Spark multiversion support #1325
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added 17 commits
October 22, 2018 15:41
remaining build failures = 34 with Spark 2.3.x (was > 200 originally)
- product will always use compatible Spark version but connector can use a different one - added couple of sub-projects (core-product and aqp-product) that will always use the compatible version while connector build can use a different one - cluster will depend on normal build if connector version is same else it will use core-product
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@sumwale - I was looking into this code base and trying to make a build for spark 2.3.2. |
some build and runtime fixes
made CREATE FUNCTION to be consistent with Spark
- add search and explicit cleanup of broadcast exchanges at the end of query execution (else they would only be cleared with GC collects the reference) - corrected GUI plan timings and cleanup the END message to deliver it reliably and not leave dangling SQL tasks running forever in some cases. - other test changes for Spark 2.4.5 to fix failures and
… Decimal handling in prepared statements
- fix code generation issue seen in TPCH Q20 - correct SD's SQL listener to link any jobs during planning and execution phase of a query correctly (reintroduced SparkListenerSQLPlanExecutionStart/End and handle SparkListenerSQLExecutionStart to search for any existing execution from SparkListenerSQLPlanExecutionStart then mark it as active instead of creating new one)
also fix few dunit test failures in ColumnBatchAndExternalTableDUnitTest
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Changes proposed in this pull request
changed between 2.1 to 2.4 with implementations for 2.1.0/2.1.1/2.3.2
Spark version
Patch testing
precheckin
ReleaseNotes.txt changes
Documentation for multiple spark version support in smart connector mode
Other PRs
TIBCOSoftware/snappy-store#478
https://github.com/SnappyDataInc/snappy-aqp/pull/187