolConfigFromConfig({
|
|
connectionId: 'warehouse',
|
|
connection: { ...baseConnection, maxConnections: '12' as never },
|
|
}),
|
|
).toMatchObject({ connectionLimit: 12 });
|
|
|
|
for (const maxConnections of [0, -1, 1.5, Number.NaN, 'abc' as never]) {
|
|
expect(() =>
|
|
mysqlConnectionPoolConfigFromConfig({
|
|
connectionId: 'warehouse',
|
|
connection: { ...baseConnection, maxConnections },
|
|
}),
|
|
).toThrow('connections.warehouse.maxConnections must be a positive integer');
|
|
}
|
|
});
|
|
|
|
it('introspects schema, primary keys, comments, row counts, views, and foreign keys', async () => {
|
|
const connector = new KtxMysqlScanConnector({
|
|
connectionId: 'warehouse',
|
|
connection: {
|
|
driver: 'mysql',
|
|
host: 'db.example.test',
|
|
database: 'analytics',
|
|
username: 'reader',
|
|
password: 'secret', // pragma: allowlist secret
|
|
},
|
|
poolFactory: fakePoolFactory(),
|
|
now: () => new Date('2026-04-29T12:00:00.000Z'),
|
|
});
|
|
|
|
const snapshot = await connector.introspect(
|
|
{ connectionId: 'warehouse', driver: 'mysql' },
|
|
{ runId: 'scan-run-1' },
|
|
);
|
|
|
|
expect(snapshot).toMatchObject({
|
|
connectionId: 'warehouse',
|
|
driver: 'mysql',
|
|
extractedAt: '2026-04-29T12:00:00.000Z',
|
|
scope: { schemas: ['analytics'] },
|
|
metadata: {
|
|
database: 'analytics',
|
|
host: 'db.example.test',
|
|
table_count: 3,
|
|
total_columns: 6,
|
|
},
|
|
});
|
|
expect(snapshot.tables.map((table) => [table.name, table.kind, table.estimatedRows, table.comment])).toEqual([
|
|
['customers', 'table', 2, 'Customer table'],
|
|
['orders', 'table', 2, 'Order table'],
|
|
['order_summary', 'view', null, null],
|
|
]);
|
|
expect(snapshot.tables.find((table) => table.name === 'customers')?.columns[0]).toMatchObject({
|
|
name: 'id',
|
|
nativeType: 'int',
|
|
normalizedType: 'int',
|
|
dimensionType: 'number',
|
|
nullable: false,
|
|
primaryKey: true,
|
|
comment: 'PK',
|
|
});
|
|
expect(snapshot.tables.find((table) => table.name === 'orders')?.foreignKeys).toEqual([
|
|
{
|
|
fromColumn: 'customer_id',
|
|
toCatalog: null,
|
|
toDb: 'analytics',
|
|
toTable: 'customers',
|
|
toColumn: 'id',
|
|
constraintName: 'orders_customer_id_fk',
|
|
},
|
|
]);
|
|
});
|
|
|
|
it('introspects every configured MySQL schema scope', async () => {
|
|
const connector = new KtxMysqlScanConnector({
|
|
connectionId: 'warehouse',
|
|
connection: {
|
|
driver: 'mysql',
|
|
host: 'db.example.test',
|
|
database: 'analytics',
|
|
schemas: ['analytics', 'mart'],
|
|
username: 'reader',
|
|
password: 'secret', // pragma: allowlist secret
|
|
},
|
|
poolFactory: multiSchemaMysqlPoolFactory(),
|
|
now: () => new Date('2026-05-21T10:00:00.000Z'),
|
|
});
|
|
|
|
const snapshot = await connector.introspect(
|
|
{ connectionId: 'warehouse', driver: 'mysql' },
|
|
{ runId: 'scan-run-1' },
|
|
);
|
|
|
|
