diff options
author | Michael Armbrust <michael@databricks.com> | 2014-04-22 20:02:33 -0700 |
---|---|---|
committer | Patrick Wendell <pwendell@gmail.com> | 2014-04-22 20:02:47 -0700 |
commit | 0e03e6ad44d1c10d8a9cea0b3041d23733485ba3 (patch) | |
tree | 880ffff6a0b13733a1c110628af2aba760d2d629 /sql | |
parent | 61930bdc60c4dbcc11b77151fb088892ca076350 (diff) | |
download | spark-0e03e6ad44d1c10d8a9cea0b3041d23733485ba3.tar.gz spark-0e03e6ad44d1c10d8a9cea0b3041d23733485ba3.tar.bz2 spark-0e03e6ad44d1c10d8a9cea0b3041d23733485ba3.zip |
SPARK-1562 Fix visibility / annotation of Spark SQL APIs
Author: Michael Armbrust <michael@databricks.com>
Closes #489 from marmbrus/sqlDocFixes and squashes the following commits:
acee4f3 [Michael Armbrust] Fix visibility / annotation of Spark SQL APIs
(cherry picked from commit aa77f8a6a604efe0d02bc8412b3f1ba3903b7a57)
Signed-off-by: Patrick Wendell <pwendell@gmail.com>
Diffstat (limited to 'sql')
31 files changed, 141 insertions, 57 deletions
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/SchemaRDDLike.scala b/sql/core/src/main/scala/org/apache/spark/sql/SchemaRDDLike.scala index a390ab6005..3a895e15a4 100644 --- a/sql/core/src/main/scala/org/apache/spark/sql/SchemaRDDLike.scala +++ b/sql/core/src/main/scala/org/apache/spark/sql/SchemaRDDLike.scala @@ -24,7 +24,7 @@ import org.apache.spark.sql.catalyst.plans.logical._ /** * Contains functions that are shared between all SchemaRDD types (i.e., Scala, Java) */ -trait SchemaRDDLike { +private[sql] trait SchemaRDDLike { @transient val sqlContext: SQLContext @transient protected[spark] val logicalPlan: LogicalPlan diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/Aggregate.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/Aggregate.scala index 3a4f071eeb..36b3b956da 100644 --- a/sql/core/src/main/scala/org/apache/spark/sql/execution/Aggregate.scala +++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/Aggregate.scala @@ -19,12 +19,14 @@ package org.apache.spark.sql.execution import java.util.HashMap +import org.apache.spark.annotation.DeveloperApi import org.apache.spark.SparkContext import org.apache.spark.sql.catalyst.errors._ import org.apache.spark.sql.catalyst.expressions._ import org.apache.spark.sql.catalyst.plans.physical._ /** + * :: DeveloperApi :: * Groups input data by `groupingExpressions` and computes the `aggregateExpressions` for each * group. * @@ -34,6 +36,7 @@ import org.apache.spark.sql.catalyst.plans.physical._ * @param aggregateExpressions expressions that are computed for each group. * @param child the input data source. */ +@DeveloperApi case class Aggregate( partial: Boolean, groupingExpressions: Seq[Expression], diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/Exchange.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/Exchange.scala index 070557e47c..3b4acb72e8 100644 --- a/sql/core/src/main/scala/org/apache/spark/sql/execution/Exchange.scala +++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/Exchange.scala @@ -17,6 +17,7 @@ package org.apache.spark.sql.execution +import org.apache.spark.annotation.DeveloperApi import org.apache.spark.{HashPartitioner, RangePartitioner, SparkConf} import org.apache.spark.rdd.ShuffledRDD import org.apache.spark.sql.Row @@ -26,6 +27,10 @@ import org.apache.spark.sql.catalyst.plans.physical._ import org.apache.spark.sql.catalyst.rules.Rule import org.apache.spark.util.MutablePair +/** + * :: DeveloperApi :: + */ +@DeveloperApi case class Exchange(newPartitioning: Partitioning, child: SparkPlan) extends UnaryNode { override def outputPartitioning = newPartitioning @@ -81,7 +86,7 @@ case class Exchange(newPartitioning: Partitioning, child: SparkPlan) extends Una * [[catalyst.plans.physical.Distribution Distribution]] requirements for each operator by inserting * [[Exchange]] Operators where required. */ -object AddExchange extends Rule[SparkPlan] { +private[sql] object AddExchange extends Rule[SparkPlan] { // TODO: Determine the number of partitions. val numPartitions = 150 diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/Generate.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/Generate.scala index cff4887936..da1e08be59 100644 --- a/sql/core/src/main/scala/org/apache/spark/sql/execution/Generate.scala +++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/Generate.scala @@ -17,9 +17,11 @@ package org.apache.spark.sql.execution +import org.apache.spark.annotation.DeveloperApi import org.apache.spark.sql.catalyst.expressions.{Generator, JoinedRow, Literal, Projection} /** + * :: DeveloperApi :: * Applies a [[catalyst.expressions.Generator Generator]] to a stream of input rows, combining the * output of each into a new stream of rows. This operation is similar to a `flatMap` in functional * programming with one important additional feature, which allows the input rows to be joined with @@ -29,6 +31,7 @@ import org.apache.spark.sql.catalyst.expressions.