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Posted to dev@pirk.apache.org by ellisonanne <gi...@git.apache.org> on 2016/08/22 21:35:48 UTC
[GitHub] incubator-pirk pull request #76: [PIRK-21] [WIP] - Initial Spark Streaming R...
GitHub user ellisonanne opened a pull request:
https://github.com/apache/incubator-pirk/pull/76
[PIRK-21] [WIP] - Initial Spark Streaming Responder Implementation
The initial Spark Streaming Responder implementation, including corresponding distributed tests. Initial input adaptors only include HDFS and Elasticsearch; additional adaptors (Kafka, etc) will be added as subsequent JIRAs.
Marking this PR as a WIP until scale testing is completed; functional testing via new streaming tests within the DistributedTestSuite is complete.
Comments/suggestions welcome!
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/ellisonanne/incubator-pirk pirk-21
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/incubator-pirk/pull/76.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #76
----
commit 74a6f11a1af491cc3b722af3fbb25b9342025b64
Author: ellisonanne <ea...@apache.org>
Date: 2016-07-29T19:45:21Z
Merge pull request #5 from apache/master
up
commit 42f3e8400f810377a4bae06638fc13c0e37707f3
Author: ellisonanne <ea...@apache.org>
Date: 2016-07-31T17:47:15Z
Merge pull request #6 from apache/master
updating fork
commit 887358883d26940845a3486b0dc87cd0cc6c3807
Author: ellisonanne <ea...@apache.org>
Date: 2016-08-01T13:06:35Z
Merge pull request #7 from apache/master
up
commit 2ad5c619084af2517cd135374f93be20410cc45c
Author: ellisonanne <ea...@apache.org>
Date: 2016-08-02T16:22:53Z
Merge pull request #8 from apache/master
updating fork
commit d3c6eeb37a0300ea882c0bb2bcd2939132e7e5cb
Author: Ellison Anne Williams <ea...@apache.org>
Date: 2016-08-06T14:23:24Z
Merge pull request #9 from apache/master
updating fork
commit 381f3529f97fa38b7b06be015c7b82471c8b95d5
Author: Ellison Anne Williams <ea...@apache.org>
Date: 2016-08-11T13:22:15Z
Merge pull request #10 from apache/master
updating fork
commit 6ab035dd32fc4e3464cfb377ccb3493ecf9a313d
Author: Ellison Anne Williams <ea...@apache.org>
Date: 2016-08-12T21:19:23Z
Merge pull request #11 from apache/master
up
commit 47a933f9c1d6c6c80f7b61ba5856a84af8162dca
Author: Ellison Anne Williams <ea...@apache.org>
Date: 2016-08-13T12:31:25Z
Merge pull request #12 from apache/master
up
commit 6ba5ed4b3ce4983f1e1aa958b6f55180613fa1a1
Author: Ellison Anne Williams <ea...@apache.org>
Date: 2016-08-16T13:30:13Z
Merge pull request #13 from apache/master
updating fork
commit 43818205074456b8e16aa09bb408706bfb9608ed
Author: Ellison Anne Williams <ea...@apache.org>
Date: 2016-08-18T17:38:55Z
Merge pull request #14 from apache/master
updating fork
commit 9da10044342663526b3456aa894f204f697a2866
Author: Ellison Anne Williams <ea...@apache.org>
Date: 2016-08-19T13:54:59Z
Merge pull request #15 from apache/master
updating fork
commit 195c518a8e4d0b131d47fbbe84f8183bdde164ec
Author: Ellison Anne Williams <ea...@apache.org>
Date: 2016-08-19T19:00:44Z
Merge pull request #16 from apache/master
various cleanup items - closes apache/incubator-pirk#73
commit b2cb424017a726ad1334818ee7b1f8d5cc6a6581
Author: eawilliams <ea...@apache.org>
Date: 2016-08-22T20:56:08Z
initial spark streaming responder
commit d306c6e85b264064d52b3c34929347e4401970c8
Author: eawilliams <ea...@apache.org>
Date: 2016-08-22T21:28:08Z
updating DistTestSuite
----
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[GitHub] incubator-pirk pull request #76: [PIRK-21] [WIP] - Initial Spark Streaming R...
Posted by tellison <gi...@git.apache.org>.
