Redacting Confidential Data within your Pipelines in Cloud Data Fusion Reviews

5361 reviews

Shivam T. · Reviewed أكثر من سنة ago

ADITYA K. · Reviewed أكثر من سنة ago

Dhyéy S. · Reviewed أكثر من سنة ago

Jalina H. · Reviewed أكثر من سنة ago

Suyash b. · Reviewed أكثر من سنة ago

Souradeep M. · Reviewed أكثر من سنة ago

Souradeep M. · Reviewed أكثر من سنة ago

Chandan P. · Reviewed أكثر من سنة ago

Pragnesh S. · Reviewed أكثر من سنة ago

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. · Reviewed أكثر من سنة ago

Manish S. · Reviewed أكثر من سنة ago

Pramod K. · Reviewed أكثر من سنة ago

Nakul W. · Reviewed أكثر من سنة ago

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

Dhanush R. · Reviewed أكثر من سنة ago

CHETAN S. · Reviewed أكثر من سنة ago

Aryan D. · Reviewed أكثر من سنة ago

bnnv

avinash k. · Reviewed أكثر من سنة ago

Atindra G. · Reviewed أكثر من سنة ago

Somes S. · Reviewed أكثر من سنة ago

vyshnav r. · Reviewed أكثر من سنة ago

Isuru K. · Reviewed أكثر من سنة ago

Van Khanh N. · Reviewed أكثر من سنة ago

Atul P. · Reviewed أكثر من سنة ago

Rahul G. · Reviewed أكثر من سنة ago

Sinn Z. · Reviewed أكثر من سنة ago

We do not ensure the published reviews originate from consumers who have purchased or used the products. Reviews are not verified by Google.