expect(snapshot.scope).toEqual({ schemas: ['analytics', 'mart'] });
|
|
expect(snapshot.metadata).toMatchObject({ database: 'analytics', schemas: ['analytics', 'mart'] });
|
|
expect(snapshot.tables.map((table) => `${table.db}.${table.name}`)).toEqual([
|
|
'analytics.customers',
|
|
'mart.orders',
|
|
]);
|
|
});
|
|
|
|
it('soft-fails denied MySQL constraint discovery with one warning per schema and kind', async () => {
|
|
const connector = new KtxMysqlScanConnector({
|
|
connectionId: 'warehouse',
|
|
connection: {
|
|
driver: 'mysql',
|
|
host: 'db.example.test',
|
|
database: 'analytics',
|
|
schemas: ['analytics', 'mart'],
|
|
username: 'reader',
|
|
password: 'secret', // pragma: allowlist secret
|
|
},
|
|
poolFactory: multiSchemaMysqlPoolFactory({
|
|
primaryKeyError: Object.assign(new Error('select command denied'), {
|
|
code: 'ER_TABLEACCESS_DENIED_ERROR',
|
|
errno: 1142,
|
|
}),
|
|
foreignKeyError: Object.assign(new Error('database access denied'), {
|
|
code: 'ER_DBACCESS_DENIED_ERROR',
|
|
errno: 1044,
|
|
}),
|
|
}),
|
|
now: () => new Date('2026-04-29T12:00:00.000Z'),
|
|
});
|
|
|
|
const snapshot = await connector.introspect(
|
|
{ connectionId: 'warehouse', driver: 'mysql' },
|
|
{ runId: 'scan-run-mysql-denied-constraints' },
|
|
);
|
|
|
|
expect(snapshot.warnings).toEqual([
|
|
{
|
|
code: 'constraint_discovery_unauthorized',
|
|
message: 'Skipped primary-key discovery in analytics (insufficient grants on system catalogs)',
|
|
recoverable: true,
|
|
metadata: { schema: 'analytics', kind: 'primary_key' },
|
|
},
|
|
{
|
|
code: 'constraint_discovery_unauthorized',
|
|
message: 'Skipped primary-key discovery in mart (insufficient grants on system catalogs)',
|
|
recoverable: true,
|
|
metadata: { schema: 'mart', kind: 'primary_key' },
|
|
},
|
|
{
|
|
code: 'constraint_discovery_unauthorized',
|
|
message: 'Skipped foreign-key discovery in analytics (insufficient grants on system catalogs)',
|
|
recoverable: true,
|
|
metadata: { schema: 'analytics', kind: 'foreign_key' },
|
|
},
|
|
{
|
|
code: 'constraint_discovery_unauthorized',
|
|
message: 'Skipped foreign-key discovery in mart (insufficient grants on system catalogs)',
|
|
recoverable: true,
|
|
metadata: { schema: 'mart', kind: 'foreign_key' },
|
|
},
|
|
]);
|
|
expect(snapshot.tables.every((table) => table.columns.every((column) => column.primaryKey === false))).toBe(true);
|
|
expect(snapshot.tables.every((table) => table.foreignKeys.length === 0)).toBe(true);
|
|
});
|
|
|
|
it('limits introspection to tables in tableScope', async () => {
|
|
const queries: Array<{ sql: string; params?: unknown }> = [];
|
|
const poolFactory: KtxMysqlPoolFactory = {
|
|
createPool: vi.fn(() => ({
|
|
getConnection: vi.fn(async () => ({
|
|
query: vi.fn(async (sql: string, params?: unknown): Promise<[RowDataPacket[], FieldPacket[]]> => {
|
|
queries.push({ sql, params });
|
|
if (sql.includes('INFORMATION_SCHEMA.TABLES')) {
