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Posted to issues@calcite.apache.org by "Puneet Jaiswal (JIRA)" <ji...@apache.org> on 2019/03/01 18:46:00 UTC
[jira] [Closed] (CALCITE-2873) Error accessing druid table with
Avatica - using prepared statement
[ https://issues.apache.org/jira/browse/CALCITE-2873?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Puneet Jaiswal closed CALCITE-2873.
-----------------------------------
Resolution: Fixed
This error was coming from Druid's SQL engine and seems to be addressed here -[https://github.com/apache/incubator-druid/pull/6974]
Closing this issue.
> Error accessing druid table with Avatica - using prepared statement
> -------------------------------------------------------------------
>
> Key: CALCITE-2873
> URL: https://issues.apache.org/jira/browse/CALCITE-2873
> Project: Calcite
> Issue Type: Bug
> Components: avatica, druid
> Affects Versions: 1.13.0, 1.12.0
> Reporter: Puneet Jaiswal
> Priority: Major
>
> Query execution works when I switch to Statement and hardcode the value assignment in query.
> I used avatica-1.13.0 and (also tried 1.12.0, got same error).
> Druid version - 0.12
>
> Code:
> {code:java}
> String sql = "SELECT __time, host FROM canarytest WHERE (host = ?)";
> PreparedStatement st = connection.prepareStatement(sql);
> st.setString(1, "i-01e588977b1b23b88");
> data = st.executeQuery();
> while (data.next()) {
> System.out.println(data.getInt("__time") + " " + data.getString("host"));
> } {code}
> Exception:
>
> {code:java}
> Exception in thread "main" org.apache.calcite.avatica.AvaticaSqlException: Error -1 (00000) : while preparing SQL: SELECT __time, host FROM canarytest WHERE (host = ?) at org.apache.calcite.avatica.Helper.createException(Helper.java:54) at org.apache.calcite.avatica.Helper.createException(Helper.java:41) at org.apache.calcite.avatica.AvaticaConnection.prepareStatement(AvaticaConnection.java:358) at org.apache.calcite.avatica.AvaticaConnection.prepareStatement(AvaticaConnection.java:175) at DruidTest.main(DruidTest.java:70) org.apache.calcite.plan.RelOptPlanner$CannotPlanException: Node [rel#1412768:Subset#2.DRUID.[]] could not be implemented; planner state: Root: rel#1412768:Subset#2.DRUID.[] Original rel: LogicalFilter(subset=[rel#1412768:Subset#2.DRUID.[]], condition=[=($1, ?0)]): rowcount = 15.0, cumulative cost = {15.0 rows, 100.0 cpu, 0.0 io}, id = 1412766 LogicalProject(subset=[rel#1412765:Subset#1.NONE.[]], __time=[$0], host=[$2]): rowcount = 100.0, cumulative cost = {100.0 rows, 200.0 cpu, 0.0 io}, id = 1412764 LogicalTableScan(subset=[rel#1412763:Subset#0.NONE.[]], table=[[druid, canarytest]]): rowcount = 100.0, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io}, id = 1412753 Sets: Set#0, type: RecordType(TIMESTAMP(3) __time, BIGINT count, VARCHAR host) rel#1412763:Subset#0.NONE.[], best=null, importance=0.7290000000000001 rel#1412753:LogicalTableScan.NONE.[](table=[druid, canarytest]), rowcount=100.0, cumulative cost={inf} rel#1412777:DruidQueryRel.NONE.[](query={"queryType":"scan","dataSource":{"type":"table","name":"canarytest"},"intervals":{"type":"intervals","intervals":["-146136543-09-08T08:23:32.096Z/146140482-04-24T15:36:27.903Z"]},"virtualColumns":[],"resultFormat":"compactedList","batchSize":20480,"limit":9223372036854775807,"filter":null,"columns":["__time","count","host"],"legacy":false,"context":{},"descending":false,"granularity":{"type":"all"}},signature={__time:LONG, count:LONG, host:STRING}), rowcount=1.0, cumulative cost={inf} rel#1412781:Subset#0.DRUID.