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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