org.apache.spark.sql.hive

HiveContext

class HiveContext extends SQLContext

An instance of the Spark SQL execution engine that integrates with data stored in Hive. Configuration for Hive is read from hive-site.xml on the classpath.

Self Type
HiveContext
Linear Supertypes
SQLContext, Serializable, Serializable, UDFRegistration, ExpressionConversions, SQLConf, Logging, AnyRef, Any
Known Subclasses
LocalHiveContext, TestHive, TestHiveContext
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Inherited
  1. HiveContext
  2. SQLContext
  3. Serializable
  4. Serializable
  5. UDFRegistration
  6. ExpressionConversions
  7. SQLConf
  8. Logging
  9. AnyRef
  10. Any
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  1. Public
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Instance Constructors

  1. new HiveContext(sc: SparkContext)

Type Members

  1. implicit class DslAttribute extends AnyRef

    Definition Classes
    ExpressionConversions

  2. implicit class DslExpression extends ImplicitOperators

    Definition Classes
    ExpressionConversions

  3. implicit class DslString extends ImplicitOperators

    Definition Classes
    ExpressionConversions

  4. implicit class DslSymbol extends ImplicitAttribute

    Definition Classes
    ExpressionConversions

  5. abstract class ImplicitAttribute extends ImplicitOperators

    Definition Classes
    ExpressionConversions

  6. abstract class QueryExecution extends HiveContext.QueryExecution

    Extends QueryExecution with hive specific features.

  7. class SparkPlanner extends SparkStrategies

    Attributes
    protected[org.apache.spark.sql]
    Definition Classes
    SQLContext

Value Members

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

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  3. final def ##(): Int

    Definition Classes
    AnyRef → Any

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

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  6. def analyze(tableName: String): Unit

    Analyzes the given table in the current database to generate statistics, which will be used in query optimizations.

    Analyzes the given table in the current database to generate statistics, which will be used in query optimizations.

    Right now, it only supports Hive tables and it only updates the size of a Hive table in the Hive metastore.

  7. lazy val analyzer: Analyzer

    Attributes
    protected[org.apache.spark.sql]
    Definition Classes
    HiveContext → SQLContext

  8. def applySchema(rowRDD: RDD[Row], schema: StructType): SchemaRDD

    :: DeveloperApi :: Creates a SchemaRDD from an RDD containing Rows by applying a schema to this RDD.

    :: DeveloperApi :: Creates a SchemaRDD from an RDD containing Rows by applying a schema to this RDD. It is important to make sure that the structure of every Row of the provided RDD matches the provided schema. Otherwise, there will be runtime exception. Example:

    import org.apache.spark.sql._
val sqlContext = new org.apache.spark.sql.SQLContext(sc)

val schema =
  StructType(
    StructField("name", StringType, false) ::
    StructField("age", IntegerType, true) :: Nil)

val people =
  sc.textFile("examples/src/main/resources/people.txt").map(
    _.split(",")).map(p => Row(p(0), p(1).trim.toInt))
val peopleSchemaRDD = sqlContext. applySchema(people, schema)
peopleSchemaRDD.printSchema
// root
// |-- name: string (nullable = false)
// |-- age: integer (nullable = true)

  peopleSchemaRDD.registerTempTable("people")
sqlContext.sql("select name from people").collect.foreach(println)
    Definition Classes
    SQLContext
    Annotations
    @DeveloperApi()

  9. def approxCountDistinct(e: Expression, rsd: Double): ApproxCountDistinct

    Definition Classes
    ExpressionConversions

  10. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  11. def avg(e: Expression): Average

    Definition Classes
    ExpressionConversions

  12. implicit def binaryToLiteral(a: Array[Byte]): Literal

    Definition Classes
    ExpressionConversions

  13. implicit def booleanToLiteral(b: Boolean): Literal

    Definition Classes
    ExpressionConversions

  14. implicit def byteToLiteral(b: Byte): Literal

    Definition Classes
    ExpressionConversions

  15. def cacheTable(tableName: String): Unit

    Caches the specified table in-memory.

    Caches the specified table in-memory.

