Github user jose-torres commented on a diff in the pull request:

    https://github.com/apache/spark/pull/20382#discussion_r163613655
  
    --- Diff: 
sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/sources/TextSocketStreamSourceV2.scala
 ---
    @@ -0,0 +1,247 @@
    +/*
    + * 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.sources
    +
    +import java.io.{BufferedReader, InputStreamReader, IOException}
    +import java.net.Socket
    +import java.sql.Timestamp
    +import java.text.SimpleDateFormat
    +import java.util._
    +import java.util.{List => JList}
    +import java.util.concurrent.atomic.AtomicLong
    +import javax.annotation.concurrent.GuardedBy
    +
    +import scala.collection.JavaConverters._
    +import scala.collection.mutable.ListBuffer
    +import scala.util.{Failure, Success, Try}
    +
    +import org.apache.spark.internal.Logging
    +import org.apache.spark.sql.{AnalysisException, Row}
    +import org.apache.spark.sql.sources.DataSourceRegister
    +import org.apache.spark.sql.sources.v2.{DataSourceV2, DataSourceV2Options}
    +import org.apache.spark.sql.sources.v2.reader.{DataReader, ReadTask}
    +import org.apache.spark.sql.sources.v2.streaming.MicroBatchReadSupport
    +import org.apache.spark.sql.sources.v2.streaming.reader.{MicroBatchReader, 
Offset}
    +import org.apache.spark.sql.types.{StringType, StructField, StructType, 
TimestampType}
    +
    +
    +object TextSocketSourceProviderV2 {
    +  val HOST = "host"
    +  val PORT = "port"
    +  val INCLUDE_TIMESTAMP = "includeTimestamp"
    +  val NUM_PARTITIONS = "numPartitions"
    +  val SCHEMA_REGULAR = StructType(StructField("value", StringType) :: Nil)
    +  val SCHEMA_TIMESTAMP = StructType(StructField("value", StringType) ::
    +    StructField("timestamp", TimestampType) :: Nil)
    +  val DATE_FORMAT = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss", Locale.US)
    +}
    +
    +class TextSocketSourceProviderV2 extends DataSourceV2
    +    with MicroBatchReadSupport with DataSourceRegister with Logging {
    +  override def shortName(): String = "socketv2"
    +
    +  override def createMicroBatchReader(
    +      schema: Optional[StructType],
    +      checkpointLocation: String,
    +      options: DataSourceV2Options): MicroBatchReader = {
    +    logWarning("The socket source should not be used for production 
applications! " +
    +      "It does not support recovery.")
    +    if (!options.get(TextSocketSourceProviderV2.HOST).isPresent) {
    +      throw new AnalysisException("Set a host to read from with 
option(\"host\", ...).")
    +    }
    +    if (!options.get(TextSocketSourceProviderV2.PORT).isPresent) {
    +      throw new AnalysisException("Set a port to read from with 
option(\"port\", ...).")
    +    }
    +    if (schema.isPresent) {
    +      throw new AnalysisException("The socket source does not support a 
user-specified schema.")
    +    }
    +
    +    if 
(options.get(TextSocketSourceProviderV2.INCLUDE_TIMESTAMP).isPresent) {
    +      
Try(options.get(TextSocketSourceProviderV2.INCLUDE_TIMESTAMP).get().toBoolean) 
match {
    +        case Success(bool) =>
    +        case Failure(_) =>
    +          throw new AnalysisException(
    +            "includeTimestamp must be set to either \"true\" or \"false\"")
    +      }
    +    }
    +
    +    new TextSocketStreamMicroBatchReader(options)
    +  }
    +}
    +
    +case class TextSocketStreamOffset(offset: Long) extends Offset {
    +  override def json(): String = offset.toString
    +}
    +
    +class TextSocketStreamMicroBatchReader(options: DataSourceV2Options)
    +  extends MicroBatchReader with Logging {
    +
    +  import TextSocketSourceProviderV2._
    +
    +  private var start: TextSocketStreamOffset = _
    +  private var end: TextSocketStreamOffset = _
    +
    +  private val host = options.get(HOST).get()
    +  private val port = options.get(PORT).get().toInt
    +  private val includeTimestamp = options.getBoolean(INCLUDE_TIMESTAMP, 
false)
    +  private val numPartitions = options.getInt(NUM_PARTITIONS, 1)
    --- End diff --
    
    To match the old parallelize behavior, the default number of partitions 
should be sparkContext.defaultParallelism.


---

---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org
For additional commands, e-mail: reviews-h...@spark.apache.org

Reply via email to