|
|
return mysqlResult(
|
|
[
|
|
{
|
|
TABLE_SCHEMA: 'analytics',
|
|
TABLE_NAME: 'orders',
|
|
TABLE_TYPE: 'BASE TABLE',
|
|
TABLE_COMMENT: '',
|
|
TABLE_ROWS: 2,
|
|
},
|
|
],
|
|
[],
|
|
);
|
|
}
|
|
if (sql.includes('INFORMATION_SCHEMA.COLUMNS')) {
|
|
return mysqlResult(
|
|
[
|
|
{
|
|
TABLE_SCHEMA: 'analytics',
|
|
TABLE_NAME: 'orders',
|
|
COLUMN_NAME: 'id',
|
|
DATA_TYPE: 'int',
|
|
IS_NULLABLE: 'NO',
|
|
COLUMN_COMMENT: '',
|
|
},
|
|
],
|
|
[],
|
|
);
|
|
}
|
|
return mysqlResult([], []);
|
|
}),
|
|
release: vi.fn(),
|
|
})),
|
|
end: vi.fn(async () => undefined),
|
|
})),
|
|
};
|
|
const connector = new KtxMysqlScanConnector({
|
|
connectionId: 'warehouse',
|
|
connection: {
|
|
driver: 'mysql',
|
|
host: 'db.example.test',
|
|
database: 'analytics',
|
|
username: 'reader',
|
|
password: 'secret', // pragma: allowlist secret
|
|
},
|
|
poolFactory,
|
|
});
|
|
const scope = tableRefSet([{ catalog: null, db: 'analytics', name: 'orders' }]);
|
|
const snapshot = await connector.introspect(
|
|
{ connectionId: 'warehouse', driver: 'mysql', tableScope: scope },
|
|
{ runId: 'scope-test' },
|
|
);
|
|
expect(snapshot.tables.map((table) => table.name)).toEqual(['orders']);
|
|
const tablesQuery = queries.find((query) => query.sql.includes('INFORMATION_SCHEMA.TABLES'));
|
|
expect(tablesQuery?.sql).toMatch(/TABLE_NAME IN \(\?\)/);
|
|
expect(tablesQuery?.params).toEqual(['analytics', 'orders']);
|
|
});
|
|
|
|
it('runs samples, distinct values, read-only SQL, row count, schema list, and cleanup', async () => {
|
|
const poolFactory = fakePoolFactory();
|
|
const connector = new KtxMysqlScanConnector({
|
|
connectionId: 'warehouse',
|
|
connection: {
|
|
driver: 'mysql',
|
|
host: 'db.example.test',
|
|
database: 'analytics',
|
|
username: 'reader',
|
|
password: 'secret', // pragma: allowlist secret
|
|
},
|
|
poolFactory,
|
|
});
|
|
|
|
await expect(
|
|
connector.sampleTable(
|
|
{ connectionId: 'warehouse', table: { catalog: null, db: 'analytics', name: 'orders' }, columns: ['id', 'status'], limit: 1 },
|
|
{ runId: 'scan-run-1' },
|
|
),
|
|
).resolves.toEqual({ headers: ['id', 'status'], rows: [[10, 'paid']], totalRows: 1 });
|
|
|
|
await expect(
|
|
connector.sampleColumn(
|
|
{ connectionId: 'warehouse', table: { catalog: null, db: 'analytics', name: 'orders' }, column: 'status', limit: 5 },
|
|
{ runId: 'scan-run-1' },
|
|
),
|
|
).resolves.toMatchObject({ values: ['paid', 'open'], nullCount: null, distinctCount: null });
|
|
|
|
await expect(
|
|
connector.getColumnDistinctValues(
|
|
{ catalog: null, db: 'analytics', name: 'orders' },
|
|
'status',
|
|
{ maxCardinality: 5, limit: 10, sampleSize: 100 },
|
|
),
|
|
).resolves.toEqual({ values: ['open', 'paid'], cardinality: 2 });
|
|
|
|
await expect(
|
|
connector.executeReadOnly(
|
|
{ connectionId: 'warehouse', sql: 'select id, status from analytics.orders', maxRows: 1 },
