mirror of
https://github.com/Kaelio/ktx.git
synced 2026-06-07 07:55:13 +02:00
refactor: remove legacy historic sql reader fetch surface
This commit is contained in:
parent
c91331b57a
commit
109dd8d836
7 changed files with 48 additions and 412 deletions
|
|
@ -63,122 +63,6 @@ describe('BigQueryHistoricSqlQueryHistoryReader', () => {
|
|||
await expect(reader.probe(client)).rejects.toBeInstanceOf(HistoricSqlGrantsMissingError);
|
||||
});
|
||||
|
||||
it('fetches BigQuery jobs with cursor and maps them into RawQueryRow shape without rowsProduced', async () => {
|
||||
const client = queryClient([
|
||||
{
|
||||
headers: [
|
||||
'job_id',
|
||||
'query',
|
||||
'user_email',
|
||||
'creation_time',
|
||||
'end_time',
|
||||
'runtime_ms',
|
||||
'total_slot_ms',
|
||||
'total_bytes_processed',
|
||||
'state',
|
||||
'error_reason',
|
||||
'error_message',
|
||||
'statement_type',
|
||||
],
|
||||
rows: [
|
||||
[
|
||||
'bquxjob_1',
|
||||
"SELECT COUNT(*) FROM `project-1.analytics.orders` WHERE status = 'paid'",
|
||||
'analyst-a@example.test',
|
||||
'2026-05-04T10:00:00.000Z',
|
||||
'2026-05-04T10:00:01.250Z',
|
||||
1250,
|
||||
3106,
|
||||
161164718,
|
||||
'DONE',
|
||||
null,
|
||||
null,
|
||||
'SELECT',
|
||||
],
|
||||
[
|
||||
'bquxjob_2',
|
||||
'SELECT * FROM `project-1.analytics.missing_table`',
|
||||
'analyst-b@example.test',
|
||||
new Date('2026-05-04T10:05:00.000Z'),
|
||||
null,
|
||||
null,
|
||||
0,
|
||||
0,
|
||||
'DONE',
|
||||
'notFound',
|
||||
'Not found: Table project-1.analytics.missing_table',
|
||||
'SELECT',
|
||||
],
|
||||
],
|
||||
totalRows: 2,
|
||||
},
|
||||
]);
|
||||
const reader = new BigQueryHistoricSqlQueryHistoryReader({ projectId: 'project-1', region: 'US' });
|
||||
|
||||
const rows = [];
|
||||
for await (const row of reader.fetch(
|
||||
client,
|
||||
{
|
||||
start: new Date('2026-05-01T00:00:00.000Z'),
|
||||
end: new Date('2026-05-04T12:00:00.000Z'),
|
||||
},
|
||||
'2026-05-03T00:00:00.000Z',
|
||||
)) {
|
||||
rows.push(row);
|
||||
}
|
||||
|
||||
expect(client.executeQuery).toHaveBeenCalledTimes(1);
|
||||
const sql = firstQuery(client);
|
||||
expect(sql).toContain('FROM `project-1.region-us.INFORMATION_SCHEMA.JOBS_BY_PROJECT`');
|
||||
expect(sql).toContain("creation_time >= TIMESTAMP('2026-05-03T00:00:00.000Z')");
|
||||
expect(sql).toContain("creation_time < TIMESTAMP('2026-05-04T12:00:00.000Z')");
|
||||
expect(sql).toContain("job_type = 'QUERY'");
|
||||
expect(sql).toContain("(statement_type IS NULL OR statement_type != 'SCRIPT')");
|
||||
expect(sql).toContain('ORDER BY creation_time ASC, job_id ASC');
|
||||
expect(sql).toContain('total_slot_ms');
|
||||
expect(sql).toContain('total_bytes_processed');
|
||||
expect(sql).not.toMatch(/total_rows/i);
|
||||
|
||||
expect(rows).toEqual([
|
||||
{
|
||||
id: 'bquxjob_1',
|
||||
sql: "SELECT COUNT(*) FROM `project-1.analytics.orders` WHERE status = 'paid'",
|
||||
user: 'analyst-a@example.test',
|
||||
startedAt: '2026-05-04T10:00:00.000Z',
|
||||
endedAt: '2026-05-04T10:00:01.250Z',
|
||||
runtimeMs: 1250,
|
||||
success: true,
|
||||
errorMessage: null,
|
||||
