Github user JustinPihony commented on a diff in the pull request:
https://github.com/apache/spark/pull/12601#discussion_r77947902
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcRelationProvider.scala
---
@@ -17,39 +17,113 @@
package org.apache.spark.sql.execution.datasources.jdbc
+import java.sql.SQLException
import java.util.Properties
-import org.apache.spark.sql.SQLContext
-import org.apache.spark.sql.sources.{BaseRelation, DataSourceRegister,
RelationProvider}
+import org.apache.spark.sql.{DataFrame, SaveMode, SQLContext}
+import org.apache.spark.sql.sources.{BaseRelation,
CreatableRelationProvider, DataSourceRegister, RelationProvider,
SchemaRelationProvider}
+import org.apache.spark.sql.types.StructType
-class JdbcRelationProvider extends RelationProvider with
DataSourceRegister {
+class JdbcRelationProvider extends CreatableRelationProvider
+ with SchemaRelationProvider with RelationProvider with
DataSourceRegister {
override def shortName(): String = "jdbc"
- /** Returns a new base relation with the given parameters. */
override def createRelation(
sqlContext: SQLContext,
parameters: Map[String, String]): BaseRelation = {
+ createRelation(sqlContext, parameters, null)
+ }
+
+ /** Returns a new base relation with the given parameters. */
+ override def createRelation(
+ sqlContext: SQLContext,
+ parameters: Map[String, String],
+ schema: StructType): BaseRelation = {
val jdbcOptions = new JDBCOptions(parameters)
- if (jdbcOptions.partitionColumn != null
- && (jdbcOptions.lowerBound == null
- || jdbcOptions.upperBound == null
- || jdbcOptions.numPartitions == null)) {
- sys.error("Partitioning incompletely specified")
- }
+ val partitionColumn = jdbcOptions.partitionColumn
+ val lowerBound = jdbcOptions.lowerBound
+ val upperBound = jdbcOptions.upperBound
+ val numPartitions = jdbcOptions.numPartitions
- val partitionInfo = if (jdbcOptions.partitionColumn == null) {
- null
- } else {
+ val partitionInfo = if (partitionColumn == null) null
+ else {
JDBCPartitioningInfo(
- jdbcOptions.partitionColumn,
- jdbcOptions.lowerBound.toLong,
- jdbcOptions.upperBound.toLong,
- jdbcOptions.numPartitions.toInt)
+ partitionColumn, lowerBound.toLong, upperBound.toLong,
numPartitions.toInt)
}
val parts = JDBCRelation.columnPartition(partitionInfo)
val properties = new Properties() // Additional properties that we
will pass to getConnection
parameters.foreach(kv => properties.setProperty(kv._1, kv._2))
- JDBCRelation(jdbcOptions.url, jdbcOptions.table, parts,
properties)(sqlContext.sparkSession)
+ JDBCRelation(jdbcOptions.url, jdbcOptions.table, parts, properties,
+ Option(schema))(sqlContext.sparkSession)
+ }
+
+ /*
+ * The following structure applies to this code:
+ * | tableExists | !tableExists
+
*------------------------------------------------------------------------------------
+ * Ignore | BaseRelation | CreateTable, saveTable,
BaseRelation
+ * ErrorIfExists | ERROR | CreateTable, saveTable,
BaseRelation
+ * Overwrite* | (DropTable, CreateTable,) | CreateTable, saveTable,
BaseRelation
+ * | saveTable, BaseRelation |
+ * Append | saveTable, BaseRelation | CreateTable, saveTable,
BaseRelation
+ *
+ * *Overwrite & tableExists with truncate, will not drop & create, but
instead truncate
+ */
+ override def createRelation(
+ sqlContext: SQLContext,
+ mode: SaveMode,
+ parameters: Map[String, String],
+ data: DataFrame): BaseRelation = {
+ val jdbcOptions = new JDBCOptions(parameters)
+ val url = jdbcOptions.url
+ val table = jdbcOptions.table
+
+ import collection.JavaConverters._
+ val props = new Properties()
+ props.putAll(parameters.asJava)
+ val conn = JdbcUtils.createConnectionFactory(url, props)()
+
+ try {
+ val tableExists = JdbcUtils.tableExists(conn, url, table)
+
+ val (doCreate, doSave) = (mode, tableExists) match {
--- End diff --
I did add a comment in the method signature. That and the variable naming
conventions should cover this.
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