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6. val DEFAULT_CARDINALITY_PER_DRUID_QUERY: String

7. val DEFAULT_DRUID_HOST: String

8. val DEFAULT_LOAD_METADATA_FROM_ALL_SEGMENTS: String

9. val DEFAULT_MAX_CARDINALITY: String

10. val DEFAULT_NUM_SEGMENTS_PER_HISTORICAL_QUERY: String

11. val DEFAULT_PUSH_HYPERLOGLOG_TODRUID: String

12. val DEFAULT_QUERY_HISTORICAL: String

13. val DEFAULT_STREAM_DRUID_QUERY_RESULTS: String

14. val DEFAULT_ZK_DRUID_PATH: String

15. val DEFAULT_ZK_ENABLE_COMPRESSION: String

16. val DEFAULT_ZK_QUALIFY_DISCOVERY_NAMES: String

17. val DEFAULT_ZK_SESSION_TIMEOUT: String

18. val DRUID_DS_PARAM: String

    DataSource name in Druid.

19. val DRUID_HOST_PARAM: String

20. val DRUID_QUERY: String

21. val FUNCTIONAL_DEPENDENCIES_PARAM: String

    Specify how columns are related, see org.sparklinedata.druid.metadata.FunctionalDependency.

    Specify how columns are related, see org.sparklinedata.druid.metadata.FunctionalDependency. Specified as a list of functional dependency objects.

22. val LOAD_METADATA_FROM_ALL_SEGMENTS: String

    When loading Druid DataSource metadata should the query interval be the entire dataSource interval, or only the latest segment is enough.

    When loading Druid DataSource metadata should the query interval be the entire dataSource interval, or only the latest segment is enough. Default is to load from all segments; since our query has ("analysisTypes" -> []) the query is cheap.

23. val MAX_CARDINALITY_PARAM: String

    If the result cardinality of a Query exceeeds this value then Query is not converted to a Druid Query.

24. val MAX_CARDINALITY_PER_DRUID_QUERY_PARAM: String

    If the result size estimate exceeds this number, and attempt is made to run 'n' druid queries, each of which spans a sub interval of the total time interval.

    If the result size estimate exceeds this number, and attempt is made to run 'n' druid queries, each of which spans a sub interval of the total time interval. 'n' is computed as result.size % thisParam + 1

25. val NUM_PROCESSING_THREADS_PER_HISTORICAL: String

26. val NUM_SEGMENTS_PER_HISTORICAL_QUERY: String

27. val PUSH_HYPERLOGLOG_TODRUID: String

    Controls whether Query results from Druid are streamed into Spark Operator pipeline.

    Controls whether Query results from Druid are streamed into Spark Operator pipeline. Default is true.

28. val QUERY_HISTORICAL: String

29. val SOURCE_DF_PARAM: String

30. val SOURCE_TO_DRUID_NAME_MAP_PARAM: String

    Map column names to Druid field names.

    Map column names to Druid field names. Specified as a json string.

31. val STAR_SCHEMA_INFO_PARAM: String

32. val STREAM_DRUID_QUERY_RESULTS: String

    Controls whether Query results from Druid are streamed into Spark Operator pipeline.

    Controls whether Query results from Druid are streamed into Spark Operator pipeline. Default is true.

33. val TIME_DIMENSION_COLUMN_PARAM: String

34. val ZK_DRUID_PATH: String

35. val ZK_ENABLE_COMPRESSION: String

36. val ZK_QUALIFY_DISCOVERY_NAMES: String

37. val ZK_SESSION_TIMEOUT: String

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