},
|
||||
{
|
||||
id: 'bquxjob_2',
|
||||
sql: 'SELECT * FROM `project-1.analytics.missing_table`',
|
||||
user: 'analyst-b@example.test',
|
||||
startedAt: '2026-05-04T10:05:00.000Z',
|
||||
endedAt: null,
|
||||
runtimeMs: null,
|
||||
success: false,
|
||||
errorMessage: 'notFound: Not found: Table project-1.analytics.missing_table',
|
||||
},
|
||||
]);
|
||||
});
|
||||
|
||||
it('uses the window start when no cursor is available', async () => {
|
||||
const client = queryClient([{ headers: ['job_id'], rows: [], totalRows: 0 }]);
|
||||
const reader = new BigQueryHistoricSqlQueryHistoryReader({ projectId: 'project-1', region: 'EU' });
|
||||
|
||||
for await (const _row of reader.fetch(client, {
|
||||
start: new Date('2026-02-03T12:00:00.000Z'),
|
||||
end: new Date('2026-05-04T12:00:00.000Z'),
|
||||
})) {
|
||||
throw new Error('empty result should not yield rows');
|
||||
}
|
||||
|
||||
const sql = firstQuery(client);
|
||||
expect(sql).toContain('FROM `project-1.region-eu.INFORMATION_SCHEMA.JOBS_BY_PROJECT`');
|
||||
expect(sql).toContain("creation_time >= TIMESTAMP('2026-02-03T12:00:00.000Z')");
|
||||
});
|
||||
|
||||
it('fetches aggregated BigQuery query templates', async () => {
|
||||
const client = queryClient([
|
||||
{
|
||||
|
|
@ -245,7 +129,19 @@ describe('BigQueryHistoricSqlQueryHistoryReader', () => {
|
|||
const reader = new BigQueryHistoricSqlQueryHistoryReader({ projectId: 'project-1', region: 'US' });
|
||||
|
||||
await expect(async () => {
|
||||
for await (const _row of reader.fetch({}, { start: new Date(), end: new Date() })) {
|
||||
for await (const _row of reader.fetchAggregated(
|
||||
{},
|
||||
{ start: new Date(), end: new Date() },
|
||||
{
|
||||
dialect: 'bigquery',
|
||||
minExecutions: 5,
|
||||
windowDays: 90,
|
||||
concurrency: 12,
|
||||
filters: { dropTrivialProbes: true },
|
||||
redactionPatterns: [],
|
||||
staleArchiveAfterDays: 90,
|
||||
},
|
||||
)) {
|
||||
throw new Error('unreachable');
|
||||
}
|
||||
}).rejects.toThrow('Historic SQL BigQuery reader requires a query client with executeQuery(query)');
|
||||
|
|
|
|||
|
|
@ -2,8 +2,6 @@ import { HistoricSqlGrantsMissingError } from './errors.js';
|
|||
import {
|
||||
aggregatedTemplateSchema,
|
||||
type AggregatedTemplate,
|
||||
type HistoricSqlQueryHistoryReader,
|
||||
type HistoricSqlRawQueryRow,
|
||||
type HistoricSqlTimeWindow,
|
||||
type HistoricSqlUnifiedPullConfig,
|
||||
} from './types.js';
|
||||
|
|
@ -146,42 +144,6 @@ function isoTimestamp(raw: unknown, field: string): string {
|
|||
return date.toISOString();
|
||||
}
|
||||
|
||||
function nullableIsoTimestamp(raw: unknown): string | null {
|
||||
if (raw === null || raw === undefined || raw === '') {
|
||||
return null;
|
||||
}
|
||||
return isoTimestamp(raw, 'end_time');
|
||||
}
|
||||
|
||||
function executionSucceeded(state: string | null, errorReason: string | null, errorMessage: string | null): boolean {
|
||||
if (errorReason || errorMessage) {
|
||||
return false;
|
||||
}
|
||||
return state === null || state.toUpperCase() === 'DONE';
|
||||
}
|
||||
|
||||