Github user tellison commented on a diff in the pull request:
https://github.com/apache/incubator-pirk/pull/76#discussion_r75841051
--- Diff: src/main/java/org/apache/pirk/responder/wideskies/spark/streaming/ComputeStreamingResponse.java ---
@@ -0,0 +1,467 @@
+/*
+ * 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.pirk.responder.wideskies.spark.streaming;
+
+import java.math.BigInteger;
+import java.util.LinkedList;
+import java.util.List;
+import java.util.Queue;
+
+import org.apache.hadoop.fs.FileSystem;
+import org.apache.hadoop.io.MapWritable;
+import org.apache.hadoop.io.Text;
+import org.apache.hadoop.mapreduce.Job;
+import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
+import org.apache.pirk.inputformat.hadoop.BaseInputFormat;
+import org.apache.pirk.inputformat.hadoop.InputFormatConst;
+import org.apache.pirk.query.wideskies.Query;
+import org.apache.pirk.query.wideskies.QueryInfo;
+import org.apache.pirk.responder.wideskies.spark.Accumulators;
+import org.apache.pirk.responder.wideskies.spark.BroadcastVars;
+import org.apache.pirk.responder.wideskies.spark.EncColMultGroupedMapper;
+import org.apache.pirk.responder.wideskies.spark.EncColMultReducer;
+import org.apache.pirk.responder.wideskies.spark.EncRowCalc;
+import org.apache.pirk.responder.wideskies.spark.FilterData;
+import org.apache.pirk.responder.wideskies.spark.HashSelectorsAndPartitionData;
+import org.apache.pirk.schema.data.DataSchema;
+import org.apache.pirk.schema.data.DataSchemaLoader;
+import org.apache.pirk.schema.data.DataSchemaRegistry;
+import org.apache.pirk.schema.query.QuerySchema;
+import org.apache.pirk.schema.query.QuerySchemaLoader;
+import org.apache.pirk.schema.query.QuerySchemaRegistry;
+import org.apache.pirk.serialization.HadoopFileSystemStore;
+import org.apache.pirk.utils.PIRException;
+import org.apache.pirk.utils.SystemConfiguration;
+import org.apache.spark.SparkConf;
+import org.apache.spark.api.java.JavaPairRDD;
+import org.apache.spark.api.java.JavaRDD;
+import org.apache.spark.api.java.JavaSparkContext;
+import org.apache.spark.api.java.function.Function;
+import org.apache.spark.api.java.function.VoidFunction;
+import org.apache.spark.streaming.Durations;
+import org.apache.spark.streaming.api.java.JavaDStream;
+import org.apache.spark.streaming.api.java.JavaPairDStream;
+import org.apache.spark.streaming.api.java.JavaPairInputDStream;
+import org.apache.spark.streaming.api.java.JavaStreamingContext;
+import org.elasticsearch.hadoop.mr.EsInputFormat;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+/**
+ * Master class for the PIR query spark streaming application
+ * <p>
+ * NOTE:
+ * <p>
+ * - NOT using Elasticsearch in practice - proved to be some speed issues with ES and Spark that appear to be ES-Spark specific - leave code in anticipation
+ * that the ES-Spark issues resolve...
+ * <p>
+ * - Even if rdd.count() calls are embedded in logger.debug statements, they are computed by Spark. Thus, they are commented out in the code below - uncomment
+ * for rdd.count() debug
--- End diff --
Surround with a ```logger.isDebugEnabled()``` check.
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[GitHub] incubator-pirk pull request #76: [PIRK-21] [WIP] - Initial Spark Streaming R...
Posted by ellisonanne <gi...@git.apache.org>.
Github user ellisonanne commented on a diff in the pull request:
https://github.com/apache/incubator-pirk/pull/76#discussion_r75877912
--- Diff: src/main/resources/pirk.properties ---
@@ -28,7 +28,8 @@ local.pirk.properties.dir=/root/
##
##Spark path for SparkLauncher
##
-spark.home = /usr
+#spark.home = /usr
+spark.home=/opt/cloudera/parcels/CDH/lib/spark
--- End diff --
Yes, this is for the CDH cluster that I am doing some of the testing on - I will remove it
(It is, however, an example of how to alternately set the spark.home property for different cluster configurations)
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[GitHub] incubator-pirk issue #76: [PIRK-21] - Initial Spark Streaming Responder Impl...
Posted by ellisonanne <gi...@git.apache.org>.
Github user ellisonanne commented on the issue:
https://github.com/apache/incubator-pirk/pull/76
Merging now - will keep working on it via JIRA issues and PRs
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[GitHub] incubator-pirk pull request #76: [PIRK-21] [WIP] - Initial Spark Streaming R...
Posted by tellison <gi...@git.apache.org>.