[], best=rel#1412780, importance=0.36450000000000005 rel#1412780:DruidQueryRel.DRUID.[](query={"queryType":"scan","dataSource":{"type":"table","name":"canarytest"},"intervals":{"type":"intervals","intervals":["-146136543-09-08T08:23:32.096Z/146140482-04-24T15:36:27.903Z"]},"virtualColumns":[],"resultFormat":"compactedList","batchSize":20480,"limit":9223372036854775807,"filter":null,"columns":["__time","count","host"],"legacy":false,"context":{},"descending":false,"granularity":{"type":"all"}},signature={__time:LONG, count:LONG, host:STRING}), rowcount=1.0, cumulative cost={1.0 rows, 0.0 cpu, 0.0 io} Set#1, type: RecordType(TIMESTAMP(3) __time, VARCHAR host) rel#1412765:Subset#1.NONE.[], best=null, importance=0.81 rel#1412764:LogicalProject.NONE.[](input=rel#1412763:Subset#0.NONE.[],__time=$0,host=$2), rowcount=100.0, cumulative cost={inf} rel#1412779:DruidQueryRel.NONE.[](query={"queryType":"scan","dataSource":{"type":"table","name":"canarytest"},"intervals":{"type":"intervals","intervals":["-146136543-09-08T08:23:32.096Z/146140482-04-24T15:36:27.903Z"]},"virtualColumns":[],"resultFormat":"compactedList","batchSize":20480,"limit":9223372036854775807,"filter":null,"columns":["__time","host"],"legacy":false,"context":{},"descending":false,"granularity":{"type":"all"}},signature={__time:LONG, host:STRING}), rowcount=1.0, cumulative cost={inf} rel#1412784:Subset#1.DRUID.[], best=rel#1412783, importance=0.405 rel#1412783:DruidQueryRel.DRUID.[](query={"queryType":"scan","dataSource":{"type":"table","name":"canarytest"},"intervals":{"type":"intervals","intervals":["-146136543-09-08T08:23:32.096Z/146140482-04-24T15:36:27.903Z"]},"virtualColumns":[],"resultFormat":"compactedList","batchSize":20480,"limit":9223372036854775807,"filter":null,"columns":["__time","host"],"legacy":false,"context":{},"descending":false,"granularity":{"type":"all"}},signature={__time:LONG, host:STRING}), rowcount=1.0, cumulative cost={1.002 rows, 0.0 cpu, 0.0 io} Set#2, type: RecordType(TIMESTAMP(3) __time, VARCHAR host) rel#1412767:Subset#2.NONE.[], best=null, importance=0.9 rel#1412766:LogicalFilter.NONE.[](input=rel#1412765:Subset#1.NONE.[],condition==($1, ?0)), rowcount=15.0, cumulative cost={inf} rel#1412773:LogicalProject.NONE.[](input=rel#1412772:Subset#3.NONE.[],__time=$0,host=$2), rowcount=15.0, cumulative cost={inf} rel#1412768:Subset#2.DRUID.[], best=null, importance=1.0 rel#1412769:AbstractConverter.DRUID.[](input=rel#1412767:Subset#2.NONE.[],convention=DRUID,sort=[]), rowcount=15.0, cumulative cost={inf} Set#3, type: RecordType(TIMESTAMP(3) __time, BIGINT count, VARCHAR host) rel#1412772:Subset#3.NONE.[], best=null, importance=0.81 rel#1412770:LogicalFilter.NONE.[](input=rel#1412763:Subset#0.NONE.[],condition==($2, ?0)), rowcount=15.0, cumulative cost={inf} at org.apache.calcite.plan.volcano.RelSubset$CheapestPlanReplacer.visit(RelSubset.java:437) at org.apache.calcite.plan.volcano.RelSubset.buildCheapestPlan(RelSubset.java:296) at org.apache.calcite.plan.volcano.VolcanoPlanner.findBestExp(VolcanoPlanner.java:662) at org.apache.calcite.tools.Programs$RuleSetProgram.run(Programs.java:339) at org.apache.calcite.tools.Programs$SequenceProgram.run(Programs.java:358) at org.apache.calcite.prepare.PlannerImpl.transform(PlannerImpl.java:337) at org.apache.druid.sql.calcite.planner.DruidPlanner.planWithDruidConvention(DruidPlanner.java:160) at org.apache.druid.sql.calcite.planner.DruidPlanner.plan(DruidPlanner.java:128) at org.apache.druid.sql.calcite.planner.DruidPlanner.plan(DruidPlanner.java:105) at