    Definition Classes
    SQLContext

  16. lazy val catalog: HiveMetastoreCatalog with OverrideCatalog

    Attributes
    protected[org.apache.spark.sql]
    Definition Classes
    HiveContext → SQLContext

  17. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  18. def count(e: Expression): Count

    Definition Classes
    ExpressionConversions

  19. def countDistinct(e: Expression*): CountDistinct

    Definition Classes
    ExpressionConversions

  20. def createParquetFile[A <: Product](path: String, allowExisting: Boolean = true, conf: Configuration = new Configuration())(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[A]): SchemaRDD

    :: Experimental :: Creates an empty parquet file with the schema of class A, which can be registered as a table.

    :: Experimental :: Creates an empty parquet file with the schema of class A, which can be registered as a table. This registered table can be used as the target of future insertInto operations.

    val sqlContext = new SQLContext(...)
import sqlContext._

case class Person(name: String, age: Int)
createParquetFile[Person]("path/to/file.parquet").registerTempTable("people")
sql("INSERT INTO people SELECT 'michael', 29")
    A

    A case class type that describes the desired schema of the parquet file to be created.

    path

    The path where the directory containing parquet metadata should be created. Data inserted into this table will also be stored at this location.

    allowExisting

    When false, an exception will be thrown if this directory already exists.

    conf

    A Hadoop configuration object that can be used to specify options to the parquet output format.

    Definition Classes
    SQLContext
    Annotations
    @Experimental()

  21. implicit def createSchemaRDD[A <: Product](rdd: RDD[A])(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[A]): SchemaRDD

    Creates a SchemaRDD from an RDD of case classes.

    Creates a SchemaRDD from an RDD of case classes.

    Definition Classes
    SQLContext

  22. def createTable[A <: Product](tableName: String, allowExisting: Boolean = true)(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[A]): Unit

    Creates a table using the schema of the given class.

    Creates a table using the schema of the given class.

    A

    A case class that is used to describe the schema of the table to be created.

    tableName

    The name of the table to create.

    allowExisting

    When false, an exception will be thrown if the table already exists.

  23. implicit def decimalToLiteral(d: BigDecimal): Literal

    Definition Classes
    ExpressionConversions

  24. implicit def doubleToLiteral(d: Double): Literal

    Definition Classes
    ExpressionConversions

  25. lazy val emptyResult: RDD[Row]

    Attributes
    protected[org.apache.spark.sql]
    Definition Classes
    SQLContext

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

    Definition Classes
    AnyRef

  27. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  28. def executePlan(plan: LogicalPlan): QueryExecution

    Attributes
    protected[org.apache.spark.sql]
    Definition Classes
    HiveContext → SQLContext

  29. def executeSql(sql: String): HiveContext.QueryExecution

    Attributes
    protected[org.apache.spark.sql]
    Definition Classes
    SQLContext

  30. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  31. def first(e: Expression): First

    Definition Classes
    ExpressionConversions

  32. implicit def floatToLiteral(f: Float): Literal

    Definition Classes
    ExpressionConversions

  33. lazy val functionRegistry: HiveFunctionRegistry with OverrideFunctionRegistry

    Attributes
    protected[org.apache.spark.sql]
    Definition Classes
    HiveContext → SQLContext

  34. def getAllConfs: Map[String, String]

    Return all the configuration properties that have been set (i.

    Return all the configuration properties that have been set (i.e. not the default). This creates a new copy of the config properties in the form of a Map.

    Definition Classes
    SQLConf

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

    Definition Classes
    AnyRef → Any

  36. def getConf(key: String, defaultValue: String): String

    Return the value of Spark SQL configuration property for the given key.

    Return the value of Spark SQL configuration property for the given key. If the key is not set yet, return defaultValue.

    Definition Classes
    SQLConf

  37. def getConf(key: String): String

    Return the value of Spark SQL configuration property for the given key.

    Return the value of Spark SQL configuration property for the given key.

    Definition Classes
    SQLConf

  38. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  39. val hivePlanner: SparkPlanner with HiveStrategies

  40. lazy val hiveconf: HiveConf

    SQLConf and HiveConf contracts: when the hive session is first initialized, params in HiveConf will get picked up by the SQLConf.

    SQLConf and HiveConf contracts: when the hive session is first initialized, params in HiveConf will get picked up by the SQLConf. Additionally, any properties set by set() or a SET command inside sql() will be set in the SQLConf *as well as* in the HiveConf.

