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From tdas <...@git.apache.org>
Subject [GitHub] spark pull request: [SPARK-13809][SQL] State store for streaming a...
Date Tue, 22 Mar 2016 00:01:37 GMT
Github user tdas commented on a diff in the pull request:

    https://github.com/apache/spark/pull/11645#discussion_r56918528
  
    --- Diff: sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/HDFSBackedStateStoreProvider.scala
---
    @@ -0,0 +1,597 @@
    +/*
    + * 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.execution.streaming.state
    +
    +import java.io.{DataInputStream, DataOutputStream}
    +
    +import scala.collection.JavaConverters._
    +import scala.collection.mutable
    +import scala.util.Random
    +import scala.util.control.NonFatal
    +
    +import com.google.common.io.ByteStreams
    +import org.apache.hadoop.conf.Configuration
    +import org.apache.hadoop.fs.{FileStatus, Path}
    +
    +import org.apache.spark.SparkConf
    +import org.apache.spark.internal.Logging
    +import org.apache.spark.io.LZ4CompressionCodec
    +import org.apache.spark.serializer.KryoSerializer
    +import org.apache.spark.sql.catalyst.expressions.UnsafeRow
    +import org.apache.spark.sql.types.StructType
    +import org.apache.spark.util.Utils
    +
    +
    +/**
    + * An implementation of [[StateStoreProvider]] and [[StateStore]] in which all the data
is backed
    + * by files in a HDFS-compatible file system. All updates to the store has to be done
in sets
    + * transactionally, and each set of updates increments the store's version. These versions
can
    + * be used to re-execute the updates (by retries in RDD operations) on the correct version
of
    + * the store, and regenerate the store version.
    + *
    + * Usage:
    + * To update the data in the state store, the following order of operations are needed.
    + *
    + * - val store = StateStore.get(operatorId, partitionId, version) // to get the right
store
    + * - store.update(...)
    + * - store.remove(...)
    + * - store.commit()    // commits all the updates to made with version number
    + * - store.iterator()  // key-value data after last commit as an iterator
    + * - store.updates()   // updates made in the last as an iterator
    + *
    + * Fault-tolerance model:
    --- End diff --
    
    Good point.


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