Github user tellison commented on a diff in the pull request:
https://github.com/apache/incubator-pirk/pull/76#discussion_r75834938
--- Diff: src/main/java/org/apache/pirk/responder/wideskies/spark/streaming/ComputeStreamingResponse.java ---
@@ -0,0 +1,467 @@
+/*
+ * 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.pirk.responder.wideskies.spark.streaming;
+
+import java.math.BigInteger;
+import java.util.LinkedList;
+import java.util.List;
+import java.util.Queue;
+
+import org.apache.hadoop.fs.FileSystem;
+import org.apache.hadoop.io.MapWritable;
+import org.apache.hadoop.io.Text;
+import org.apache.hadoop.mapreduce.Job;
+import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
+import org.apache.pirk.inputformat.hadoop.BaseInputFormat;
+import org.apache.pirk.inputformat.hadoop.InputFormatConst;
+import org.apache.pirk.query.wideskies.Query;
+import org.apache.pirk.query.wideskies.QueryInfo;
+import org.apache.pirk.responder.wideskies.spark.Accumulators;
+import org.apache.pirk.responder.wideskies.spark.BroadcastVars;
+import org.apache.pirk.responder.wideskies.spark.EncColMultGroupedMapper;
+import org.apache.pirk.responder.wideskies.spark.EncColMultReducer;
+import org.apache.pirk.responder.wideskies.spark.EncRowCalc;
+import org.apache.pirk.responder.wideskies.spark.FilterData;
+import org.apache.pirk.responder.wideskies.spark.HashSelectorsAndPartitionData;
+import org.apache.pirk.schema.data.DataSchema;
+import org.apache.pirk.schema.data.DataSchemaLoader;
+import org.apache.pirk.schema.data.DataSchemaRegistry;
+import org.apache.pirk.schema.query.QuerySchema;
+import org.apache.pirk.schema.query.QuerySchemaLoader;
+import org.apache.pirk.schema.query.QuerySchemaRegistry;
+import org.apache.pirk.serialization.HadoopFileSystemStore;
+import org.apache.pirk.utils.PIRException;
+import org.apache.pirk.utils.SystemConfiguration;
+import org.apache.spark.SparkConf;
+import org.apache.spark.api.java.JavaPairRDD;
+import org.apache.spark.api.java.JavaRDD;
+import org.apache.spark.api.java.JavaSparkContext;
+import org.apache.spark.api.java.function.Function;
+import org.apache.spark.api.java.function.VoidFunction;
+import org.apache.spark.streaming.Durations;
+import org.apache.spark.streaming.api.java.JavaDStream;
+import org.apache.spark.streaming.api.java.JavaPairDStream;
+import org.apache.spark.streaming.api.java.JavaPairInputDStream;
+import org.apache.spark.streaming.api.java.JavaStreamingContext;
+import org.elasticsearch.hadoop.mr.EsInputFormat;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+/**
+ * Master class for the PIR query spark streaming application
+ * <p>
+ * NOTE:
+ * <p>
+ * - NOT using Elasticsearch in practice - proved to be some speed issues with ES and Spark that appear to be ES-Spark specific - leave code in anticipation
+ * that the ES-Spark issues resolve...
+ * <p>
+ * - Even if rdd.count() calls are embedded in logger.debug statements, they are computed by Spark. Thus, they are commented out in the code below - uncomment
+ * for rdd.count() debug
+ *
+ */
+public class ComputeStreamingResponse
+{
+ private static final Logger logger = LoggerFactory.getLogger(ComputeStreamingResponse.class);
+
+ private String dataInputFormat = null;
+ private String inputData = null;
+ private String outputFile = null;
+ private String outputDirExp = null;
+
+ private String queryInput = null;
+ QuerySchema qSchema = null;
+
+ private String esQuery = "none";
+ private String esResource = "none";
+
+ private FileSystem fs = null;
+ private HadoopFileSystemStore storage = null;
+ private JavaStreamingContext jssc = null;
+
+ boolean useQueueStream = false;
+
+ private long batchSeconds = 0;
+ private long windowLength = 0;
+
+ private Accumulators accum = null;
+ private BroadcastVars bVars = null;
+
+ private QueryInfo queryInfo = null;
+ Query query = null;
+
+ private int numDataPartitions = 0;
+ private int numColMultPartitions = 0;
+
+ private boolean colMultReduceByKey = false;
+
+ public ComputeStreamingResponse(FileSystem fileSys) throws Exception
+ {
+ fs = fileSys;
+ storage = new HadoopFileSystemStore(fs);
+
+ dataInputFormat = SystemConfiguration.getProperty("pir.dataInputFormat");
+ if (!InputFormatConst.ALLOWED_FORMATS.contains(dataInputFormat))
+ {
+ throw new IllegalArgumentException("inputFormat = " + dataInputFormat + " is of an unknown form");
+ }
+ logger.info("inputFormat = " + dataInputFormat);
+ if (dataInputFormat.equals(InputFormatConst.BASE_FORMAT))
+ {
+ inputData = SystemConfiguration.getProperty("pir.inputData", "none");
+ if (inputData.equals("none"))
+ {
+ throw new IllegalArgumentException("For inputFormat = " + dataInputFormat + " an inputFile must be specified");
+ }
+ logger.info("inputFile = " + inputData);
+ }
+ else if (dataInputFormat.equals(InputFormatConst.ES))
+ {
+ esQuery = SystemConfiguration.getProperty("pir.esQuery", "none");
+ esResource = SystemConfiguration.getProperty("pir.esResource", "none");
+ if (esQuery.equals("none"))
+ {
+ throw new IllegalArgumentException("esQuery must be specified");
+ }
+ if (esResource.equals("none"))
+ {
+ throw new IllegalArgumentException("esResource must be specified");
+ }
+ logger.info("esQuery = " + esQuery + " esResource = " + esResource);
+ }
+ outputFile = SystemConfiguration.getProperty("pir.outputFile");
+ outputDirExp = outputFile + "_exp";
+
+ queryInput = SystemConfiguration.getProperty("pir.queryInput");
+ String stopListFile = SystemConfiguration.getProperty("pir.stopListFile");
+
+ logger.info("outputFile = " + outputFile + " queryInputDir = " + queryInput + " stopListFile = " + stopListFile + " esQuery = " + esQuery
+ + " esResource = " + esResource);
+
+ // Pull the batchSeconds and windowLength parameters
+ batchSeconds = Long.parseLong(SystemConfiguration.getProperty("pir.sparkstreaming.batchSeconds", "30"));
+ windowLength = Long.parseLong(SystemConfiguration.getProperty("pir.sparkstreaming.windowLength", "60"));
+ if (windowLength % batchSeconds != 0)
+ {
+ throw new IllegalArgumentException("batchSeconds = " + batchSeconds + " must divide windowLength = " + windowLength);
+ }
+ useQueueStream = SystemConfiguration.getProperty("pir.sparkstreaming.useQueueStream", "false").equals("false");
+
+ // Set the necessary configurations
+ SparkConf conf = new SparkConf().setAppName("SparkPIR").setMaster("yarn-cluster");
+ conf.set("es.nodes", SystemConfiguration.getProperty("es.nodes", "none"));
+ conf.set("es.port", SystemConfiguration.getProperty("es.port", "none"));
+ conf.set("spark.serializer", "org.apache.spark.serializer.KryoSerializer");
+ conf.set("spark.streaming.stopGracefullyOnShutdown", SystemConfiguration.getProperty("spark.streaming.stopGracefullyOnShutdown", "false"));
--- End diff --
Quite a few places where the ```SystemConfiguration.get*Property``` could be used to help with typing variables.
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[GitHub] incubator-pirk pull request #76: [PIRK-21] [WIP] - Initial Spark Streaming R...
Posted by tellison <gi...@git.apache.org>.
Github user tellison commented on a diff in the pull request:
https://github.com/apache/incubator-pirk/pull/76#discussion_r75834645
--- Diff: src/main/java/org/apache/pirk/responder/wideskies/spark/streaming/ComputeStreamingResponse.java ---
@@ -0,0 +1,467 @@
+/*
+ * 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.pirk.responder.wideskies.spark.streaming;
+
+import java.math.BigInteger;
+import java.util.LinkedList;
+import java.util.List;
+import java.util.Queue;
+
+import org.apache.hadoop.fs.FileSystem;
+import org.apache.hadoop.io.MapWritable;
+import org.apache.hadoop.io.Text;
+import org.apache.hadoop.mapreduce.Job;
+import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
+import org.apache.pirk.inputformat.hadoop.BaseInputFormat;
+import org.apache.pirk.inputformat.hadoop.InputFormatConst;
+import org.apache.pirk.query.wideskies.Query;
+import org.apache.pirk.query.wideskies.QueryInfo;
+import org.apache.pirk.responder.wideskies.spark.Accumulators;
+import org.apache.pirk.responder.wideskies.spark.BroadcastVars;
+import org.apache.pirk.responder.wideskies.spark.EncColMultGroupedMapper;
+import org.apache.pirk.responder.wideskies.spark.EncColMultReducer;
+import org.apache.pirk.responder.wideskies.spark.EncRowCalc;
+import org.apache.pirk.responder.wideskies.spark.FilterData;
+import org.apache.pirk.responder.wideskies.spark.HashSelectorsAndPartitionData;
+import org.apache.pirk.schema.data.DataSchema;
+import org.apache.pirk.schema.data.DataSchemaLoader;
+import org.apache.pirk.schema.data.DataSchemaRegistry;
+import org.apache.pirk.schema.query.QuerySchema;
+import org.apache.pirk.schema.query.QuerySchemaLoader;
+import org.apache.pirk.schema.query.QuerySchemaRegistry;
+import org.apache.pirk.serialization.HadoopFileSystemStore;
+import org.apache.pirk.utils.PIRException;
+import org.apache.pirk.utils.SystemConfiguration;
+import org.apache.spark.SparkConf;
+import org.apache.spark.api.java.JavaPairRDD;
+import org.apache.spark.api.java.JavaRDD;
+import org.apache.spark.api.java.JavaSparkContext;
+import org.apache.spark.api.java.function.Function;
+import org.apache.spark.api.java.function.VoidFunction;
+import org.apache.spark.streaming.Durations;
+import org.apache.spark.streaming.api.java.JavaDStream;
+import org.apache.spark.streaming.api.java.JavaPairDStream;
+import org.apache.spark.streaming.api.java.JavaPairInputDStream;
+import org.apache.spark.streaming.api.java.JavaStreamingContext;
+import org.elasticsearch.hadoop.mr.EsInputFormat;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+/**
+ * Master class for the PIR query spark streaming application
+ * <p>
+ * NOTE:
+ * <p>
+ * - NOT using Elasticsearch in practice - proved to be some speed issues with ES and Spark that appear to be ES-Spark specific - leave code in anticipation
+ * that the ES-Spark issues resolve...
+ * <p>
+ * - Even if rdd.count() calls are embedded in logger.debug statements, they are computed by Spark. Thus, they are commented out in the code below - uncomment
+ * for rdd.count() debug
+ *
+ */
+public class ComputeStreamingResponse
+{
+ private static final Logger logger = LoggerFactory.getLogger(ComputeStreamingResponse.class);
+
+ private String dataInputFormat = null;
+ private String inputData = null;
+ private String outputFile = null;
+ private String outputDirExp = null;
+
+ private String queryInput = null;
+ QuerySchema qSchema = null;
+
+ private String esQuery = "none";
+ private String esResource = "none";
+
+ private FileSystem fs = null;
+ private HadoopFileSystemStore storage = null;
+ private JavaStreamingContext jssc = null;
+
+ boolean useQueueStream = false;
+
+ private long batchSeconds = 0;
+ private long windowLength = 0;
+
+ private Accumulators accum = null;
+ private BroadcastVars bVars = null;
+
+ private QueryInfo queryInfo = null;
+ Query query = null;
+
+ private int numDataPartitions = 0;
+ private int numColMultPartitions = 0;
+
+ private boolean colMultReduceByKey = false;
+
+ public ComputeStreamingResponse(FileSystem fileSys) throws Exception
+ {
+ fs = fileSys;
+ storage = new HadoopFileSystemStore(fs);
+
+ dataInputFormat = SystemConfiguration.getProperty("pir.dataInputFormat");
+ if (!InputFormatConst.ALLOWED_FORMATS.contains(dataInputFormat))
+ {
+ throw new IllegalArgumentException("inputFormat = " + dataInputFormat + " is of an unknown form");
+ }
+ logger.info("inputFormat = " + dataInputFormat);
+ if (dataInputFormat.equals(InputFormatConst.BASE_FORMAT))
+ {
+ inputData = SystemConfiguration.getProperty("pir.inputData", "none");
+ if (inputData.equals("none"))
+ {
+ throw new IllegalArgumentException("For inputFormat = " + dataInputFormat + " an inputFile must be specified");
+ }
+ logger.info("inputFile = " + inputData);
+ }
+ else if (dataInputFormat.equals(InputFormatConst.ES))
+ {
+ esQuery = SystemConfiguration.getProperty("pir.esQuery", "none");
+ esResource = SystemConfiguration.getProperty("pir.esResource", "none");
+ if (esQuery.equals("none"))
+ {
+ throw new IllegalArgumentException("esQuery must be specified");
+ }
+ if (esResource.equals("none"))
+ {
+ throw new IllegalArgumentException("esResource must be specified");
+ }
+ logger.info("esQuery = " + esQuery + " esResource = " + esResource);
+ }
+ outputFile = SystemConfiguration.getProperty("pir.outputFile");
+ outputDirExp = outputFile + "_exp";
+
+ queryInput = SystemConfiguration.getProperty("pir.queryInput");
+ String stopListFile = SystemConfiguration.getProperty("pir.stopListFile");
+
+ logger.info("outputFile = " + outputFile + " queryInputDir = " + queryInput + " stopListFile = " + stopListFile + " esQuery = " + esQuery
+ + " esResource = " + esResource);
+
+ // Pull the batchSeconds and windowLength parameters
+ batchSeconds = Long.parseLong(SystemConfiguration.getProperty("pir.sparkstreaming.batchSeconds", "30"));
--- End diff --
```Long``` is a bit generous for a duration in seconds.
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[GitHub] incubator-pirk pull request #76: [PIRK-21] [WIP] - Initial Spark Streaming R...
Posted by tellison <gi...@git.apache.org>.
Github user tellison commented on a diff in the pull request:
https://github.com/apache/incubator-pirk/pull/76#discussion_r75834426
--- Diff: src/main/resources/pirk.properties ---
@@ -28,7 +28,8 @@ local.pirk.properties.dir=/root/
##
##Spark path for SparkLauncher
##
-spark.home = /usr
+#spark.home = /usr
+spark.home=/opt/cloudera/parcels/CDH/lib/spark
--- End diff --
I'm guessing this ```pirk.properties``` was included in the commit by mistake.
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[GitHub] incubator-pirk pull request #76: [PIRK-21] - Initial Spark Streaming Respond...
Posted by asfgit <gi...@git.apache.org>.
Github user asfgit closed the pull request at:
https://github.com/apache/incubator-pirk/pull/76
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[GitHub] incubator-pirk pull request #76: [PIRK-21] [WIP] - Initial Spark Streaming R...
Posted by ellisonanne <gi...@git.apache.org>.
Github user ellisonanne commented on a diff in the pull request:
https://github.com/apache/incubator-pirk/pull/76#discussion_r75878104
--- Diff: src/main/java/org/apache/pirk/responder/wideskies/spark/streaming/ComputeStreamingResponse.java ---
@@ -0,0 +1,467 @@
+/*
+ * 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.pirk.responder.wideskies.spark.streaming;
+
+import java.math.BigInteger;
+import java.util.LinkedList;
+import java.util.List;
+import java.util.Queue;
+
+import org.apache.hadoop.fs.FileSystem;
+import org.apache.hadoop.io.MapWritable;
+import org.apache.hadoop.io.Text;
+import org.apache.hadoop.mapreduce.Job;
+import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
+import org.apache.pirk.inputformat.hadoop.BaseInputFormat;
+import org.apache.pirk.inputformat.hadoop.InputFormatConst;
+import org.apache.pirk.query.wideskies.Query;
+import org.apache.pirk.query.wideskies.QueryInfo;
+import org.apache.pirk.responder.wideskies.spark.Accumulators;
+import org.apache.pirk.responder.wideskies.spark.BroadcastVars;
+import org.apache.pirk.responder.wideskies.spark.EncColMultGroupedMapper;
+import org.apache.pirk.responder.wideskies.spark.EncColMultReducer;
+import org.apache.pirk.responder.wideskies.spark.EncRowCalc;
+import org.apache.pirk.responder.wideskies.spark.FilterData;
+import org.apache.pirk.responder.wideskies.spark.HashSelectorsAndPartitionData;
+import org.apache.pirk.schema.data.DataSchema;
+import org.apache.pirk.schema.data.DataSchemaLoader;
+import org.apache.pirk.schema.data.DataSchemaRegistry;
+import org.apache.pirk.schema.query.QuerySchema;
+import org.apache.pirk.schema.query.QuerySchemaLoader;
+import org.apache.pirk.schema.query.QuerySchemaRegistry;
+import org.apache.pirk.serialization.HadoopFileSystemStore;
+import org.apache.pirk.utils.PIRException;
+import org.apache.pirk.utils.SystemConfiguration;
+import org.apache.spark.SparkConf;
+import org.apache.spark.api.java.JavaPairRDD;
+import org.apache.spark.api.java.JavaRDD;
+import org.apache.spark.api.java.JavaSparkContext;
+import org.apache.spark.api.java.function.Function;
+import org.apache.spark.api.java.function.VoidFunction;
+import org.apache.spark.streaming.Durations;
+import org.apache.spark.streaming.api.java.JavaDStream;
+import org.apache.spark.streaming.api.java.JavaPairDStream;
+import org.apache.spark.streaming.api.java.JavaPairInputDStream;
+import org.apache.spark.streaming.api.java.JavaStreamingContext;
+import org.elasticsearch.hadoop.mr.EsInputFormat;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+/**
+ * Master class for the PIR query spark streaming application
+ * <p>
+ * NOTE:
+ * <p>
+ * - NOT using Elasticsearch in practice - proved to be some speed issues with ES and Spark that appear to be ES-Spark specific - leave code in anticipation
+ * that the ES-Spark issues resolve...
+ * <p>
+ * - Even if rdd.count() calls are embedded in logger.debug statements, they are computed by Spark. Thus, they are commented out in the code below - uncomment
+ * for rdd.count() debug
+ *
+ */
+public class ComputeStreamingResponse
+{
+ private static final Logger logger = LoggerFactory.getLogger(ComputeStreamingResponse.class);
+
+ private String dataInputFormat = null;
+ private String inputData = null;
+ private String outputFile = null;
+ private String outputDirExp = null;
+
+ private String queryInput = null;
+ QuerySchema qSchema = null;
+
+ private String esQuery = "none";
+ private String esResource = "none";
+
+ private FileSystem fs = null;
+ private HadoopFileSystemStore storage = null;
+ private JavaStreamingContext jssc = null;
+
+ boolean useQueueStream = false;
+
+ private long batchSeconds = 0;
+ private long windowLength = 0;
+
+ private Accumulators accum = null;
+ private BroadcastVars bVars = null;
+
+ private QueryInfo queryInfo = null;
+ Query query = null;
+
+ private int numDataPartitions = 0;
+ private int numColMultPartitions = 0;
+
+ private boolean colMultReduceByKey = false;
+
+ public ComputeStreamingResponse(FileSystem fileSys) throws Exception
+ {
+ fs = fileSys;
+ storage = new HadoopFileSystemStore(fs);
+
+ dataInputFormat = SystemConfiguration.getProperty("pir.dataInputFormat");
+ if (!InputFormatConst.ALLOWED_FORMATS.contains(dataInputFormat))
+ {
+ throw new IllegalArgumentException("inputFormat = " + dataInputFormat + " is of an unknown form");
+ }
+ logger.info("inputFormat = " + dataInputFormat);
+ if (dataInputFormat.equals(InputFormatConst.BASE_FORMAT))
+ {
+ inputData = SystemConfiguration.getProperty("pir.inputData", "none");
+ if (inputData.equals("none"))
+ {
+ throw new IllegalArgumentException("For inputFormat = " + dataInputFormat + " an inputFile must be specified");
+ }
+ logger.info("inputFile = " + inputData);
+ }
+ else if (dataInputFormat.equals(InputFormatConst.ES))
+ {
+ esQuery = SystemConfiguration.getProperty("pir.esQuery", "none");
+ esResource = SystemConfiguration.getProperty("pir.esResource", "none");
+ if (esQuery.equals("none"))
+ {
+ throw new IllegalArgumentException("esQuery must be specified");
+ }
+ if (esResource.equals("none"))
+ {
+ throw new IllegalArgumentException("esResource must be specified");
+ }
+ logger.info("esQuery = " + esQuery + " esResource = " + esResource);
+ }
+ outputFile = SystemConfiguration.getProperty("pir.outputFile");
+ outputDirExp = outputFile + "_exp";
+
+ queryInput = SystemConfiguration.getProperty("pir.queryInput");
+ String stopListFile = SystemConfiguration.getProperty("pir.stopListFile");
+
+ logger.info("outputFile = " + outputFile + " queryInputDir = " + queryInput + " stopListFile = " + stopListFile + " esQuery = " + esQuery
+ + " esResource = " + esResource);
+
+ // Pull the batchSeconds and windowLength parameters
+ batchSeconds = Long.parseLong(SystemConfiguration.getProperty("pir.sparkstreaming.batchSeconds", "30"));
+ windowLength = Long.parseLong(SystemConfiguration.getProperty("pir.sparkstreaming.windowLength", "60"));
+ if (windowLength % batchSeconds != 0)
+ {
+ throw new IllegalArgumentException("batchSeconds = " + batchSeconds + " must divide windowLength = " + windowLength);
+ }
+ useQueueStream = SystemConfiguration.getProperty("pir.sparkstreaming.useQueueStream", "false").equals("false");
+
+ // Set the necessary configurations
+ SparkConf conf = new SparkConf().setAppName("SparkPIR").setMaster("yarn-cluster");
+ conf.set("es.nodes", SystemConfiguration.getProperty("es.nodes", "none"));
+ conf.set("es.port", SystemConfiguration.getProperty("es.port", "none"));
+ conf.set("spark.serializer", "org.apache.spark.serializer.KryoSerializer");
+ conf.set("spark.streaming.stopGracefullyOnShutdown", SystemConfiguration.getProperty("spark.streaming.stopGracefullyOnShutdown", "false"));
--- End diff --
Yes - I will update it with the new typing.
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[GitHub] incubator-pirk issue #76: [PIRK-21] - Initial Spark Streaming Responder Impl...
Posted by ellisonanne <gi...@git.apache.org>.
Github user ellisonanne commented on the issue:
https://github.com/apache/incubator-pirk/pull/76
Scale testing is in progress - I would like to go ahead and merge this into master before it gets too far behind... I will update as necessary with any changes that result from scale testing.
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[GitHub] incubator-pirk pull request #76: [PIRK-21] [WIP] - Initial Spark Streaming R...
Posted by tellison <gi...@git.apache.org>.
Github user tellison commented on a diff in the pull request:
https://github.com/apache/incubator-pirk/pull/76#discussion_r75835110
--- Diff: src/main/resources/META-INF/bin-license-notice/LICENSE-bin ---
@@ -0,0 +1,262 @@
+
--- End diff --
I think these license changes are part of another commit.
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[GitHub] incubator-pirk pull request #76: [PIRK-21] [WIP] - Initial Spark Streaming R...
Posted by ellisonanne <gi...@git.apache.org>.
Github user ellisonanne commented on a diff in the pull request:
https://github.com/apache/incubator-pirk/pull/76#discussion_r75879106
--- Diff: src/main/java/org/apache/pirk/responder/wideskies/spark/streaming/ComputeStreamingResponse.java ---
@@ -0,0 +1,467 @@
+/*
+ * 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.pirk.responder.wideskies.spark.streaming;
+
+import java.math.BigInteger;
+import java.util.LinkedList;
+import java.util.List;
+import java.util.Queue;
+
+import org.apache.hadoop.fs.FileSystem;
+import org.apache.hadoop.io.MapWritable;
+import org.apache.hadoop.io.Text;
+import org.apache.hadoop.mapreduce.Job;
+import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
+import org.apache.pirk.inputformat.hadoop.BaseInputFormat;
+import org.apache.pirk.inputformat.hadoop.InputFormatConst;
+import org.apache.pirk.query.wideskies.Query;
+import org.apache.pirk.query.wideskies.QueryInfo;
+import org.apache.pirk.responder.wideskies.spark.Accumulators;
+import org.apache.pirk.responder.wideskies.spark.BroadcastVars;
+import org.apache.pirk.responder.wideskies.spark.EncColMultGroupedMapper;
+import org.apache.pirk.responder.wideskies.spark.EncColMultReducer;
+import org.apache.pirk.responder.wideskies.spark.EncRowCalc;
+import org.apache.pirk.responder.wideskies.spark.FilterData;
+import org.apache.pirk.responder.wideskies.spark.HashSelectorsAndPartitionData;
+import org.apache.pirk.schema.data.DataSchema;
+import org.apache.pirk.schema.data.DataSchemaLoader;
+import org.apache.pirk.schema.data.DataSchemaRegistry;
+import org.apache.pirk.schema.query.QuerySchema;
+import org.apache.pirk.schema.query.QuerySchemaLoader;
+import org.apache.pirk.schema.query.QuerySchemaRegistry;
+import org.apache.pirk.serialization.HadoopFileSystemStore;
+import org.apache.pirk.utils.PIRException;
+import org.apache.pirk.utils.SystemConfiguration;
+import org.apache.spark.SparkConf;
+import org.apache.spark.api.java.JavaPairRDD;
+import org.apache.spark.api.java.JavaRDD;
+import org.apache.spark.api.java.JavaSparkContext;
+import org.apache.spark.api.java.function.Function;
+import org.apache.spark.api.java.function.VoidFunction;
+import org.apache.spark.streaming.Durations;
+import org.apache.spark.streaming.api.java.JavaDStream;
+import org.apache.spark.streaming.api.java.JavaPairDStream;
+import org.apache.spark.streaming.api.java.JavaPairInputDStream;
+import org.apache.spark.streaming.api.java.JavaStreamingContext;
+import org.elasticsearch.hadoop.mr.EsInputFormat;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+/**
+ * Master class for the PIR query spark streaming application
+ * <p>
+ * NOTE:
+ * <p>
+ * - NOT using Elasticsearch in practice - proved to be some speed issues with ES and Spark that appear to be ES-Spark specific - leave code in anticipation
+ * that the ES-Spark issues resolve...