function combinedErrorMessage(errorReason: string | null, errorMessage: string | null): string | null {
|
||||
if (errorReason && errorMessage) {
|
||||
return `${errorReason}: ${errorMessage}`;
|
||||
}
|
||||
return errorMessage ?? errorReason;
|
||||
}
|
||||
|
||||
function mapRow(row: unknown[], indexes: Map<string, number>): HistoricSqlRawQueryRow {
|
||||
const errorReason = nullableString(value(row, indexes, 'error_reason'));
|
||||
const errorMessage = nullableString(value(row, indexes, 'error_message'));
|
||||
return {
|
||||
id: requiredString(value(row, indexes, 'job_id'), 'job_id'),
|
||||
sql: requiredString(value(row, indexes, 'query'), 'query'),
|
||||
user: nullableString(value(row, indexes, 'user_email')),
|
||||
startedAt: isoTimestamp(value(row, indexes, 'creation_time'), 'creation_time'),
|
||||
endedAt: nullableIsoTimestamp(value(row, indexes, 'end_time')),
|
||||
runtimeMs: nullableNumber(value(row, indexes, 'runtime_ms')),
|
||||
success: executionSucceeded(nullableString(value(row, indexes, 'state')), errorReason, errorMessage),
|
||||
errorMessage: combinedErrorMessage(errorReason, errorMessage),
|
||||
};
|
||||
}
|
||||
|
||||
function parseTopUsers(raw: unknown): Array<{ user: string | null; executions: number }> {
|
||||
const text = nullableString(raw);
|
||||
if (!text) {
|
||||
|
|
@ -224,7 +186,7 @@ function mapAggregatedRow(row: unknown[], indexes: Map<string, number>): Aggrega
|
|||
});
|
||||
}
|
||||
|
||||
export class BigQueryHistoricSqlQueryHistoryReader implements HistoricSqlQueryHistoryReader {
|
||||
export class BigQueryHistoricSqlQueryHistoryReader {
|
||||
private readonly viewPath: string;
|
||||
|
||||
constructor(options: BigQueryHistoricSqlQueryHistoryReaderOptions) {
|
||||
|
|
@ -245,44 +207,6 @@ export class BigQueryHistoricSqlQueryHistoryReader implements HistoricSqlQueryHi
|
|||
}
|
||||
}
|
||||
|
||||
async *fetch(
|
||||
client: unknown,
|
||||
window: HistoricSqlTimeWindow,
|
||||
cursor?: string | null,
|
||||
): AsyncIterable<HistoricSqlRawQueryRow> {
|
||||
const start = timestampExpression(cursor ?? window.start);
|
||||
const end = timestampExpression(window.end);
|
||||
const sql = `
|
||||
SELECT
|
||||
job_id,
|
||||
query,
|
||||
user_email,
|
||||
creation_time,
|
||||
end_time,
|
||||
TIMESTAMP_DIFF(end_time, creation_time, MILLISECOND) AS runtime_ms,
|
||||
total_slot_ms,
|
||||
total_bytes_processed,
|
||||
state,
|
||||
error_result.reason AS error_reason,
|
||||
error_result.message AS error_message,
|
||||
statement_type
|
||||
FROM ${this.viewPath}
|
||||
WHERE creation_time >= ${start}
|
||||
AND creation_time < ${end}
|
||||
AND job_type = 'QUERY'
|
||||
AND query IS NOT NULL
|
||||
AND (statement_type IS NULL OR statement_type != 'SCRIPT')
|
||||
ORDER BY creation_time ASC, job_id ASC`.trim();
|
||||
const result = await queryClient(client).executeQuery(sql);
|
||||
if (result.error) {
|
||||
throw grantsError(result.error);
|
||||
}
|
||||
const indexes = indexByHeader(result.headers);
|
||||
for (const row of result.rows) {
|
||||
yield mapRow(row, indexes);
|
||||
}
|
||||
}
|
||||
|
||||
async *fetchAggregated(
|
||||
