Github user brkyvz commented on a diff in the pull request:
https://github.com/apache/spark/pull/18199#discussion_r120182033
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/RateSourceProvider.scala
---
@@ -0,0 +1,208 @@
+/*
+ * 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.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` (default: 1): How many tuples should be generated
per second.
+ * - `rampUpTimeSeconds` (default: 0): How many seconds to ramp up before
the generating speed
+ * becomes `tuplesPerSecond`.
+ * - `numPartitions` (default: Spark's default parallelism): The
partition number for the generated
+ * tuples.
+ */
+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 '${params("tuplesPerSecond")}' for option
'tuplesPerSecond', " +
--- End diff --
nit: `Invalid value '${params("tuplesPerSecond")}'. The option
'tuplesPerSecond' must be a positive`?
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