org.apache.druid.sql.avatica.DruidStatement.prepare(DruidStatement.java:165) at org.apache.druid.sql.avatica.DruidMeta.prepare(DruidMeta.java:155) at org.apache.calcite.avatica.remote.LocalService.apply(LocalService.java:195) at org.apache.calcite.avatica.remote.Service$PrepareRequest.accept(Service.java:1216) at org.apache.calcite.avatica.remote.Service$PrepareRequest.accept(Service.java:1187) at org.apache.calcite.avatica.remote.AbstractHandler.apply(AbstractHandler.java:94) at org.apache.calcite.avatica.remote.JsonHandler.apply(JsonHandler.java:52) at org.apache.calcite.avatica.server.AvaticaJsonHandler.handle(AvaticaJsonHandler.java:130) at org.apache.druid.sql.avatica.DruidAvaticaHandler.handle(DruidAvaticaHandler.java:59) at org.eclipse.jetty.server.handler.HandlerList.handle(HandlerList.java:61) at org.eclipse.jetty.server.handler.StatisticsHandler.handle(StatisticsHandler.java:169) at org.eclipse.jetty.server.handler.HandlerWrapper.handle(HandlerWrapper.java:132) at org.eclipse.jetty.server.Server.handle(Server.java:531) at org.eclipse.jetty.server.HttpChannel.handle(HttpChannel.java:352) at org.eclipse.jetty.server.HttpConnection.onFillable(HttpConnection.java:260) at org.eclipse.jetty.io.AbstractConnection$ReadCallback.succeeded(AbstractConnection.java:281) at org.eclipse.jetty.io.FillInterest.fillable(FillInterest.java:102) at org.eclipse.jetty.io.ChannelEndPoint$2.run(ChannelEndPoint.java:118) at org.eclipse.jetty.util.thread.strategy.EatWhatYouKill.runTask(EatWhatYouKill.java:333) at org.eclipse.jetty.util.thread.strategy.EatWhatYouKill.doProduce(EatWhatYouKill.java:310) at org.eclipse.jetty.util.thread.strategy.EatWhatYouKill.tryProduce(EatWhatYouKill.java:168) at org.eclipse.jetty.util.thread.strategy.EatWhatYouKill.run(EatWhatYouKill.java:126) at org.eclipse.jetty.util.thread.ReservedThreadExecutor$ReservedThread.run(ReservedThreadExecutor.java:366) at org.eclipse.jetty.util.thread.QueuedThreadPool.runJob(QueuedThreadPool.java:760) at org.eclipse.jetty.util.thread.QueuedThreadPool$2.run(QueuedThreadPool.java:678) at java.lang.Thread.run(Thread.java:748) Suppressed: org.apache.calcite.plan.RelOptPlanner$CannotPlanException: Node [rel#1412797:Subset#6.BINDABLE.[]] could not be implemented; planner state: Root: rel#1412797:Subset#6.BINDABLE.[] Original rel: LogicalFilter(subset=[rel#1412797:Subset#6.BINDABLE.[]], condition=[=($1, ?0)]): rowcount = 15.0, cumulative cost = {15.0 rows, 100.0 cpu, 0.0 io}, id = 1412795 LogicalProject(subset=[rel#1412794:Subset#5.NONE.[]], __time=[$0], host=[$2]): rowcount = 100.0, cumulative cost = {100.0 rows, 200.0 cpu, 0.0 io}, id = 1412793 LogicalTableScan(subset=[rel#1412792:Subset#4.NONE.[]], table=[[druid, canarytest]]): rowcount = 100.0, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io}, id = 1412753 Sets: Set#4, type: RecordType(TIMESTAMP(3) __time, BIGINT count, VARCHAR host) rel#1412792:Subset#4.NONE.[], best=null, importance=0.7290000000000001 rel#1412753:LogicalTableScan.NONE.[](table=[druid, canarytest]), rowcount=100.0, cumulative cost={inf} rel#1412813:DruidQueryRel.NONE.[](query={"queryType":"scan","dataSource":{"type":"table","name":"canarytest"},"intervals":{"type":"intervals","intervals":["-146136543-09-08T08:23:32.096Z/146140482-04-24T15:36:27.903Z"]},"virtualColumns":[],"resultFormat":"compactedList","batchSize":20480,"limit":9223372036854775807,"filter":null,"columns":["__time","count","host"],"legacy":false,"context":{},"descending":false,"granularity":{"type":"all"}},signature={__time:LONG, count:LONG, host:STRING}), rowcount=1.0, cumulative cost={inf} rel#1412827:Subset#4.BINDABLE.