Github user brkyvz commented on a diff in the pull request: https://github.com/apache/spark/pull/18199#discussion_r120182256 --- 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', " + + "must be positive") + } + + val rampUpTimeSeconds = params.get("rampUpTimeSeconds").map(_.toLong).getOrElse(0L) --- End diff -- I wonder if we should take this value as a duration string? e.g. `option("rampUpTime", "5s")`
--- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org