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

    https://github.com/apache/spark/pull/20382#discussion_r163730153
  
    --- 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)
    +
    +  @GuardedBy("this")
    +  private var socket: Socket = _
    +
    +  @GuardedBy("this")
    +  private var readThread: Thread = _
    +
    +  @GuardedBy("this")
    +  private val batches = new ListBuffer[(String, Timestamp)]
    +
    +  private val currentOffset = new AtomicLong(-1L)
    +
    +  private var initialized = false
    +
    +  @GuardedBy("this")
    +  private var lastOffsetCommitted: Long = -1L
    +
    +  override def setOffsetRange(start: Optional[Offset], end: 
Optional[Offset]): Unit = {
    +    if (!initialized) {
    --- End diff --
    
    I don't think this will solve that problem, since each reader will just 
have its own initialize bit.
    
    In general, I think it's fine if we do a bit of extra work. V1 sources do 
have to support being created multiple times (in e.g. restart scenarios), and 
the lifecycles of the two V2 readers being created here don't overlap. (We 
should be closing the tempReader created in DataStreamReader, though.)


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