[SPARK-5212][SQL] Add support of schema-less, custom field delimiter and SerDe for HiveQL transform
This pr adds the support of schema-less syntax, custom field delimiter and SerDe for HiveQL's transform. Author: Liang-Chi Hsieh <[email protected]> Closes #4014 from viirya/schema_less_trans and squashes the following commits: ac2d1fe [Liang-Chi Hsieh] Refactor codes for comments. a137933 [Liang-Chi Hsieh] Merge remote-tracking branch 'upstream/master' into schema_less_trans aa10fbd [Liang-Chi Hsieh] Add Hive golden answer files again. 575f695 [Liang-Chi Hsieh] Add Hive golden answer files for new unit tests. a422562 [Liang-Chi Hsieh] Use createQueryTest for unit tests and remove unnecessary imports. ccb71e3 [Liang-Chi Hsieh] Refactor codes for comments. 37bd391 [Liang-Chi Hsieh] Merge remote-tracking branch 'upstream/master' into schema_less_trans 6000889 [Liang-Chi Hsieh] Wrap input and output schema into ScriptInputOutputSchema. 21727f7 [Liang-Chi Hsieh] Move schema-less output to proper place. Use multilines instead of a long line SQL. 9a6dc04 [Liang-Chi Hsieh] setRecordReaderID is introduced in 0.13.1, use reflection API to call it. 7a14f31 [Liang-Chi Hsieh] Fix bug. 799b5e1 [Liang-Chi Hsieh] Call getSerializedClass instead of using Text. be2c3fc [Liang-Chi Hsieh] Fix style. 32d3046 [Liang-Chi Hsieh] Add SerDe support. ab22f7b [Liang-Chi Hsieh] Fix style. 7a48e42 [Liang-Chi Hsieh] Add support of custom field delimiter. b1729d9 [Liang-Chi Hsieh] Fix style. ccee49e [Liang-Chi Hsieh] Add unit test. f561c37 [Liang-Chi Hsieh] Add support of schema-less script transformation. Project: http://git-wip-us.apache.org/repos/asf/spark/repo Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/683e9382 Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/683e9382 Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/683e9382 Branch: refs/heads/master Commit: 683e938242e29a0d584452e5230b4168b85bdab2 Parents: 62a93a1 Author: Liang-Chi Hsieh <[email protected]> Authored: Mon Feb 2 13:53:55 2015 -0800 Committer: Michael Armbrust <[email protected]> Committed: Mon Feb 2 13:53:55 2015 -0800 ---------------------------------------------------------------------- .../plans/logical/ScriptTransformation.scala | 10 +- .../org/apache/spark/sql/hive/HiveQl.scala | 59 ++- .../apache/spark/sql/hive/HiveStrategies.scala | 4 +- .../hive/execution/ScriptTransformation.scala | 220 +++++++- ...transform-0-d5738de14dd6e29da712ec3318f4118f | 500 +++++++++++++++++++ ...transform-1-49624ef4e2c3cc2040c06660b926219b | 500 +++++++++++++++++++ ...ith SerDe-0-cdc393f3914c879787efe523f692b1e0 | 500 +++++++++++++++++++ ...th SerDe3-0-58a8b7eb07a949bc44dccb723222957f | 500 +++++++++++++++++++ ...th SerDe4-0-ba9ad2499a7408cb350c7abafaf9ea97 | 500 +++++++++++++++++++ ...delimiter-0-703cca3c02ced422feb11dc13b744484 | 500 +++++++++++++++++++ ...delimiter-0-82639dda9ba42df817466dffe2929174 | 500 +++++++++++++++++++ ...elimiter2-0-e8713b21483e1efb78ee90b61530479b | 500 +++++++++++++++++++ ...elimiter2-0-e8d2b2e60551f69bfb44e555f5cff064 | 500 +++++++++++++++++++ ...elimiter3-0-d4f4f471819345e9ce1964e281ea5289 | 500 +++++++++++++++++++ .../sql/hive/execution/HiveQuerySuite.scala | 76 ++- .../org/apache/spark/sql/hive/Shim12.scala | 6 +- .../org/apache/spark/sql/hive/Shim13.scala | 19 +- 17 files changed, 5360 insertions(+), 34 deletions(-) ---------------------------------------------------------------------- http://git-wip-us.apache.org/repos/asf/spark/blob/683e9382/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/ScriptTransformation.scala ---------------------------------------------------------------------- diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/ScriptTransformation.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/ScriptTransformation.scala index 4460c86..cfe2c7a 100644 --- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/ScriptTransformation.scala +++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/ScriptTransformation.scala @@ -25,9 +25,17 @@ import org.apache.spark.sql.catalyst.expressions.