gtwuser opened a new issue, #8878:
URL: https://github.com/apache/hudi/issues/8878
A clear and concise description of the problem.
Got stuck while creating partition out of a column `lastUpdateDate` whose
value is given in `yyyy-MM-dd'T'HH:mm:ss` format.
example {"lastUpdateDate": "2022-10-28T17:36:25"}, column. Its getting
errored out.
Config of interest is :
```
"hoodie.datasource.write.keygenerator.class":
"org.apache.hudi.keygen.TimestampBasedKeyGenerator",
"hoodie.deltastreamer.keygen.timebased.timestamp.type": "DATE_STRING",
"hoodie.deltastreamer.keygen.timebased.timezone": "GMT+5:30",
"hoodie.deltastreamer.keygen.timebased.output.dateformat": "yyyyMMddHH",
"hoodie.deltastreamer.keygen.timebased.input.dateformat":
"yyyy-MM-dd'T'HH:mm:ssZ,yyyy-MM-dd'T'HH:mm:ss.SSSZ",
"hoodie.datasource.write.keygenerator.consistent.logical.timestamp.enabled":"true",
```
And the error is : `Caused by: java.lang.IllegalArgumentException: Invalid
format: "2019-12-19T11:43:31" is too short`
**Expected behavior**
A clear and concise description of what you expected to happen.
- Input column on which partitioning is expected : `{"lastUpdateDate":
"2022-10-28T17:36:25"}`
- This column is having a format of `yyyy-MM-dd'T'HH:mm:ss`
- Output format is set as
`"hoodie.deltastreamer.keygen.timebased.output.dateformat": "yyyyMMddHH",`
- Expected output partitioning for the given example is : `20221028`
**Environment Description**
* Hudi version : 0.13.1 (basically which ever Hudi version is supported via
Glue 4.0)
* Spark version : 3.3
* Storage (HDFS/S3/GCS..) : S3
* Running on Docker? (yes/no) : no
**Stacktrace**
```Add the stacktrace of the error.```
```
2023-06-02 16:42:48,152,152 ERROR [cxdl4-ldf-kkj-sbx.py:369] error
ingesting data:An error occurred while calling o174.save.
:
Caused by: org.apache.spark.SparkException: Job aborted due to stage
failure: Task 0 in stage 0.0 failed 4 times, most recent failure: Lost task 0.3
in stage 0.0 (TID 3) (172.35.26.139 executor 1):
org.apache.hudi.exception.HoodieKeyGeneratorException: Failed to properly
format partition-path (2019-12-19T11:43:31)
at
org.apache.hudi.keygen.TimestampBasedKeyGenerator.getFormattedPartitionPath(TimestampBasedKeyGenerator.java:100)
at
org.apache.hudi.keygen.TimestampBasedKeyGenerator.getPartitionPath(TimestampBasedKeyGenerator.java:84)
at
org.apache.hudi.HoodieDatasetBulkInsertHelper$.$anonfun$prepareForBulkInsert$2(HoodieDatasetBulkInsertHelper.scala:73)
at scala.collection.Iterator$$anon$10.next(Iterator.scala:461)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown
Source)
at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:35)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.hasNext(Unknown
Source)
at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:968)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:490)
at
org.apache.spark.sql.execution.datasources.v2.DataWritingSparkTask$.$anonfun$run$1(WriteToDataSourceV2Exec.scala:435)
at
org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1550)
at
org.apache.spark.sql.execution.datasources.v2.DataWritingSparkTask$.run(WriteToDataSourceV2Exec.scala:480)
at
org.apache.spark.sql.execution.datasources.v2.V2TableWriteExec.$anonfun$writeWithV2$2(WriteToDataSourceV2Exec.scala:381)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:138)
at
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:548)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1516)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:551)
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:750)
Caused by: java.lang.IllegalArgumentException: Invalid format:
"2019-12-19T11:43:31" is too short
at
org.joda.time.format.DateTimeFormatter.parseDateTime(DateTimeFormatter.java:945)
at
org.apache.hudi.keygen.TimestampBasedAvroKeyGenerator.getPartitionPath(TimestampBasedAvroKeyGenerator.java:186)
at
org.apache.hudi.keygen.TimestampBasedKeyGenerator.getFormattedPartitionPath(TimestampBasedKeyGenerator.java:98)
... 20 more
Driver stacktrace:
at
org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2863)
at
org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2799)
at
org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2798)
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:2798)
at
org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:1239)
at
org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:1239)
at scala.Option.foreach(Option.scala:407)
at
org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1239)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:3051)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2993)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2982)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
at
org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:1009)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2229)
at
org.apache.spark.sql.execution.datasources.v2.V2TableWriteExec.writeWithV2(WriteToDataSourceV2Exec.scala:377)
... 88 more
Caused by: org.apache.hudi.exception.HoodieKeyGeneratorException: Failed to
properly format partition-path (2019-12-19T11:43:31)
at
org.apache.hudi.keygen.TimestampBasedKeyGenerator.getFormattedPartitionPath(TimestampBasedKeyGenerator.java:100)
at
org.apache.hudi.keygen.TimestampBasedKeyGenerator.getPartitionPath(TimestampBasedKeyGenerator.java:84)
at
org.apache.hudi.HoodieDatasetBulkInsertHelper$.$anonfun$prepareForBulkInsert$2(HoodieDatasetBulkInsertHelper.scala:73)
at scala.collection.Iterator$$anon$10.next(Iterator.scala:461)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown
Source)
at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:35)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.hasNext(Unknown
Source)
at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:968)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:490)
at
org.apache.spark.sql.execution.datasources.v2.DataWritingSparkTask$.$anonfun$run$1(WriteToDataSourceV2Exec.scala:435)
at
org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1550)
at
org.apache.spark.sql.execution.datasources.v2.DataWritingSparkTask$.run(WriteToDataSourceV2Exec.scala:480)
at
org.apache.spark.sql.execution.datasources.v2.V2TableWriteExec.$anonfun$writeWithV2$2(WriteToDataSourceV2Exec.scala:381)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:138)
at
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:548)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1516)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:551)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
... 1 more
Caused by: java.lang.IllegalArgumentException: Invalid format:
"2019-12-19T11:43:31" is too short
at
org.joda.time.format.DateTimeFormatter.parseDateTime(DateTimeFormatter.java:945)
at
org.apache.hudi.keygen.TimestampBasedAvroKeyGenerator.getPartitionPath(TimestampBasedAvroKeyGenerator.java:186)
at
org.apache.hudi.keygen.TimestampBasedKeyGenerator.getFormattedPartitionPath(TimestampBasedKeyGenerator.java:98)
... 20 more
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