Redacting Confidential Data within your Pipelines in Cloud Data Fusion recensioni

5344 recensioni

Daniel M. · Recensione inserita 11 mesi fa

Shivam T. · Recensione inserita 11 mesi fa

ADITYA K. · Recensione inserita 11 mesi fa

Dhyéy S. · Recensione inserita 11 mesi fa

Jalina H. · Recensione inserita 11 mesi fa

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Souradeep M. · Recensione inserita 11 mesi fa

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Chandan P. · Recensione inserita 11 mesi fa

Pragnesh S. · Recensione inserita 11 mesi fa

Complete waste of 1.5hrs, tedious long lab and most time spent waiting for service to prvisioned and each job run takes more than 10 mins, then job won't run properly when pipeline preview ran fine 01/09/2025 23:10:01 ERROR Aborting task 01/09/2025 23:10:01 INFO Successfully repaired 'gs://qwiklabs-gcp-00-e1df31d1f801/2025-01-09-15-01/_temporary/0/_temporary/' directory. 01/09/2025 23:10:01 ERROR Task attempt_20250109150913877997772046728130_0005_r_000000_0 aborted. 01/09/2025 23:10:02 ERROR Exception in task 0.0 in stage 0.0 (TID 0) 01/09/2025 23:10:02 WARN Lost task 0.0 in stage 0.0 (TID 0) (cdap-testpipel-ad1cdc98-ce9a-11ef-90b8-2eb8c6a7bfbd-w-0.us-east1-d.c.qwiklabs-gcp-00-e1df31d1f801.internal executor 2): org.apache.spark.SparkException: Task failed while writing rows at org.apache.spark.internal.io.SparkHadoopWriter$.executeTask(SparkHadoopWriter.scala:163) at org.apache.spark.internal.io.SparkHadoopWriter$.$anonfun$write$1(SparkHadoopWriter.scala:88) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) at org.apache.spark.scheduler.Task.run(Task.scala:136) at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:548) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1505) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:551) at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128) at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628) at java.base/java.lang.Thread.run(Thread.java:829) Caused by: io.cdap.cdap.api.data.format.UnexpectedFormatException: field State cannot be set to a null value. at io.cdap.cdap.api.data.format.StructuredRecord$Builder.validateAndGetField(StructuredRecord.java:708) at io.cdap.cdap.api.data.format.StructuredRecord$Builder.set(StructuredRecord.java:386) at io.cdap.plugin.format.delimited.common.DelimitedStructuredRecordStringConverter.parseAndSetFieldValue(DelimitedStructuredRecordStringConverter.java:40) at io.cdap.plugin.format.delimited.input.PathTrackingDelimitedInputFormat$1.nextKeyValue(PathTrackingDelimitedInputFormat.java:95) at io.cdap.plugin.format.input.PathTrackingInputFormat$TrackingRecordReader.nextKeyValue(PathTrackingInputFormat.java:136) at org.apache.hadoop.mapreduce.lib.input.CombineFileRecordReaderWrapper.nextKeyValue(CombineFileRecordReaderWrapper.java:90) at org.apache.hadoop.mapreduce.lib.input.CombineFileRecordReader.nextKeyValue(CombineFileRecordReader.java:65) at org.apache.spark.rdd.NewHadoopRDD$$anon$1.hasNext(NewHadoopRDD.scala:251) at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:491) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:491) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:491) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:491) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:491) at org.apache.spark.internal.io.SparkHadoopWriter$.$anonfun$executeTask$1(SparkHadoopWriter.scala:136) at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1539) at org.apache.spark.internal.io.SparkHadoopWriter$.executeTask(SparkHadoopWriter.scala:135) ... 9 more Failed due to DLP rate limit, please request more quota from DLP: https://cloud.google.com/dlp/limits#increases

Allen Y. · Recensione inserita 11 mesi fa

Manish S. · Recensione inserita 11 mesi fa

Pramod K. · Recensione inserita 11 mesi fa

Nakul W. · Recensione inserita 11 mesi fa

i cant remove the chat on the page, its irritating me and i am unable to see whats wrong

Dhanush R. · Recensione inserita 11 mesi fa

CHETAN S. · Recensione inserita 11 mesi fa

Aryan D. · Recensione inserita 11 mesi fa

bnnv

avinash k. · Recensione inserita 11 mesi fa

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Atul P. · Recensione inserita 11 mesi fa

Rahul G. · Recensione inserita 11 mesi fa

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