Mathew Wicks created SPARK-32226:
------------------------------------
Summary: JDBC TimeStamp predicates always append `.0`
Key: SPARK-32226
URL: https://issues.apache.org/jira/browse/SPARK-32226
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 3.0.0
Reporter: Mathew Wicks
If you have an Informix column with type `DATETIME YEAR TO SECOND`, Informix
will not let you pass a filter of the form `2020-01-01 00:00:00.0` (with the
`.0` at the end).
In Spark 3.0.0, our predicate pushdown will alway append this `.0` to the end
of a TimeStamp column filter, even if you don't specify it:
{code:java}
df.where("col1 > '2020-01-01 00:00:00'")
{code}
I think we should only pass the `.XXX` suffix if the user passes it in the
filter, for example:
{code:java}
df.where("col1 > '2020-01-01 00:00:00.123'")
{code}
The relevant Spark class is:
{code:java}
org.apache.spark.sql.catalyst.util.DateTimeUtils.timestampToString
{code}
To aid people searching for this error, here is the error emitted by spark:
{code:java}
Driver stacktrace:
at
org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2023)
at
org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:1972)
at
org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:1971)
at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1971)
at
org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:950)
at
org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:950)
at scala.Option.foreach(Option.scala:407)
at
org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:950)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2203)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2152)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2141)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:752)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2093)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2114)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2133)
at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:467)
at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:420)
at
org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:47)
at org.apache.spark.sql.Dataset.collectFromPlan(Dataset.scala:3625)
at org.apache.spark.sql.Dataset.$anonfun$head$1(Dataset.scala:2695)
at org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3616)
at
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:100)
at
org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:160)
at
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:87)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:763)
at
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3614)
at org.apache.spark.sql.Dataset.head(Dataset.scala:2695)
at org.apache.spark.sql.Dataset.take(Dataset.scala:2902)
at org.apache.spark.sql.Dataset.getRows(Dataset.scala:300)
at org.apache.spark.sql.Dataset.showString(Dataset.scala:337)
at org.apache.spark.sql.Dataset.show(Dataset.scala:824)
at org.apache.spark.sql.Dataset.show(Dataset.scala:783)
at org.apache.spark.sql.Dataset.show(Dataset.scala:792)
... 47 elided
Caused by: java.sql.SQLException: Extra characters at the end of a datetime or
interval.
at com.informix.util.IfxErrMsg.buildExceptionWithMessage(IfxErrMsg.java:416)
at com.informix.util.IfxErrMsg.buildIsamException(IfxErrMsg.java:401)
at com.informix.jdbc.IfxSqli.addException(IfxSqli.java:3096)
at com.informix.jdbc.IfxSqli.receiveError(IfxSqli.java:3368)
at com.informix.jdbc.IfxSqli.dispatchMsg(IfxSqli.java:2292)
at com.informix.jdbc.IfxSqli.receiveMessage(IfxSqli.java:2217)
at com.informix.jdbc.IfxSqli.executePrepare(IfxSqli.java:1213)
at
com.informix.jdbc.IfxPreparedStatement.setupExecutePrepare(IfxPreparedStatement.java:245)
at
com.informix.jdbc.IfxPreparedStatement.processSQL(IfxPreparedStatement.java:229)
at
com.informix.jdbc.IfxPreparedStatement.<init>(IfxPreparedStatement.java:119)
at com.informix.jdbc.IfxSqliConnect.prepareStatement(IfxSqliConnect.java:5905)
at com.informix.jdbc.IfxSqliConnect.prepareStatement(IfxSqliConnect.java:2474)
at
org.apache.spark.sql.execution.datasources.jdbc.JDBCRDD.compute(JDBCRDD.scala:301)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:313)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:313)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:313)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:444)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:447)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
{code}
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