What's Changed
Big Data Management
This section describes the changes to Big Data Management in version 10.2.2 Service Pack 1.
Data Integration Service Queues
Effective in version 10.2.2 Service Pack 1, the Data Integration Service uses a distributed queue to store job information by default.
You can enable local queuing only by using a custom property. If you require this functionality, contact Informatica Global Support.
Previously, the Data Integration Service used a local queue on each node by default, and used the distributed queue only for Spark jobs when big data recovery was enabled.
For more information, see the "Data Integration Service Processing" chapter in the Informatica Big Data Management 10.2.2 Service Pack 1 Administrator Guide.
Mass Ingestion
Effective in version 10.2.2 Service Pack 1, you can select the cluster default as the storage format for a mass ingestion specification that ingests data to a Hive target. If you select the cluster default, the specification uses the default storage format on the Hadoop cluster.
Previously, the specification used the default storage format on the cluster when you selected the text storage format. In 10.2.2 Service Pack 1, selecting the text storage format ingests data to a standard text file.
Big Data Streaming
This section describes the changes to Big Data Streaming in version 10.2.2 Service Pack 1.
Transformations
This section describes the changes to transformations in Big Data Streaming in version 10.2.2 Service Pack 1.
Rank Transformation
Effective in version 10.2.2 Service Pack 1, a streaming mapping must meet the following additional requirements if it contains a Rank transformation:
- •A streaming mapping cannot contain a Rank transformation and a passive Lookup transformation that is configured with an inequality lookup condition in the same pipeline. Previously, you could use a Rank transformation and a passive Lookup transformation that is configured with an inequality lookup condition in the same pipeline.
- •A Rank transformation in a streaming mapping cannot have a downstream Joiner transformation. Previously, you could use a Rank transformation anywhere before a Joiner transformation in a streaming mapping.
- •A streaming mapping cannot contain more than one Rank transformation in the same pipeline. Previously, you could use multiple Rank transformations in a streaming mapping.
- •A streaming mapping cannot contain an Aggregator transformation and a Rank transformation in the same pipeline. Previously, you could use an Aggregator transformation and a Rank transformation in the same pipeline.
Sorter Transformation
Effective in version 10.2.2 Service Pack 1, a streaming mapping must meet the following additional requirements if it contains a Sorter transformation:
- •A streaming mapping runs in complete output mode if it contains a Sorter transformation. Previously, a streaming mapping used to run in append output mode if it contains a Sorter transformation.
- •The Sorter transformation in a streaming mapping must have an upstream Aggregator transformation. Previously, you could use a Sorter transformation without an upstream Aggregator transformation.
- •The Window transformation upstream from an Aggregator transformation will be ignored if the mapping contains a Sorter transformation. Previously, the Window transformation upstream from an Aggregator transformation was not ignored if the mapping contains a Sorter transformation.
Informatica Analyst
This section describes changes to the Analyst tool in version 10.2.2 Service Pack 1.
Default View
Effective in version 10.2.2 Service Pack 1, the default view for flat file and table objects is the Properties tab. When you create or open a flat file or table data object, the object opens in the Properties tab. Previously, the default view was the Data Viewer tab.
For more information, see the Informatica 10.2.2 Service Pack 1 Analyst Tool Guide.
PowerExchange Adapters for Informatica
This section describes changes to Informatica adapters in version 10.2.2 Service Pack 1.
PowerExchange for Amazon Redshift
Effective in version 10.2.2 Service Pack 1, PowerExchange for Amazon Redshift has the following changes:
- •PowerExchange for Amazon Redshift supports the Server Side Encryption With KMS encryption type on the following distributions:
- - Amazon EMR version 5.20
- - Cloudera CDH version 5.16 and 6.1
Previously, the Data Integration Service supported the Server Side Encryption With KMS encryption type on the following distributions:
- - Amazon EMR version 5.16
- - Cloudera CDH version 5.15
- •You cannot use the following distributions to run Amazon Redshift mappings:
- - MapR version 5.2
- - IBM BigInsight
Previously, you could use the MapR version 5.2 and IBM BigInsight distributions to run Amazon Redshift mappings.
For more information, see the Informatica PowerExchange for Amazon Redshift 10.2.2 Service Pack 1 User Guide.
PowerExchange for Amazon S3
Effective in version 10.2.2 Service Pack 1, PowerExchange for Amazon S3 has the following changes:
- •PowerExchange for Amazon S3 supports the Server Side Encryption With KMS encryption type on the following distributions:
- - Amazon EMR version 5.20
- - Cloudera CDH version 5.16 and 6.1
Previously, PowerExchange for Amazon S3 supported the Server Side Encryption With KMS encryption type on the following distributions:
- - Amazon EMR version 5.16
- - Cloudera CDH version 5.15.
- •You cannot use the following distributions to run Amazon S3 mappings:
- - MapR version 5.2
- - IBM BigInsight
Previously, you could use the MapR version 5.2 and IBM BigInsight distributions to run Amazon S3 mappings.
For more information, see the Informatica PowerExchange for Amazon S3 10.2.2 Service Pack 1 User Guide.