client: unknown,
|
||||
window: HistoricSqlTimeWindow,
|
||||
|
|
|
|||
|
|
@ -2,6 +2,7 @@ import { describe, expect, it } from 'vitest';
|
|||
import {
|
||||
historicSqlEvidenceEnvelopeSchema,
|
||||
historicSqlEvidencePath,
|
||||
historicSqlPatternEvidenceSchema,
|
||||
historicSqlTableUsageEvidenceSchema,
|
||||
} from './evidence.js';
|
||||
|
||||
|
|
@ -27,20 +28,22 @@ describe('historic-sql evidence contracts', () => {
|
|||
});
|
||||
|
||||
it('validates pattern evidence emitted by the patterns WorkUnit', () => {
|
||||
const parsed = historicSqlEvidenceEnvelopeSchema.parse({
|
||||
kind: 'pattern',
|
||||
connectionId: 'warehouse',
|
||||
rawPath: 'patterns-input.json',
|
||||
pattern: {
|
||||
slug: 'order-lifecycle-analysis',
|
||||
title: 'Order Lifecycle Analysis',
|
||||
narrative: 'Analysts compare order status changes by customer segment.',
|
||||
definitionSql: 'select status, count(*) from public.orders group by status',
|
||||
tablesInvolved: ['public.orders', 'public.customers'],
|
||||
slRefs: ['orders', 'customers'],
|
||||
constituentTemplateIds: ['pg:1', 'pg:2'],
|
||||
},
|
||||
});
|
||||
const parsed = historicSqlPatternEvidenceSchema.parse(
|
||||
historicSqlEvidenceEnvelopeSchema.parse({
|
||||
kind: 'pattern',
|
||||
connectionId: 'warehouse',
|
||||
rawPath: 'patterns-input.json',
|
||||
pattern: {
|
||||
slug: 'order-lifecycle-analysis',
|
||||
title: 'Order Lifecycle Analysis',
|
||||
narrative: 'Analysts compare order status changes by customer segment.',
|
||||
definitionSql: 'select status, count(*) from public.orders group by status',
|
||||
tablesInvolved: ['public.orders', 'public.customers'],
|
||||
slRefs: ['orders', 'customers'],
|
||||
constituentTemplateIds: ['pg:1', 'pg:2'],
|
||||
},
|
||||
}),
|
||||
);
|
||||
|
||||
expect(parsed.kind).toBe('pattern');
|
||||
expect(parsed.pattern.slug).toBe('order-lifecycle-analysis');
|
||||
|
|
|
|||
|
|
@ -3,6 +3,7 @@ import { tmpdir } from 'node:os';
|
|||
import { join } from 'node:path';
|
||||
import { describe, expect, it } from 'vitest';
|
||||
import type { SqlAnalysisPort } from '../../../sql-analysis/index.js';
|
||||
import type { SourceAdapter } from '../../types.js';
|
||||
import { HistoricSqlSourceAdapter } from './historic-sql.adapter.js';
|
||||
import type { HistoricSqlReader } from './types.js';
|
||||
|
||||
|
|
@ -33,7 +34,7 @@ describe('HistoricSqlSourceAdapter', () => {
|
|||
expect(adapter.source).toBe('historic-sql');
|
||||
expect(adapter.skillNames).toEqual(['historic_sql_table_digest', 'historic_sql_patterns']);
|
||||
expect(adapter.reconcileSkillNames).toEqual([]);
|
||||
expect(adapter.evidenceIndexing).toBeUndefined();
|
||||
expect((adapter as SourceAdapter).evidenceIndexing).toBeUndefined();
|
||||
expect(adapter.triageSupported).toBe(false);
|
||||
});
|
||||
|
||||
|
|
|
|||
|
|
@ -62,125 +62,6 @@ describe('SnowflakeHistoricSqlQueryHistoryReader', () => {
|
|||
await expect(reader.probe(client)).rejects.toBeInstanceOf(HistoricSqlGrantsMissingError);
|
||||
});
|
||||
|
||||
it('fetches query-history rows with cursor and maps them into RawQueryRow shape', async () => {