{Attribute, Expression} * @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. + * @param ioschema the input and output schema applied in the execution of the script. */ case class ScriptTransformation( input: Seq[Expression], script: String, output: Seq[Attribute], - child: LogicalPlan) extends UnaryNode + child: LogicalPlan, + ioschema: ScriptInputOutputSchema) extends UnaryNode + +/** + * A placeholder for implementation specific input and output properties when passing data + * to a script. For example, in Hive this would specify which SerDes to use. + */ +trait ScriptInputOutputSchema http://git-wip-us.apache.org/repos/asf/spark/blob/683e9382/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveQl.scala ---------------------------------------------------------------------- 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 30a64b4..ab305e1 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 @@ -33,7 +33,7 @@ import org.apache.spark.sql.catalyst.plans._ import org.apache.spark.sql.catalyst.plans.logical import org.apache.spark.sql.catalyst.plans.logical._ import org.apache.spark.sql.execution.ExplainCommand -import org.apache.spark.sql.hive.execution.{HiveNativeCommand, DropTable, AnalyzeTable} +import org.apache.spark.sql.hive.execution.{HiveNativeCommand, DropTable, AnalyzeTable, HiveScriptIOSchema} import org.apache.spark.sql.types._ /* Implicit conversions */ @@ -627,29 +627,64 @@ https://cwiki.apache.org/confluence/display/Hive/Enhanced+Aggregation%2C+Cube%2C case Token("TOK_SELEXPR", Token("TOK_TRANSFORM", Token("TOK_EXPLIST", inputExprs) :: - Token("TOK_SERDE", Nil) :: + Token("TOK_SERDE", inputSerdeClause) :: Token("TOK_RECORDWRITER", writerClause) :: // TODO: Need to support other types of (in/out)put Token(script, Nil) :: - Token("TOK_SERDE", serdeClause) :: + Token("TOK_SERDE", outputSerdeClause) :: Token("TOK_RECORDREADER", readerClause) :: - outputClause :: Nil) :: Nil) => - - val output = outputClause match { - case Token("TOK_ALIASLIST", aliases) => - aliases.map { case Token(name, Nil) => AttributeReference(name, StringType)() } - case Token("TOK_TABCOLLIST", attributes) => - attributes.map { case Token("TOK_TABCOL", Token(name, Nil) :: dataType :: Nil) => - AttributeReference(name, nodeToDataType(dataType))() } + outputClause) :: Nil) => + + val (output, schemaLess) = outputClause match { + case Token("TOK_ALIASLIST", aliases) :: Nil => + (aliases.map { case Token(name, Nil) => AttributeReference(name, StringType)() }, + false) + case Token("TOK_TABCOLLIST", attributes) :: Nil => + (attributes.map { case Token("TOK_TABCOL", Token(name, Nil) :: dataType :: Nil) => + AttributeReference(name, nodeToDataType(dataType))() }, false) + case Nil => + (List(AttributeReference("key", StringType)(), + AttributeReference("value", StringType)()), true) } + + def matchSerDe(clause: Seq[ASTNode]) = clause match { + case Token("TOK_SERDEPROPS", propsClause) :: Nil => + val rowFormat = propsClause.map { + case Token(name, Token(value, Nil) :: Nil) => (name, value) + } + (rowFormat, "", Nil) + + case Token("TOK_SERDENAME", Token(serdeClass, Nil) :: Nil) :: Nil => + (Nil, serdeClass, Nil) + + case Token("TOK_SERDENAME", Token(serdeClass, Nil) :: + Token("TOK_TABLEPROPERTIES", + Token("TOK_TABLEPROPLIST", propsClause) :: Nil) :: Nil) :: Nil => + val serdeProps = propsClause.map { + case Token("TOK_TABLEPROPERTY", Token(name, Nil) :: Token(value, Nil) :: Nil) => + (name, value) + } + (Nil, serdeClass, serdeProps) + + case Nil => (Nil, "", Nil) + } + + val (inRowFormat, inSerdeClass, inSerdeProps) = matchSerDe(inputSerdeClause) + val (outRowFormat, outSerdeClass, outSerdeProps) = matchSerDe(outputSerdeClause) + val unescapedScript = BaseSemanticAnalyzer.unescapeSQLString(script) + val