{Generator, JoinedRow, Literal, * @param outer when true, each input row will be output at least once, even if the output of the * given `generator` is empty. `outer` has no effect when `join` is false. */ +@DeveloperApi case class Generate( generator: Generator, join: Boolean, diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkPlan.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkPlan.scala index 5d89697db5..50124dd407 100644 --- a/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkPlan.scala +++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkPlan.scala @@ -17,6 +17,7 @@ package org.apache.spark.sql.execution +import org.apache.spark.annotation.DeveloperApi import org.apache.spark.rdd.RDD import org.apache.spark.sql.{Logging, Row} import org.apache.spark.sql.catalyst.trees @@ -26,6 +27,10 @@ import org.apache.spark.sql.catalyst.plans.{QueryPlan, logical} import org.apache.spark.sql.catalyst.plans.physical._ import org.apache.spark.sql.columnar.InMemoryColumnarTableScan +/** + * :: DeveloperApi :: + */ +@DeveloperApi abstract class SparkPlan extends QueryPlan[SparkPlan] with Logging { self: Product => @@ -51,6 +56,7 @@ abstract class SparkPlan extends QueryPlan[SparkPlan] with Logging { } /** + * :: DeveloperApi :: * Allows already planned SparkQueries to be linked into logical query plans. * * Note that in general it is not valid to use this class to link multiple copies of the same @@ -59,6 +65,7 @@ abstract class SparkPlan extends QueryPlan[SparkPlan] with Logging { * replace the output attributes with new copies of themselves without breaking any attribute * linking. */ +@DeveloperApi case class SparkLogicalPlan(alreadyPlanned: SparkPlan) extends logical.LogicalPlan with MultiInstanceRelation { @@ -77,15 +84,15 @@ case class SparkLogicalPlan(alreadyPlanned: SparkPlan) } } -trait LeafNode extends SparkPlan with trees.LeafNode[SparkPlan] { +private[sql] trait LeafNode extends SparkPlan with trees.LeafNode[SparkPlan] { self: Product => } -trait UnaryNode extends SparkPlan with trees.UnaryNode[SparkPlan] { +private[sql] trait UnaryNode extends SparkPlan with trees.UnaryNode[SparkPlan] { self: Product => override def outputPartitioning: Partitioning = child.outputPartitioning } -trait BinaryNode extends SparkPlan with trees.BinaryNode[SparkPlan] { +private[sql] trait BinaryNode extends SparkPlan with trees.BinaryNode[SparkPlan] { self: Product => } diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkSqlSerializer.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkSqlSerializer.scala index c30ae5bcc0..5067c14ddf 100644 --- a/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkSqlSerializer.scala +++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkSqlSerializer.scala @@ -27,7 +27,7 @@ import org.apache.spark.serializer.KryoSerializer import org.apache.spark.util.MutablePair import org.apache.spark.util.Utils -class SparkSqlSerializer(conf: SparkConf) extends KryoSerializer(conf) { +private[sql] class SparkSqlSerializer(conf: SparkConf) extends KryoSerializer(conf) { override def newKryo(): Kryo = { val kryo = new Kryo() kryo.setRegistrationRequired(false) @@ -50,7 +50,7 @@ class SparkSqlSerializer(conf: SparkConf) extends KryoSerializer(conf) { } } -object SparkSqlSerializer { +private[sql] object SparkSqlSerializer { // TODO (lian) Using KryoSerializer here is workaround, needs further investigation // Using SparkSqlSerializer here makes BasicQuerySuite to fail because of Kryo serialization // related error. @@ -68,7 +68,7 @@ object SparkSqlSerializer { } } -class BigDecimalSerializer extends Serializer[BigDecimal] { +private[sql] class BigDecimalSerializer extends Serializer[BigDecimal] { def write(kryo: Kryo, output: Output, bd: math.BigDecimal) { // TODO: There are probably more efficient representations than strings... output.writeString(bd.toString()) @@ -83,7 +83,7 @@ class BigDecimalSerializer extends Serializer[BigDecimal] { * Maps do not have a no arg constructor and so cannot be serialized by default. So, we serialize * them as `Array[(k,v)]`. */ -class MapSerializer extends Serializer[Map[_,_]] { +private[sql] class MapSerializer extends Serializer[Map[_,_]] { def write(kryo: Kryo, output: Output, map: Map[_,_]) { kryo.writeObject(output, map.flatMap(e => Seq(e._1, e._2)).toArray) } diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkStrategies.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkStrategies.scala index fe8bd5a508..500fde1971 100644 --- a/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkStrategies.scala +++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkStrategies.scala @@ -25,7 +25,7 @@ import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan import org.apache.spark.sql.catalyst.plans.physical._ import org.apache.spark.sql.parquet._ -abstract class SparkStrategies extends QueryPlanner[SparkPlan] { +private[sql] abstract class SparkStrategies extends QueryPlanner[SparkPlan] { self: SQLContext#SparkPlanner => object HashJoin extends Strategy { diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/basicOperators.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/basicOperators.scala index eedcc7dda0..e4cf2020a1 100644 --- a/sql/core/src/main/scala/org/apache/spark/sql/execution/basicOperators.scala +++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/basicOperators.scala @@ -19,6 +19,7 @@ package org.apache.spark.sql.execution import scala.reflect.runtime.universe.TypeTag +import org.apache.spark.annotation.DeveloperApi import org.apache.spark.{HashPartitioner, SparkConf, SparkContext} import org.apache.spark.rdd.{RDD, ShuffledRDD} import org.apache.spark.sql.catalyst.ScalaReflection @@ -27,6 +28,10 @@ import org.apache.spark.sql.catalyst.expressions._ import org.apache.spark.sql.catalyst.plans.physical.{OrderedDistribution, UnspecifiedDistribution} import org.apache.spark.util.MutablePair +/** + * :: DeveloperApi :: + */ +@DeveloperApi case class Project(projectList: Seq[NamedExpression], child: SparkPlan) extends UnaryNode { override def output = projectList.map(_.toAttribute) @@ -36,6 +41,10 @@ case class Project(projectList: Seq[NamedExpression], child: SparkPlan) extends } } +/** + * :: DeveloperApi :: + */ +@DeveloperApi case class Filter(condition: Expression, child: SparkPlan) extends UnaryNode { override def output = child.output @@ -44,6 +53,10 @@ case class Filter(condition: Expression, child: SparkPlan) extends UnaryNode { } } +/** + * :: DeveloperApi :: + */ +@DeveloperApi case class Sample(fraction: Double, withReplacement: Boolean, seed: Int, child: SparkPlan) extends UnaryNode { @@ -53,6 +66,10 @@ case class Sample(fraction: Double, withReplacement: Boolean, seed: Int, child: override def execute() = child.execute().sample(withReplacement, fraction, seed) } +/** + * :: DeveloperApi :: + */ +@DeveloperApi case class Union(children: Seq[SparkPlan])(@transient sc: SparkContext) extends SparkPlan { // TODO: attributes output by union should be distinct for nullability purposes override def output = children.head.output @@ -62,12 +79,14 @@ case class Union(children: Seq[SparkPlan])(@transient sc: SparkContext) extends } /** + * :: DeveloperApi :: * Take the first limit elements. Note that the implementation is different depending on whether * this is a terminal operator or not. If it is terminal and is invoked using executeCollect, * this operator uses Spark's take method on the Spark driver. If it is not terminal or is * invoked using execute, we first take the limit on each partition, and then repartition all the * data to a single partition to compute the global limit. */ +@DeveloperApi case class Limit(limit: Int, child: SparkPlan)(@transient sc: SparkContext) extends UnaryNode { // TODO: Implement a partition local limit, and use a strategy to generate the proper limit plan: // partition local limit -> exchange into one partition -> partition local limit again @@ -91,10 +110,12 @@ case class Limit(limit: Int, child: SparkPlan)(@transient sc: SparkContext) exte } /** + * :: DeveloperApi :: * Take the first limit elements as defined by the sortOrder. This is logically equivalent to * having a [[Limit]] operator after a [[Sort]] operator. This could have been named TopK, but * Spark's top operator does the opposite in ordering so we name it TakeOrdered to avoid confusion. */ +@DeveloperApi case class TakeOrdered(limit: Int, sortOrder: Seq[SortOrder], child: SparkPlan) (@transient sc: SparkContext) extends UnaryNode { override def otherCopyArgs = sc :: Nil @@ -111,7 +132,10 @@ case class TakeOrdered(limit: Int, sortOrder: Seq[SortOrder], child: SparkPlan) override def execute() = sc.makeRDD(executeCollect(), 1) } - +/** + * :: DeveloperApi :: + */ +@DeveloperApi case class Sort( sortOrder: Seq[SortOrder], global: Boolean, @@ -134,6 +158,10 @@ case class Sort( override def output = child.output } +/** + * :: DeveloperApi :: + */ +@DeveloperApi object ExistingRdd { def convertToCatalyst(a: Any): Any = a match { case s: Seq[Any] => s.map(convertToCatalyst) @@ -167,6 +195,10 @@ object ExistingRdd { } } +/** + * :: DeveloperApi :: + */ +@DeveloperApi case class ExistingRdd(output: Seq[Attribute], rdd: RDD[Row]) extends LeafNode { override def execute() = rdd } diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/debug.