Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/16621#discussion_r96570432
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSourceStrategy.scala
---
@@ -215,37 +215,44 @@ case class DataSourceAnalysis(conf: CatalystConf)
extends Rule[LogicalPlan] {
/**
- * Replaces [[SimpleCatalogRelation]] with data source table if its table
property contains data
- * source information.
+ * Replaces [[SimpleCatalogRelation]] with data source table if its table
provider is not hive.
*/
class FindDataSourceTable(sparkSession: SparkSession) extends
Rule[LogicalPlan] {
- private def readDataSourceTable(
- sparkSession: SparkSession,
- simpleCatalogRelation: SimpleCatalogRelation): LogicalPlan = {
- val table = simpleCatalogRelation.catalogTable
- val pathOption = table.storage.locationUri.map("path" -> _)
- val dataSource =
- DataSource(
- sparkSession,
- userSpecifiedSchema = Some(table.schema),
- partitionColumns = table.partitionColumnNames,
- bucketSpec = table.bucketSpec,
- className = table.provider.get,
- options = table.storage.properties ++ pathOption)
-
- LogicalRelation(
- dataSource.resolveRelation(),
- expectedOutputAttributes = Some(simpleCatalogRelation.output),
- catalogTable = Some(table))
+ private def readDataSourceTable(relation: SimpleCatalogRelation):
LogicalPlan = {
+ val table = relation.catalogTable
+ val cache = sparkSession.sessionState.catalog.tableRelationCache
+ val withHiveSupport =
+
sparkSession.sparkContext.conf.get(StaticSQLConf.CATALOG_IMPLEMENTATION) ==
"hive"
+
+ cache.get(table.qualifiedIdentifier, new Callable[LogicalPlan]() {
+ override def call(): LogicalPlan = {
+ val pathOption = table.storage.locationUri.map("path" -> _)
+ val dataSource =
+ DataSource(
+ sparkSession,
+ userSpecifiedSchema = Some(table.schema),
--- End diff --
```
// In older version(prior to 2.1) of Spark, the table schema
can be empty and should be
// inferred at runtime. We should still support it.
```
Is it still valid?
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