schema = HiveScriptIOSchema( + inRowFormat, outRowFormat, + inSerdeClass, outSerdeClass, + inSerdeProps, outSerdeProps, schemaLess) + Some( logical.ScriptTransformation( inputExprs.map(nodeToExpr), unescapedScript, output, - withWhere)) + withWhere, schema)) case _ => None } http://git-wip-us.apache.org/repos/asf/spark/blob/683e9382/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveStrategies.scala ---------------------------------------------------------------------- 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 ace9329..83244ce 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 @@ -166,8 +166,8 @@ private[hive] trait HiveStrategies { object Scripts extends Strategy { def apply(plan: LogicalPlan): Seq[SparkPlan] = plan match { - case logical.ScriptTransformation(input, script, output, child) => - ScriptTransformation(input, script, output, planLater(child))(hiveContext) :: Nil + case logical.ScriptTransformation(input, script, output, child, schema: HiveScriptIOSchema) => + ScriptTransformation(input, script, output, planLater(child), schema)(hiveContext) :: Nil case _ => Nil } } http://git-wip-us.apache.org/repos/asf/spark/blob/683e9382/sql/hive/src/main/scala/org/apache/spark/sql/hive/execution/ScriptTransformation.scala ---------------------------------------------------------------------- diff --git a/sql/hive/src/main/scala/org/apache/spark/sql/hive/execution/ScriptTransformation.scala b/sql/hive/src/main/scala/org/apache/spark/sql/hive/execution/ScriptTransformation.scala index 0c8f676..c54fbb6 100644 --- a/sql/hive/src/main/scala/org/apache/spark/sql/hive/execution/ScriptTransformation.scala +++ b/sql/hive/src/main/scala/org/apache/spark/sql/hive/execution/ScriptTransformation.scala @@ -18,11 +18,26 @@ package org.apache.spark.sql.hive.execution import java.io.{BufferedReader, InputStreamReader} +import java.io.{DataInputStream, DataOutputStream, EOFException} +import java.util.Properties + +import org.apache.hadoop.hive.serde.serdeConstants +import org.apache.hadoop.hive.serde2.AbstractSerDe +import org.apache.hadoop.hive.serde2.Serializer +import org.apache.hadoop.hive.serde2.Deserializer +import org.apache.hadoop.hive.serde2.objectinspector._ +import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorFactory.ObjectInspectorOptions +import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorUtils.ObjectInspectorCopyOption import org.apache.spark.annotation.DeveloperApi import org.apache.spark.sql.catalyst.expressions._ +import org.apache.spark.sql.catalyst.plans.logical.ScriptInputOutputSchema import org.apache.spark.sql.execution._ -import org.apache.spark.sql.hive.HiveContext +import org.apache.spark.sql.types.DataType +import org.apache.spark.sql.hive.{HiveContext, HiveInspectors} +import org.apache.spark.sql.hive.HiveShim._ +import org.apache.spark.util.Utils + /* Implicit conversions */ import scala.collection.JavaConversions._ @@ -40,7 +55,8 @@ case class ScriptTransformation( input: Seq[Expression], script: String, output: Seq[Attribute], - child: SparkPlan)(@transient sc: HiveContext) + child: SparkPlan, + ioschema: HiveScriptIOSchema)(@transient sc: HiveContext) extends UnaryNode { override def otherCopyArgs = sc :: Nil @@ -53,28 +69,202 @@ case class ScriptTransformation( val inputStream = proc.getInputStream val outputStream = proc.getOutputStream val reader = new BufferedReader(new InputStreamReader(inputStream)) + + val (outputSerde, outputSoi) = ioschema.initOutputSerDe(output) + + val iterator: Iterator[Row] = new Iterator[Row] with HiveInspectors { + var cacheRow: Row = null + var curLine: String = null + var eof: Boolean = false + + override def hasNext: Boolean = { + if (outputSerde == null) { + if (curLine == null) { + curLine = reader.readLine() + curLine != null + } else { + true + } + } else { + !eof + } + } + + def deserialize(): Row = { + if (cacheRow != null) return cacheRow + + val