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/debug.scala index 40982f1fff..a0d29100f5 100644 --- a/sql/core/src/main/scala/org/apache/spark/sql/execution/debug.scala +++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/debug.scala @@ -17,7 +17,7 @@ package org.apache.spark.sql.execution -object DebugQuery { +private[sql] object DebugQuery { def apply(plan: SparkPlan): SparkPlan = { val visited = new collection.mutable.HashSet[Long]() plan transform { @@ -28,7 +28,7 @@ object DebugQuery { } } -case class DebugNode(child: SparkPlan) extends UnaryNode { +private[sql] case class DebugNode(child: SparkPlan) extends UnaryNode { def references = Set.empty def output = child.output def execute() = { diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/joins.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/joins.scala index c89dae9358..31cc26962a 100644 --- a/sql/core/src/main/scala/org/apache/spark/sql/execution/joins.scala +++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/joins.scala @@ -21,14 +21,24 @@ import scala.collection.mutable.{ArrayBuffer, BitSet} import org.apache.spark.SparkContext +import org.apache.spark.annotation.DeveloperApi import org.apache.spark.sql.catalyst.expressions._ import org.apache.spark.sql.catalyst.plans._ import org.apache.spark.sql.catalyst.plans.physical.{ClusteredDistribution, Partitioning} +@DeveloperApi sealed abstract class BuildSide + +@DeveloperApi case object BuildLeft extends BuildSide + +@DeveloperApi case object BuildRight extends BuildSide +/** + * :: DeveloperApi :: + */ +@DeveloperApi case class HashJoin( leftKeys: Seq[Expression], rightKeys: Seq[Expression], @@ -130,6 +140,10 @@ case class HashJoin( } } +/** + * :: DeveloperApi :: + */ +@DeveloperApi case class CartesianProduct(left: SparkPlan, right: SparkPlan) extends BinaryNode { def output = left.output ++ right.output @@ -138,6 +152,10 @@ case class CartesianProduct(left: SparkPlan, right: SparkPlan) extends BinaryNod } } +/** + * :: DeveloperApi :: + */ +@DeveloperApi case class BroadcastNestedLoopJoin( streamed: SparkPlan, broadcast: SparkPlan, joinType: JoinType, condition: Option[Expression]) (@transient sc: SparkContext) diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/package.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/package.scala index e4a2dec332..66237f8f13 100644 --- a/sql/core/src/main/scala/org/apache/spark/sql/execution/package.scala +++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/package.scala @@ -18,6 +18,7 @@ package org.apache.spark.sql /** + * :: DeveloperApi :: * An execution engine for relational query plans that runs on top Spark and returns RDDs. * * Note that the operators in this package are created automatically by a query planner using a diff --git a/sql/core/src/main/scala/org/apache/spark/sql/parquet/ParquetTestData.scala b/sql/core/src/main/scala/org/apache/spark/sql/parquet/ParquetTestData.scala index 728e3dd1dc..f37976f731 100644 --- a/sql/core/src/main/scala/org/apache/spark/sql/parquet/ParquetTestData.scala +++ b/sql/core/src/main/scala/org/apache/spark/sql/parquet/ParquetTestData.scala @@ -28,7 +28,7 @@ import parquet.schema.{MessageType, MessageTypeParser} import org.apache.spark.sql.catalyst.expressions.GenericRow import org.apache.spark.util.Utils -object ParquetTestData { +private[sql] object ParquetTestData { val testSchema = """message myrecord { diff --git a/sql/hive/src/main/scala/org/apache/spark/SparkHadoopWriter.scala b/sql/hive/src/main/scala/org/apache/spark/SparkHadoopWriter.scala index 7219c030cb..ab7862f4f9 100644 --- a/sql/hive/src/main/scala/org/apache/spark/SparkHadoopWriter.scala +++ b/sql/hive/src/main/scala/org/apache/spark/SparkHadoopWriter.scala @@ -15,7 +15,7 @@ * limitations under the License. */ -package org.apache.spark +package org.apache.spark.sql.hive import java.io.IOException import java.text.NumberFormat @@ -28,12 +28,13 @@ import org.apache.hadoop.hive.ql.plan.FileSinkDesc import org.apache.hadoop.mapred._ import org.apache.hadoop.io.Writable +import org.apache.spark.