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author | Cheng Hao <hao.cheng@intel.com> | 2015-02-10 18:19:56 -0800 |
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committer | Michael Armbrust <michael@databricks.com> | 2015-02-10 18:19:56 -0800 |
commit | a60aea86b4d4b716b5ec3bff776b509fe0831342 (patch) | |
tree | edd0220e8a69ee071b9d57aa9ad8dabb8e4868c4 /sql/core | |
parent | 6195e2473b98253ccc9edc3d624ba2bf59ffc398 (diff) | |
download | spark-a60aea86b4d4b716b5ec3bff776b509fe0831342.tar.gz spark-a60aea86b4d4b716b5ec3bff776b509fe0831342.tar.bz2 spark-a60aea86b4d4b716b5ec3bff776b509fe0831342.zip |
[SPARK-5683] [SQL] Avoid multiple json generator created
Author: Cheng Hao <hao.cheng@intel.com>
Closes #4468 from chenghao-intel/json and squashes the following commits:
aeb7801 [Cheng Hao] avoid multiple json generator created
Diffstat (limited to 'sql/core')
3 files changed, 29 insertions, 16 deletions
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/DataFrameImpl.scala b/sql/core/src/main/scala/org/apache/spark/sql/DataFrameImpl.scala index 11f9334556..0134b038f3 100644 --- a/sql/core/src/main/scala/org/apache/spark/sql/DataFrameImpl.scala +++ b/sql/core/src/main/scala/org/apache/spark/sql/DataFrameImpl.scala @@ -17,6 +17,8 @@ package org.apache.spark.sql +import java.io.CharArrayWriter + import scala.language.implicitConversions import scala.reflect.ClassTag import scala.collection.JavaConversions._ @@ -380,8 +382,26 @@ private[sql] class DataFrameImpl protected[sql]( override def toJSON: RDD[String] = { val rowSchema = this.schema this.mapPartitions { iter => - val jsonFactory = new JsonFactory() - iter.map(JsonRDD.rowToJSON(rowSchema, jsonFactory)) + val writer = new CharArrayWriter() + // create the Generator without separator inserted between 2 records + val gen = new JsonFactory().createGenerator(writer).setRootValueSeparator(null) + + new Iterator[String] { + override def hasNext() = iter.hasNext + override def next(): String = { + JsonRDD.rowToJSON(rowSchema, gen)(iter.next()) + gen.flush() + + val json = writer.toString + if (hasNext) { + writer.reset() + } else { + gen.close() + } + + json + } + } } } diff --git a/sql/core/src/main/scala/org/apache/spark/sql/json/JsonRDD.scala b/sql/core/src/main/scala/org/apache/spark/sql/json/JsonRDD.scala index 33ce71b51b..1043eefcfc 100644 --- a/sql/core/src/main/scala/org/apache/spark/sql/json/JsonRDD.scala +++ b/sql/core/src/main/scala/org/apache/spark/sql/json/JsonRDD.scala @@ -23,8 +23,7 @@ import java.sql.{Date, Timestamp} import scala.collection.Map import scala.collection.convert.Wrappers.{JMapWrapper, JListWrapper} -import com.fasterxml.jackson.core.JsonProcessingException -import com.fasterxml.jackson.core.JsonFactory +import com.fasterxml.jackson.core.{JsonGenerator, JsonProcessingException, JsonFactory} import com.fasterxml.jackson.databind.ObjectMapper import org.apache.spark.rdd.RDD @@ -430,14 +429,11 @@ private[sql] object JsonRDD extends Logging { /** Transforms a single Row to JSON using Jackson * - * @param jsonFactory a JsonFactory object to construct a JsonGenerator * @param rowSchema the schema object used for conversion + * @param gen a JsonGenerator object * @param row The row to convert */ - private[sql] def rowToJSON(rowSchema: StructType, jsonFactory: JsonFactory)(row: Row): String = { - val writer = new StringWriter() - val gen = jsonFactory.createGenerator(writer) - + private[sql] def rowToJSON(rowSchema: StructType, gen: JsonGenerator)(row: Row) = { def valWriter: (DataType, Any) => Unit = { case (_, null) | (NullType, _) => gen.writeNull() case (StringType, v: String) => gen.writeString(v) @@ -479,8 +475,5 @@ private[sql] object JsonRDD extends Logging { } valWriter(rowSchema, row) - gen.close() - writer.toString } - } diff --git a/sql/core/src/test/scala/org/apache/spark/sql/json/JsonSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/json/JsonSuite.scala index 7870cf9b0a..4fc92e3e3b 100644 --- a/sql/core/src/test/scala/org/apache/spark/sql/json/JsonSuite.scala +++ b/sql/core/src/test/scala/org/apache/spark/sql/json/JsonSuite.scala @@ -824,8 +824,8 @@ class JsonSuite extends QueryTest { df1.registerTempTable("applySchema1") val df2 = df1.toDataFrame val result = df2.toJSON.collect() - assert(result(0) == "{\"f1\":1,\"f2\":\"A1\",\"f3\":true,\"f4\":[\"1\",\" A1\",\" true\",\" null\"]}") - assert(result(3) == "{\"f1\":4,\"f2\":\"D4\",\"f3\":true,\"f4\":[\"4\",\" D4\",\" true\",\" 2147483644\"],\"f5\":2147483644}") + assert(result(0) === "{\"f1\":1,\"f2\":\"A1\",\"f3\":true,\"f4\":[\"1\",\" A1\",\" true\",\" null\"]}") + assert(result(3) === "{\"f1\":4,\"f2\":\"D4\",\"f3\":true,\"f4\":[\"4\",\" D4\",\" true\",\" 2147483644\"],\"f5\":2147483644}") val schema2 = StructType( StructField("f1", StructType( @@ -846,8 +846,8 @@ class JsonSuite extends QueryTest { val df4 = df3.toDataFrame val result2 = df4.toJSON.collect() - assert(result2(1) == "{\"f1\":{\"f11\":2,\"f12\":false},\"f2\":{\"B2\":null}}") - assert(result2(3) == "{\"f1\":{\"f11\":4,\"f12\":true},\"f2\":{\"D4\":2147483644}}") + assert(result2(1) === "{\"f1\":{\"f11\":2,\"f12\":false},\"f2\":{\"B2\":null}}") + assert(result2(3) === "{\"f1\":{\"f11\":4,\"f12\":true},\"f2\":{\"D4\":2147483644}}") val jsonDF = jsonRDD(primitiveFieldAndType) val primTable = jsonRDD(jsonDF.toJSON) |