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Re: [geomesa-users] [geomesa-dev] GDELT tutorial
Kelly,

I think your issue may be that you clicked layer preview on a TIME-enabled layer with no TIME specified in the URL - this results in nothing I think due to geoserver specification.

Add this to your URL and you should see results:
&TIME=2013-01-01T00:00:00.000Z/2014-04-30T23:00:00.000Z

Or if you change the layer to disable TIME, then the layer preview should work without a TIME parameter.

Hunter

On 06/26/2014 03:36 PM, Kelly O'Conor wrote:

​yeah im getting to that. but when i hit OpenLayers from the Layer Preview, I am getting a blank square with no data points. 


If I use the URL from the tutorial, I get small points. 


Thoughts?

From: Hunter Provyn <fhp@xxxxxxxx>
Sent: Thursday, June 26, 2014 3:03 PM
To: Kelly O'Conor; Geomesa User discussions; Discussions between GeoMesa committers
Subject: Re: [geomesa-dev] GDELT tutorial
 
Hi Kelly,

Great! Check out the "Register the GeoMesa DataStore with Geoserver" section of this tutorial.

http://geomesa.github.io/2014/04/17/geomesa-gdelt-analysis/

If you have further questions, let me know.

Hunter

On 06/26/2014 02:55 PM, Kelly O'Conor wrote:

Hey Hunter!


Got that part working. 

Any insight on how to load a map layer into the geoserver?


Thanks! :) 


From: Hunter Provyn <fhp@xxxxxxxx>
Sent: Thursday, June 26, 2014 9:25 AM
To: Kelly O'Conor; hunter@xxxxxxxx; Discussions between GeoMesa committers; geomesa-user >> Geomesa User discussions
Subject: Re: [geomesa-dev] GDELT tutorial
 
Kelly,

I just completed a successful ingest of the same file. One thing I had to change to get past an EPSG error was to upgrade all geotools dependencies from 9.5 to 11.0 in the geomesa-gdelt pom. We'll update this today. I also did fetch and build the latest geomesa branch accumulo1.5.x/1.x.

One indicator of the failure from your log is the "Map Input Records = 0".
For me it was 138735.

So it may be an issue with your hdfs setup. Can you see if there are any error messages in the log files of the map/reduce jobs using the hadoop web interface?
Also, it may help if you can send me the content of the entries that did get created. I'm assuming they all start with ~ and are metadata.

I'll let you know if I think of anything else.

Hunter

On 06/25/2014 08:45 PM, Kelly O'Conor wrote:

Hunter, 


It finished relatively quickly. this was the output.

9hzt3m1:geomesa-gdelt kelly.oconor$ hadoop jar target/geomesa-gdelt-1.0-SNAPSHOT.jar geomesa.gdelt.GDELTIngest -instanceId lumify -zookeepers localhost -user root -password password -auths kelly -visibilities kelly -tableName gdelt10 -featureName gdelt -ingestFile hdfs:///Users/kelly.oconor/geomesa-gdelt/data/20140612.export.CSV

14/06/25 16:18:18 INFO zookeeper.ZooKeeper: Client environment:zookeeper.version=3.4.5-1392090, built on 09/30/2012 17:52 GMT

14/06/25 16:18:18 INFO zookeeper.ZooKeeper: Client environment:host.name=cyyzqm1.invertix.int

14/06/25 16:18:18 INFO zookeeper.ZooKeeper: Client environment:java.version=1.7.0_60

14/06/25 16:18:18 INFO zookeeper.ZooKeeper: Client environment:java.vendor=Oracle Corporation

14/06/25 16:18:18 INFO zookeeper.ZooKeeper: Client environment:java.home=/Library/Java/JavaVirtualMachines/jdk1.7.0_60.jdk/Contents/Home/jre

