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From tdas <...@git.apache.org>
Subject [GitHub] spark pull request #16970: [SPARK-19497][SS]Implement streaming deduplicatio...
Date Sat, 18 Feb 2017 01:15:18 GMT
Github user tdas commented on a diff in the pull request:

    https://github.com/apache/spark/pull/16970#discussion_r101878004
  
    --- Diff: sql/core/src/test/scala/org/apache/spark/sql/streaming/DeduplicationSuite.scala
---
    @@ -0,0 +1,235 @@
    +/*
    + * 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.streaming
    +
    +import org.scalatest.BeforeAndAfterAll
    +
    +import org.apache.spark.sql.catalyst.streaming.InternalOutputModes._
    +import org.apache.spark.sql.execution.streaming.MemoryStream
    +import org.apache.spark.sql.execution.streaming.state.StateStore
    +import org.apache.spark.sql.functions._
    +
    +class DeduplicationSuite extends StreamTest with BeforeAndAfterAll {
    +
    +  import testImplicits._
    +
    +  override def afterAll(): Unit = {
    +    super.afterAll()
    +    StateStore.stop()
    +  }
    +
    +  test("deduplication") {
    +    val inputData = MemoryStream[String]
    +    val result = inputData.toDS().dropDuplicates()
    +
    +    testStream(result, Append)(
    +      AddData(inputData, "a"),
    +      CheckLastBatch("a"),
    +      assertNumStateRows(total = 1, updated = 1),
    +      AddData(inputData, "a"),
    +      CheckLastBatch(),
    +      assertNumStateRows(total = 1, updated = 0),
    +      AddData(inputData, "b"),
    +      CheckLastBatch("b"),
    +      assertNumStateRows(total = 2, updated = 1)
    +    )
    +  }
    +
    +  test("deduplication with columns") {
    +    val inputData = MemoryStream[(String, Int)]
    +    val result = inputData.toDS().dropDuplicates("_1")
    +
    +    testStream(result, Append)(
    +      AddData(inputData, "a" -> 1),
    +      CheckLastBatch("a" -> 1),
    +      assertNumStateRows(total = 1, updated = 1),
    +      AddData(inputData, "a" -> 2), // Dropped
    +      CheckLastBatch(),
    +      assertNumStateRows(total = 1, updated = 0),
    +      AddData(inputData, "b" -> 1),
    +      CheckLastBatch("b" -> 1),
    +      assertNumStateRows(total = 2, updated = 1)
    +    )
    +  }
    +
    +  test("multiple deduplications") {
    +    val inputData = MemoryStream[(String, Int)]
    +    val result = inputData.toDS().dropDuplicates().dropDuplicates("_1")
    +
    +    testStream(result, Append)(
    +      AddData(inputData, "a" -> 1),
    +      CheckLastBatch("a" -> 1),
    +      assertNumStateRows(total = Seq(1L, 1L), updated = Seq(1L, 1L)),
    +
    +      AddData(inputData, "a" -> 2), // Dropped from the second `dropDuplicates`
    +      CheckLastBatch(),
    +      assertNumStateRows(total = Seq(1L, 2L), updated = Seq(0L, 1L)),
    +
    +      AddData(inputData, "b" -> 1),
    +      CheckLastBatch("b" -> 1),
    +      assertNumStateRows(total = Seq(2L, 3L), updated = Seq(1L, 1L))
    +    )
    +  }
    +
    +  test("deduplication with watermark") {
    +    val inputData = MemoryStream[Int]
    +    val result = inputData.toDS()
    +      .withColumn("eventTime", $"value".cast("timestamp"))
    +      .withWatermark("eventTime", "10 seconds")
    +      .dropDuplicates()
    +      .select($"eventTime".cast("long").as[Long])
    +
    +    testStream(result, Append)(
    +      AddData(inputData, (1 to 5).flatMap(_ => (10 to 15)): _*),
    +      CheckLastBatch(10 to 15: _*),
    +      assertNumStateRows(total = 6, updated = 6),
