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  1. Abstract
  2. PowerExchange for Amazon Redshift
  3. PowerExchange for Amazon S3
  4. PowerExchange for Cassandra
  5. PowerExchange for Cassandra JDBC
  6. PowerExchange for DataSift
  7. PowerExchange for Facebook
  8. PowerExchange for Google Analytics
  9. PowerExchange for Google BigQuery
  10. PowerExchange for Google Cloud Spanner
  11. PowerExchange for Google Cloud Storage
  12. PowerExchange for Greenplum
  13. PowerExchange for HBase
  14. PowerExchange for HDFS
  15. PowerExchange for Hive
  16. PowerExchange for JD Edwards EnterpriseOne
  17. PowerExchange for JDBC V2
  18. PowerExchange for LDAP
  19. PowerExchange for LinkedIn
  20. PowerExchange for MapR-DB
  21. PowerExchange for Microsoft Azure Blob Storage
  22. PowerExchange for Microsoft Azure Cosmos DB SQL API
  23. PowerExchange for Microsoft Azure Data Lake Storage Gen1
  24. PowerExchange for Microsoft Azure Data Lake Storage Gen2
  25. PowerExchange for Microsoft Azure SQL Data Warehouse
  26. PowerExchange for Microsoft Dynamics CRM
  27. PowerExchange for MongoDB
  28. PowerExchange for Netezza
  29. PowerExchange for OData
  30. PowerExchange for Salesforce
  31. PowerExchange for Salesforce Marketing Cloud
  32. PowerExchange for SAP NetWeaver
  33. PowerExchange for Snowflake
  34. PowerExchange for Tableau
  35. PowerExchange for Tableau V3
  36. PowerExchange for Teradata Parallel Transporter API
  37. PowerExchange for Twitter
  38. PowerExchange for Web Content-Kapow Katalyst
  39. Informatica Global Customer Support

PowerExchange Adapters for Informatica Release Notes (10.4.1.2)

PowerExchange Adapters for Informatica Release Notes (10.4.1.2)

PowerExchange for Amazon S3 Known Issues (10.4.0)

PowerExchange for Amazon S3 Known Issues (10.4.0)

The following table describes known issues:
Bug
Description
BDM-11443
When you run a mapping on the Spark engine to read data from a compressed Amazon S3 file and if the file does not have extension for the different compression formats, the mapping fails.
OCON-24554
When you refresh the source or target schema at runtime in a dynamic mapping, the values that you specify for the delimiter, text qualifier, and escape character for a flat file are not honored and the default values are used instead. This might lead to unexpected results in the target.
OCON-23273
When you enable Refresh Schema, the mapping fails to run on the Databricks Spark engine.
OCON-20605
When you run a mapping, in the native environment, to read a flat file that has unicode characters, a space, null values, single quotes, or a value that starts with a dollar sign, the Data Integration Service adds double quotes to the values when writing data to the target.
OCON-17443
When you use the
Create Target
option to create an Amazon S3 target and select Flat as the Resource Format, fields are not getting propagated to the target.
Workaround: Create fields manually in the target file and run the mapping.
OCON-12037
When you import an ORC file that contains Binary data type and other data types, a single binary port is created instead of multiple ports.
OCON-12035
When you run a mapping on the Spark engine to read or write ORC files that contains Binary data type, the task fails with the following error message:
(AmazonS3Read, SparkEngine) = java.lang.RuntimeException
OCON-12022
When you run a mapping on the Spark engine to read an ORC file that contains Timestamp data type, the mapping runs successfully. However, the Data Integration Service truncates the nanosecond values that are more than six digits.
OCON-11874
When you run a mapping on the Spark engine to read from a multiline JSON file and write the data to the target, the mapping runs successfully. However, the Data Integration Service does not write the data to the target.
OCON-10032
When you use the Hortonworks 2.6 distribution, Amazon S3 mapping fails on the Spark engine when it reads from or writes to an Amazon S3 cluster that has Version 4 authentication with the following error message:
com.amazonaws.services.s3.model.AmazonS3Exception: Status Code: 400, AWS Service: Amazon S3, AWS Request ID: B4AC764FDB8DA642, AWS Error Code: null, AWS Error Message: Bad Request
OCON-10028
When you use the IBM BigInsight 4.2 distribution, Amazon S3 mapping fails on the Spark engine when it reads from or writes to an Amazon S3 cluster that has Version 4 authentication with the following error message:
<CmdExecInProcessTasks-pool-2-thread-29> SEVERE:[Pre_Spark_Task_Command_1] [com.informatica.platform.dtm.executor.hadoop.impl.cmdtasks.HadoopFSRmRfTask]
OCON-10026
When you use the MapR 5.2 secure cluster, Amazon S3 mapping fails on the Spark engine when it reads from or writes to an Amazon S3 cluster that has Version 4 authentication with the following error message:
<CmdExecInProcessTasks-pool-2-thread-29> SEVERE:[Pre_Spark_Task_Command_1][com.informatica.platform.dtm.executor.hadoop.impl.cmdtasks.HadoopFSRmRfTask]
OCON-9765
When you read files within a sub-directory that contains different compression formats, the Data Integration Service does not write the data to the target properly.
OCON-9353
When you create an Amazon S3 data object for the
US East (Ohio)
region and run a mapping on the Spark engine, the task fails. However, the same mapping runs successfully in the native environment.
OCON-8996
Unable to view the list of files available in a bucket when you expand the bucket name list in the
Object Explorer
view.
Workaround: To view the list of files available in a bucket, you must select the bucket name instead of expanding the bucket name list in the Object Explorer view.
OCON-7963
When you run an Amazon S3 mapping on the Blaze engine to read data from or write data to an Amazon S3 bucket that requires Version 4 authentication, the mapping fails. This issue occurs if you use the Hortonworks 2.3 distribution.
OCON-7938
When you run an Amazon S3 mapping in the native environment, the incorrect values in the decimal or bigint data type field are replaced by zeroes. However, the mapping runs successfully and the session log displays the following error message:
2017-03-13 23:46:08.131 <TASK_140116755179264-READER_1_1_1> SEVERE: [APPSDK_Msg_1762] Data for column [age] of type [bigint] should be a of type [java.lang.Number] or its sub-types.
OCON-7911
When you run an Amazon S3 mapping on the Blaze engine to read data from or write data to an Amazon S3 bucket that requires Version 4 authentication, the mapping fails. This issue occurs if you use the MapR 5.2 distribution.
OCON-7743
When you connect to Amazon S3 from the Administrator console for a Kerberos domain, database TLS enabled, or enabled secure communication, the test connection fails with the following error message:
The requested operation could not be performed due to the following error: Connection error: Unable to execute HTTP reuest:
OCON-7024
An Amazon S3 mapping fails on the Blaze engine when it reads from or write to an Amazon S3 cluster that uses IBM BigInsight 4.2 distribution and requires Version 4 authentication.
OCON-6887
If the delimiter in the source and the target is a multibyte character, the PowerExchange for Amazon S3 mapping fails.
OCON-5736
When you run an Amazon S3 mapping that writes to an Amazon S3 target on the Blaze engine, the hash symbol (#) precedes the header in the Amazon S3 target.