{Logging, SerializableWritable, SparkHadoopWriter} + /** * Internal helper class that saves an RDD using a Hive OutputFormat. * It is based on [[SparkHadoopWriter]]. */ -protected[spark] -class SparkHiveHadoopWriter( +private[hive] class SparkHiveHadoopWriter( @transient jobConf: JobConf, fileSinkConf: FileSinkDesc) extends Logging @@ -179,7 +180,7 @@ class SparkHiveHadoopWriter( } } -object SparkHiveHadoopWriter { +private[hive] object SparkHiveHadoopWriter { def createPathFromString(path: String, conf: JobConf): Path = { if (path == null) { throw new IllegalArgumentException("Output path is null") diff --git a/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveMetastoreCatalog.scala b/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveMetastoreCatalog.scala index ca75cecf7d..6c907887db 100644 --- a/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveMetastoreCatalog.scala +++ b/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveMetastoreCatalog.scala @@ -34,12 +34,13 @@ import org.apache.spark.sql.catalyst.plans.logical._ import org.apache.spark.sql.catalyst.rules._ import org.apache.spark.sql.catalyst.types._ import org.apache.spark.sql.execution.SparkLogicalPlan +import org.apache.spark.sql.hive.execution.{HiveTableScan, InsertIntoHiveTable} import org.apache.spark.sql.columnar.InMemoryColumnarTableScan /* Implicit conversions */ import scala.collection.JavaConversions._ -class HiveMetastoreCatalog(hive: HiveContext) extends Catalog with Logging { +private[hive] class HiveMetastoreCatalog(hive: HiveContext) extends Catalog with Logging { import HiveMetastoreTypes._ val client = Hive.get(hive.hiveconf) @@ -171,7 +172,7 @@ class HiveMetastoreCatalog(hive: HiveContext) extends Catalog with Logging { override def unregisterAllTables() = {} } -object HiveMetastoreTypes extends RegexParsers { +private[hive] object HiveMetastoreTypes extends RegexParsers { protected lazy val primitiveType: Parser[DataType] = "string" ^^^ StringType | "float" ^^^ FloatType | @@ -229,7 +230,8 @@ object HiveMetastoreTypes extends RegexParsers { } } -case class MetastoreRelation(databaseName: String, tableName: String, alias: Option[String]) +private[hive] case class MetastoreRelation + (databaseName: String, tableName: String, alias: Option[String]) (val table: TTable, val partitions: Seq[TPartition]) extends BaseRelation { // TODO: Can we use org.apache.hadoop.hive.ql.metadata.Table as the type of table and diff --git a/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveQl.scala b/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveQl.scala index 4dac25b3f6..1777e96b67 100644 --- a/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveQl.scala +++ b/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveQl.scala @@ -36,20 +36,20 @@ import scala.collection.JavaConversions._ * back for Hive to execute natively. Will be replaced with a native command that contains the * cmd string. */ -case object NativePlaceholder extends Command +private[hive] case object NativePlaceholder extends Command -case class DfsCommand(cmd: String) extends Command +private[hive] case class DfsCommand(cmd: String) extends Command -case class ShellCommand(cmd: String) extends Command +private[hive] case class ShellCommand(cmd: String) extends Command -case class SourceCommand(filePath: String) extends Command +private[hive] case class SourceCommand(filePath: String) extends Command -case class AddJar(jarPath: String) extends Command +private[hive] case class AddJar(jarPath: String) extends Command -case class AddFile(filePath: String) extends Command +private[hive] case class AddFile(filePath: String) extends Command /** Provides a mapping from HiveQL statements to catalyst logical plans and expression trees. */ -object HiveQl { +private[hive] object HiveQl { protected val nativeCommands = Seq( "TOK_DESCFUNCTION", "TOK_DESCTABLE", diff --git a/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveStrategies.scala b/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveStrategies.scala index ac817b21a1..d9a6e0e889 100644 --- a/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveStrategies.scala +++ b/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveStrategies.scala @@ -23,9 +23,10 @@ import org.apache.spark.sql.catalyst.planning._ import org.apache.spark.sql.catalyst.plans._ import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan import org.apache.spark.sql.execution._ +import org.apache.spark.sql.hive.execution._ import org.apache.spark.sql.columnar.InMemoryColumnarTableScan -trait HiveStrategies { +private[hive] trait HiveStrategies { // Possibly being too clever with types here... or not clever enough. self: SQLContext#SparkPlanner => diff --git a/sql/hive/src/main/scala/org/apache/spark/sql/hive/ScriptTransformation.scala b/sql/hive/src/main/scala/org/apache/spark/sql/hive/ScriptTransformation.scala index 2610100043..610fa9cb84 100644 --- a/sql/hive/src/main/scala/org/apache/spark/sql/hive/ScriptTransformation.scala +++ b/sql/hive/src/main/scala/org/apache/spark/sql/hive/ScriptTransformation.scala @@ -15,23 +15,27 @@ * limitations under the License. */ -package org.apache.spark.sql.hive +package org.apache.spark.sql.hive.execution import java.io.