[
https://issues.apache.org/jira/browse/HIVE-20523?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16629401#comment-16629401
]
Hive QA commented on HIVE-20523:
--------------------------------
Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12941348/HIVE-20523.5.patch
{color:green}SUCCESS:{color} +1 due to 2 test(s) being added or modified.
{color:red}ERROR:{color} -1 due to 22 failed/errored test(s), 14999 tests
executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[nested_column_pruning]
(batchId=36)
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[parquet_analyze]
(batchId=24)
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[parquet_complex_types_vectorization]
(batchId=77)
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[parquet_join]
(batchId=21)
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[parquet_map_type_vectorization]
(batchId=90)
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[parquet_no_row_serde]
(batchId=74)
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[parquet_struct_type_vectorization]
(batchId=28)
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[parquet_types_non_dictionary_encoding_vectorization]
(batchId=91)
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[parquet_types_vectorization]
(batchId=15)
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[parquet_vectorization_decimal_date]
(batchId=32)
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[parquet_vectorization_part_project]
(batchId=37)
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[vectorization_numeric_overflows]
(batchId=73)
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[vectorization_parquet_projection]
(batchId=46)
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[vectorized_parquet_types]
(batchId=71)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[vector_partitioned_date_time]
(batchId=179)
org.apache.hadoop.hive.cli.TestMiniSparkOnYarnCliDriver.testCliDriver[spark_dynamic_partition_pruning]
(batchId=188)
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver[parquet_join]
(batchId=119)
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver[parquet_vectorization_decimal_date]
(batchId=124)
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver[parquet_vectorization_part_project]
(batchId=126)
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver[vectorization_input_format_excludes]
(batchId=131)
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver[vectorization_parquet_projection]
(batchId=130)
org.apache.hadoop.hive.metastore.TestHiveMetaStoreSchemaMethods.schemaQuery
(batchId=228)
{noformat}
Test results:
https://builds.apache.org/job/PreCommit-HIVE-Build/14064/testReport
Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/14064/console
Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-14064/
Messages:
{noformat}
Executing org.apache.hive.ptest.execution.TestCheckPhase
Executing org.apache.hive.ptest.execution.PrepPhase
Executing org.apache.hive.ptest.execution.YetusPhase
Executing org.apache.hive.ptest.execution.ExecutionPhase
Executing org.apache.hive.ptest.execution.ReportingPhase
Tests exited with: TestsFailedException: 22 tests failed
{noformat}
This message is automatically generated.
ATTACHMENT ID: 12941348 - PreCommit-HIVE-Build
> Improve table statistics for Parquet format
> -------------------------------------------
>
> Key: HIVE-20523
> URL: https://issues.apache.org/jira/browse/HIVE-20523
> Project: Hive
> Issue Type: Improvement
> Components: Physical Optimizer
> Reporter: George Pachitariu
> Assignee: George Pachitariu
> Priority: Minor
> Attachments: HIVE-20523.1.patch, HIVE-20523.2.patch,
> HIVE-20523.3.patch, HIVE-20523.4.patch, HIVE-20523.5.patch, HIVE-20523.patch
>
>
> Right now, in the table basic statistics, the *raw data size* for a row with
> any data type in the Parquet format is 1. This is an underestimated value
> when columns are complex data structures, like arrays.
> Having tables with underestimated raw data size makes Hive assign less
> containers (mappers/reducers) to it, making the overall query slower.
> Heavy underestimation also makes Hive choose MapJoin instead of the
> ShuffleJoin that can fail with OOM errors.
> In this patch, I compute the columns data size better, taking into account
> complex structures. I followed the Writer implementation for the ORC format.
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