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[SPARK-23426][SQL] Use hive ORC impl and disable PPD for Spark 2.3.0
#20610
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@@ -399,11 +399,11 @@ object SQLConf { | |
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| val ORC_IMPLEMENTATION = buildConf("spark.sql.orc.impl") | ||
| .doc("When native, use the native version of ORC support instead of the ORC library in Hive " + | ||
| "1.2.1. It is 'hive' by default prior to Spark 2.3.") | ||
| "1.2.1. It is 'hive' by default.") | ||
| .internal() | ||
| .stringConf | ||
| .checkValues(Set("hive", "native")) | ||
| .createWithDefault("native") | ||
| .createWithDefault("hive") | ||
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Member
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. We also need to disable the ORC pushdown, because the ORC reader of Hive 1.2.1 has a few bugs.
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Author
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. BTW, we don't have a test case for that, do we? Actually, I want to have a test case for that. |
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| val ORC_VECTORIZED_READER_ENABLED = buildConf("spark.sql.orc.enableVectorizedReader") | ||
| .doc("Enables vectorized orc decoding.") | ||
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We do not need this in the migration guide. Please create a new section for ORC
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Yep.
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Is there a reason the
implwas changed back to the old implementation? this breaksspark.read.orc