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Table of Contents

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  1. Preface
  2. Introduction to Transformations
  3. Transformation Ports
  4. Transformation Caches
  5. Address Validator Transformation
  6. Aggregator Transformation
  7. Association Transformation
  8. Bad Record Exception Transformation
  9. Case Converter Transformation
  10. Classifier Transformation
  11. Comparison Transformation
  12. Consolidation Transformation
  13. Data Masking Transformation
  14. Data Processor Transformation
  15. Decision Transformation
  16. Duplicate Record Exception Transformation
  17. Expression Transformation
  18. Filter Transformation
  19. Hierarchical to Relational Transformation
  20. Java Transformation
  21. Java Transformation API Reference
  22. Java Expressions
  23. Joiner Transformation
  24. Key Generator Transformation
  25. Labeler Transformation
  26. Lookup Transformation
  27. Lookup Caches
  28. Dynamic Lookup Cache
  29. Macro Transformation
  30. Match Transformation
  31. Match Transformations in Field Analysis
  32. Match Transformations in Identity Analysis
  33. Normalizer Transformation
  34. Merge Transformation
  35. Parser Transformation
  36. Python Transformation
  37. Rank Transformation
  38. Read Transformation
  39. Relational to Hierarchical Transformation
  40. REST Web Service Consumer Transformation
  41. Router Transformation
  42. Sequence Generator Transformation
  43. Sorter Transformation
  44. SQL Transformation
  45. Standardizer Transformation
  46. Union Transformation
  47. Update Strategy Transformation
  48. Web Service Consumer Transformation
  49. Parsing Web Service SOAP Messages
  50. Generating Web Service SOAP Messages
  51. Weighted Average Transformation
  52. Window Transformation
  53. Write Transformation
  54. Appendix A: Transformation Delimiters

Developer Transformation Guide

Developer Transformation Guide

Back Next

Lookup Transformation in a Streaming Mapping

Lookup Transformation in a Streaming Mapping

Streaming mappings have additional processing rules that do not apply to batch mappings.

Mapping Validation

Mapping validation fails in the following situations:
  • The lookup is a data object.
  • An Aggregator transformation is in the same streaming pipeline as a passive Lookup transformation configured with an inequality lookup condition.
  • A Rank transformation is in the same streaming pipeline as a passive Lookup transformation configured with an inequality lookup condition.
  • A pipeline contains more than one passive Lookup transformation configured with an inequality condition.
The mapping fails in the following situations:
  • The transformation is unconnected.

General Guidelines

Consider the following general guidelines:
  • Using a float data type to look up data can return unexpected results.
  • Use a Lookup transformation to look up data in a flat file, HDFS, Hive, relational, JDBC V2, and HBase data.
  • To avoid cross join of DataFrames, configure the Lookup transformation to ignore null values that match.

HBase Lookups

To use a Lookup transformation on uncached HBase tables, perform the following steps:
  1. Create an HBase data object. When you add an HBase table as the resource for a HBase data object, include the ROW ID column.
  2. Create a HBase read data operation and import it into the streaming mapping.
  3. When you import the data operation to the mapping, select the
    Lookup
     option.
  4. On the Lookup tab, configure the following options:
    • Lookup column. Specify an equality condition on ROW ID
    • Operator. Specify =
  5. Verify that format for any date value in the HBase tables is of a valid Java date format. Specify this format in the
    Date Time Format
     property of the
    Advanced Properties
     tab of the data object read operation.
If an HBase lookup does not result in a match, it generates a row with null values for all columns. You can add a Filter transformation after the Lookup transformation to filter out null rows.
Mapping validation fails in the following situations:
  • The condition does not contain a ROW ID.
  • The transformation contains an inequality condition.
  • The transformation contains multiple conditions.
  • An input column is of a date type.

JDBC V2 Lookups

You can add a JDBC V2 data object read operation as a lookup in a streaming mapping. You can run streaming mappings with JDBC V2 lookup in Azure Databricks service in Microsoft Azure cloud services.
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