14/06/25 16:18:18 INFO zookeeper.ZooKeeper: Client environment:java.class.path=/usr/local/Cellar/hadoop/2.4.0/libexec/etc/hadoop:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/common/lib/activation-1.1.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/common/lib/asm-3.2.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/common/lib/avro-1.7.4.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/common/lib/commons-beanutils-1.7.0.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/common/lib/commons-beanutils-core-1.8.0.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/common/lib/commons-cli-1.2.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/common/lib/commons-codec-1.4.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/common/lib/commons-collections-3.2.1.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/common/lib/commons-compress-1.4.1.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/common/lib/commons-configuration-1.6.jar:/usr/local/Cellar/hadoop/2.4. 0/libexe 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r:/usr/local/Cella r/hadoop/2.4.0/libexec/share/hadoop/common/hadoop-nfs-2.4.0.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/hdfs:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/hdfs/lib/asm-3.2.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/hdfs/lib/commons-cli-1.2.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/hdfs/lib/commons-codec-1.4.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/hdfs/lib/commons-daemon-1.0.13.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/hdfs/lib/commons-el-1.0.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/hdfs/lib/commons-io-2.4.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/hdfs/lib/commons-lang-2.6.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/hdfs/lib/commons-logging-1.1.3.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/hdfs/lib/guava-11.0.2.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/hdfs/lib/jackson-core-asl-1.8.8.jar:/usr/local/Cellar/hadoop/2.4.0/li 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/lib/xmlenc-0.52.j ar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/hdfs/hadoop-hdfs-2.4.0-tests.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/hdfs/hadoop-hdfs-2.4.0.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/hdfs/hadoop-hdfs-nfs-2.4.0.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/yarn/lib/activation-1.1.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/yarn/lib/aopalliance-1.0.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/yarn/lib/asm-3.2.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/yarn/lib/commons-cli-1.2.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/yarn/lib/commons-codec-1.4.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/yarn/lib/commons-collections-3.2.1.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/yarn/lib/commons-compress-1.4.1.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/yarn/lib/commons-httpclient-3.1.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/yarn/l 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3-1.jar:/usr/local /Cellar/hadoop/2.4.0/libexec/share/hadoop/yarn/lib/jersey-client-1.9.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/yarn/lib/jersey-core-1.9.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/yarn/lib/jersey-guice-1.9.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/yarn/lib/jersey-json-1.9.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/yarn/lib/jersey-server-1.9.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/yarn/lib/jettison-1.1.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/yarn/lib/jetty-6.1.26.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/yarn/lib/jetty-util-6.1.26.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/yarn/lib/jline-0.9.94.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/yarn/lib/jsr305-1.3.9.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/yarn/lib/leveldbjni-all-1.8.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/yarn/lib/log4j-1.2.17.jar:/usr/local/Cella 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are/hado op/mapreduce/lib/g uice-servlet-3.0.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/mapreduce/lib/hadoop-annotations-2.4.0.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/mapreduce/lib/hamcrest-core-1.1.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/mapreduce/lib/jackson-core-asl-1.8.8.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/mapreduce/lib/jackson-mapper-asl-1.8.8.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/mapreduce/lib/javax.inject-1.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/mapreduce/lib/jersey-core-1.9.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/mapreduce/lib/jersey-guice-1.9.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/mapreduce/lib/jersey-server-1.9.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/mapreduce/lib/junit-4.10.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/mapreduce/lib/log4j-1.2.17.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/mapreduce/lib/netty -3.6.2.F inal.jar:/usr/loca l/Cellar/hadoop/2.4.0/libexec/share/hadoop/mapreduce/lib/paranamer-2.3.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/mapreduce/lib/protobuf-java-2.5.0.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/mapreduce/lib/snappy-java-1.0.4.1.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/mapreduce/lib/xz-1.0.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/mapreduce/hadoop-mapreduce-client-app-2.4.0.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/mapreduce/hadoop-mapreduce-client-common-2.4.0.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/mapreduce/hadoop-mapreduce-client-core-2.4.0.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-2.4.0.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-plugins-2.4.0.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.4.0-tests.jar:/usr/local/Cellar/h adoop/2. 4.0/libexec/share/ hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.4.0.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/mapreduce/hadoop-mapreduce-client-shuffle-2.4.0.jar:/usr/local/Cellar/hadoop/2.4.0/libexec/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.4.0.jar:/contrib/capacity-scheduler/*.jar

14/06/25 16:18:18 INFO zookeeper.ZooKeeper: Client environment:java.library.path=/Users/kelly.oconor/Library/Java/Extensions:/Library/Java/Extensions:/Network/Library/Java/Extensions:/System/Library/Java/Extensions:/usr/lib/java:.

