Hi,
I am trying to use Spark and ElasticSearch.
Currently, the RDD contains pipe delimited records.
parsedRDD.saveAsNewAPIHadoopFile(outputLocation,
NullWritable.class,
Text.class,
CustomTextOutputFormat.class,
job.getConfiguration());
Write now I am storing the output in HDFS. Instead now I want to create an
index and store the output and want to use to kibana to do some analysis.
What do I need to change so that I can push into ElasticSearch? Is it
ESOutputFormat?
On Monday, July 7, 2014 11:14:47 PM UTC+5:30, Costin Leau wrote:
>
> Thanks for the analysis. It looks like Hadoop 1.0.4 POM has an invalid pom
> - though it uses Jackson 1.8.8 (see the distro) the pom declares version
> 1.0.1 for some reason. Hadoop version 1.2 (the latest stable) and higher
> has this fixed.
>
> We don't mark the jackson version within our POM since it's already
> available at runtime - we can probably due so going forward in the Spark
> integration.
>
>
> On Mon, Jul 7, 2014 at 6:39 PM, Brian Thomas <brianjt...@gmail.com
> <javascript:>> wrote:
>
>> Here is the gradle build I was using originally:
>>
>> apply plugin: 'java'
>> apply plugin: 'eclipse'
>>
>> sourceCompatibility = 1.7
>> version = '0.0.1'
>> group = 'com.spark.testing'
>>
>> repositories {
>> mavenCentral()
>> }
>>
>> dependencies {
>> compile 'org.apache.spark:spark-core_2.10:1.0.0'
>> compile 'edu.stanford.nlp:stanford-corenlp:3.3.1'
>> compile group: 'edu.stanford.nlp', name: 'stanford-corenlp', version:
>> '3.3.1', classifier:'models'
>> compile files('lib/elasticsearch-hadoop-2.0.0.jar')
>> testCompile 'junit:junit:4.+'
>> testCompile group: "com.github.tlrx", name: "elasticsearch-test",
>> version: "1.2.1"
>> }
>>
>>
>> When I ran dependencyInsight on jackson, I got the following output:
>>
>> C:\dev\workspace\SparkProject>gradle dependencyInsight --dependency
>> jackson-core
>>
>> :dependencyInsight
>> com.fasterxml.jackson.core:jackson-core:2.3.0
>> \--- com.fasterxml.jackson.core:jackson-databind:2.3.0
>> +--- org.json4s:json4s-jackson_2.10:3.2.6
>> | \--- org.apache.spark:spark-core_2.10:1.0.0
>> | \--- compile
>> \--- com.codahale.metrics:metrics-json:3.0.0
>> \--- org.apache.spark:spark-core_2.10:1.0.0 (*)
>>
>> org.codehaus.jackson:jackson-core-asl:1.0.1
>> \--- org.codehaus.jackson:jackson-mapper-asl:1.0.1
>> \--- org.apache.hadoop:hadoop-core:1.0.4
>> \--- org.apache.hadoop:hadoop-client:1.0.4
>> \--- org.apache.spark:spark-core_2.10:1.0.0
>> \--- compile
>>
>> Version 1.0.1 of jackson-core-asl does not have the field
>> ALLOW_UNQUOTED_FIELD_NAMES, but later versions of it do.
>>
>> On Sunday, July 6, 2014 4:28:56 PM UTC-4, Costin Leau wrote:
>>
>>> Hi,
>>>
>>> Glad to see you sorted out the problem. Out of curiosity what version of
>>> jackson were you using and what was pulling it in? Can you share you maven
>>> pom/gradle build?
>>>
>>>
>>> On Sun, Jul 6, 2014 at 10:27 PM, Brian Thomas <brianjt...@gmail.com>
>>> wrote:
>>>
>>>> I figured it out, dependency issue in my classpath. Maven was
>>>> pulling down a very old version of the jackson jar. I added the following
>>>> line to my dependencies and the error went away:
>>>>
>>>> compile 'org.codehaus.jackson:jackson-mapper-asl:1.9.13'
>>>>
>>>>
>>>> On Friday, July 4, 2014 3:22:30 PM UTC-4, Brian Thomas wrote:
>>>>>
>>>>> I am trying to test querying elasticsearch using Apache Spark using
>>>>> elasticsearch-hadoop. I am just trying to do a query to the
>>>>> elasticsearch
>>>>> server and return the count of results.