|
||||
const client = queryClient([
|
||||
{
|
||||
headers: [
|
||||
'QUERY_ID',
|
||||
'QUERY_TEXT',
|
||||
'USER_NAME',
|
||||
'ROLE_NAME',
|
||||
'WAREHOUSE_NAME',
|
||||
'DATABASE_NAME',
|
||||
'SCHEMA_NAME',
|
||||
'START_TIME',
|
||||
'END_TIME',
|
||||
'TOTAL_ELAPSED_TIME',
|
||||
'ROWS_PRODUCED',
|
||||
'EXECUTION_STATUS',
|
||||
'ERROR_CODE',
|
||||
'ERROR_MESSAGE',
|
||||
],
|
||||
rows: [
|
||||
[
|
||||
'01a',
|
||||
"SELECT count(*) FROM ANALYTICS.ORDERS WHERE STATUS = 'paid'",
|
||||
'ANALYST_A',
|
||||
'ANALYST_ROLE',
|
||||
'WH_XS',
|
||||
'ANALYTICS',
|
||||
'PUBLIC',
|
||||
'2026-05-04T10:00:00.000Z',
|
||||
'2026-05-04T10:00:01.250Z',
|
||||
1250,
|
||||
12,
|
||||
'SUCCESS',
|
||||
null,
|
||||
null,
|
||||
],
|
||||
[
|
||||
'01b',
|
||||
'SELECT * FROM MISSING_TABLE',
|
||||
'ANALYST_B',
|
||||
'ANALYST_ROLE',
|
||||
'WH_XS',
|
||||
'ANALYTICS',
|
||||
'PUBLIC',
|
||||
new Date('2026-05-04T10:05:00.000Z'),
|
||||
null,
|
||||
null,
|
||||
null,
|
||||
'FAILED_WITH_ERROR',
|
||||
'002003',
|
||||
'SQL compilation error',
|
||||
],
|
||||
],
|
||||
totalRows: 2,
|
||||
},
|
||||
]);
|
||||
const reader = new SnowflakeHistoricSqlQueryHistoryReader();
|
||||
|
||||
const rows = [];
|
||||
for await (const row of reader.fetch(
|
||||
client,
|
||||
{
|
||||
start: new Date('2026-05-01T00:00:00.000Z'),
|
||||
end: new Date('2026-05-04T12:00:00.000Z'),
|
||||
},
|
||||
'2026-05-03T00:00:00.000Z',
|
||||
)) {
|
||||
rows.push(row);
|
||||
}
|
||||
|
||||
expect(client.executeQuery).toHaveBeenCalledTimes(1);
|
||||
const sql = firstQuery(client);
|
||||
expect(sql).toContain('FROM SNOWFLAKE.ACCOUNT_USAGE.QUERY_HISTORY');
|
||||
expect(sql).toContain("START_TIME >= '2026-05-03T00:00:00.000Z'::TIMESTAMP_TZ");
|
||||
expect(sql).toContain("START_TIME < '2026-05-04T12:00:00.000Z'::TIMESTAMP_TZ");
|
||||
expect(sql).toContain('ORDER BY START_TIME ASC, QUERY_ID ASC');
|
||||
expect(sql).toContain('ROWS_PRODUCED');
|
||||
|
||||
expect(rows).toEqual([
|
||||
{
|
||||
id: '01a',
|
||||
sql: "SELECT count(*) FROM ANALYTICS.ORDERS WHERE STATUS = 'paid'",
|
||||
user: 'ANALYST_A',
|
||||
startedAt: '2026-05-04T10:00:00.000Z',
|
||||
endedAt: '2026-05-04T10:00:01.250Z',
|
||||
runtimeMs: 1250,
|
||||
rowsProduced: 12,
|
||||
success: true,
|
||||
errorMessage: null,
|
||||
},
|
||||
{
|
||||
id: '01b',
|
||||
sql: 'SELECT * FROM MISSING_TABLE',
|
||||
user: 'ANALYST_B',
|
||||
startedAt: '2026-05-04T10:05:00.000Z',
|
||||
endedAt: null,
|
||||
runtimeMs: null,
|
||||
rowsProduced: null,
|
||||
success: false,
|
||||
errorMessage: '002003: SQL compilation error',
|
||||
},
|
||||
]);
|
||||
});
|
||||
|
||||
it('uses the window start when no cursor is available', async () => {
|
||||
const client = queryClient([{ headers: ['QUERY_ID'], rows: [], totalRows: 0 }]);
|
||||
const reader = new SnowflakeHistoricSqlQueryHistoryReader();
|
||||
|
||||
for await (const _row of reader.fetch(client, {
|
||||
start: new Date('2026-02-03T12:00:00.000Z'),
|
||||
end: new Date('2026-05-04T12:00:00.000Z'),
|
||||
})) {
|
||||
throw new Error('empty result should not yield rows');