14/06/25 16:18:18 INFO zookeeper.ZooKeeper: Client environment:java.io.tmpdir=/var/folders/ry/lcr2v2rs0y9c60smxy4lyv893tdl0b/T/

14/06/25 16:18:18 INFO zookeeper.ZooKeeper: Client environment:java.compiler=<NA>

14/06/25 16:18:18 INFO zookeeper.ZooKeeper: Client environment:os.name=Mac OS X

14/06/25 16:18:18 INFO zookeeper.ZooKeeper: Client environment:os.arch=x86_64

14/06/25 16:18:18 INFO zookeeper.ZooKeeper: Client environment:os.version=10.9.2

14/06/25 16:18:18 INFO zookeeper.ZooKeeper: Client environment:user.name=kelly.oconor

14/06/25 16:18:18 INFO zookeeper.ZooKeeper: Client environment:user.home=/Users/kelly.oconor

14/06/25 16:18:18 INFO zookeeper.ZooKeeper: Client environment:user.dir=/Users/kelly.oconor/geomesa-gdelt

14/06/25 16:18:18 INFO zookeeper.ZooKeeper: Initiating client connection, connectString=localhost sessionTimeout=30000 watcher=org.apache.accumulo.fate.zookeeper.ZooSession$ZooWatcher@64c40106

14/06/25 16:18:18 INFO zookeeper.ClientCnxn: Opening socket connection to server localhost/127.0.0.1:2181. Will not attempt to authenticate using SASL (unknown error)

14/06/25 16:18:18 INFO zookeeper.ClientCnxn: Socket connection established to localhost/127.0.0.1:2181, initiating session

14/06/25 16:18:18 INFO zookeeper.ClientCnxn: Session establishment complete on server localhost/127.0.0.1:2181, sessionid = 0x146d3fcb5de0044, negotiated timeout = 30000

14/06/25 16:18:20 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable

14/06/25 16:18:21 INFO Configuration.deprecation: session.id is deprecated. Instead, use dfs.metrics.session-id

14/06/25 16:18:21 INFO jvm.JvmMetrics: Initializing JVM Metrics with processName=JobTracker, sessionId=

14/06/25 16:18:21 WARN mapreduce.JobSubmitter: Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this.

14/06/25 16:18:21 WARN mapreduce.JobSubmitter: No job jar file set.  User classes may not be found. See Job or Job#setJar(String).

14/06/25 16:18:21 INFO input.FileInputFormat: Total input paths to process : 1

14/06/25 16:18:21 INFO mapreduce.JobSubmitter: number of splits:1

14/06/25 16:18:21 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_local1483915024_0001

14/06/25 16:18:21 WARN conf.Configuration: file:/tmp/hadoop-kelly.oconor/mapred/staging/kelly.oconor1483915024/.staging/job_local1483915024_0001/job.xml:an attempt to override final parameter: mapreduce.job.end-notification.max.retry.interval;  Ignoring.

14/06/25 16:18:21 WARN conf.Configuration: file:/tmp/hadoop-kelly.oconor/mapred/staging/kelly.oconor1483915024/.staging/job_local1483915024_0001/job.xml:an attempt to override final parameter: mapreduce.job.end-notification.max.attempts;  Ignoring.

14/06/25 16:19:57 INFO mapred.LocalDistributedCacheManager: Creating symlink: /tmp/hadoop-kelly.oconor/mapred/local/1403727501922/geomesa-gdelt-1.0-SNAPSHOT.jar <- /Users/kelly.oconor/geomesa-gdelt/geomesa-gdelt-1.0-SNAPSHOT.jar

14/06/25 16:19:57 INFO mapred.LocalDistributedCacheManager: Localized hdfs://localhost:9000/tmp/geomesa-gdelt-1.0-SNAPSHOT.jar as file:/tmp/hadoop-kelly.oconor/mapred/local/1403727501922/geomesa-gdelt-1.0-SNAPSHOT.jar

14/06/25 16:19:57 WARN conf.Configuration: file:/tmp/hadoop-kelly.oconor/mapred/local/localRunner/kelly.oconor/job_local1483915024_0001/job_local1483915024_0001.xml:an attempt to override final parameter: mapreduce.job.end-notification.max.retry.interval;  Ignoring.

14/06/25 16:19:57 WARN conf.Configuration: file:/tmp/hadoop-kelly.oconor/mapred/local/localRunner/kelly.oconor/job_local1483915024_0001/job_local1483915024_0001.xml:an attempt to override final parameter: mapreduce.job.end-notification.max.attempts;  Ignoring.

14/06/25 16:19:57 INFO mapred.LocalDistributedCacheManager: file:/tmp/hadoop-kelly.oconor/mapred/local/1403727501922/geomesa-gdelt-1.0-SNAPSHOT.jar/

14/06/25 16:19:57 INFO mapreduce.Job: The url to track the job: http://localhost:8080/

14/06/25 16:19:57 INFO mapreduce.Job: Running job: job_local1483915024_0001

14/06/25 16:19:57 INFO mapred.LocalJobRunner: OutputCommitter set in config null

14/06/25 16:19:57 INFO mapred.LocalJobRunner: OutputCommitter is org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter

14/06/25 16:19:57 INFO mapred.LocalJobRunner: Waiting for map tasks

14/06/25 16:19:57 INFO mapred.LocalJobRunner: Starting task: attempt_local1483915024_0001_m_000000_0

14/06/25 16:19:57 INFO util.ProcfsBasedProcessTree: ProcfsBasedProcessTree currently is supported only on Linux.

