java.lang.Exception: Partition[1]: FATAL ERROR for job S2V_job5364016263210767025. Job status information is available in the Vertica table public.S2V_JOB_STATUS. . Failed rows summary: FailedRowsPercent=1.0; failedRowsPercentTolerance=0.0: FAILED. NOT OK to commit rows to database. Too many rows were rejected. . Unable to create/insert into target table public.sometable

Searched on Google with the first line of a JAVA stack trace?

We can recommend more relevant solutions and speed up debugging when you paste your entire stack trace with the exception message. Try a sample exception.

Recommended solutions based on your search

Samebug tips

Do you know how to solve this issue? Write a tip to help other users and build your expert profile.

Solutions on the web

via Stack Overflow by Syed Muhammad Humayun
, 1 year ago
Partition[1]: FATAL ERROR for job S2V_job5364016263210767025. Job status information is available in the Vertica table public.S2V_JOB_STATUS. . Failed rows summary: FailedRowsPercent=1.0; failedRowsPercentTolerance=0.0: FAILED. NOT OK to commit rows to database. Too many rows were rejected. . Unable to create/insert into target table public.sometable
java.lang.Exception: Partition[1]: FATAL ERROR for job S2V_job5364016263210767025. Job status information is available in the Vertica table public.S2V_JOB_STATUS. . Failed rows summary: FailedRowsPercent=1.0; failedRowsPercentTolerance=0.0: FAILED. NOT OK to commit rows to database. Too many rows were rejected. . Unable to create/insert into target table public.sometable
at com.vertica.spark.s2v.S2V.tryTofinalizeSaveToVertica(S2V.scala:746)
at com.vertica.spark.s2v.S2V$$anonfun$2.apply(S2V.scala:226)
at com.vertica.spark.s2v.S2V$$anonfun$2.apply(S2V.scala:128)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsWithIndex$1$$anonfun$apply$22.apply(RDD.scala:745)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsWithIndex$1$$anonfun$apply$22.apply(RDD.scala:745)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:89)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)

Users with the same issue

You are the first who have seen this exception. Write a tip to help other users and build your expert profile.

Write tip

Know the solutions? Share your knowledge to help other developers to debug faster.