Comments (3)
https://github.com/trinodb/trino/actions/runs/8489328059/job/23259301903?pr=21330
Error: io.trino.faulttolerant.hive.TestHiveRuntimeAdaptivePartitioningFaultTolerantExecutionJoinQueries.testSemiJoin -- Time elapsed: 14.14 s <<< FAILURE!
java.lang.AssertionError:
Execution of 'actual' query 20240330_075443_00062_udb2m failed: SELECT *, o2.custkey
IN (
SELECT orderkey
FROM lineitem
WHERE orderkey % 5 = 0)
FROM (SELECT * FROM orders WHERE custkey % 256 = 0) o1
JOIN (SELECT * FROM orders WHERE custkey % 256 = 0) o2
ON (o1.orderkey IN (SELECT orderkey FROM lineitem WHERE orderkey % 4 = 0)) = (o2.orderkey IN (SELECT orderkey FROM lineitem WHERE orderkey % 4 = 0))
WHERE o1.orderkey
IN (
SELECT orderkey
FROM lineitem
WHERE orderkey % 4 = 0)
ORDER BY o1.orderkey
IN (
SELECT orderkey
FROM lineitem
WHERE orderkey % 7 = 0)
at io.trino.testing.QueryAssertions.assertDistributedQuery(QueryAssertions.java:299)
at io.trino.testing.QueryAssertions.assertQuery(QueryAssertions.java:187)
at io.trino.testing.QueryAssertions.assertQuery(QueryAssertions.java:160)
at io.trino.testing.AbstractTestQueryFramework.assertQuery(AbstractTestQueryFramework.java:345)
at io.trino.testing.AbstractTestQueryFramework.assertQuery(AbstractTestQueryFramework.java:340)
at io.trino.testing.AbstractTestJoinQueries.testSemiJoin(AbstractTestJoinQueries.java:1[763](https://github.com/trinodb/trino/actions/runs/8489328059/job/23259301903?pr=21330#step:5:764))
at java.base/java.lang.reflect.Method.invoke(Method.java:580)
at java.base/java.util.concurrent.RecursiveAction.exec(RecursiveAction.java:194)
at java.base/java.util.concurrent.ForkJoinTask.doExec(ForkJoinTask.java:507)
at java.base/java.util.concurrent.ForkJoinPool$WorkQueue.tryRemoveAndExec(ForkJoinPool.java:1534)
at java.base/java.util.concurrent.ForkJoinPool.helpJoin(ForkJoinPool.java:2269)
at java.base/java.util.concurrent.ForkJoinTask.awaitDone(ForkJoinTask.java:495)
at java.base/java.util.concurrent.ForkJoinTask.join(ForkJoinTask.java:662)
at java.base/java.util.concurrent.RecursiveAction.exec(RecursiveAction.java:194)
at java.base/java.util.concurrent.ForkJoinTask.doExec(ForkJoinTask.java:507)
at java.base/java.util.concurrent.ForkJoinPool$WorkQueue.topLevelExec(ForkJoinPool.java:1491)
at java.base/java.util.concurrent.ForkJoinPool.scan(ForkJoinPool.java:2073)
at java.base/java.util.concurrent.ForkJoinPool.runWorker(ForkJoinPool.java:2035)
at java.base/java.util.concurrent.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:187)
Caused by: io.trino.testing.QueryFailedException: Number of stages in the query (152) exceeds the allowed maximum (150). If the query contains multiple aggregates with DISTINCT over different columns, please set the 'mark_distinct_strategy' session property to 'none'. If the query contains WITH clauses that are referenced more than once, please create temporary table(s) for the queries in those clauses.
from trino.
Should be fixed with #21318.
@gaurav8297 plase confirm and close
from trino.
Yes, it should be fixed with this change: #21318
from trino.
Related Issues (20)
- Add new table handle interface to expose common datalake-type info HOT 4
- PreparedStatement dont support java.sql.Statement.NO_GENERATED_KEYS option HOT 1
- Verify checksum when reading deletion vectors in Delta Lake connector
- Add support for creating tables with deletion vector in Delta Lake connector
- Reading Delta Lake tables with icebergCompatV1(2) writer features fails
- Subquery cache roadmap HOT 3
- Prune casted partition columns
- Order split scheduling between stages for common subqueries
- Implement cache prioritization
- Add ttl for cached data
- Normalize conjunct order in CanonicalSubplanExtractor HOT 2
- Add support for (partial) Limit operator to subquery cache
- Add support for Join operator to subquery cache
- [Feature Request] Support "Single Row Mode" similar to PostgreSQL HOT 4
- Flaky TestIcebergMinioOrcConnectorTest>BaseIcebergConnectorTest.testOptimizeTimePartitionedTable HOT 3
- Add flush_metadata_cache procedure to BigQuery connector
- When Trino uses Iceberg and HDFS, the metadata of Iceberg will be concentrated on the HDFS node where the Trino master is located, causing an excessive number of files on that node.
- Improvement of task doc HOT 2
- Where clause doesn't work with column masking (with Ranger)
- Query Clickhouse is pretty slow HOT 1
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from trino.