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https://issues.apache.org/jira/browse/SPARK-15491?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15297466#comment-15297466
]
Marc Prud'hommeaux edited comment on SPARK-15491 at 5/24/16 1:01 AM:
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I'm guessing the problem is coming from the JDBCRelation having a transient
constructor argument:
{code}
private[sql] case class JDBCRelation(
url: String,
table: String,
parts: Array[Partition],
properties: Properties = new Properties())(@transient val sparkSession:
SparkSession)
{code}
It appears that getConstructorParameterNames is returning the 5 constructor
arguments, but the productIterator is returning only the 4 non-transient
properties.
{code}
val fieldNames = getConstructorParameterNames(p.getClass)
val fieldValues = p.productIterator.toSeq
assert(fieldNames.length == fieldValues.length)
{code}
was (Author: mprudhom):
I'm guessing the problem is coming from the JDBCRelation having a transient
constructor argument:
{code}
private[sql] case class JDBCRelation(
url: String,
table: String,
parts: Array[Partition],
properties: Properties = new Properties())(@transient val sparkSession:
SparkSession)
code}
It appears that getConstructorParameterNames is returning the 5 constructor
arguments, but the productIterator is returning only the 4 non-transient
properties.
{code}
val fieldNames = getConstructorParameterNames(p.getClass)
val fieldValues = p.productIterator.toSeq
assert(fieldNames.length == fieldValues.length)
{code}
> JSON serializations fails for JDBC DataFrames
> ---------------------------------------------
>
> Key: SPARK-15491
> URL: https://issues.apache.org/jira/browse/SPARK-15491
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.0.0
> Environment: MacOS 10.11.5, Spark 2.0.0-preview
> Reporter: Marc Prud'hommeaux
>
> The TreeNode.toJSON feature implemented in SPARK-12321 fails with an
> assertion error on DataFrames that use JDBC in spark 2.0.0-preview:
> {code}
> scala>
> sqlContext.read.json("examples/src/main/resources/people.json").select("name",
> "age").agg(avg("age"), count("name")).filter(avg("age") >
> 10).queryExecution.logical.toJSON
> res113: String =
> [{"class":"org.apache.spark.sql.catalyst.plans.logical.Filter","num-children":1,"condition":[{"class":"org.apache.spark.sql.catalyst.expressions.GreaterThan","num-children":2,"left":0,"right":1},{"class":"org.apache.spark.sql.catalyst.expressions.aggregate.AggregateExpression","num-children":1,...
> scala> sqlContext.read.format("jdbc").options(db + ("dbtable" ->
> "categories")).load().queryExecution.logical.simpleString
> res120: String = Relation[category#2148,categoryname#2149]
> JDBCRelation(categories)
> scala> sqlContext.read.format("jdbc").options(db + ("dbtable" ->
> "categories")).load().queryExecution.logical.toJSON
> java.lang.AssertionError: assertion failed
> at scala.Predef$.assert(Predef.scala:156)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.org$apache$spark$sql$catalyst$trees$TreeNode$$parseToJson(TreeNode.scala:598)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$jsonFields$2.apply(TreeNode.scala:562)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$jsonFields$2.apply(TreeNode.scala:553)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.immutable.List.foreach(List.scala:381)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
> at scala.collection.immutable.List.map(List.scala:285)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.jsonFields(TreeNode.scala:553)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.org$apache$spark$sql$catalyst$trees$TreeNode$$collectJsonValue$1(TreeNode.scala:538)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.jsonValue(TreeNode.scala:543)
> at org.apache.spark.sql.catalyst.trees.TreeNode.toJSON(TreeNode.scala:529)
> ... 48 elided
> {code}
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