[SPARK-5193][SQL] Remove Spark SQL Java-specific API.

After the following patches, the main (Scala) API is now usable for Java users directly.

https://github.com/apache/spark/pull/4056
https://github.com/apache/spark/pull/4054
https://github.com/apache/spark/pull/4049
https://github.com/apache/spark/pull/4030
https://github.com/apache/spark/pull/3965
https://github.com/apache/spark/pull/3958

Author: Reynold Xin <rxin@databricks.com>

Closes #4065 from rxin/sql-java-api and squashes the following commits:

b1fd860 [Reynold Xin] Fix Mima
6d86578 [Reynold Xin] Ok one more attempt in fixing Python...
e8f1455 [Reynold Xin] Fix Python again...
3e53f91 [Reynold Xin] Fixed Python.
83735da [Reynold Xin] Fix BigDecimal test.
e9f1de3 [Reynold Xin] Use scala BigDecimal.
500d2c4 [Reynold Xin] Fix Decimal.
ba3bfa2 [Reynold Xin] Updated javadoc for RowFactory.
c4ae1c5 [Reynold Xin] [SPARK-5193][SQL] Remove Spark SQL Java-specific API.

1 files changed, 0 insertions, 91 deletions

diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/api/java/JavaHiveQLSuite.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/api/java/JavaHiveQLSuite.scala
deleted file mode 100644
index ca78dfba4f..0000000000
--- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/api/java/JavaHiveQLSuite.scala
+++ /dev/null
@@ -1,91 +0,0 @@
-/*
- * Licensed to the Apache Software Foundation (ASF) under one or more
- * contributor license agreements.  See the NOTICE file distributed with
- * this work for additional information regarding copyright ownership.
- * The ASF licenses this file to You under the Apache License, Version 2.0
- * (the "License"); you may not use this file except in compliance with
- * the License.  You may obtain a copy of the License at
- *
- *    http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-package org.apache.spark.sql.hive.api.java
-
-import scala.util.Try
-
-import org.scalatest.FunSuite
-
-import org.apache.spark.api.java.JavaSparkContext
-import org.apache.spark.sql.api.java.{JavaSQLContext, JavaSchemaRDD}
-import org.apache.spark.sql.execution.ExplainCommand
-import org.apache.spark.sql.hive.test.TestHive
-
-// Implicits
-import scala.collection.JavaConversions._
-
-class JavaHiveQLSuite extends FunSuite {
-  lazy val javaCtx = new JavaSparkContext(TestHive.sparkContext)
-
-  // There is a little trickery here to avoid instantiating two HiveContexts in the same JVM
-  lazy val javaHiveCtx = new JavaHiveContext(TestHive)
-
-  test("SELECT * FROM src") {
-    assert(
-      javaHiveCtx.sql("SELECT * FROM src").collect().map(_.getInt(0)) ===
-        TestHive.sql("SELECT * FROM src").collect().map(_.getInt(0)).toSeq)
-  }
-
-  def isExplanation(result: JavaSchemaRDD) = {
-    val explanation = result.collect().map(_.getString(0))
-    explanation.size > 1 && explanation.head.startsWith("== Physical Plan ==")
-  }
-
-  test("Query Hive native command execution result") {
-    val tableName = "test_native_commands"
-
-    assertResult(0) {
-      javaHiveCtx.sql(s"DROP TABLE IF EXISTS $tableName").count()
-    }
-
-    assertResult(0) {
-      javaHiveCtx.sql(s"CREATE TABLE $tableName(key INT, value STRING)").count()
-    }
-
-    assert(
-      javaHiveCtx
-        .sql("SHOW TABLES")
-        .collect()
-        .map(_.getString(0))
-        .contains(tableName))
-
-    assertResult(Array(Array("key", "int"), Array("value", "string"))) {
-      javaHiveCtx
-        .sql(s"describe $tableName")
-        .collect()
-        .map(row => Array(row.get(0).asInstanceOf[String], row.get(1).asInstanceOf[String]))
-        .toArray
-    }
-
-    assert(isExplanation(javaHiveCtx.sql(
-      s"EXPLAIN SELECT key, COUNT(*) FROM $tableName GROUP BY key")))
-
-    TestHive.reset()
-  }
-
-  test("Exactly once semantics for DDL and command statements") {
-    val tableName = "test_exactly_once"
-    val q0 = javaHiveCtx.sql(s"CREATE TABLE $tableName(key INT, value STRING)")
-
-    // If the table was not created, the following assertion would fail
-    assert(Try(TestHive.table(tableName)).isSuccess)
-
-    // If the CREATE TABLE command got executed again, the following assertion would fail
-    assert(Try(q0.count()).isSuccess)
-  }
-}