{BufferedReader, InputStreamReader} +import org.apache.spark.annotation.DeveloperApi import org.apache.spark.sql.catalyst.expressions._ import org.apache.spark.sql.execution._ +import org.apache.spark.sql.hive.HiveContext /* Implicit conversions */ import scala.collection.JavaConversions._ /** + * :: DeveloperApi :: * Transforms the input by forking and running the specified script. * * @param input the set of expression that should be passed to the script. * @param script the command that should be executed. * @param output the attributes that are produced by the script. */ +@DeveloperApi case class ScriptTransformation( input: Seq[Expression], script: String, diff --git a/sql/hive/src/main/scala/org/apache/spark/sql/hive/TestHive.scala b/sql/hive/src/main/scala/org/apache/spark/sql/hive/TestHive.scala index b1a26fdabb..74110ee27b 100644 --- a/sql/hive/src/main/scala/org/apache/spark/sql/hive/TestHive.scala +++ b/sql/hive/src/main/scala/org/apache/spark/sql/hive/TestHive.scala @@ -15,7 +15,7 @@ * limitations under the License. */ -package org.apache.spark.sql.hive +package org.apache.spark.sql.hive.test import java.io.File import java.util.{Set => JavaSet} @@ -34,6 +34,7 @@ import org.apache.spark.{SparkConf, SparkContext} import org.apache.spark.sql.catalyst.analysis._ import org.apache.spark.sql.catalyst.plans.logical.{LogicalPlan, NativeCommand} import org.apache.spark.sql.catalyst.util._ +import org.apache.spark.sql.hive._ /* Implicit conversions */ import scala.collection.JavaConversions._ diff --git a/sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveOperators.scala b/sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveOperators.scala index 821fb22112..96faebc5a8 100644 --- a/sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveOperators.scala +++ b/sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveOperators.scala @@ -15,7 +15,7 @@ * limitations under the License. */ -package org.apache.spark.sql.hive +package org.apache.spark.sql.hive.execution import org.apache.hadoop.hive.common.`type`.{HiveDecimal, HiveVarchar} import org.apache.hadoop.hive.metastore.MetaStoreUtils @@ -30,23 +30,26 @@ import org.apache.hadoop.hive.serde2.objectinspector.primitive.JavaHiveVarcharOb import org.apache.hadoop.io.Writable import org.apache.hadoop.mapred._ +import org.apache.spark.annotation.DeveloperApi import org.apache.spark.rdd.RDD import org.apache.spark.sql.catalyst.expressions._ import org.apache.spark.sql.catalyst.types.{BooleanType, DataType} import org.apache.spark.sql.execution._ -import org.apache.spark.{SparkHiveHadoopWriter, TaskContext, SparkException} +import org.apache.spark.sql.hive._ +import org.apache.spark.{TaskContext, SparkException} /* Implicits */ import scala.collection.JavaConversions._ /** + * :: DeveloperApi :: * The Hive table scan operator. Column and partition pruning are both handled. * - * @constructor * @param attributes Attributes to be fetched from the Hive table. * @param relation The Hive table be be scanned. * @param partitionPruningPred An optional partition pruning predicate for partitioned table. */ +@DeveloperApi case class HiveTableScan( attributes: Seq[Attribute], relation: MetastoreRelation, @@ -160,6 +163,10 @@ case class HiveTableScan( def output = attributes } +/** + * :: DeveloperApi :: + */ +@DeveloperApi case class InsertIntoHiveTable( table: MetastoreRelation, partition: Map[String, Option[String]], diff --git a/sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveUdfs.scala b/sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveUdfs.scala index 55a4363af6..a09270eb7b 100644 --- a/sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveUdfs.scala +++ b/sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveUdfs.scala @@ -37,7 +37,7 @@ import org.apache.spark.sql.catalyst.types._ /* Implicit conversions */ import scala.collection.JavaConversions._ -object HiveFunctionRegistry +private[hive] object HiveFunctionRegistry extends analysis.FunctionRegistry with HiveFunctionFactory with HiveInspectors { def lookupFunction(name: String, children: Seq[Expression]): Expression = { @@ -99,7 +99,7 @@ object HiveFunctionRegistry } } -trait HiveFunctionFactory { +private[hive] trait HiveFunctionFactory { def getFunctionInfo(name: String) = FunctionRegistry.getFunctionInfo(name) def getFunctionClass(name: String) = getFunctionInfo(name).getFunctionClass def createFunction[UDFType](name: String) = @@ -130,7 +130,7 @@ trait HiveFunctionFactory { } } -abstract class HiveUdf extends Expression with Logging with HiveFunctionFactory { +private[hive] abstract class HiveUdf extends Expression with Logging with HiveFunctionFactory { self: Product => type UDFType @@ -148,7 +148,7 @@ abstract class HiveUdf extends