|
||||
}
|
||||
|
||||
const sql = firstQuery(client);
|
||||
expect(sql).toContain("START_TIME >= '2026-02-03T12:00:00.000Z'::TIMESTAMP_TZ");
|
||||
});
|
||||
|
||||
it('fetches aggregated Snowflake query templates', async () => {
|
||||
const client = queryClient([
|
||||
{
|
||||
|
|
@ -247,7 +128,19 @@ describe('SnowflakeHistoricSqlQueryHistoryReader', () => {
|
|||
const reader = new SnowflakeHistoricSqlQueryHistoryReader();
|
||||
|
||||
await expect(async () => {
|
||||
for await (const _row of reader.fetch({}, { start: new Date(), end: new Date() })) {
|
||||
for await (const _row of reader.fetchAggregated(
|
||||
{},
|
||||
{ start: new Date(), end: new Date() },
|
||||
{
|
||||
dialect: 'snowflake',
|
||||
minExecutions: 5,
|
||||
windowDays: 90,
|
||||
concurrency: 12,
|
||||
filters: { dropTrivialProbes: true },
|
||||
redactionPatterns: [],
|
||||
staleArchiveAfterDays: 90,
|
||||
},
|
||||
)) {
|
||||
throw new Error('unreachable');
|
||||
}
|
||||
}).rejects.toThrow('Historic SQL Snowflake reader requires a query client with executeQuery(query)');
|
||||
|
|
|
|||
|
|
@ -2,8 +2,6 @@ import { HistoricSqlGrantsMissingError } from './errors.js';
|
|||
import {
|
||||
aggregatedTemplateSchema,
|
||||
type AggregatedTemplate,
|
||||
type HistoricSqlQueryHistoryReader,
|
||||
type HistoricSqlRawQueryRow,
|
||||
type HistoricSqlTimeWindow,
|
||||
type HistoricSqlUnifiedPullConfig,
|
||||
} from './types.js';
|
||||
|
|
@ -59,32 +57,6 @@ function timestampLiteral(value: Date | string): string {
|
|||
return `'${date.toISOString().replace(/'/g, "''")}'::TIMESTAMP_TZ`;
|
||||
}
|
||||
|
||||
function queryHistorySql(window: HistoricSqlTimeWindow, cursor?: string | null): string {
|
||||
const start = timestampLiteral(cursor ?? window.start);
|
||||
const end = timestampLiteral(window.end);
|
||||
return `
|
||||
SELECT
|
||||
QUERY_ID,
|
||||
QUERY_TEXT,
|
||||
USER_NAME,
|
||||
ROLE_NAME,
|
||||
WAREHOUSE_NAME,
|
||||
DATABASE_NAME,
|
||||
SCHEMA_NAME,
|
||||
START_TIME,
|
||||
END_TIME,
|
||||
TOTAL_ELAPSED_TIME,
|
||||
ROWS_PRODUCED,
|
||||
EXECUTION_STATUS,
|
||||
ERROR_CODE,
|
||||
ERROR_MESSAGE
|
||||
FROM SNOWFLAKE.ACCOUNT_USAGE.QUERY_HISTORY
|
||||
WHERE START_TIME >= ${start}
|
||||
AND START_TIME < ${end}
|
||||
AND QUERY_TEXT IS NOT NULL
|
||||
ORDER BY START_TIME ASC, QUERY_ID ASC`.trim();
|
||||
}
|
||||
|
||||
function indexByHeader(headers: string[]): Map<string, number> {
|
||||
const out = new Map<string, number>();
|
||||
headers.forEach((header, index) => {
|
||||
|
|
@ -154,44 +126,6 @@ function isoTimestamp(raw: unknown, field: string): string {
|
|||
return date.toISOString();
|
||||
}
|
||||
|
||||
function nullableIsoTimestamp(raw: unknown): string | null {
|
||||
if (raw === null || raw === undefined || raw === '') {
|
||||
return null;
|
||||
}
|
||||
return isoTimestamp(raw, 'END_TIME');
|
||||
}
|
||||
|
||||
function executionSucceeded(status: string | null, errorCode: string | null, errorMessage: string | null): boolean {
|
||||
if (errorCode || errorMessage) {
|
||||
return false;
|
||||
}
|
||||
return status === null || status.toUpperCase().startsWith('SUCCESS');
