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  • Data Engineering Integration 10.2
  • All Products

Table of Contents

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  1. Abstract
  2. Installation and Upgrade
  3. 10.2 Fixed Limitations and Closed Enhancements
  4. 10.2 Known Limitations
  5. Emergency Bug Fixes Merged into 10.2
  6. Informatica Global Customer Support

Release Notes

Release Notes

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Data Transformation Known Limitations (10.2)

Data Transformation Known Limitations (10.2)

The following table describes known limitations:
Bug
Description
CM-7860
When a Data Processor transformation reads Parquet input with Amazon EMR in the Hive environment, the read action might fail.
Workaround: Remove the following compression codecs from the
core-site.xml
 property on all EMR instances in the clusters:
  • com.hadoop.compression.lzo.LzoCodec
  • com.hadoop.compression.lzo.LzopCodec
Add the following values:
  • org.apache.hadoop.io.compress.GzipCodec
  • org.apache.hadoop.io.compress.DefaultCodec
  • org.apache.hadoop.io.compress.BZip2Codec
  • org.apache.hadoop.io.compress.SnappyCodec
In addition, remove the
io.compression.codecs
 property.
CM-7833
When using UTF-8 encoding and non-English characters in field names while importing a JSON schema, some fields with non-English characters might not be mapped.
Workaround: Provide a schema and data with UTF-8 encoding.
Cm-7830
A hierarchical to relational Data Processor transformation is set in accumulation output. For a JSON to hierarchical transformation, if you change the output port to binary, the output will be multiple JSON data sets. The output is not valid, even though each JSON data set is valid.
CM-7823
The Data Processor transformation can show 100,002 markings by default in the Data Viewer.
Workaround: To show all markings, change the settings for the environment variable
IFCM_MAX_MARKINGS
.
B2BT-312
Service parameters are not supported for a Data Processor transformation with relational input.
Workaround: Create two Data Processor transformations. Configure the first Data Processor transformation to use Input Mapping mode without the service. Configure the second Data Processor transformation with the service and define the service parameters. Link the output of the first transformation to the second transformation. Pass the service parameters with passthrough ports through the first transformation.
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