Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/12601#discussion_r77946660
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCWriteSuite.scala ---
@@ -208,4 +208,75 @@ class JDBCWriteSuite extends SharedSQLContext with
BeforeAndAfter {
assert(2 === spark.read.jdbc(url1, "TEST.PEOPLE1", properties).count())
assert(2 === spark.read.jdbc(url1, "TEST.PEOPLE1",
properties).collect()(0).length)
}
+
+ test("save works for format(\"jdbc\") if url and dbtable are set") {
+ val df = sqlContext.createDataFrame(sparkContext.parallelize(arr2x2),
schema2)
+
+ df.write.format("jdbc")
+ .options(Map("url" -> url, "dbtable" -> "TEST.BASICCREATETEST"))
+ .save
+
+ assert(2 === sqlContext.read.jdbc(url, "TEST.BASICCREATETEST", new
Properties).count)
+ assert(
+ 2 === sqlContext.read.jdbc(url, "TEST.BASICCREATETEST", new
Properties).collect()(0).length)
+ }
+
+ test("save API with SaveMode.Overwrite") {
+ import scala.collection.JavaConverters._
+
+ val df = spark.createDataFrame(sparkContext.parallelize(arr2x2),
schema2)
+ val df2 = spark.createDataFrame(sparkContext.parallelize(arr1x2),
schema2)
+
+ df.write.format("jdbc")
+ .option("url", url1)
+ .option("dbtable", "TEST.TRUNCATETEST")
+ .options(properties.asScala)
+ .save()
+ df2.write.mode(SaveMode.Overwrite).format("jdbc")
+ .option("url", url1)
+ .option("dbtable", "TEST.TRUNCATETEST")
+ .options(properties.asScala)
+ .save()
+ assert(1 === spark.read.jdbc(url1, "TEST.TRUNCATETEST",
properties).count())
+ assert(2 === spark.read.jdbc(url1, "TEST.TRUNCATETEST",
properties).collect()(0).length)
+ }
+
+ test("save errors if url is not specified") {
+ import scala.collection.JavaConverters._
+ val df = spark.createDataFrame(sparkContext.parallelize(arr2x2),
schema2)
+
+ var e = intercept[RuntimeException] {
+ df.write.format("jdbc")
+ .option("dbtable", "TEST.TRUNCATETEST")
+ .options(properties.asScala)
+ .save()
+ }.getMessage
+ assert(e.contains("Option 'url' is required"))
+ }
+
+ test("save errors if dbtable is not specified") {
+ import scala.collection.JavaConverters._
+ val df = spark.createDataFrame(sparkContext.parallelize(arr2x2),
schema2)
+
+ var e = intercept[RuntimeException] {
+ df.write.format("jdbc")
+ .option("url", url1)
+ .options(properties.asScala)
+ .save()
+ }.getMessage
+ assert(e.contains("Option 'dbtable' is required"))
+ }
+
+ test("save errors if wrong user/password combination") {
+ import scala.collection.JavaConverters._
--- End diff --
How about putting this import in the top with other imports if either is
okay? I understand your point putting this inside but let's just follow the
majority of other codes just to speed up.
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