SolrQuerySupport

Value Members

1. final def !=(arg0: AnyRef): Boolean

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2. final def !=(arg0: Any): Boolean

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3. final def ##(): Int

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4. final def ==(arg0: AnyRef): Boolean

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5. final def ==(arg0: Any): Boolean

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6. val SOLR_DATA_TYPES: Map[String, DataType]

7. def addDefaultSort(solrQuery: SolrQuery, uniqueKey: String): Unit

8. final def asInstanceOf[T0]: T0

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9. def clone(): AnyRef

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10. def constructFieldInfoMap(fieldsInfoList: List[Any]): Map[String, Any]

11. final def eq(arg0: AnyRef): Boolean

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12. def equals(arg0: Any): Boolean

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13. def fetchFieldSchemaInfoFromSolr(fieldsUrl: String): Map[String, Any]

14. def fillPivotFieldValues(rawValue: String, row: Array[Any], schema: StructType, pivotPrefix: String): Unit

15. def finalize(): Unit

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16. final def getClass(): Class[_]

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17. def getFieldDefinitionsFromSchema(solrUrl: String, fieldNames: Set[String]): Map[String, Any]

18. def getFieldTypeToClassMap(solrUrl: String): Map[String, String]

19. def getFieldTypes(fields: Set[String], solrUrl: String): Map[String, SolrFieldMeta]

20. def getFieldTypes(fields: Set[String], solrBaseUrl: String, collection: String): Map[String, SolrFieldMeta]

21. def getFieldsFromLuke(solrUrl: String): Set[String]

22. def getNumDocsFromSolr(collection: String, zkHost: String, query: Option[SolrQuery]): Long

23. def getPivotFieldRange(schema: StructType, pivotPrefix: String): Array[Int]

24. def getPivotSchema(fieldName: String, maxCols: Int, fieldPrefix: String, otherName: String, collection: String, schema: StructType, uniqueKey: String, zkHost: String): List[StructField]

25. def getUniqueKey(zkHost: String, collection: String): String

26. def hashCode(): Int

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27. final def isInstanceOf[T0]: Boolean

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28. def isTraceEnabled(): Boolean

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29. def log: Logger

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30. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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31. def logDebug(msg: ⇒ String): Unit

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32. def logError(msg: ⇒ String, throwable: Throwable): Unit

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33. def logError(msg: ⇒ String): Unit

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34. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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35. def logInfo(msg: ⇒ String): Unit

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36. def logName: String

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37. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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38. def logTrace(msg: ⇒ String): Unit

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39. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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40. def logWarning(msg: ⇒ String): Unit

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41. final def ne(arg0: AnyRef): Boolean

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42. final def notify(): Unit

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43. final def notifyAll(): Unit

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44. def queryAndStreamResponsePost(params: SolrParams, callback: StreamingResponseCallback, cloudClient: SolrClient): QueryResponse

45. def querySolr(solrClient: SolrClient, solrQuery: SolrQuery, startIndex: Int, cursorMark: String, callback: StreamingResponseCallback): Option[QueryResponse]

46. def querySolr(solrClient: SolrClient, solrQuery: SolrQuery, startIndex: Int, cursorMark: String): Option[QueryResponse]

47. def setQueryDefaultsForShards(solrQuery: SolrQuery, uniqueKey: String): Unit

48. def setQueryDefaultsForTV(solrQuery: SolrQuery, field: String, uniqueKey: String): Unit

49. def splitShard(sc: SparkContext, query: SolrQuery, shards: List[String], splitFieldName: String, splitsPerShard: Int, collection: String): RDD[ShardSplit[_]]

50. final def synchronized[T0](arg0: ⇒ T0): T0

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51. def toPivotSchema(baseSchema: StructType, pivotFields: Array[PivotField], collection: String, schema: StructType, uniqueKey: String, zkHost: String): StructType

52. def toQuery(queryString: String): SolrQuery

53. def toString(): String

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54. def validateExportHandlerQuery(solrServer: SolrClient, solrQuery: SolrQuery): Unit

55. final def wait(): Unit

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56. final def wait(arg0: Long, arg1: Int): Unit

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57. final def wait(arg0: Long): Unit

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58. def withPivotFields(solrData: DataFrame, pivotFields: Array[PivotField], solrRDD: SolrRDD, escapeFieldNames: Boolean): DataFrame

    Allows you to pivot a categorical field into multiple columns that can be aggregated into counts, e.

    Allows you to pivot a categorical field into multiple columns that can be aggregated into counts, e.g. a field holding HTTP method (http_verb=GET) can be converted into: http_method_get=1, which is a common task when creating aggregations.