    +
    +      AddData(inputData, 25), // Advance watermark to 15 seconds
    +      CheckLastBatch(25),
    +      assertNumStateRows(total = 7, updated = 1),
    +
    +      AddData(inputData, 25), // Drop states less than watermark
    +      CheckLastBatch(),
    +      assertNumStateRows(total = 1, updated = 0),
    +
    +      AddData(inputData, 10), // Should not emit anything as data less than watermark
    +      CheckLastBatch(),
    +      assertNumStateRows(total = 1, updated = 0),
    +
    +      AddData(inputData, 45), // Advance watermark to 35 seconds
    +      CheckLastBatch(45),
    +      assertNumStateRows(total = 2, updated = 1),
    +
    +      AddData(inputData, 45), // Drop states less than watermark
    +      CheckLastBatch(),
    +      assertNumStateRows(total = 1, updated = 0)
    +    )
    +  }
    +
    +  test("deduplication with aggregation - append") {
    +    val inputData = MemoryStream[Int]
    +    val windowedAggregation = inputData.toDS()
    +      .withColumn("eventTime", $"value".cast("timestamp"))
    +      .withWatermark("eventTime", "10 seconds")
    +      .dropDuplicates()
    +      .withWatermark("eventTime", "10 seconds")
    +      .groupBy(window($"eventTime", "5 seconds") as 'window)
    +      .agg(count("*") as 'count)
    +      .select($"window".getField("start").cast("long").as[Long], $"count".as[Long])
    +
    +    testStream(windowedAggregation)(
    +      AddData(inputData, (1 to 5).flatMap(_ => (10 to 15)): _*),
    +      CheckLastBatch(),
    +      // states in aggregation in [10, 14), [15, 20) (2 windows)
    +      // states in deduplication is 10 to 15
    +      assertNumStateRows(total = Seq(2L, 6L), updated = Seq(2L, 6L)),
    +
    +      AddData(inputData, 25), // Advance watermark to 15 seconds
    +      CheckLastBatch(),
    +      // states in aggregation in [10, 14), [15, 20) and [25, 30) (3 windows)
    +      // states in deduplication is 10 to 15 and 25
    +      assertNumStateRows(total = Seq(3L, 7L), updated = Seq(1L, 1L)),
    +
    +      AddData(inputData, 25), // Emit items less than watermark and drop their state
    +      CheckLastBatch((10 -> 5)), // 5 items (10 to 14) after deduplication
    +      // states in aggregation in [15, 20) and [25, 30) (2 windows, note aggregation
uses the end of
    +      // window to evict items, so [15, 20) is still in the state store)
    +      // states in deduplication is 25
    +      assertNumStateRows(total = Seq(2L, 1L), updated = Seq(0L, 0L)),
    +
    +      AddData(inputData, 10), // Should not emit anything as data less than watermark
    +      CheckLastBatch(),
    +      assertNumStateRows(total = Seq(2L, 1L), updated = Seq(0L, 0L)),
    +
    +      AddData(inputData, 40), // Advance watermark to 30 seconds
    +      CheckLastBatch(),
    +      // states in aggregation in [15, 20), [25, 30) and [40, 45)
    +      // states in deduplication is 25 and 40,
    +      assertNumStateRows(total = Seq(3L, 2L), updated = Seq(1L, 1L)),
    +
    +      AddData(inputData, 40), // Emit items less than watermark and drop their state
    +      CheckLastBatch((15 -> 1), (25 -> 1)),
    +        // states in aggregation in [40, 45)
    +      // states in deduplication is 40,
    +      assertNumStateRows(total = Seq(1L, 1L), updated = Seq(0L, 0L))
    +    )
    +  }
    +
    +  test("deduplication with aggregation - update") {
    --- End diff --
    
    nit: update mode


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