14/06/25 16:19:57 INFO mapred.Task:  Using ResourceCalculatorProcessTree : null

14/06/25 16:19:57 INFO mapred.MapTask: Processing split: hdfs://localhost:9000/Users/kelly.oconor/geomesa-gdelt/data/20140612.export.CSV:0+0

14/06/25 16:19:57 INFO mapred.MapTask: Map output collector class = org.apache.hadoop.mapred.MapTask$MapOutputBuffer

14/06/25 16:19:57 INFO mapred.MapTask: (EQUATOR) 0 kvi 26214396(104857584)

14/06/25 16:19:57 INFO mapred.MapTask: mapreduce.task.io.sort.mb: 100

14/06/25 16:19:57 INFO mapred.MapTask: soft limit at 83886080

14/06/25 16:19:57 INFO mapred.MapTask: bufstart = 0; bufvoid = 104857600

14/06/25 16:19:58 INFO mapred.MapTask: kvstart = 26214396; length = 6553600

14/06/25 16:19:58 INFO mapred.LocalJobRunner: 

14/06/25 16:19:58 INFO mapred.MapTask: Starting flush of map output

14/06/25 16:19:58 INFO mapred.Task: Task:attempt_local1483915024_0001_m_000000_0 is done. And is in the process of committing

14/06/25 16:19:58 INFO mapred.LocalJobRunner: map

14/06/25 16:19:58 INFO mapred.Task: Task 'attempt_local1483915024_0001_m_000000_0' done.

14/06/25 16:19:58 INFO mapred.LocalJobRunner: Finishing task: attempt_local1483915024_0001_m_000000_0

14/06/25 16:19:58 INFO mapred.LocalJobRunner: map task executor complete.

14/06/25 16:19:58 INFO mapred.LocalJobRunner: Waiting for reduce tasks

14/06/25 16:19:58 INFO mapred.LocalJobRunner: Starting task: attempt_local1483915024_0001_r_000000_0

14/06/25 16:19:58 INFO util.ProcfsBasedProcessTree: ProcfsBasedProcessTree currently is supported only on Linux.

14/06/25 16:19:58 INFO mapred.Task:  Using ResourceCalculatorProcessTree : null

14/06/25 16:19:58 INFO mapred.ReduceTask: Using ShuffleConsumerPlugin: org.apache.hadoop.mapreduce.task.reduce.Shuffle@2d3913db

14/06/25 16:19:58 INFO reduce.MergeManagerImpl: MergerManager: memoryLimit=333971456, maxSingleShuffleLimit=83492864, mergeThreshold=220421168, ioSortFactor=10, memToMemMergeOutputsThreshold=10

14/06/25 16:19:58 INFO reduce.EventFetcher: attempt_local1483915024_0001_r_000000_0 Thread started: EventFetcher for fetching Map Completion Events

14/06/25 16:19:58 INFO reduce.LocalFetcher: localfetcher#1 about to shuffle output of map attempt_local1483915024_0001_m_000000_0 decomp: 2 len: 6 to MEMORY

14/06/25 16:19:58 INFO reduce.InMemoryMapOutput: Read 2 bytes from map-output for attempt_local1483915024_0001_m_000000_0

14/06/25 16:19:58 INFO reduce.MergeManagerImpl: closeInMemoryFile -> map-output of size: 2, inMemoryMapOutputs.size() -> 1, commitMemory -> 0, usedMemory ->2

14/06/25 16:19:58 INFO reduce.EventFetcher: EventFetcher is interrupted.. Returning

14/06/25 16:19:58 INFO mapred.LocalJobRunner: 1 / 1 copied.

14/06/25 16:19:58 INFO reduce.MergeManagerImpl: finalMerge called with 1 in-memory map-outputs and 0 on-disk map-outputs

14/06/25 16:19:58 INFO mapred.Merger: Merging 1 sorted segments

14/06/25 16:19:58 INFO mapred.Merger: Down to the last merge-pass, with 0 segments left of total size: 0 bytes

14/06/25 16:19:58 INFO reduce.MergeManagerImpl: Merged 1 segments, 2 bytes to disk to satisfy reduce memory limit

14/06/25 16:19:58 INFO reduce.MergeManagerImpl: Merging 1 files, 6 bytes from disk

14/06/25 16:19:58 INFO reduce.MergeManagerImpl: Merging 0 segments, 0 bytes from memory into reduce

14/06/25 16:19:58 INFO mapred.Merger: Merging 1 sorted segments

14/06/25 16:19:58 INFO mapred.Merger: Down to the last merge-pass, with 0 segments left of total size: 0 bytes

14/06/25 16:19:58 INFO mapred.LocalJobRunner: 1 / 1 copied.

