Github user chiwanpark commented on a diff in the pull request:
https://github.com/apache/flink/pull/1079#discussion_r39031960
--- Diff:
flink-staging/flink-hcatalog/src/main/scala/org/apache/flink/hcatalog/scala/HCatOutputFormat.scala
---
@@ -0,0 +1,449 @@
+/*
+ * 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.flink.hcatalog.scala
+
+import java.io.IOException
+import java.util
+
+import org.apache.flink.api.common.typeinfo.TypeInformation
+import org.apache.flink.api.java.typeutils.TupleTypeInfo
+import org.apache.flink.api.scala.createTypeInformation
+import org.apache.flink.api.scala.typeutils.CaseClassTypeInfo
+import org.apache.flink.hcatalog.HCatOutputFormatBase
+import org.apache.hadoop.conf.Configuration
+import org.apache.hive.hcatalog.data.{DefaultHCatRecord, HCatRecord}
+
+import scala.collection.JavaConversions.mapAsJavaMap
+import scala.collection.JavaConverters._
+
+/*
+ * A OutputFormat to write to HCatalog tables for scala api
+ * The outputFormat supports write to table and partitions through
partitionValue map.
+ *
+ * scala tuple types and {@link HCatRecord} are accepted
+ * as data source. If user want to write other type of data to HCatalog, a
preceding Map function
+ * is required to convert the user data type to {@link HCatRecord}
+ *
+ * The constructor provides type checking and requires import
org.apache.flink.api.scala._ in the
+ * import statement of the user's program when compiling to allow scala
macro to extract type info
+ */
+/**
+ *
+ * @param database hive database name, if null, default database is used
+ * @param table hive table name
+ * @param partitionValues Map of partition values, if null, whole table is
used
+ * @param config the configuration
+ * @tparam T
+ */
+class HCatOutputFormat[T: TypeInformation](
+ database: String,
+ table: String,
+ partitionValues: Map[String,
String],
+ config: Configuration
+ ) extends
+HCatOutputFormatBase[T](database, table, mapAsJavaMap(partitionValues),
config) {
+
+ //get the TypeInformation
+ val ti: TypeInformation[T] = createTypeInformation[T]
+
+
+ //check the types of columns if the input is tuple(case class) type
+ if (ti.isInstanceOf[CaseClassTypeInfo[_]]) {
+ //check the number of columns
+ if (ti.asInstanceOf[CaseClassTypeInfo[_]].getArity !=
this.reqType.getArity) {
+ throw new IOException("tuple has different arity from the table's
column numbers")
+ }
+
+ for (i <- 0 until this.reqType.getArity) {
+ val it = ti.asInstanceOf[CaseClassTypeInfo[_]].getTypeAt(i)
+ val ot = reqType.asInstanceOf[TupleTypeInfo[_]].getTypeAt(i)
+
+ if (!isCompatibleType(it, ot)) {
+ throw new IOException("field has different type from required")
+ }
+ }
+ }
+
+ /**
+ *
+ * @param database hive database name, if null, default database is used
+ * @param table hive table name
+ * @param partitionValues Map of partition values, if null, whole table
is used
+ */
+ def this(database: String, table: String, partitionValues: Map[String,
String]) {
+ this(database, table, partitionValues, new Configuration)
+ }
+
+ //convert the type T to HCatRecord, if T is already HCatRecord, do
nothing
+ override protected def TupleToHCatRecord(record: T): HCatRecord = {
+ if (ti.isInstanceOf[CaseClassTypeInfo[_]]) {
--- End diff --
Need to use pattern matching.
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