[
https://issues.apache.org/jira/browse/FLINK-4315?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15622479#comment-15622479
]
ASF GitHub Bot commented on FLINK-4315:
---------------------------------------
Github user fhueske commented on a diff in the pull request:
https://github.com/apache/flink/pull/2637#discussion_r85764470
--- Diff:
flink-batch-connectors/flink-hadoop-compatibility/src/main/java/org/apache/flink/hadoopcompatibility/HadoopInputs.java
---
@@ -0,0 +1,111 @@
+/*
+ * 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.hadoopcompatibility;
+
+import org.apache.flink.annotation.PublicEvolving;
+import org.apache.flink.api.java.hadoop.mapred.HadoopInputFormat;
+import org.apache.hadoop.mapred.JobConf;
+import org.apache.hadoop.mapreduce.Job;
+
+import java.io.IOException;
+
+/**
+ * The HadoopInputs is the utility class for create {@link
HadoopInputFormat}.
--- End diff --
I would make the purpose of the class a bit more explicit.
> HadoopInputs is a utility class to use Apache Hadoop InputFormats with
Apache Flink.
> It provides methods to create Flink `InputFormat` wrappers for Hadoop
`org.apache.hadoop.mapred.InputFormat` and
`org.apache.hadoop.mapreduce.InputFormat`.
> Key value pairs produced by the Hadoop InputFormats are converted into
Flink Tuple2 objects where the first field (`Tuple2.f0`) is the key and the
second field (`Tuple2.f1`) is the value.
> Deprecate Hadoop dependent methods in flink-java
> ------------------------------------------------
>
> Key: FLINK-4315
> URL: https://issues.apache.org/jira/browse/FLINK-4315
> Project: Flink
> Issue Type: Task
> Components: Java API
> Reporter: Stephan Ewen
> Assignee: Evgeny Kincharov
> Fix For: 2.0.0
>
>
> The API projects should be independent of Hadoop, because Hadoop is not an
> integral part of the Flink stack, and we should have the option to offer
> Flink without Hadoop dependencies.
> The current batch APIs have a hard dependency on Hadoop, mainly because the
> API has utility methods like `readHadoopFile(...)`.
> I suggest to deprecate those methods and add helpers in the
> `flink-hadoop-compatibility` project.
> FLINK-4048 will later remove the deprecated methods.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
