[SPARK-36404][SQL] Support ORC nested column vectorized reader for data source v2 #33626
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c21
commented
Aug 3, 2021
| withSQLConf(SQLConf.ORC_VECTORIZED_READER_NESTED_COLUMN_ENABLED.key -> "true") { | ||
| val readDf = spark.read.orc(path) | ||
| val vectorizationEnabled = readDf.queryExecution.executedPlan.find { | ||
| case scan @ (_: FileSourceScanExec | _: BatchScanExec) => scan.supportsColumnar |
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Added BatchScanExec here for DS v2 compared to the original test in OrcSourceSuite.scala. Moved the query as we can test DS v1 and v2 here via OrcV1QuerySuite and OrcV2QuerySuite defined below.
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Kubernetes integration test starting |
HyukjinKwon
approved these changes
Aug 4, 2021
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Kubernetes integration test status success |
dongjoon-hyun
approved these changes
Aug 4, 2021
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dongjoon-hyun
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+1, LGTM. Thank you, @c21 and @HyukjinKwon .
Merged to master
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Thank you @HyukjinKwon and @dongjoon-hyun for review! |
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Test build #142008 has finished for PR 33626 at commit
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What changes were proposed in this pull request?
We added support of nested columns in ORC vectorized reader for data source v1. Data source v2 and v1 both use same underlying implementation for vectorized reader (OrcColumnVector), so we can support data source v2 as well.
Why are the changes needed?
Improve query performance for ORC data source v2 when reading nested columns.
Does this PR introduce any user-facing change?
No.
How was this patch tested?
Added test in
OrcQuerySuite.scala.