[
https://issues.apache.org/jira/browse/KYLIN-4853?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17256964#comment-17256964
]
ASF GitHub Bot commented on KYLIN-4853:
---------------------------------------
codecov-io commented on pull request #1532:
URL: https://github.com/apache/kylin/pull/1532#issuecomment-752939754
# [Codecov](https://codecov.io/gh/apache/kylin/pull/1532?src=pr&el=h1) Report
> :exclamation: No coverage uploaded for pull request base
(`kylin-on-parquet-v2@32f8d66`). [Click here to learn what that
means](https://docs.codecov.io/docs/error-reference#section-missing-base-commit).
> The diff coverage is `n/a`.
[](https://codecov.io/gh/apache/kylin/pull/1532?src=pr&el=tree)
```diff
@@ Coverage Diff @@
## kylin-on-parquet-v2 #1532 +/- ##
======================================================
Coverage ? 24.31%
Complexity ? 4621
======================================================
Files ? 1138
Lines ? 64446
Branches ? 9515
======================================================
Hits ? 15672
Misses ? 47139
Partials ? 1635
```
------
[Continue to review full report at
Codecov](https://codecov.io/gh/apache/kylin/pull/1532?src=pr&el=continue).
> **Legend** - [Click here to learn
more](https://docs.codecov.io/docs/codecov-delta)
> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`
> Powered by
[Codecov](https://codecov.io/gh/apache/kylin/pull/1532?src=pr&el=footer). Last
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[32f8d66...2cf9b0b](https://codecov.io/gh/apache/kylin/pull/1532?src=pr&el=lastupdated).
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> QueryPreparedStatementCache invalid in Spark Query Engine
> ---------------------------------------------------------
>
> Key: KYLIN-4853
> URL: https://issues.apache.org/jira/browse/KYLIN-4853
> Project: Kylin
> Issue Type: Bug
> Reporter: ShengJun Zheng
> Priority: Blocker
>
> Prepare statement cache imported from KYLIN-3434 get invalid in SparkQuery
> Engine.
> In SparkQuery Engine, physical plan will be created directly from RelNode,
> which was not cached, it will cause prepared statment query fail after first
> successful query.
> Error Stack like this:
> {code:java}
> ava.sql.SQLException: exception while executing query:
> java.lang.NullPointerException
> at org.apache.calcite.avatica.Helper.createException(Helper.java:56)
> at org.apache.calcite.avatica.Helper.createException(Helper.java:41)
> at
> org.apache.calcite.avatica.AvaticaConnection.executeQueryInternal(AvaticaConnection.java:577)
> at
> org.apache.calcite.avatica.AvaticaPreparedStatement.executeQuery(AvaticaPreparedStatement.java:137)
> at
> org.apache.kylin.rest.service.QueryService.executePrepareRequest(QueryService.java:1032)
> at
> org.apache.kylin.rest.service.QueryService.queryWithSqlMassage(QueryService.java:718)
> Caused by: java.lang.RuntimeException: java.lang.NullPointerException
> at
> org.apache.kylin.query.exec.SparkExec.collectToEnumerable(SparkExec.java:46)
> at Baz.bind(Unknown Source)
> at
> org.apache.calcite.jdbc.CalcitePrepare$CalciteSignature.enumerable(CalcitePrepare.java:365)
> at
> org.apache.calcite.jdbc.CalciteConnectionImpl.enumerable(CalciteConnectionImpl.java:301)
> at
> org.apache.calcite.jdbc.CalciteMetaImpl._createIterable(CalciteMetaImpl.java:559)
> at
> org.apache.calcite.jdbc.CalciteMetaImpl.createIterable(CalciteMetaImpl.java:550)
> at
> org.apache.calcite.avatica.AvaticaResultSet.execute(AvaticaResultSet.java:182)
> at
> org.apache.calcite.jdbc.CalciteResultSet.execute(CalciteResultSet.java:67)
> at
> org.apache.calcite.jdbc.CalciteResultSet.execute(CalciteResultSet.java:44)
> at
> org.apache.calcite.avatica.AvaticaConnection.executeQueryInternal(AvaticaConnection.java:573)
> ... 84 more
> Caused by: java.lang.NullPointerException
> at
> org.apache.kylin.query.runtime.CalciteToSparkPlaner.visit(CalciteToSparkPlaner.scala:45)
> at org.apache.calcite.rel.RelVisitor.go(RelVisitor.java:61)
> at
> org.apache.kylin.query.runtime.SparkEngine.toSparkPlan(SparkEngine.java:61)
> at
> org.apache.kylin.query.runtime.SparkEngine.compute(SparkEngine.java:49)
> at
> org.apache.kylin.query.exec.QueryEngineFactory.compute(QueryEngineFactory.java:47)
> at
> org.apache.kylin.query.exec.SparkExec.collectToEnumerable(SparkExec.java:43)
> {code}
>
> I solved this by cache RelNode to avoid SQL be parsed, optimized, code gen
> again. wonder if there is better way. thanks ~
>
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