Hi Henry,
Maybe the number of elements in your IN clause is out of range? Its default
value is 20, you can modify it with this configuration item:
*withInSubQueryThreshold(XXX)*
This API comes from Calcite.
Thanks, vino.
徐涛 <happydexu...@gmail.com> 于2018年9月28日周五 下午4:23写道：
> Hi,
>
> When I am executing the following SQL in flink 1.6.1, some error throws
> out saying that it has a support issue, but when I reduce the number of
> integers in the “in” sentence, for example,
>
> trackId in (124427150,71648998) , Flink does not complain anything, so I
> wonder is there any length limit in “in” operation?
>
> Thanks a lot.
>
> SELECT
> trackId as id,track_title as description, count(*) as cnt
> FROM
> play
> WHERE
> appName='play.statistics.trace' and
> trackId in
> (124427150,71648998,124493327,524043,27300837,30300481,27300809,124744768,45982512,124526566,124556427,124804208,74302264,119588973,30496269,27300288,124098818,125071530,120918746,124171456,30413034,124888075,125270551,125434224,27300195,45982342,45982468,45982355,65349883,124705962,65349905,124298305,124889583,45982338,20506255,18556415,122161128,27299018,122850375,124862362,45982336,59613202,122991190,124590280,124867563,45982332,124515944,20506257,122572115,92083574)
> GROUP BY
> HOP(started_at_ts, INTERVAL '5' SECOND, INTERVAL '5'
> MINUTE),trackId,track_title;
>
>
>
> FlinkLogicalWindowAggregate(group=[{1, 2}], cnt=[COUNT()])
> FlinkLogicalCalc(expr#0..3=[{inputs}], started_at_ts=[$t2],
> trackId=[$t0], track_title=[$t1])
> FlinkLogicalJoin(condition=[=($0, $3)], joinType=[inner])
> FlinkLogicalCalc(expr#0..4=[{inputs}],
> expr#5=[_UTF-16LE'play.statistics.trace'], expr#6=[=($t0, $t5)],
> trackId=[$t1], track_title=[$t2], started_at_ts=[$t4], $condition=[$t6])
> FlinkLogicalNativeTableScan(table=[[play]])
> FlinkLogicalValues(tuples=[[{ 124427150 }, { 71648998 }, { 124493327
> }, { 524043 }, { 27300837 }, { 30300481 }, { 27300809 }, { 124744768 }, {
> 45982512 }, { 124526566 }, { 124556427 }, { 124804208 }, { 74302264 }, {
> 119588973 }, { 30496269 }, { 27300288 }, { 124098818 }, { 125071530 }, {
> 120918746 }, { 124171456 }, { 30413034 }, { 124888075 }, { 125270551 }, {
> 125434224 }, { 27300195 }, { 45982342 }, { 45982468 }, { 45982355 }, {
> 65349883 }, { 124705962 }, { 65349905 }, { 124298305 }, { 124889583 }, {
> 45982338 }, { 20506255 }, { 18556415 }, { 122161128 }, { 27299018 }, {
> 122850375 }, { 124862362 }, { 45982336 }, { 59613202 }, { 122991190 }, {
> 124590280 }, { 124867563 }, { 45982332 }, { 124515944 }, { 20506257 }, {
> 122572115 }, { 92083574 }]])
>
> This exception indicates that the query uses an unsupported SQL feature.
> Please check the documentation for the set of currently supported SQL
> features.
> at
> org.apache.flink.table.api.TableEnvironment.runVolcanoPlanner(TableEnvironment.scala:275)
> at
> org.apache.flink.table.api.StreamTableEnvironment.optimize(StreamTableEnvironment.scala:845)
> at
> org.apache.flink.table.api.StreamTableEnvironment.translate(StreamTableEnvironment.scala:892)
> at
> org.apache.flink.table.api.StreamTableEnvironment.writeToSink(StreamTableEnvironment.scala:344)
> at
> org.apache.flink.table.api.TableEnvironment.insertInto(TableEnvironment.scala:786)
> at
> org.apache.flink.table.api.TableEnvironment.sqlUpdate(TableEnvironment.scala:723)
> at
> org.apache.flink.table.api.TableEnvironment.sqlUpdate(TableEnvironment.scala:683)
> at
> com.ximalaya.flink.dsl.application.FlinkApplication$$anonfun$main$5.apply(FlinkApplication.scala:141)
> at
> com.ximalaya.flink.dsl.application.FlinkApplication$$anonfun$main$5.apply(FlinkApplication.scala:139)
> at
> scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
> at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186)
> at
> com.ximalaya.flink.dsl.application.FlinkApplication$.main(FlinkApplication.scala:139)
> at
> com.ximalaya.flink.dsl.web.test.DslTestUtils$.executeDslFile(DslTestUtils.scala:69)
> at
> com.ximalaya.flink.dsl.web.test.PlayCountTest$.main(PlayCountTest.scala:5)
> at com.ximalaya.flink.dsl.web.test.PlayCountTest.main(PlayCountTest.scala)
>
> Best
> Henry
>
