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https://issues.apache.org/jira/browse/SPARK-31183?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17063725#comment-17063725
]
koert kuipers edited comment on SPARK-31183 at 3/22/20, 2:03 PM:
-----------------------------------------------------------------
hi!
all spark tests pass for me except hive and avro. hive always seems to fail and
i never figured out why so i ignore it. but avro failure is new and i think its
related to this ticket.
i see errors like this:
{code:java}
- SPARK-31183: rebasing milliseconds timestamps in write *** FAILED ***
[3529/9624]
org.apache.spark.SparkException: Job aborted.
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:226)
at
org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand.run(InsertIntoHadoopFsRelationCommand.scala:178)
at
org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult$lzycompute(commands.scala:108)
at
org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult(commands.scala:106)
at
org.apache.spark.sql.execution.command.DataWritingCommandExec.doExecute(commands.scala:131)
at
org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:175)
at
org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:213)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:210)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:171)
...
Cause: org.apache.spark.SparkException: Job aborted due to stage failure:
Task 0 in stage 186.0 failed 1 times, most recent failure: Lost task 0.0 in $
tage 186.0 (TID 316, server04.tresata.com, executor driver):
org.apache.spark.SparkException: Task failed while writing rows.
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$.executeTask(FileFormatWriter.scala:291)
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$.$anonfun$write$15(FileFormatWriter.scala:205)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at
org.apache.spark.executor.Executor$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)
Caused by: java.lang.ArithmeticException: long overflow
at java.lang.Math.multiplyExact(Math.java:892)
at
org.apache.spark.sql.catalyst.util.DateTimeUtils$.fromMillis(DateTimeUtils.scala:185)
at
org.apache.spark.sql.avro.AvroSerializer.$anonfun$newConverter$17(AvroSerializer.scala:155)
at
org.apache.spark.sql.avro.AvroSerializer.$anonfun$newConverter$17$adapted(AvroSerializer.scala:152)
at
org.apache.spark.sql.avro.AvroSerializer.$anonfun$newStructConverter$2(AvroSerializer.scala:245)
at
org.apache.spark.sql.avro.AvroSerializer.serialize(AvroSerializer.scala:51)
at
org.apache.spark.sql.avro.AvroOutputWriter.write(AvroOutputWriter.scala:64)
at
org.apache.spark.sql.execution.datasources.SingleDirectoryDataWriter.write(FileFormatDataWriter.scala:140)
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$.$anonfun$executeTask$1(FileFormatWriter.scala:273)
at
org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1411)
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$.executeTask(FileFormatWriter.scala:281)
{code}
this is on branch-3.0
on master it seems all tests pass i think. i will check again.
was (Author: koert):
hi!
all spark tests pass for me except hive and avro. hive always seems to fail and
i never figured out why so i ignore it. but avro failure is new and i think its
related to this ticket.
i see errors like this:
{code:java}
- SPARK-31183: rebasing milliseconds timestamps in write *** FAILED ***
[3529/9624]
org.apache.spark.SparkException: Job aborted.
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:226)
at
org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand.run(InsertIntoHadoopFsRelationCommand.scala:178)
at
org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult$lzycompute(commands.scala:108)
at
org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult(commands.scala:106)
at
org.apache.spark.sql.execution.command.DataWritingCommandExec.doExecute(commands.scala:131)
at
org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:175)
at
org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:213)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:210)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:171)
...
Cause: org.apache.spark.SparkException: Job aborted due to stage failure:
Task 0 in stage 186.0 failed 1 times, most recent failure: Lost task 0.0 in $
tage 186.0 (TID 316, server04.tresata.com, executor driver):
org.apache.spark.SparkException: Task failed while writing rows.
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$.executeTask(FileFormatWriter.scala:291)
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$.$anonfun$write$15(FileFormatWriter.scala:205)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at
org.apache.spark.executor.Executor$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)
Caused by: java.lang.ArithmeticException: long overflow
at java.lang.Math.multiplyExact(Math.java:892)
at
org.apache.spark.sql.catalyst.util.DateTimeUtils$.fromMillis(DateTimeUtils.scala:185)
at
org.apache.spark.sql.avro.AvroSerializer.$anonfun$newConverter$17(AvroSerializer.scala:155)
at
org.apache.spark.sql.avro.AvroSerializer.$anonfun$newConverter$17$adapted(AvroSerializer.scala:152)
at
org.apache.spark.sql.avro.AvroSerializer.$anonfun$newStructConverter$2(AvroSerializer.scala:245)
at
org.apache.spark.sql.avro.AvroSerializer.serialize(AvroSerializer.scala:51)
at
org.apache.spark.sql.avro.AvroOutputWriter.write(AvroOutputWriter.scala:64)
at
org.apache.spark.sql.execution.datasources.SingleDirectoryDataWriter.write(FileFormatDataWriter.scala:140)
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$.$anonfun$executeTask$1(FileFormatWriter.scala:273)
at
org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1411)
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$.executeTask(FileFormatWriter.scala:281)
{code}
> Incompatible Avro dates/timestamps with Spark 2.4
> -------------------------------------------------
>
> Key: SPARK-31183
> URL: https://issues.apache.org/jira/browse/SPARK-31183
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 3.0.0
> Reporter: Maxim Gekk
> Assignee: Maxim Gekk
> Priority: Major
> Fix For: 3.0.0
>
>
> Write dates/timestamps to Avro file in Spark 2.4.5:
> {code}
> $ export TZ="America/Los_Angeles"
> $ bin/spark-shell --packages org.apache.spark:spark-avro_2.11:2.4.5
> {code}
> {code:scala}
> scala>
> df.write.format("avro").save("/Users/maxim/tmp/before_1582/2_4_5_ts_avro")
> scala>
> spark.read.format("avro").load("/Users/maxim/tmp/before_1582/2_4_5_ts_avro").show(false)
> +----------+
> |date |
> +----------+
> |1001-01-01|
> +----------+
> scala>
> df2.write.format("avro").save("/Users/maxim/tmp/before_1582/2_4_5_ts_avro")
> scala>
> spark.read.format("avro").load("/Users/maxim/tmp/before_1582/2_4_5_ts_avro").show(false)
> +--------------------------+
> |ts |
> +--------------------------+
> |1001-01-01 01:02:03.123456|
> +--------------------------+
> {code}
> Spark 3.0.0-preview2 ( and 3.1.0-SNAPSHOT) outputs different values from
> Spark 2.4.5:
> {code}
> $ export TZ="America/Los_Angeles"
> $ /bin/spark-shell --packages org.apache.spark:spark-avro_2.12:2.4.5
> {code}
> {code:scala}
> scala> spark.conf.set("spark.sql.session.timeZone", "America/Los_Angeles")
> scala>
> spark.read.format("avro").load("/Users/maxim/tmp/before_1582/2_4_5_date_avro").show(false)
> +----------+
> |date |
> +----------+
> |1001-01-07|
> +----------+
> scala>
> spark.read.format("avro").load("/Users/maxim/tmp/before_1582/2_4_5_ts_avro").show(false)
> +--------------------------+
> |ts |
> +--------------------------+
> |1001-01-07 01:09:05.123456|
> +--------------------------+
> {code}
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