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: Seq[String], fieldDefs: Map[String, Any] = Map.empty): Map[String, Any]

    Do multiple requests if the length of url exceeds limit size (2048).

    Do multiple requests if the length of url exceeds limit size (2048). We need this to retrieve schema of dynamic fields

    solrUrl

    fieldNames

    fieldDefs

    returns

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 getMaxVersion(solrClient: SolrClient, collection: String, solrQuery: SolrQuery, fieldName: String): Option[Long]

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

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

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

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

27. def hashCode(): Int

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28. final def isInstanceOf[T0]: Boolean

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29. def isTraceEnabled(): Boolean

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30. def log: Logger

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

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32. def logDebug(msg: ⇒ String): Unit

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

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34. def logError(msg: ⇒ String): Unit

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

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36. def logInfo(msg: ⇒ String): Unit

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37. def logName: String

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

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39. def logTrace(msg: ⇒ String): Unit

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

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

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

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43. final def notify(): Unit

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44. final def notifyAll(): Unit

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

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

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

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

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

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

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

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

53. def toQuery(queryString: String): SolrQuery

54. def toString(): String

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

56. final def wait(): Unit

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

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

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59. 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.