>>>>>
>>>>> Below is my test class using the Java API:
>>>>>
>>>>> import org.apache.hadoop.conf.Configuration;
>>>>> import org.apache.hadoop.io.MapWritable;
>>>>> import org.apache.hadoop.io.Text;
>>>>> import org.apache.spark.SparkConf;
>>>>> import org.apache.spark.api.java.JavaPairRDD;
>>>>> import org.apache.spark.api.java.JavaSparkContext;
>>>>> import org.apache.spark.serializer.KryoSerializer;
>>>>> import org.elasticsearch.hadoop.mr.EsInputFormat;
>>>>>
>>>>> import scala.Tuple2;
>>>>>
>>>>> public class ElasticsearchSparkQuery{
>>>>>
>>>>> public static int query(String masterUrl, String
>>>>> elasticsearchHostPort) {
>>>>> SparkConf sparkConfig = new SparkConf().setAppName("ESQuer
>>>>> y").setMaster(masterUrl);
>>>>> sparkConfig.set("spark.serializer",
>>>>> KryoSerializer.class.getName());
>>>>> JavaSparkContext sparkContext = new
>>>>> JavaSparkContext(sparkConfig);
>>>>>
>>>>> Configuration conf = new Configuration();
>>>>> conf.setBoolean("mapred.map.tasks.speculative.execution",
>>>>> false);
>>>>> conf.setBoolean("mapred.reduce.tasks.speculative.execution",
>>>>> false);
>>>>> conf.set("es.nodes", elasticsearchHostPort);
>>>>> conf.set("es.resource", "media/docs");
>>>>> conf.set("es.query", "?q=*");
>>>>>
>>>>> JavaPairRDD<Text, MapWritable> esRDD =
>>>>> sparkContext.newAPIHadoopRDD(conf, EsInputFormat.class, Text.class,
>>>>> MapWritable.class);
>>>>> return (int) esRDD.count();
>>>>> }
>>>>> }
>>>>>
>>>>>
>>>>> When I try to run this I get the following error:
>>>>>
>>>>>
>>>>> 4/07/04 14:58:07 INFO executor.Executor: Running task ID 0
>>>>> 14/07/04 14:58:07 INFO storage.BlockManager: Found block broadcast_0
>>>>> locally
>>>>> 14/07/04 14:58:07 INFO rdd.NewHadoopRDD: Input split: ShardInputSplit
>>>>> [node=[5UATWUzmTUuNzhmGxXWy_w/S'byll|10.45.71.152:9200],shard=0]
>>>>> 14/07/04 14:58:07 WARN mr.EsInputFormat: Cannot determine task id...
>>>>> 14/07/04 14:58:07 ERROR executor.Executor: Exception in task ID 0
>>>>> java.lang.NoSuchFieldError: ALLOW_UNQUOTED_FIELD_NAMES
>>>>> at org.elasticsearch.hadoop.serialization.json.JacksonJsonParse
>>>>> r.<clinit>(JacksonJsonParser.java:38)
>>>>> at org.elasticsearch.hadoop.serialization.ScrollReader.read(
>>>>> ScrollReader.java:75)
>>>>> at org.elasticsearch.hadoop.rest.RestRepository.scroll(RestRepo
>>>>> sitory.java:267)
>>>>> at org.elasticsearch.hadoop.rest.ScrollQuery.hasNext(ScrollQuer
>>>>> y.java:75)
>>>>> at org.elasticsearch.hadoop.mr.EsInputFormat$ShardRecordReader.
>>>>> next(EsInputFormat.java:319)
>>>>> at org.elasticsearch.hadoop.mr.EsInputFormat$ShardRecordReader.
>>>>> nextKeyValue(EsInputFormat.java:255)
>>>>> at org.apache.spark.rdd.NewHadoopRDD$$anon$1.hasNext(NewHadoopR
>>>>> DD.scala:122)
>>>>> at org.apache.spark.InterruptibleIterator.hasNext(Interruptible
>>>>> Iterator.scala:39)
>>>>> at org.apache.spark.util.Utils$.getIteratorSize(Utils.scala:1014)
>>>>> at org.apache.spark.rdd.RDD$$anonfun$count$1.apply(RDD.scala:847)
>>>>> at org.apache.spark.rdd.RDD$$anonfun$count$1.apply(RDD.scala:847)
>>>>> at org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkC
>>>>> ontext.scala:1080)
>>>>> at org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkC
>>>>> ontext.scala:1080)
>>>>> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.sca
>>>>> la:111)
>>>>> at org.apache.spark.scheduler.Task.run(Task.scala:51)
>>>>> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.
>>>>> scala:187)
>>>>> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPool
>>>>> Executor.java:1145)
>>>>> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoo
>>>>> lExecutor.java:615)
>>>>> at java.lang.Thread.run(Thread.java:745)
>>>>>
>>>>> Has anyone run into this issue with the JacksonJsonParser?
>>>>>
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