    Attributes
    protected[org.apache.spark.sql.hive]

  41. implicit def intToLiteral(i: Int): Literal

    Definition Classes
    ExpressionConversions

  42. def isCached(tableName: String): Boolean

    Returns true if the table is currently cached in-memory.

    Returns true if the table is currently cached in-memory.

    Definition Classes
    SQLContext

  43. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  44. def isTraceEnabled(): Boolean

    Attributes
    protected
    Definition Classes
    Logging

  45. def jsonFile(path: String, samplingRatio: Double): SchemaRDD

    :: Experimental ::

    :: Experimental ::

    Definition Classes
    SQLContext
    Annotations
    @Experimental()

  46. def jsonFile(path: String, schema: StructType): SchemaRDD

    :: Experimental :: Loads a JSON file (one object per line) and applies the given schema, returning the result as a SchemaRDD.

    :: Experimental :: Loads a JSON file (one object per line) and applies the given schema, returning the result as a SchemaRDD.

    Definition Classes
    SQLContext
    Annotations
    @Experimental()

  47. def jsonFile(path: String): SchemaRDD

    Loads a JSON file (one object per line), returning the result as a SchemaRDD.

    Loads a JSON file (one object per line), returning the result as a SchemaRDD. It goes through the entire dataset once to determine the schema.

    Definition Classes
    SQLContext

  48. def jsonRDD(json: RDD[String], samplingRatio: Double): SchemaRDD

    :: Experimental ::

    :: Experimental ::

    Definition Classes
    SQLContext
    Annotations
    @Experimental()

  49. def jsonRDD(json: RDD[String], schema: StructType): SchemaRDD

    :: Experimental :: Loads an RDD[String] storing JSON objects (one object per record) and applies the given schema, returning the result as a SchemaRDD.

    :: Experimental :: Loads an RDD[String] storing JSON objects (one object per record) and applies the given schema, returning the result as a SchemaRDD.

    Definition Classes
    SQLContext
    Annotations
    @Experimental()

  50. def jsonRDD(json: RDD[String]): SchemaRDD

    Loads an RDD[String] storing JSON objects (one object per record), returning the result as a SchemaRDD.

    Loads an RDD[String] storing JSON objects (one object per record), returning the result as a SchemaRDD. It goes through the entire dataset once to determine the schema.

    Definition Classes
    SQLContext

  51. def log: Logger

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

  53. def logDebug(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

  55. def logError(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

  57. def logInfo(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging

  58. def logName: String

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

  60. def logTrace(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

  63. implicit def logicalPlanToSparkQuery(plan: LogicalPlan): SchemaRDD

    :: DeveloperApi :: Allows catalyst LogicalPlans to be executed as a SchemaRDD.

    :: DeveloperApi :: Allows catalyst LogicalPlans to be executed as a SchemaRDD. Note that the LogicalPlan interface is considered internal, and thus not guaranteed to be stable. As a result, using them directly is not recommended.

    Definition Classes
    SQLContext
    Annotations
    @DeveloperApi()

  64. implicit def longToLiteral(l: Long): Literal

    Definition Classes
    ExpressionConversions

  65. def lower(e: Expression): Lower

    Definition Classes
    ExpressionConversions

  66. def max(e: Expression): Max

    Definition Classes
    ExpressionConversions

  67. def min(e: Expression): Min

    Definition Classes
    ExpressionConversions

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

    Definition Classes
    AnyRef

  69. final def notify(): Unit

    Definition Classes
    AnyRef

  70. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  71. val optimizer: Optimizer.type

    Attributes
    protected[org.apache.spark.sql]
    Definition Classes
    SQLContext

  72. lazy val outputBuffer: OutputStream { ... /* 4 definitions in type refinement */ }

    Attributes
    protected

  73. def parquetFile(path: String): SchemaRDD

    Loads a Parquet file, returning the result as a SchemaRDD.

    Loads a Parquet file, returning the result as a SchemaRDD.