Expression with Logging with HiveFunctionFactory override def toString = s"$nodeName#${functionInfo.getDisplayName}(${children.mkString(",")})" } -case class HiveSimpleUdf(name: String, children: Seq[Expression]) extends HiveUdf { +private[hive] case class HiveSimpleUdf(name: String, children: Seq[Expression]) extends HiveUdf { import org.apache.spark.sql.hive.HiveFunctionRegistry._ type UDFType = UDF @@ -201,7 +201,7 @@ case class HiveSimpleUdf(name: String, children: Seq[Expression]) extends HiveUd } } -case class HiveGenericUdf(name: String, children: Seq[Expression]) +private[hive] case class HiveGenericUdf(name: String, children: Seq[Expression]) extends HiveUdf with HiveInspectors { import org.apache.hadoop.hive.ql.udf.generic.GenericUDF._ @@ -228,7 +228,7 @@ case class HiveGenericUdf(name: String, children: Seq[Expression]) } } -trait HiveInspectors { +private[hive] trait HiveInspectors { def unwrapData(data: Any, oi: ObjectInspector): Any = oi match { case pi: PrimitiveObjectInspector => pi.getPrimitiveJavaObject(data) @@ -329,7 +329,7 @@ trait HiveInspectors { } } -case class HiveGenericUdaf( +private[hive] case class HiveGenericUdaf( name: String, children: Seq[Expression]) extends AggregateExpression with HiveInspectors @@ -371,7 +371,7 @@ case class HiveGenericUdaf( * Operators that require maintaining state in between input rows should instead be implemented as * user defined aggregations, which have clean semantics even in a partitioned execution. */ -case class HiveGenericUdtf( +private[hive] case class HiveGenericUdtf( name: String, aliasNames: Seq[String], children: Seq[Expression]) @@ -438,7 +438,7 @@ case class HiveGenericUdtf( override def toString = s"$nodeName#$name(${children.mkString(",")})" } -case class HiveUdafFunction( +private[hive] case class HiveUdafFunction( functionName: String, exprs: Seq[Expression], base: AggregateExpression) diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/CachedTableSuite.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/CachedTableSuite.scala index 79ec1f1cde..f9a162ef4e 100644 --- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/CachedTableSuite.scala +++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/CachedTableSuite.scala @@ -20,6 +20,7 @@ package org.apache.spark.sql.hive import org.apache.spark.sql.execution.SparkLogicalPlan import org.apache.spark.sql.columnar.InMemoryColumnarTableScan import org.apache.spark.sql.hive.execution.HiveComparisonTest +import org.apache.spark.sql.hive.test.TestHive class CachedTableSuite extends HiveComparisonTest { TestHive.loadTestTable("src") diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/InsertIntoHiveTableSuite.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/InsertIntoHiveTableSuite.scala index ad29e06905..833f350215 100644 --- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/InsertIntoHiveTableSuite.scala +++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/InsertIntoHiveTableSuite.scala @@ -17,12 +17,11 @@ package org.apache.spark.sql.hive -import java.io.File - import org.apache.spark.sql.QueryTest +import org.apache.spark.sql.hive.test.TestHive /* Implicits */ -import org.apache.spark.sql.hive.TestHive._ +import org.apache.spark.sql.hive.test.TestHive._ case class TestData(key: Int, value: String) diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/api/java/JavaHiveSuite.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/api/java/JavaHiveSuite.scala index 8137f99b22..9c5d7c81f7 100644 --- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/api/java/JavaHiveSuite.scala +++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/api/java/JavaHiveSuite.scala @@ -21,7 +21,7 @@ import org.scalatest.FunSuite import org.apache.spark.api.java.JavaSparkContext import org.apache.spark.sql.test.TestSQLContext -import org.apache.spark.sql.hive.TestHive +import org.apache.spark.sql.hive.test.TestHive // Implicits import scala.collection.JavaConversions._ diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/BigDataBenchmarkSuite.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/BigDataBenchmarkSuite.scala index 8488f23abd..9b9a823b6e 100644 --- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/BigDataBenchmarkSuite.scala +++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/BigDataBenchmarkSuite.scala @@ -19,7 +19,7 @@ package org.apache.spark.sql.hive.execution import java.io.File -import org.apache.spark.sql.hive.TestHive._ +import org.apache.spark.sql.hive.test.TestHive._ /** * A set of test cases based on the big-data-benchmark. diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/ConcurrentHiveSuite.