[], best=null, importance=0.81 rel#1412826:InterpretableConverter.BINDABLE.[](input=rel#1412792:Subset#4.NONE.[]), rowcount=100.0, cumulative cost={inf} Set#5, type: RecordType(TIMESTAMP(3) __time, VARCHAR host) rel#1412794:Subset#5.NONE.[], best=null, importance=0.81 rel#1412793:LogicalProject.NONE.[](input=rel#1412792:Subset#4.NONE.[],__time=$0,host=$2), rowcount=100.0, cumulative cost={inf} rel#1412814:DruidQueryRel.NONE.[](query={"queryType":"scan","dataSource":{"type":"table","name":"canarytest"},"intervals":{"type":"intervals","intervals":["-146136543-09-08T08:23:32.096Z/146140482-04-24T15:36:27.903Z"]},"virtualColumns":[],"resultFormat":"compactedList","batchSize":20480,"limit":9223372036854775807,"filter":null,"columns":["__time","host"],"legacy":false,"context":{},"descending":false,"granularity":{"type":"all"}},signature={__time:LONG, host:STRING}), rowcount=1.0, cumulative cost={inf} rel#1412817:Subset#5.BINDABLE.[], best=null, importance=0.9 rel#1412821:InterpretableConverter.BINDABLE.[](input=rel#1412794:Subset#5.NONE.[]), rowcount=100.0, cumulative cost={inf} rel#1412830:BindableProject.BINDABLE.[](input=rel#1412827:Subset#4.BINDABLE.[],__time=$0,host=$2), rowcount=100.0, cumulative cost={inf} Set#6, type: RecordType(TIMESTAMP(3) __time, VARCHAR host) rel#1412796:Subset#6.NONE.[], best=null, importance=0.9 rel#1412795:LogicalFilter.NONE.[](input=rel#1412794:Subset#5.NONE.[],condition==($1, ?0)), rowcount=15.0, cumulative cost={inf} rel#1412803:LogicalProject.NONE.[](input=rel#1412802:Subset#7.NONE.[],__time=$0,host=$2), rowcount=15.0, cumulative cost={inf} rel#1412797:Subset#6.BINDABLE.[], best=null, importance=1.0 rel#1412798:AbstractConverter.BINDABLE.[](input=rel#1412796:Subset#6.NONE.[],convention=BINDABLE,sort=[]), rowcount=15.0, cumulative cost={inf} rel#1412799:InterpretableConverter.BINDABLE.[](input=rel#1412796:Subset#6.NONE.[]), rowcount=15.0, cumulative cost={inf} rel#1412812:BindableProject.BINDABLE.[](input=rel#1412811:Subset#7.BINDABLE.[],__time=$0,host=$2), rowcount=15.0, cumulative cost={inf} rel#1412818:BindableFilter.BINDABLE.[[]](input=rel#1412817:Subset#5.BINDABLE.[],condition==($1, ?0)), rowcount=15.0, cumulative cost={inf} Set#7, type: RecordType(TIMESTAMP(3) __time, BIGINT count, VARCHAR host) rel#1412802:Subset#7.NONE.[], best=null, importance=0.81 rel#1412800:LogicalFilter.NONE.[](input=rel#1412792:Subset#4.NONE.[],condition==($2, ?0)), rowcount=15.0, cumulative cost={inf} rel#1412811:Subset#7.BINDABLE.[], best=null, importance=0.9 rel#1412816:InterpretableConverter.BINDABLE.[](input=rel#1412802:Subset#7.NONE.[]), rowcount=15.0, cumulative cost={inf} rel#1412831:BindableFilter.BINDABLE.[[]](input=rel#1412827:Subset#4.BINDABLE.[],condition==($2, ?0)), rowcount=15.0, cumulative cost={inf} at org.apache.calcite.plan.volcano.RelSubset$CheapestPlanReplacer.visit(RelSubset.java:437) at org.apache.calcite.plan.volcano.RelSubset.buildCheapestPlan(RelSubset.java:296) at org.apache.calcite.plan.volcano.VolcanoPlanner.findBestExp(VolcanoPlanner.java:662) at org.apache.calcite.tools.Programs$RuleSetProgram.run(Programs.java:339) at org.apache.calcite.tools.Programs$SequenceProgram.run(Programs.java:358) at org.apache.calcite.prepare.PlannerImpl.transform(PlannerImpl.java:337) at org.apache.druid.sql.calcite.planner.DruidPlanner.planWithBindableConvention(DruidPlanner.java:281) at org.apache.druid.sql.calcite.planner.DruidPlanner.plan(DruidPlanner.java:133) ... 27 more{code}
>
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