    Definition Classes
    SQLContext

  74. def parseSql(sql: String): LogicalPlan

    Attributes
    protected[org.apache.spark.sql]
    Definition Classes
    SQLContext

  75. val parser: SqlParser

    Attributes
    protected[org.apache.spark.sql]
    Definition Classes
    SQLContext

  76. val planner: SparkPlanner with HiveStrategies

    Attributes
    protected[org.apache.spark.sql]
    Definition Classes
    HiveContext → SQLContext

  77. val prepareForExecution: RuleExecutor[SparkPlan] { val batches: List[this.Batch] }

    Prepares a planned SparkPlan for execution by inserting shuffle operations as needed.

    Prepares a planned SparkPlan for execution by inserting shuffle operations as needed.

    Attributes
    protected[org.apache.spark.sql]
    Definition Classes
    SQLContext

  78. def registerFunction[T](name: String, func: Function22[_, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, T])(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[T]): Unit

    Definition Classes
    UDFRegistration

  79. def registerFunction[T](name: String, func: Function21[_, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, T])(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[T]): Unit

    Definition Classes
    UDFRegistration

  80. def registerFunction[T](name: String, func: Function20[_, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, T])(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[T]): Unit

    Definition Classes
    UDFRegistration

  81. def registerFunction[T](name: String, func: Function19[_, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, T])(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[T]): Unit

    Definition Classes
    UDFRegistration

  82. def registerFunction[T](name: String, func: Function18[_, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, T])(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[T]): Unit

    Definition Classes
    UDFRegistration

  83. def registerFunction[T](name: String, func: Function17[_, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, T])(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[T]): Unit

    Definition Classes
    UDFRegistration

  84. def registerFunction[T](name: String, func: Function16[_, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, T])(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[T]): Unit

    Definition Classes
    UDFRegistration

  85. def registerFunction[T](name: String, func: Function15[_, _, _, _, _, _, _, _, _, _, _, _, _, _, _, T])(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[T]): Unit

    Definition Classes
    UDFRegistration

  86. def registerFunction[T](name: String, func: Function14[_, _, _, _, _, _, _, _, _, _, _, _, _, _, T])(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[T]): Unit

    Definition Classes
    UDFRegistration

  87. def registerFunction[T](name: String, func: Function13[_, _, _, _, _, _, _, _, _, _, _, _, _, T])(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[T]): Unit

    Definition Classes
    UDFRegistration

  88. def registerFunction[T](name: String, func: Function12[_, _, _, _, _, _, _, _, _, _, _, _, T])(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[T]): Unit

    Definition Classes
    UDFRegistration

  89. def registerFunction[T](name: String, func: Function11[_, _, _, _, _, _, _, _, _, _, _, T])(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[T]): Unit

    Definition Classes
    UDFRegistration

  90. def registerFunction[T](name: String, func: Function10[_, _, _, _, _, _, _, _, _, _, T])(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[T]): Unit

    Definition Classes
    UDFRegistration

  91. def registerFunction[T](name: String, func: Function9[_, _, _, _, _, _, _, _, _, T])(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[T]): Unit

    Definition Classes
    UDFRegistration

  92. def registerFunction[T](name: String, func: Function8[_, _, _, _, _, _, _, _, T])(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[T]): Unit

    Definition Classes
    UDFRegistration

  93. def registerFunction[T](name: String, func: Function7[_, _, _, _, _, _, _, T])(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[T]): Unit

    Definition Classes
    UDFRegistration

  94. def registerFunction[T](name: String, func: Function6[_, _, _, _, _, _, T])(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[T]): Unit

    Definition Classes
    UDFRegistration

  95. def registerFunction[T](name: String, func: Function5[_, _, _, _, _, T])(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[T]): Unit

    Definition Classes
    UDFRegistration

  96. def registerFunction[T](name: String, func: Function4[_, _, _, _, T])(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[T]): Unit

    Definition Classes
    UDFRegistration

  97. def registerFunction[T](name: String, func: Function3[_, _, _, T])(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[T]): Unit

    Definition Classes
    UDFRegistration

  98. def registerFunction[T](name: String, func: Function2[_, _, T])(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[T]): Unit

    Definition Classes
    UDFRegistration

  99. def registerFunction[T](name: String, func: Function1[_, T])(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[T]): Unit

    registerFunction 1-22 were generated by this script

    registerFunction 1-22 were generated by this script

    (1 to 22).map { x => val types = (1 to x).map(x => "_").reduce(_ + ", " + _) s""" def registerFunction[T: TypeTag](name: String, func: Function$x[$types, T]): Unit = { def builder(e: Seq[Expression]) = ScalaUdf(func, ScalaReflection.schemaFor(typeTag[T]).dataType, e) functionRegistry.registerFunction(name, builder) } """ }

    Definition Classes
    UDFRegistration

  100. def registerRDDAsTable(rdd: SchemaRDD, tableName: String): Unit

    Registers the given RDD as a temporary table in the catalog.

