[ 
https://issues.apache.org/jira/browse/BEAM-7450?focusedWorklogId=259158&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-259158
 ]

ASF GitHub Bot logged work on BEAM-7450:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 12/Jun/19 23:23
            Start Date: 12/Jun/19 23:23
    Worklog Time Spent: 10m 
      Work Description: jkff commented on pull request #8718: [BEAM-7450] Add 
an unbounded HcatalogIO reader using splittable pardo
URL: https://github.com/apache/beam/pull/8718#discussion_r293154570
 
 

 ##########
 File path: 
sdks/java/io/hcatalog/src/main/java/org/apache/beam/sdk/io/hcatalog/PartitionPollerFn.java
 ##########
 @@ -0,0 +1,71 @@
+/*
+ * 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.beam.sdk.io.hcatalog;
+
+import java.util.List;
+import java.util.Map;
+import java.util.stream.Collectors;
+import org.apache.beam.sdk.io.hcatalog.HCatalogIO.Read;
+import org.apache.beam.sdk.transforms.DoFn.Setup;
+import org.apache.beam.sdk.transforms.DoFn.Teardown;
+import org.apache.beam.sdk.transforms.Watch.Growth.PollFn;
+import org.apache.beam.sdk.transforms.Watch.Growth.PollResult;
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.hive.metastore.IMetaStoreClient;
+import org.joda.time.Instant;
+
+/** Unbounded poller to listen for new partitions. */
+public class PartitionPollerFn extends PollFn<Read, Read> {
+  private transient IMetaStoreClient metaStoreClient;
+  private Map<String, String> configProperties;
+
+  public PartitionPollerFn(Map<String, String> configProperties) {
+    this.configProperties = configProperties;
+  }
+
+  @Override
+  public PollResult<Read> apply(Read element, Context c) throws Exception {
+    Instant now = Instant.now();
+    return PollResult.incomplete(now, 
getPartitions(element)).withWatermark(now);
+  }
+
+  private List<Read> getPartitions(Read read) throws Exception {
+    return metaStoreClient.listPartitions(read.getDatabase(), read.getTable(), 
Short.MAX_VALUE)
+        .stream()
+        .map(partition -> read.withPartitionToRead(partition))
+        .collect(Collectors.toList());
+  }
+
+  @Setup
 
 Review comment:
   Poll fns don't have setup or teardown, you need to put this into apply() 
itself.
 
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Issue Time Tracking
-------------------

    Worklog Id:     (was: 259158)
    Time Spent: 6h 10m  (was: 6h)

> Unbounded HCatalogIO Reader using splittable pardos
> ---------------------------------------------------
>
>                 Key: BEAM-7450
>                 URL: https://issues.apache.org/jira/browse/BEAM-7450
>             Project: Beam
>          Issue Type: New Feature
>          Components: sdk-java-core
>            Reporter: Ankit Jhalaria
>            Assignee: Ankit Jhalaria
>            Priority: Minor
>          Time Spent: 6h 10m
>  Remaining Estimate: 0h
>
> # Current version of HcatalogIO is a bounded source.
>  # While migrating our jobs to aws, we realized that it would be helpful to 
> have an unbounded hcat reader that can behave as an unbounded source and 
> polls for new partitions as and when they become available.
>  # I have used splittable pardo(s) to do this. There is a flag that can be 
> set to treat this as a bounded source which will terminate if that flag is 
> set.



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