|
||||
}
|
||||
|
||||
function combinedErrorMessage(errorCode: string | null, errorMessage: string | null): string | null {
|
||||
if (errorCode && errorMessage) {
|
||||
return `${errorCode}: ${errorMessage}`;
|
||||
}
|
||||
return errorMessage ?? errorCode;
|
||||
}
|
||||
|
||||
function mapRow(row: unknown[], indexes: Map<string, number>): HistoricSqlRawQueryRow {
|
||||
const errorCode = nullableString(value(row, indexes, 'ERROR_CODE'));
|
||||
const errorMessage = nullableString(value(row, indexes, 'ERROR_MESSAGE'));
|
||||
const rowsProduced = nullableInteger(value(row, indexes, 'ROWS_PRODUCED'));
|
||||
return {
|
||||
id: requiredString(value(row, indexes, 'QUERY_ID'), 'QUERY_ID'),
|
||||
sql: requiredString(value(row, indexes, 'QUERY_TEXT'), 'QUERY_TEXT'),
|
||||
user: nullableString(value(row, indexes, 'USER_NAME')),
|
||||
startedAt: isoTimestamp(value(row, indexes, 'START_TIME'), 'START_TIME'),
|
||||
endedAt: nullableIsoTimestamp(value(row, indexes, 'END_TIME')),
|
||||
runtimeMs: nullableNumber(value(row, indexes, 'TOTAL_ELAPSED_TIME')),
|
||||
rowsProduced,
|
||||
success: executionSucceeded(nullableString(value(row, indexes, 'EXECUTION_STATUS')), errorCode, errorMessage),
|
||||
errorMessage: combinedErrorMessage(errorCode, errorMessage),
|
||||
};
|
||||
}
|
||||
|
||||
function parseTopUsers(raw: unknown): Array<{ user: string | null; executions: number }> {
|
||||
const text = nullableString(raw);
|
||||
if (!text) {
|
||||
|
|
@ -234,7 +168,7 @@ function mapAggregatedRow(row: unknown[], indexes: Map<string, number>): Aggrega
|
|||
});
|
||||
}
|
||||
|
||||
export class SnowflakeHistoricSqlQueryHistoryReader implements HistoricSqlQueryHistoryReader {
|
||||
export class SnowflakeHistoricSqlQueryHistoryReader {
|
||||
async probe(client: unknown): Promise<void> {
|
||||
let result: QueryResultLike;
|
||||
try {
|
||||
|
|
@ -247,21 +181,6 @@ export class SnowflakeHistoricSqlQueryHistoryReader implements HistoricSqlQueryH
|
|||
}
|
||||
}
|
||||
|
||||
async *fetch(
|
||||
client: unknown,
|
||||
window: HistoricSqlTimeWindow,
|
||||
cursor?: string | null,
|
||||
): AsyncIterable<HistoricSqlRawQueryRow> {
|
||||
const result = await queryClient(client).executeQuery(queryHistorySql(window, cursor));
|
||||
if (result.error) {
|
||||
throw grantsError(result.error);
|
||||
}
|
||||
const indexes = indexByHeader(result.headers);
|
||||
for (const row of result.rows) {
|
||||
yield mapRow(row, indexes);
|
||||
}
|
||||
}
|
||||
|
||||
async *fetchAggregated(
|
||||
client: unknown,
|
||||
window: HistoricSqlTimeWindow,
|
||||
|
|
|
|||
|
|
@ -508,7 +508,7 @@ class LocalIngestToolsetFactory implements IngestToolsetFactoryPort {
|
|||
}
|
||||
|
||||
createIngestWuToolset(session: ToolSession, options?: { includeContextEvidenceTools?: boolean }): IngestToolsetLike {
|
||||
const sourceTools =
|
||||
const sourceTools: Record<string, Tool> =
|
||||
session.ingest?.sourceKey === 'historic-sql'
|
||||
? {
|
||||
emit_historic_sql_evidence: createEmitHistoricSqlEvidenceTool({
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue