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From echauc...@apache.org
Subject [beam] 03/50: Add SparkPipelineOptions
Date Fri, 04 Jan 2019 10:38:25 GMT
This is an automated email from the ASF dual-hosted git repository.

echauchot pushed a commit to branch spark-runner_structured-streaming
in repository https://gitbox.apache.org/repos/asf/beam.git

commit 018c77329fcfc96276c9a98249c9ddb3fab10278
Author: Etienne Chauchot <echauchot@apache.org>
AuthorDate: Wed Nov 14 15:24:28 2018 +0100

    Add SparkPipelineOptions
---
 .../structuredstreaming/SparkPipelineOptions.java  | 106 +++++++++++++++++++++
 1 file changed, 106 insertions(+)

diff --git a/runners/spark-structured-streaming/src/main/java/org/apache/beam/runners/spark/structuredstreaming/SparkPipelineOptions.java
b/runners/spark-structured-streaming/src/main/java/org/apache/beam/runners/spark/structuredstreaming/SparkPipelineOptions.java
new file mode 100644
index 0000000..d381b5f
--- /dev/null
+++ b/runners/spark-structured-streaming/src/main/java/org/apache/beam/runners/spark/structuredstreaming/SparkPipelineOptions.java
@@ -0,0 +1,106 @@
+/*
+ * 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.beam.runners.spark.structuredstreaming;
+
+import java.util.List;
+import org.apache.beam.sdk.annotations.Experimental;
+import org.apache.beam.sdk.options.ApplicationNameOptions;
+import org.apache.beam.sdk.options.Default;
+import org.apache.beam.sdk.options.DefaultValueFactory;
+import org.apache.beam.sdk.options.Description;
+import org.apache.beam.sdk.options.PipelineOptions;
+import org.apache.beam.sdk.options.StreamingOptions;
+
+/**
+ * Spark runner {@link PipelineOptions} handles Spark execution-related configurations, such
as the
+ * master address, and other user-related knobs.
+ */
+public interface SparkPipelineOptions
+    extends PipelineOptions, StreamingOptions, ApplicationNameOptions {
+
+  @Description("The url of the spark master to connect to, (e.g. spark://host:port, local[4]).")
+  @Default.String("local[4]")
+  String getSparkMaster();
+
+  void setSparkMaster(String master);
+
+  @Description("Batch default storage level")
+  @Default.String("MEMORY_ONLY")
+  String getStorageLevel();
+
+  void setStorageLevel(String storageLevel);
+
+  @Description(
+      "A checkpoint directory for streaming resilience, ignored in batch. "
+          + "For durability, a reliable filesystem such as HDFS/S3/GS is necessary.")
+  @Default.InstanceFactory(TmpCheckpointDirFactory.class)
+  String getCheckpointDir();
+
+  void setCheckpointDir(String checkpointDir);
+
+  /**
+   * Returns the default checkpoint directory of /tmp/${job.name}. For testing purposes only.
+   * Production applications should use a reliable filesystem such as HDFS/S3/GS.
+   */
+  class TmpCheckpointDirFactory implements DefaultValueFactory<String> {
+    @Override
+    public String create(PipelineOptions options) {
+      return "/tmp/" + options.as(SparkPipelineOptions.class).getJobName();
+    }
+  }
+
+  @Description(
+      "The period to checkpoint (in Millis). If not set, Spark will default "
+          + "to Max(slideDuration, Seconds(10)). This PipelineOptions default (-1) will end-up
"
+          + "with the described Spark default.")
+  @Default.Long(-1)
+  Long getCheckpointDurationMillis();
+
+  void setCheckpointDurationMillis(Long durationMillis);
+
+  @Description(
+      "If set bundleSize will be used for splitting BoundedSources, otherwise default to
"
+          + "splitting BoundedSources on Spark defaultParallelism. Most effective when used
with "
+          + "Spark dynamicAllocation.")
+  @Default.Long(0)
+  Long getBundleSize();
+
+  @Experimental
+  void setBundleSize(Long value);
+
+  @Description("Enable/disable sending aggregator values to Spark's metric sinks")
+  @Default.Boolean(true)
+  Boolean getEnableSparkMetricSinks();
+
+  void setEnableSparkMetricSinks(Boolean enableSparkMetricSinks);
+
+
+  /**
+   * List of local files to make available to workers.
+   *
+   * <p>Jars are placed on the worker's classpath.
+   *
+   * <p>The default value is the list of jars from the main program's classpath.
+   */
+  @Description(
+      "Jar-Files to send to all workers and put on the classpath. "
+          + "The default value is all files from the classpath.")
+  List<String> getFilesToStage();
+
+  void setFilesToStage(List<String> value);
+}


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