Opinie (Redacting Confidential Data within your Pipelines in Cloud Data Fusion)

Daniel M. · Sprawdzono 11 miesięcy temu

Shivam T. · Sprawdzono 11 miesięcy temu

ADITYA K. · Sprawdzono 11 miesięcy temu

Dhyéy S. · Sprawdzono 11 miesięcy temu

Jalina H. · Sprawdzono 11 miesięcy temu

Suyash b. · Sprawdzono 11 miesięcy temu

Souradeep M. · Sprawdzono 11 miesięcy temu

Souradeep M. · Sprawdzono 11 miesięcy temu

Chandan P. · Sprawdzono 11 miesięcy temu

Pragnesh S. · Sprawdzono 11 miesięcy temu

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. · Sprawdzono 11 miesięcy temu

Manish S. · Sprawdzono 11 miesięcy temu

Pramod K. · Sprawdzono 11 miesięcy temu

Nakul W. · Sprawdzono 11 miesięcy temu

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

Dhanush R. · Sprawdzono 11 miesięcy temu

CHETAN S. · Sprawdzono 11 miesięcy temu

Aryan D. · Sprawdzono 11 miesięcy temu

bnnv

avinash k. · Sprawdzono 11 miesięcy temu

Atindra G. · Sprawdzono 11 miesięcy temu

Somes S. · Sprawdzono 11 miesięcy temu

vyshnav r. · Sprawdzono 11 miesięcy temu

Isuru K. · Sprawdzono 11 miesięcy temu

Van Khanh N. · Sprawdzono 11 miesięcy temu

Atul P. · Sprawdzono 11 miesięcy temu

Rahul G. · Sprawdzono 11 miesięcy temu