14/06/25 16:19:58 INFO Configuration.deprecation: mapred.skip.on is deprecated. Instead, use mapreduce.job.skiprecords

14/06/25 16:19:58 INFO mapred.Task: Task:attempt_local1483915024_0001_r_000000_0 is done. And is in the process of committing

14/06/25 16:19:58 INFO mapred.LocalJobRunner: reduce > reduce

14/06/25 16:19:58 INFO mapred.Task: Task 'attempt_local1483915024_0001_r_000000_0' done.

14/06/25 16:19:58 INFO mapred.LocalJobRunner: Finishing task: attempt_local1483915024_0001_r_000000_0

14/06/25 16:19:58 INFO mapred.LocalJobRunner: reduce task executor complete.

14/06/25 16:19:58 INFO mapreduce.Job: Job job_local1483915024_0001 running in uber mode : false

14/06/25 16:19:58 INFO mapreduce.Job:  map 100% reduce 100%

14/06/25 16:19:58 INFO mapreduce.Job: Job job_local1483915024_0001 completed successfully

14/06/25 16:19:58 INFO mapreduce.Job: Counters: 35

File System Counters

FILE: Number of bytes read=78321530

FILE: Number of bytes written=79398018

FILE: Number of read operations=0

FILE: Number of large read operations=0

FILE: Number of write operations=0

HDFS: Number of bytes read=78321110

HDFS: Number of bytes written=78321110

HDFS: Number of read operations=39

HDFS: Number of large read operations=0

HDFS: Number of write operations=8

Map-Reduce Framework

Map input records=0

Map output records=0

Map output bytes=0

Map output materialized bytes=6

Input split bytes=144

Combine input records=0

Combine output records=0

Reduce input groups=0

Reduce shuffle bytes=6

Reduce input records=0

Reduce output records=0

Spilled Records=0

Shuffled Maps =1

Failed Shuffles=0

Merged Map outputs=1

GC time elapsed (ms)=8

Total committed heap usage (bytes)=632291328

Shuffle Errors

BAD_ID=0

CONNECTION=0

IO_ERROR=0

WRONG_LENGTH=0

WRONG_MAP=0

WRONG_REDUCE=0

File Input Format Counters 

Bytes Read=0

File Output Format Counters 

Bytes Written=0




sorry that is alot. just really trying to get this resolved. 

​after this ran, i looked in the accumlo table created and there were only 6 entries.


From: geomesa-dev-bounces@xxxxxxxxxxxxxxxx <geomesa-dev-bounces@xxxxxxxxxxxxxxxx> on behalf of Hunter Provyn <fhp@xxxxxxxx>
Sent: Wednesday, June 25, 2014 4:49 PM
To: geomesa-dev@xxxxxxxxxxxxxxxx; Geomesa User discussions
Subject: Re: [geomesa-dev] GDELT tutorial
 
Kelly,

How quickly did the map reduce job finish?
One possible issue could be that you need to unzip the .zip file so that the file format is TSV.
In case that doesn't help, I will also try a few tests of my own and get back to you.

Hunter

On 06/25/2014 04:31 PM, Kelly O'Conor wrote:
Hi! 
Trying to work throught the GeoMesa-GDELT tutorial and getting stumped while ingesting the data downloaded from the GDELT link provided. 

After running: (ls -1 | xargs -n 1 zcat) | hadoop fs -put - /Users/kelly.oconor/geomesa-gdelt/GDELT.MASTERREDUCEDV2.1979-2013.zip 

Then 

hadoop jar target/geomesa-gdelt-1.0-SNAPSHOT.jar geomesa.gdelt.GDELTIngest -instanceId lumify -zookeepers localhost -user root -password password -auths kelly -visibilities kelly -tableName gdelt10 -featureName gdelt -ingestFile hdfs:///Users/kelly.oconor/geomesa-gdelt/GDELT.MASTERREDUCEDV2.1979-2013.zip 



I have noticed that in my accumulo tables there only appears to be 6 entries.



The Map Reduce job seems to finish so I am at a loss for where the data is going. How do I get the entries into the table? 


Thanks 


Kelly O’Conor 



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