Hi Fabian,
No, I did not add any optimization rules.
I have created two JIRAs about this issue, because when I modify the
SQL a little, the error turns to StackOverflowError then:
https://issues.apache.org/jira/browse/FLINK-12097
<https://issues.apache.org/jira/browse/FLINK-12097>
https://issues.apache.org/jira/browse/FLINK-12109
<https://issues.apache.org/jira/browse/FLINK-12109>
The SQL is quite long(about 2000 lines), and some of them are written
by the DSL my defined, but most of them are same to Flink SQL, so I put it in
the JIRA attachment.
Kindly check about it, thanks a lot.
Best,
Henry
> 在 2019年4月8日，下午6:25，Fabian Hueske <fhue...@gmail.com> 写道：
>
> Hi Henry,
>
> It seem that the optimizer is not handling this case well.
> The search space might be too large (or rather the optimizer explores too
> much of the search space).
> Can you share the query? Did you add any optimization rules?
>
> Best, Fabian
>
> Am Mi., 3. Apr. 2019 um 12:36 Uhr schrieb 徐涛 <happydexu...@gmail.com
> <mailto:happydexu...@gmail.com>>:
> Hi Experts,
> There is a Flink application(Version 1.7.2) which is written in Flink
> SQL, and the SQL in the application is quite long, consists of about 10
> tables, 1500 lines in total. When executing, I found it is hanged in
> StreamTableEnvironment.sqlUpdate, keep executing some code about calcite and
> the memory usage keeps grown up, after several minutes
> java.lang.OutOfMemoryError: GC overhead limit exceeded is got.
>
> I get some thread dumps:
> at
> org.apache.calcite.plan.volcano.RuleQueue.popMatch(RuleQueue.java:475)
> at
> org.apache.calcite.plan.volcano.VolcanoPlanner.findBestExp(VolcanoPlanner.java:640)
> at
> org.apache.calcite.tools.Programs$RuleSetProgram.run(Programs.java:339)
> at
> org.apache.flink.table.api.TableEnvironment.runVolcanoPlanner(TableEnvironment.scala:373)
> at
> org.apache.flink.table.api.TableEnvironment.optimizeLogicalPlan(TableEnvironment.scala:292)
> at
> org.apache.flink.table.api.StreamTableEnvironment.optimize(StreamTableEnvironment.scala:812)
> at
> org.apache.flink.table.api.StreamTableEnvironment.translate(StreamTableEnvironment.scala:860)
> at
> org.apache.flink.table.api.StreamTableEnvironment.writeToSink(StreamTableEnvironment.scala:344)
> at
> org.apache.flink.table.api.TableEnvironment.insertInto(TableEnvironment.scala:879)
> at
> org.apache.flink.table.api.TableEnvironment.sqlUpdate(TableEnvironment.scala:817)
> at
> org.apache.flink.table.api.TableEnvironment.sqlUpdate(TableEnvironment.scala:777)
>
>
>
> at java.io.PrintWriter.write(PrintWriter.java:473)
> at
> org.apache.calcite.rel.AbstractRelNode$1.explain_(AbstractRelNode.java:415)
> at
> org.apache.calcite.rel.externalize.RelWriterImpl.done(RelWriterImpl.java:156)
> at
> org.apache.calcite.rel.AbstractRelNode.explain(AbstractRelNode.java:312)
> at
> org.apache.calcite.rel.AbstractRelNode.computeDigest(AbstractRelNode.java:420)
> at
> org.apache.calcite.rel.AbstractRelNode.recomputeDigest(AbstractRelNode.java:356)
> at
> org.apache.calcite.rel.AbstractRelNode.onRegister(AbstractRelNode.java:350)
> at
> org.apache.calcite.plan.volcano.VolcanoPlanner.registerImpl(VolcanoPlanner.java:1484)
> at
> org.apache.calcite.plan.volcano.VolcanoPlanner.register(VolcanoPlanner.java:859)
> at
> org.apache.calcite.plan.volcano.VolcanoPlanner.ensureRegistered(VolcanoPlanner.java:879)
> at
> org.apache.calcite.plan.volcano.VolcanoPlanner.ensureRegistered(VolcanoPlanner.java:1755)
> at
> org.apache.calcite.plan.volcano.VolcanoRuleCall.transformTo(VolcanoRuleCall.java:135)
> at
> org.apache.calcite.plan.RelOptRuleCall.transformTo(RelOptRuleCall.java:234)
> at
> org.apache.calcite.rel.convert.ConverterRule.onMatch(ConverterRule.java:141)
> at
> org.apache.calcite.plan.volcano.VolcanoRuleCall.onMatch(VolcanoRuleCall.java:212)
> at
> org.apache.calcite.plan.volcano.VolcanoPlanner.findBestExp(VolcanoPlanner.java:646)
> at
> org.apache.calcite.tools.Programs$RuleSetProgram.run(Programs.java:339)
> at
> org.apache.flink.table.api.TableEnvironment.runVolcanoPlanner(TableEnvironment.scala:373)
> at
> org.apache.flink.table.api.TableEnvironment.optimizeLogicalPlan(TableEnvironment.scala:292)
> at
> org.apache.flink.table.api.StreamTableEnvironment.optimize(StreamTableEnvironment.scala:812)
> at
> org.apache.flink.table.api.StreamTableEnvironment.translate(StreamTableEnvironment.scala:860)
> at
> org.apache.flink.table.api.StreamTableEnvironment.writeToSink(StreamTableEnvironment.scala:344)
> at
> org.apache.flink.table.api.TableEnvironment.insertInto(TableEnvironment.scala:879)
> at
> org.apache.flink.table.api.TableEnvironment.sqlUpdate(TableEnvironment.scala:817)
> at
> org.apache.flink.table.api.TableEnvironment.sqlUpdate(TableEnvironment.scala:777)
> Both point to some code about calcite.
>
> And also I get the heap dump, found that there are 5703373 RexCall
> instances, and 5909525 String instances, 5909692 char[] instances ,size is
> 6.8G. I wonder why there are so many RexCall instances here, why it keeps on
> executing some calcite code and seems never stop.
> char[]
> 5,909,692 (16.4%) 6,873,430,938 (84.3%)
> java.lang.String
> 5,909,525 (16.4%) 165,466,700 (2%)
> org.apache.calcite.rex.RexLocalRef
> 5,901,313 (16.4%) 259,657,772 (3.2%)
>
> org.apache.flink.calcite.shaded.com.google.common.collect.RegularImmutableList
>
> 5,739,479 (15.9%) 229,579,160 (2.8%)
> java.lang.Object[]
> 5,732,702 (15.9%) 279,902,336 (3.4%)
> org.apache.calcite.rex.RexCall
> 5,703,373 (15.8%) 273,761,904 (3.4%)
>
> Look forward to your reply.
> Thanks a lot.
>
>
> Best
> Henry