    Registers the given RDD as a temporary table in the catalog. Temporary tables exist only during the lifetime of this instance of SQLContext.

    Definition Classes
    SQLContext

  101. def runHive(cmd: String, maxRows: Int = 1000): Seq[String]

    Execute the command using Hive and return the results as a sequence.

    Execute the command using Hive and return the results as a sequence. Each element in the sequence is one row.

    Attributes
    protected

  102. def runSqlHive(sql: String): Seq[String]

    Runs the specified SQL query using Hive.

    Runs the specified SQL query using Hive.

    Attributes
    protected[org.apache.spark.sql]

  103. lazy val sessionState: SessionState

    Attributes
    protected[org.apache.spark.sql.hive]

  104. def setConf(key: String, value: String): Unit

    Set the given Spark SQL configuration property.

    Set the given Spark SQL configuration property.

    Definition Classes
    HiveContext → SQLConf

  105. def setConf(props: Properties): Unit

    Set Spark SQL configuration properties.

    Set Spark SQL configuration properties.

    Definition Classes
    SQLConf

  106. val settings: Map[String, String]

    Only low degree of contention is expected for conf, thus NOT using ConcurrentHashMap.

    Only low degree of contention is expected for conf, thus NOT using ConcurrentHashMap.

    Attributes
    protected[org.apache.spark]
    Definition Classes
    SQLConf

  107. implicit def shortToLiteral(s: Short): Literal

    Definition Classes
    ExpressionConversions

  108. val sparkContext: SparkContext

    Definition Classes
    SQLContext

  109. def sql(sqlText: String): SchemaRDD

    Executes a SQL query using Spark, returning the result as a SchemaRDD.

    Executes a SQL query using Spark, returning the result as a SchemaRDD. The dialect that is used for SQL parsing can be configured with 'spark.sql.dialect'.

    Definition Classes
    HiveContext → SQLContext

  110. implicit def stringToLiteral(s: String): Literal

    Definition Classes
    ExpressionConversions

  111. def sum(e: Expression): Sum

    Definition Classes
    ExpressionConversions

  112. def sumDistinct(e: Expression): SumDistinct

    Definition Classes
    ExpressionConversions

  113. implicit def symbolToUnresolvedAttribute(s: Symbol): UnresolvedAttribute

    Definition Classes
    ExpressionConversions

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

    Definition Classes
    AnyRef

  115. def table(tableName: String): SchemaRDD

    Returns the specified table as a SchemaRDD

    Returns the specified table as a SchemaRDD

    Definition Classes
    SQLContext

  116. implicit def timestampToLiteral(t: Timestamp): Literal

    Definition Classes
    ExpressionConversions

  117. def toString(): String

    Definition Classes
    AnyRef → Any

  118. def uncacheTable(tableName: String): Unit

    Removes the specified table from the in-memory cache.

    Removes the specified table from the in-memory cache.

    Definition Classes
    SQLContext

  119. def upper(e: Expression): Upper

    Definition Classes
    ExpressionConversions

  120. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Deprecated Value Members

  1. def hiveql(hqlQuery: String): SchemaRDD

    Annotations
    @deprecated
    Deprecated

    (Since version 1.1)

  2. def hql(hqlQuery: String): SchemaRDD

    Annotations
    @deprecated
    Deprecated

    (Since version 1.1)

Inherited from SQLContext

Inherited from Serializable

Inherited from Serializable

Inherited from UDFRegistration

Inherited from ExpressionConversions

Inherited from SQLConf

Inherited from Logging

Inherited from AnyRef

Inherited from Any

Spark SQL Functions

Ungrouped