+ * <p>
+ * - Even if rdd.count() calls are embedded in logger.debug statements, they are computed by Spark. Thus, they are commented out in the code below - uncomment
+ * for rdd.count() debug
+ *
+ */
+public class ComputeStreamingResponse
+{
+ private static final Logger logger = LoggerFactory.getLogger(ComputeStreamingResponse.class);
+
+ private String dataInputFormat = null;
+ private String inputData = null;
+ private String outputFile = null;
+ private String outputDirExp = null;
+
+ private String queryInput = null;
+ QuerySchema qSchema = null;
+
+ private String esQuery = "none";
+ private String esResource = "none";
+
+ private FileSystem fs = null;
+ private HadoopFileSystemStore storage = null;
+ private JavaStreamingContext jssc = null;
+
+ boolean useQueueStream = false;
+
+ private long batchSeconds = 0;
+ private long windowLength = 0;
+
+ private Accumulators accum = null;
+ private BroadcastVars bVars = null;
+
+ private QueryInfo queryInfo = null;
+ Query query = null;
+
+ private int numDataPartitions = 0;
+ private int numColMultPartitions = 0;
+
+ private boolean colMultReduceByKey = false;
+
+ public ComputeStreamingResponse(FileSystem fileSys) throws Exception
+ {
+ fs = fileSys;
+ storage = new HadoopFileSystemStore(fs);
+
+ dataInputFormat = SystemConfiguration.getProperty("pir.dataInputFormat");
+ if (!InputFormatConst.ALLOWED_FORMATS.contains(dataInputFormat))
+ {
+ throw new IllegalArgumentException("inputFormat = " + dataInputFormat + " is of an unknown form");
+ }
+ logger.info("inputFormat = " + dataInputFormat);
+ if (dataInputFormat.equals(InputFormatConst.BASE_FORMAT))
+ {
+ inputData = SystemConfiguration.getProperty("pir.inputData", "none");
+ if (inputData.equals("none"))
+ {
+ throw new IllegalArgumentException("For inputFormat = " + dataInputFormat + " an inputFile must be specified");
+ }
+ logger.info("inputFile = " + inputData);
+ }
+ else if (dataInputFormat.equals(InputFormatConst.ES))
+ {
+ esQuery = SystemConfiguration.getProperty("pir.esQuery", "none");
+ esResource = SystemConfiguration.getProperty("pir.esResource", "none");
+ if (esQuery.equals("none"))
+ {
+ throw new IllegalArgumentException("esQuery must be specified");
+ }
+ if (esResource.equals("none"))
+ {
+ throw new IllegalArgumentException("esResource must be specified");
+ }
+ logger.info("esQuery = " + esQuery + " esResource = " + esResource);
+ }
+ outputFile = SystemConfiguration.getProperty("pir.outputFile");
+ outputDirExp = outputFile + "_exp";
+
+ queryInput = SystemConfiguration.getProperty("pir.queryInput");
+ String stopListFile = SystemConfiguration.getProperty("pir.stopListFile");
+
+ logger.info("outputFile = " + outputFile + " queryInputDir = " + queryInput + " stopListFile = " + stopListFile + " esQuery = " + esQuery
+ + " esResource = " + esResource);
+
+ // Pull the batchSeconds and windowLength parameters
+ batchSeconds = Long.parseLong(SystemConfiguration.getProperty("pir.sparkstreaming.batchSeconds", "30"));
--- End diff --
'batchSeconds' is an input to the Durations class' static seconds method which requires a long (http://spark.apache.org/docs/latest/api/java/)
But, yes, I do think that a long is a bit of overkill ;)
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[GitHub] incubator-pirk issue #76: [PIRK-21] - Initial Spark Streaming Responder Impl...
Posted by tellison <gi...@git.apache.org>.
Github user tellison commented on the issue:
https://github.com/apache/incubator-pirk/pull/76
+1, it is good enough to merge into master and refine from there.
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