mutableRow = new SpecificMutableRow(output.map(_.dataType)) + try { + val dataInputStream = new DataInputStream(inputStream) + val writable = outputSerde.getSerializedClass().newInstance + writable.readFields(dataInputStream) + + val raw = outputSerde.deserialize(writable) + val dataList = outputSoi.getStructFieldsDataAsList(raw) + val fieldList = outputSoi.getAllStructFieldRefs() + + var i = 0 + dataList.foreach( element => { + if (element == null) { + mutableRow.setNullAt(i) + } else { + mutableRow(i) = unwrap(element, fieldList(i).getFieldObjectInspector) + } + i += 1 + }) + return mutableRow + } catch { + case e: EOFException => + eof = true + return null + } + } - // TODO: This should be exposed as an iterator instead of reading in all the data at once. - val outputLines = collection.mutable.ArrayBuffer[Row]() - val readerThread = new Thread("Transform OutputReader") { - override def run() { - var curLine = reader.readLine() - while (curLine != null) { - // TODO: Use SerDe - outputLines += new GenericRow(curLine.split("\t").asInstanceOf[Array[Any]]) + override def next(): Row = { + if (!hasNext) { + throw new NoSuchElementException + } + + if (outputSerde == null) { + val prevLine = curLine curLine = reader.readLine() + + if (!ioschema.schemaLess) { + new GenericRow( + prevLine.split(ioschema.outputRowFormatMap("TOK_TABLEROWFORMATFIELD")) + .asInstanceOf[Array[Any]]) + } else { + new GenericRow( + prevLine.split(ioschema.outputRowFormatMap("TOK_TABLEROWFORMATFIELD"), 2) + .asInstanceOf[Array[Any]]) + } + } else { + val ret = deserialize() + if (!eof) { + cacheRow = null + cacheRow = deserialize() + } + ret } } } - readerThread.start() + + val (inputSerde, inputSoi) = ioschema.initInputSerDe(input) + val dataOutputStream = new DataOutputStream(outputStream) val outputProjection = new InterpretedProjection(input, child.output) + iter .map(outputProjection) - // TODO: Use SerDe - .map(_.mkString("", "\t", "\n").getBytes("utf-8")).foreach(outputStream.write) + .foreach { row => + if (inputSerde == null) { + val data = row.mkString("", ioschema.inputRowFormatMap("TOK_TABLEROWFORMATFIELD"), + ioschema.inputRowFormatMap("TOK_TABLEROWFORMATLINES")).getBytes("utf-8") + + outputStream.write(data) + } else { + val writable = inputSerde.serialize(row.asInstanceOf[GenericRow].values, inputSoi) + prepareWritable(writable).write(dataOutputStream) + } + } outputStream.close() - readerThread.join() - outputLines.toIterator + iterator + } + } +} + +/** + * The wrapper class of Hive input and output schema properties + */ +case class HiveScriptIOSchema ( + inputRowFormat: Seq[(String, String)], + outputRowFormat: Seq[(String, String)], + inputSerdeClass: String, + outputSerdeClass: String, + inputSerdeProps: Seq[(String, String)], + outputSerdeProps: Seq[(String, String)], + schemaLess: Boolean) extends ScriptInputOutputSchema with HiveInspectors { + + val defaultFormat = Map(("TOK_TABLEROWFORMATFIELD", "\t"), + ("TOK_TABLEROWFORMATLINES", "\n")) + + val inputRowFormatMap = inputRowFormat.toMap.withDefault((k) => defaultFormat(k)) + val outputRowFormatMap = outputRowFormat.toMap.withDefault((k) => defaultFormat(k)) + + + def initInputSerDe(input: Seq[Expression]): (AbstractSerDe, ObjectInspector) = { + val (columns, columnTypes) = parseAttrs(input) + val serde = initSerDe(inputSerdeClass, columns, columnTypes, inputSerdeProps) + (serde, initInputSoi(serde, columns, columnTypes)) + } + + def initOutputSerDe(output: Seq[Attribute]): (AbstractSerDe, StructObjectInspector) = { + val (columns, columnTypes) = parseAttrs(output) + val serde = initSerDe(outputSerdeClass, columns, columnTypes, outputSerdeProps) + (serde, initOutputputSoi(serde)) + } + + def parseAttrs(attrs: Seq[Expression]): (Seq[String], Seq[DataType]) = { + + val columns = attrs.map { + case aref: AttributeReference => aref.name + case e: NamedExpression => e.name + case _ => null + } + + val