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/ConcurrentHiveSuite.scala index ac87f2cb10..23ece7e7cf 100644 --- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/ConcurrentHiveSuite.scala +++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/ConcurrentHiveSuite.scala @@ -18,7 +18,7 @@ package org.apache.spark.sql.hive.execution import org.apache.spark.{SparkConf, SparkContext} -import org.apache.spark.sql.hive.TestHiveContext +import org.apache.spark.sql.hive.test.TestHiveContext import org.scalatest.{BeforeAndAfterAll, FunSuite} class ConcurrentHiveSuite extends FunSuite with BeforeAndAfterAll { diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveComparisonTest.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveComparisonTest.scala index 6c91f40d0f..ea17e6e93b 100644 --- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveComparisonTest.scala +++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveComparisonTest.scala @@ -24,7 +24,7 @@ import org.apache.spark.sql.catalyst.plans.logical.{ExplainCommand, NativeComman import org.apache.spark.sql.catalyst.util._ import org.apache.spark.sql.execution.Sort import org.scalatest.{BeforeAndAfterAll, FunSuite, GivenWhenThen} -import org.apache.spark.sql.hive.TestHive +import org.apache.spark.sql.hive.test.TestHive /** * Allows the creations of tests that execute the same query against both hive diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveCompatibilitySuite.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveCompatibilitySuite.scala index c3cfa3d25a..dfe88b960b 100644 --- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveCompatibilitySuite.scala +++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveCompatibilitySuite.scala @@ -19,7 +19,7 @@ package org.apache.spark.sql.hive.execution import org.scalatest.BeforeAndAfter -import org.apache.spark.sql.hive.TestHive +import org.apache.spark.sql.hive.test.TestHive /** * Runs the test cases that are included in the hive distribution. diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveQuerySuite.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveQuerySuite.scala index a09667ac84..d224d2ee60 100644 --- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveQuerySuite.scala +++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveQuerySuite.scala @@ -17,7 +17,7 @@ package org.apache.spark.sql.hive.execution -import org.apache.spark.sql.hive.TestHive._ +import org.apache.spark.sql.hive.test.TestHive._ /** * A set of test cases expressed in Hive QL that are not covered by the tests included in the hive distribution. diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveResolutionSuite.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveResolutionSuite.scala index 8883e5b16d..67594b57d3 100644 --- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveResolutionSuite.scala +++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveResolutionSuite.scala @@ -17,8 +17,8 @@ package org.apache.spark.sql.hive.execution -import org.apache.spark.sql.hive.TestHive -import org.apache.spark.sql.hive.TestHive._ +import org.apache.spark.sql.hive.test.TestHive +import org.apache.spark.sql.hive.test.TestHive._ case class Data(a: Int, B: Int, n: Nested) case class Nested(a: Int, B: Int) diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/PruningSuite.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/PruningSuite.scala index d9ccb93e23..25eca39746 100644 --- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/PruningSuite.scala +++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/PruningSuite.scala @@ -17,7 +17,7 @@ package org.apache.spark.sql.hive.execution -import org.apache.spark.sql.hive.{HiveTableScan, TestHive} +import org.apache.spark.sql.hive.test.TestHive /* Implicit conversions */ import scala.collection.JavaConversions._ diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/parquet/HiveParquetSuite.scala b/sql/hive/src/test/scala/org/apache/spark/sql/parquet/HiveParquetSuite.scala index 843c681e0d..91ad59d7f8 100644 --- a/sql/hive/src/test/scala/org/apache/spark/sql/parquet/HiveParquetSuite.scala +++ b/sql/hive/src/test/scala/org/apache/spark/sql/parquet/HiveParquetSuite.scala @@ -22,11 +22,10 @@ import org.scalatest.{BeforeAndAfterAll, BeforeAndAfterEach, FunSuite} import org.apache.spark.sql.catalyst.expressions.{AttributeReference, Row} import org.apache.spark.sql.catalyst.types.{DataType, StringType, IntegerType} import org.apache.spark.sql.{parquet, SchemaRDD} -import org.apache.spark.sql.hive.TestHive import org.apache.spark.util.Utils // Implicits -import org.apache.spark.sql.hive.TestHive._ +import org.apache.spark.sql.hive.test.TestHive._ class HiveParquetSuite extends FunSuite with BeforeAndAfterAll with BeforeAndAfterEach { |