|
|
{ runId: 'scan-run-1' },
|
|
),
|
|
).resolves.toMatchObject({ headers: ['id', 'status'], rows: [[10, 'paid']], totalRows: 1, rowCount: 1 });
|
|
|
|
await expect(
|
|
connector.executeReadOnly({ connectionId: 'warehouse', sql: 'delete from orders' }, { runId: 'scan-run-1' }),
|
|
).rejects.toThrow('Only read-only SELECT/WITH queries can be executed locally');
|
|
|
|
await expect(connector.getTableRowCount('orders')).resolves.toBe(2);
|
|
await expect(connector.listSchemas()).resolves.toEqual(['analytics', 'warehouse']);
|
|
await expect(connector.listTables(['analytics'])).resolves.toEqual([
|
|
{ catalog: null, schema: 'analytics', name: 'customers', kind: 'table' },
|
|
{ catalog: null, schema: 'analytics', name: 'orders', kind: 'table' },
|
|
{ catalog: null, schema: 'analytics', name: 'order_summary', kind: 'view' },
|
|
]);
|
|
await expect(
|
|
connector.columnStats(
|
|
{ connectionId: 'warehouse', table: { catalog: null, db: 'analytics', name: 'orders' }, column: 'id' },
|
|
{ runId: 'scan-run-1' },
|
|
),
|
|
).resolves.toEqual({ min: null, max: null, average: null, nullCount: null, distinctCount: 2 });
|
|
|
|
await expect(
|
|
connector.columnStats(
|
|
{ connectionId: 'warehouse', table: { catalog: null, db: 'analytics', name: 'orders' }, column: 'status' },
|
|
{ runId: 'scan-run-1' },
|
|
),
|
|
).resolves.toBeNull();
|
|
|
|
await expect(
|
|
connector.getColumnStatistics({ catalog: null, db: 'analytics', name: 'orders' }),
|
|
).resolves.toMatchObject({
|
|
cardinalityByColumn: new Map([['id', 2], ['customer_id', 2]]),
|
|
});
|
|
|
|
await connector.cleanup();
|
|
});
|
|
|
|
it('adapts native MySQL snapshots to live-database introspection for local ingest', async () => {
|
|
const introspection = createMysqlLiveDatabaseIntrospection({
|
|
connections: {
|
|
warehouse: {
|
|
driver: 'mysql',
|
|
host: 'db.example.test',
|
|
database: 'analytics',
|
|
username: 'reader',
|
|
password: 'secret', // pragma: allowlist secret
|
|
},
|
|
},
|
|
poolFactory: fakePoolFactory(),
|
|
now: () => new Date('2026-04-29T12:00:00.000Z'),
|
|
});
|
|
|
|
const snapshot = await introspection.extractSchema('warehouse');
|
|
|
|
expect(snapshot).toMatchObject({
|
|
connectionId: 'warehouse',
|
|
extractedAt: '2026-04-29T12:00:00.000Z',
|
|
});
|
|
expect(snapshot.tables.find((table) => table.name === 'customers')).toMatchObject({
|
|
name: 'customers',
|
|
catalog: null,
|
|
db: 'analytics',
|
|
columns: [
|
|
{
|
|
name: 'id',
|
|
nativeType: 'int',
|
|
normalizedType: 'int',
|
|
dimensionType: 'number',
|
|
nullable: false,
|
|
primaryKey: true,
|
|
comment: 'PK',
|
|
},
|
|
{
|
|
name: 'name',
|
|
nativeType: 'varchar',
|
|
normalizedType: 'varchar',
|
|
dimensionType: 'string',
|
|
nullable: false,
|
|
primaryKey: false,
|
|
comment: null,
|
|
},
|
|
],
|
|
foreignKeys: [],
|
|
});
|
|
});
|
|
});
|