columnTypes = attrs.map { + case aref: AttributeReference => aref.dataType + case e: NamedExpression => e.dataType + case _ => null + } + + (columns, columnTypes) + } + + def initSerDe(serdeClassName: String, columns: Seq[String], + columnTypes: Seq[DataType], serdeProps: Seq[(String, String)]): AbstractSerDe = { + + val serde: AbstractSerDe = if (serdeClassName != "") { + val trimed_class = serdeClassName.split("'")(1) + Utils.classForName(trimed_class) + .newInstance.asInstanceOf[AbstractSerDe] + } else { + null + } + + if (serde != null) { + val columnTypesNames = columnTypes.map(_.toTypeInfo.getTypeName()).mkString(",") + + var propsMap = serdeProps.map(kv => { + (kv._1.split("'")(1), kv._2.split("'")(1)) + }).toMap + (serdeConstants.LIST_COLUMNS -> columns.mkString(",")) + propsMap = propsMap + (serdeConstants.LIST_COLUMN_TYPES -> columnTypesNames) + + val properties = new Properties() + properties.putAll(propsMap) + serde.initialize(null, properties) + } + + serde + } + + def initInputSoi(inputSerde: AbstractSerDe, columns: Seq[String], columnTypes: Seq[DataType]) + : ObjectInspector = { + + if (inputSerde != null) { + val fieldObjectInspectors = columnTypes.map(toInspector(_)) + ObjectInspectorFactory + .getStandardStructObjectInspector(columns, fieldObjectInspectors) + .asInstanceOf[ObjectInspector] + } else { + null + } + } + + def initOutputputSoi(outputSerde: AbstractSerDe): StructObjectInspector = { + if (outputSerde != null) { + outputSerde.getObjectInspector().asInstanceOf[StructObjectInspector] + } else { + null } } } http://git-wip-us.apache.org/repos/asf/spark/blob/683e9382/sql/hive/src/test/resources/golden/schema-less transform-0-d5738de14dd6e29da712ec3318f4118f ---------------------------------------------------------------------- diff --git a/sql/hive/src/test/resources/golden/schema-less transform-0-d5738de14dd6e29da712ec3318f4118f b/sql/hive/src/test/resources/golden/schema-less transform-0-d5738de14dd6e29da712ec3318f4118f new file mode 100644 index 0000000..7aae61e --- /dev/null +++ b/sql/hive/src/test/resources/golden/schema-less transform-0-d5738de14dd6e29da712ec3318f4118f @@ -0,0 +1,500 @@ +238 val_238 +86 val_86 +311 val_311 +27 val_27 +165 val_165 +409 val_409 +255 val_255 +278 val_278 +98 val_98 +484 val_484 +265 val_265 +193 val_193 +401 val_401 +150 val_150 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val_414 +477 val_477 +222 val_222 +126 val_126 +90 val_90 +169 val_169 +403 val_403 +400 val_400 +200 val_200 +97 val_97 http://git-wip-us.apache.org/repos/asf/spark/blob/683e9382/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveQuerySuite.scala ---------------------------------------------------------------------- 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 60619f5..4c53b10 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 @@ -63,7 +63,7 @@ class HiveQuerySuite extends HiveComparisonTest with BeforeAndAfter { sql("SHOW TABLES") } } - + createQueryTest("! operator", """ |SELECT a FROM ( @@ -329,6 +329,80 @@ class HiveQuerySuite extends HiveComparisonTest with BeforeAndAfter { createQueryTest("transform", "SELECT TRANSFORM (key) USING 'cat' AS (tKey) FROM src") + createQueryTest("schema-less transform", + """ + |SELECT TRANSFORM (key, value) USING 'cat' FROM src; + |SELECT TRANSFORM (*) USING 'cat' FROM src; + """.stripMargin) + + val delimiter = "'\t'" + + createQueryTest("transform with custom field delimiter", + s""" + |SELECT TRANSFORM (key) ROW FORMAT DELIMITED FIELDS TERMINATED BY ${delimiter} + |USING 'cat' AS (tKey) ROW FORMAT DELIMITED FIELDS TERMINATED BY ${delimiter} FROM src; + """.stripMargin.replaceAll("\n", " ")) + + createQueryTest("transform with custom field delimiter2", + s""" + |SELECT TRANSFORM (key, value) ROW FORMAT DELIMITED FIELDS TERMINATED BY ${delimiter} + |USING 'cat' ROW FORMAT DELIMITED FIELDS TERMINATED BY ${delimiter} FROM