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authorDaoyuan Wang <daoyuan.wang@intel.com>2016-07-18 13:58:12 -0700
committerYin Huai <yhuai@databricks.com>2016-07-18 13:58:12 -0700
commit96e9afaae93318250334211cc80ed0fee3d055b9 (patch)
tree095e699d596da28fca8d1239f705dea02f9b045b /sql/core
parent2877f1a5224c38c1fa0b85ef633ff935fae9dd83 (diff)
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[SPARK-16515][SQL] set default record reader and writer for script transformation
## What changes were proposed in this pull request? In ScriptInputOutputSchema, we read default RecordReader and RecordWriter from conf. Since Spark 2.0 has deleted those config keys from hive conf, we have to set default reader/writer class name by ourselves. Otherwise we will get None for LazySimpleSerde, the data written would not be able to read by script. The test case added worked fine with previous version of Spark, but would fail now. ## How was this patch tested? added a test case in SQLQuerySuite. Closes #14169 Author: Daoyuan Wang <daoyuan.wang@intel.com> Author: Yin Huai <yhuai@databricks.com> Closes #14249 from yhuai/scriptTransformation.
Diffstat (limited to 'sql/core')
-rw-r--r--sql/core/src/main/scala/org/apache/spark/sql/execution/SparkSqlParser.scala16
1 files changed, 11 insertions, 5 deletions
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkSqlParser.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkSqlParser.scala
index c5f4d58da4..fa4ccf42b5 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkSqlParser.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkSqlParser.scala
@@ -1325,7 +1325,10 @@ class SparkSqlAstBuilder(conf: SQLConf) extends AstBuilder {
// Decode and input/output format.
type Format = (Seq[(String, String)], Option[String], Seq[(String, String)], Option[String])
- def format(fmt: RowFormatContext, configKey: String): Format = fmt match {
+ def format(
+ fmt: RowFormatContext,
+ configKey: String,
+ defaultConfigValue: String): Format = fmt match {
case c: RowFormatDelimitedContext =>
// TODO we should use the visitRowFormatDelimited function here. However HiveScriptIOSchema
// expects a seq of pairs in which the old parsers' token names are used as keys.
@@ -1348,7 +1351,7 @@ class SparkSqlAstBuilder(conf: SQLConf) extends AstBuilder {
// SPARK-10310: Special cases LazySimpleSerDe
val recordHandler = if (name == "org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe") {
- Try(conf.getConfString(configKey)).toOption
+ Option(conf.getConfString(configKey, defaultConfigValue))
} else {
None
}
@@ -1359,15 +1362,18 @@ class SparkSqlAstBuilder(conf: SQLConf) extends AstBuilder {
val name = conf.getConfString("hive.script.serde",
"org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe")
val props = Seq("field.delim" -> "\t")
- val recordHandler = Try(conf.getConfString(configKey)).toOption
+ val recordHandler = Option(conf.getConfString(configKey, defaultConfigValue))
(Nil, Option(name), props, recordHandler)
}
val (inFormat, inSerdeClass, inSerdeProps, reader) =
- format(inRowFormat, "hive.script.recordreader")
+ format(
+ inRowFormat, "hive.script.recordreader", "org.apache.hadoop.hive.ql.exec.TextRecordReader")
val (outFormat, outSerdeClass, outSerdeProps, writer) =
- format(outRowFormat, "hive.script.recordwriter")
+ format(
+ outRowFormat, "hive.script.recordwriter",
+ "org.apache.hadoop.hive.ql.exec.TextRecordWriter")
ScriptInputOutputSchema(
inFormat, outFormat,