Github user zsxwing commented on a diff in the pull request:
https://github.com/apache/spark/pull/18199#discussion_r121224007
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/RateSourceProvider.scala
---
@@ -0,0 +1,279 @@
+/*
+ * 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
+
+import java.io._
+import java.nio.charset.StandardCharsets
+import java.util.concurrent.TimeUnit
+
+import org.apache.commons.io.IOUtils
+
+import org.apache.spark.internal.Logging
+import org.apache.spark.network.util.JavaUtils
+import org.apache.spark.sql.{DataFrame, SQLContext}
+import org.apache.spark.sql.catalyst.InternalRow
+import org.apache.spark.sql.catalyst.util.{CaseInsensitiveMap,
DateTimeUtils}
+import org.apache.spark.sql.sources.{DataSourceRegister,
StreamSourceProvider}
+import org.apache.spark.sql.types._
+import org.apache.spark.util.{ManualClock, SystemClock}
+
+/**
+ * A source that generates increment long values with timestamps. Each
generated row has two
+ * columns: a timestamp column for the generated time and an auto
increment long column starting
+ * with 0L.
+ *
+ * This source supports the following options:
+ * - `tuplesPerSecond` (e.g. 100, default: 1): How many tuples should be
generated per second.
+ * - `rampUpTime` (e.g. 5s, default: 0s): How long to ramp up before the
generating speed
+ * becomes `tuplesPerSecond`. Using finer granularities than seconds
will be truncated to integer
+ * seconds.
+ * - `numPartitions` (e.g. 10, default: Spark's default parallelism): The
partition number for the
+ * generated tuples. The source will try its best to reach
`tuplesPerSecond`, but the query may
+ * be resource constrained, and `numPartitions` can be tweaked to help
reach the desired speed.
+ */
+class RateSourceProvider extends StreamSourceProvider with
DataSourceRegister {
+
+ override def sourceSchema(
+ sqlContext: SQLContext,
+ schema: Option[StructType],
+ providerName: String,
+ parameters: Map[String, String]): (String, StructType) =
+ (shortName(), RateSourceProvider.SCHEMA)
+
+ override def createSource(
+ sqlContext: SQLContext,
+ metadataPath: String,
+ schema: Option[StructType],
+ providerName: String,
+ parameters: Map[String, String]): Source = {
+ val params = CaseInsensitiveMap(parameters)
+
+ val tuplesPerSecond =
params.get("tuplesPerSecond").map(_.toLong).getOrElse(1L)
+ if (tuplesPerSecond <= 0) {
+ throw new IllegalArgumentException(
+ s"Invalid value '${params("tuplesPerSecond")}'. The option
'tuplesPerSecond' " +
+ "must be positive")
+ }
+
+ val rampUpTimeSeconds =
+
params.get("rampUpTime").map(JavaUtils.timeStringAsSec(_)).getOrElse(0L)
+ if (rampUpTimeSeconds < 0) {
+ throw new IllegalArgumentException(
+ s"Invalid value '${params("rampUpTime")}'. The option 'rampUpTime'
" +
+ "must not be negative")
+ }
+
+ val numPartitions = params.get("numPartitions").map(_.toInt).getOrElse(
+ sqlContext.sparkContext.defaultParallelism)
+ if (numPartitions <= 0) {
+ throw new IllegalArgumentException(
+ s"Invalid value '${params("numPartitions")}'. The option
'numPartitions' " +
+ "must be positive")
+ }
+
+ new RateStreamSource(
+ sqlContext,
+ metadataPath,
+ tuplesPerSecond,
+ rampUpTimeSeconds,
+ numPartitions,
+ params.get("useManualClock").map(_.toBoolean).getOrElse(false) //
Only for testing
+ )
+ }
+ override def shortName(): String = "rate"
+}
+
+object RateSourceProvider {
+ val SCHEMA =
+ StructType(StructField("timestamp", TimestampType) ::
StructField("value", LongType) :: Nil)
+
+ val VERSION = 1
+}
+
+class RateStreamSource(
--- End diff --
I don't think so. The class won't appear in the public Scaladoc/Javadoc.
The user cannot see this tag in any place unless they jump to this file.
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