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Posted to issues@spark.apache.org by "Cristi (Jira)" <ji...@apache.org> on 2020/12/21 12:46:00 UTC
[jira] [Created] (SPARK-33867) java.time.Instant and
java.time.LocalDate not handled in
org.apache.spark.sql.jdbc.JdbcDialect#compileValue
Cristi created SPARK-33867:
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Summary: java.time.Instant and java.time.LocalDate not handled in org.apache.spark.sql.jdbc.JdbcDialect#compileValue
Key: SPARK-33867
URL: https://issues.apache.org/jira/browse/SPARK-33867
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 3.0.1
Reporter: Cristi
When using the new java time API (spark.sql.datetime.java8API.enabled=true) LocalDate and Instant aren't handled in org.apache.spark.sql.jdbc.JdbcDialect#compileValue so exceptions are thrown when they are used in filters since a filter condition would be translated to something like this: "validity_end" > 2020-12-21T11:40:24.413681Z
The error and stacktrace:
Caused by: org.postgresql.util.PSQLException: ERROR: syntax error at or near "T11"Caused by: org.postgresql.util.PSQLException: ERROR: syntax error at or near "T11" Position: 285 at org.postgresql.core.v3.QueryExecutorImpl.receiveErrorResponse(QueryExecutorImpl.java:2103) at org.postgresql.core.v3.QueryExecutorImpl.processResults(QueryExecutorImpl.java:1836) at org.postgresql.core.v3.QueryExecutorImpl.execute(QueryExecutorImpl.java:257) at org.postgresql.jdbc2.AbstractJdbc2Statement.execute(AbstractJdbc2Statement.java:512) at org.postgresql.jdbc2.AbstractJdbc2Statement.executeWithFlags(AbstractJdbc2Statement.java:388) at org.postgresql.jdbc2.AbstractJdbc2Statement.executeQuery(AbstractJdbc2Statement.java:273) at org.apache.spark.sql.execution.datasources.jdbc.JDBCRDD.compute(JDBCRDD.scala:304) 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.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52) at org.apache.spark.scheduler.Task.run(Task.scala:127) at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:446) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:449) at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128) at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628) at java.base/java.lang.Thread.run(Thread.java:834)
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