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From zzcclp <...@git.apache.org>
Subject [GitHub] carbondata pull request #1840: [CARBONDATA-2054]Add an example: how to use C...
Date Mon, 22 Jan 2018 05:32:21 GMT
Github user zzcclp commented on a diff in the pull request:

    https://github.com/apache/carbondata/pull/1840#discussion_r162851674
  
    --- Diff: examples/spark2/src/main/scala/org/apache/carbondata/examples/DStreamWithBatchTableExample.scala
---
    @@ -0,0 +1,228 @@
    +/*
    + * 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.carbondata.examples
    +
    +import java.io.{File, PrintWriter}
    +import java.net.ServerSocket
    +
    +import org.apache.spark.rdd.RDD
    +import org.apache.spark.sql.{CarbonEnv, SaveMode, SparkSession}
    +import org.apache.spark.streaming.{Seconds, StreamingContext, Time}
    +
    +import org.apache.carbondata.core.constants.CarbonCommonConstants
    +import org.apache.carbondata.core.util.CarbonProperties
    +import org.apache.carbondata.core.util.path.{CarbonStorePath, CarbonTablePath}
    +
    +/**
    + * This example introduces how to use CarbonData batch load to integrate
    + * with Spark Streaming(it's DStream, not Spark Structured Streaming)
    + */
    +// scalastyle:off println
    +
    +case class DStreamData(id: Int, name: String, city: String, salary: Float)
    +
    +object DStreamWithBatchTableExample {
    +
    +  def main(args: Array[String]): Unit = {
    +
    +    // setup paths
    +    val rootPath = new File(this.getClass.getResource("/").getPath
    +                            + "../../../..").getCanonicalPath
    +    val storeLocation = s"$rootPath/examples/spark2/target/store"
    --- End diff --
    
    Done


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