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6. val ALLOW_TOPN: String

7. val DEFAULT_ALLOW_TOPN: Boolean

8. val DEFAULT_CARDINALITY_PER_DRUID_QUERY: String

9. val DEFAULT_DRUID_HOST: String

10. val DEFAULT_LOAD_METADATA_FROM_ALL_SEGMENTS: String

11. val DEFAULT_MAX_CARDINALITY: String

12. val DEFAULT_NON_AGG_QUERY_HANDLING: String

13. val DEFAULT_NUM_SEGMENTS_PER_HISTORICAL_QUERY: String

14. val DEFAULT_PUSH_HYPERLOGLOG_TODRUID: String

15. val DEFAULT_QUERY_GRANULARITY: String

16. val DEFAULT_QUERY_HISTORICAL: String

17. val DEFAULT_STREAM_DRUID_QUERY_RESULTS: String

18. val DEFAULT_TOPN_MAX_THRESHOLD: Int

19. val DEFAULT_USE_SMILE: String

20. val DEFAULT_ZK_DRUID_PATH: String

21. val DEFAULT_ZK_ENABLE_COMPRESSION: String

22. val DEFAULT_ZK_QUALIFY_DISCOVERY_NAMES: String

23. val DEFAULT_ZK_SESSION_TIMEOUT: String

24. val DRUID_DS_PARAM: String

    DataSource name in Druid.

25. val DRUID_HOST_PARAM: String

26. val DRUID_QUERY: String

27. 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.

28. 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.

29. val MAX_CARDINALITY_PARAM: String

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

30. 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

31. val NON_AGG_QUERY_HANDLING: String

32. val NUM_PROCESSING_THREADS_PER_HISTORICAL: String

33. val NUM_SEGMENTS_PER_HISTORICAL_QUERY: String

34. 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.

35. val QUERY_GRANULARITY: String

36. val QUERY_HISTORICAL: String

37. val SOURCE_DF_PARAM: String

38. val SOURCE_TO_DRUID_INFO: String

    List of DruidRelationColumnInfo that provide details about the source column to Druid linkages.

39. 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.

40. val STAR_SCHEMA_INFO_PARAM: String

41. 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.

42. val TIME_DIMENSION_COLUMN_PARAM: String

43. val TOPN_MAX_THRESHOLD: String

44. val USE_SMILE: String

45. val ZK_DRUID_PATH: String

46. val ZK_ENABLE_COMPRESSION: String

47. val ZK_QUALIFY_DISCOVERY_NAMES: String

48. val ZK_SESSION_TIMEOUT: String

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