src; + """.stripMargin.replaceAll("\n", " ")) + + createQueryTest("transform with custom field delimiter3", + s""" + |SELECT TRANSFORM (*) ROW FORMAT DELIMITED FIELDS TERMINATED BY ${delimiter} + |USING 'cat' ROW FORMAT DELIMITED FIELDS TERMINATED BY ${delimiter} FROM src; + """.stripMargin.replaceAll("\n", " ")) + + createQueryTest("transform with SerDe", + """ + |SELECT TRANSFORM (key, value) ROW FORMAT SERDE + |'org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe' + |USING 'cat' AS (tKey, tValue) ROW FORMAT SERDE + |'org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe' FROM src; + """.stripMargin.replaceAll("\n", " ")) + + test("transform with SerDe2") { + + sql("CREATE TABLE small_src(key INT, value STRING)") + sql("INSERT OVERWRITE TABLE small_src SELECT key, value FROM src LIMIT 10") + + val expected = sql("SELECT key FROM small_src").collect().head + val res = sql( + """ + |SELECT TRANSFORM (key) ROW FORMAT SERDE + |'org.apache.hadoop.hive.serde2.avro.AvroSerDe' + |WITH SERDEPROPERTIES ('avro.schema.literal'='{"namespace": + |"testing.hive.avro.serde","name": "src","type": "record","fields": + |[{"name":"key","type":"int"}]}') USING 'cat' AS (tKey INT) ROW FORMAT SERDE + |'org.apache.hadoop.hive.serde2.avro.AvroSerDe' WITH SERDEPROPERTIES + |('avro.schema.literal'='{"namespace": "testing.hive.avro.serde","name": + |"src","type": "record","fields": [{"name":"key","type":"int"}]}') + |FROM small_src + """.stripMargin.replaceAll("\n", " ")).collect().head + + assert(expected(0) === res(0)) + } + + createQueryTest("transform with SerDe3", + """ + |SELECT TRANSFORM (*) ROW FORMAT SERDE + |'org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe' WITH SERDEPROPERTIES + |('serialization.last.column.takes.rest'='true') USING 'cat' AS (tKey, tValue) + |ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe' + |WITH SERDEPROPERTIES ('serialization.last.column.takes.rest'='true') FROM src; + """.stripMargin.replaceAll("\n", " ")) + + createQueryTest("transform with SerDe4", + """ + |SELECT TRANSFORM (*) ROW FORMAT SERDE + |'org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe' WITH SERDEPROPERTIES + |('serialization.last.column.takes.rest'='true') USING 'cat' ROW FORMAT SERDE + |'org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe' WITH SERDEPROPERTIES + |('serialization.last.column.takes.rest'='true') FROM src; + """.stripMargin.replaceAll("\n", " ")) + createQueryTest("LIKE", "SELECT * FROM src WHERE value LIKE '%1%'") http://git-wip-us.apache.org/repos/asf/spark/blob/683e9382/sql/hive/v0.12.0/src/main/scala/org/apache/spark/sql/hive/Shim12.scala ---------------------------------------------------------------------- diff --git a/sql/hive/v0.12.0/src/main/scala/org/apache/spark/sql/hive/Shim12.scala b/sql/hive/v0.12.0/src/main/scala/org/apache/spark/sql/hive/Shim12.scala index c0b7741..254919e 100644 --- a/sql/hive/v0.12.0/src/main/scala/org/apache/spark/sql/hive/Shim12.scala +++ b/sql/hive/v0.12.0/src/main/scala/org/apache/spark/sql/hive/Shim12.scala @@ -38,7 +38,7 @@ import org.apache.hadoop.hive.serde2.objectinspector.{ObjectInspector, Primitive import org.apache.hadoop.hive.serde2.objectinspector.PrimitiveObjectInspector.PrimitiveCategory import org.apache.hadoop.hive.serde2.objectinspector.primitive.{HiveDecimalObjectInspector, PrimitiveObjectInspectorFactory} import org.apache.hadoop.hive.serde2.typeinfo.{TypeInfo, TypeInfoFactory} -import org.apache.hadoop.io.NullWritable +import org.apache.hadoop.io.{NullWritable, Writable} import org.apache.hadoop.mapred.InputFormat import org.apache.spark.sql.types.{Decimal, DecimalType} @@ -241,6 +241,10 @@ private[hive] object HiveShim { Decimal(hdoi.getPrimitiveJavaObject(data).bigDecimalValue()) } } + + def prepareWritable(w: Writable): Writable = { + w + } } class ShimFileSinkDesc(var dir: String, var tableInfo: TableDesc, var compressed: Boolean) --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
