phive

distributed parallel programming . The current software implementation is to specify a map function that maps a set of key-value pairs into a new set of key-value pairs, specifying the concurrency reduction function, which is used to guarantee that each of the mapped key-value pairs share the same set of keys ZooKeeperZookeeper is a distributed, open-source, distributed application coordination Service that contains a simple set of primitives and is an important component of Hadoop and HBase.

detailed.3. Compile and package sparkIt is necessary to set MAVEN to use memory before compiling, otherwise it will overflow during compilation, if it is a Linux system execute the following command:Export maven_opts="-xmx2g-xx:maxpermsize=512m-xx:reservedcodecachesize=512m"Execute the following command under Windows system:Set maven_opts=-xmx2g-xx:maxpermsize=512m-xx:reservedcodecachesize=512mExecute the following command to start compiling the appropriate CDH version and to support ganglia,hi

Mac OS X maven compiled spark-2.1.0 for hadoop-2.8.01. The official documentation requires the installation of Maven 3.3.9+ and Java 8;2. Implementation Export maven_opts= "-xmx2g-xx:reservedcodecachesize=512m"3.CD spark2.1.0 Source root directory./build/mvn-pyarn-phadoop-2.8-dhadoop.version=2.8.0-dscala-2.11-phive-phive-thriftserver-dskiptests Clean Package4 Switch to the compiled dev directory and execute

1. After downloading 1.3.0 source code, execute the following command:./make-distribution.sh--tgz--skip-java-test--with-tachyon-dhadoop.version=2.4.0-djava.version=1.7- Dprotobuf.version=2.5.0-pyarn-phive-phive-thriftserver2. Parameter Description: --tgz Build the deployment package; --skip-java-test filter the test phase; --with-tachyon feel tachyon is a trend, so add tachyon suppor

This example records the process and problems of Spark source code compilation Because the compilation will have a lot of inexplicable errors, for convenience, using the CDH version of Hadoop, note that the version is consistent with mine,Environment: maven3.0.5 scala2.10.4 :Http://www.scala-lang.org/download/all.htmlspark-1.3.0-src :Http://spark.apache.org/downloads.htmlhadoop version: hadoop-2.6.0-cdh5.4.0.tar.gz : http://archive.cloudera.com/cdh5/cdh/5/ Size: 282MHow to: mak

Spark Compile:1, Java installation (recommended with jdk1.6)2. Compiling commands./make-distribution.sh--tgz-phadoop-2.4-dhadoop.version=2.6.0-pyarn-dskiptests-phive-phive-thriftserverSpark Launcher:├──bin│├──beeline│├──beeline.cmd│├──compute-classpath.cmd│├──compute-classpath.sh│├──load-spark-env.sh│├──pyspark│├──pyspark2.cmd│├──pyspark.cmd│├──run-example│├──run-example2.cmd│├──run-example.cmd│├──spark-cla

Spark Cluster Setup 1 Spark Compilation 1.1 Download Source code git clone git://github.com/apache/spark.git-b branch-1.6 1.2 Modifying the pom file Add cdh5.0.2 related profiles as follows: 1.3 Compiling Build/mvn-pyarn-pcdh5.0.2-phive-phive-thriftserver-pnative-dskiptests Package The above command, due to foreign maven.twttr.com by the wall, added hosts,199.16.156.89 maven.twttr.com, executed a

hive.vectorized.groupby.checkinterval=4096 hive.vectorized.groupby.flush.percent=0.1 Hive.compute.query.using.stats=true hive.limit.pushdown.memory.usage=0.4 Hive.optimize.index.filter=true hive.exec.reducers.bytes.per.reducer=67108864 hive.smbjoin.cache.rows=10hive.exec.orc.default.stripe.size=67108864 Hive.fetch.task.conversion=more hive.fetch.task.conversion.threshold=1073741824 Hive.fetch.task.aggr=false Mapreduce.input.fileinputformat.list-status.num-threads=5 Spark.kryo.referencetracking=

Tags: sparksql spark compilationmaven:3.3.9Jdk:java Version "1.8.0_51"Spark:spark-1.6.1.tgzscala:2.11.7If the Scala version is 2.11.x, execute the following script./dev/change-scala-version.sh 2.11Spark is compiled by default with Scala's 2.10.5The compile command is as follows:mvn-pyarn-phadoop-2.6-dhadoop.version=2.6.0 -phive-phive-thriftserver-dscala-2.11 -DskipTests Clean PackageThe red section is the r

1, download spark source code extracted to the directory/usr/local/spark-1.5.0-cdh5.5.1 to see if there are pom.xml file 2, switch to the directory/usr/local/spark-1.5.0-cdh5.5.1 execution: When compiling the spark source code, you need to download the dependency pack from the Internet, so the entire build process machine must be in a networked state. The compilation executes the following script: [hadoop@hadoopspark-1.5.0-cdh5.5.1]$exportmaven_opts= "-xmx2g-xx:maxpermsize=512m -x:reservedcodec

-phadoop-2.6-phive-phive-thriftserver AssemblyA long waiting time ... Take a look at the authoritative guide to Hadoop ...Failure, failure, and failure!Back to the point of origin, and turned to maven. I found that Maven was prone to error when compiling the entire spark source code, and it was a bit of a hassle to find it. So, I decided to a small folder compiled, found that really can ah. Now compiling th

When compiling the spark1.3.0:Export maven_opts="-xmx2g-xx:maxpermsize=512m-xx:reservedcodecachesize=512m" -dskiptests-phadoop-2.4 -dhadoop.version=2.5. 0-cdh5. 3.1 -pyarn-phive-0.13. 1 -phive-thriftserverError: for incremental Compilation[info] compiler plugin:basicartifact (org.scalamacros,paradise_2. 10.4,2.0. 1,null)file not Found:sbt-interface.jar[error] See zinc-help for information About locating ne

1. Download:Http://spark.apache.org/downloads.htmlSelect Download Source2. Source code compilation1) UnzipTAR-ZXVF spark-1.4.1.tgz2. CompilingGo to the root directory and compile with make-distribution.sh. CD spark-1.4.1sudo./make-distribution.sh--tgz--skip-java-test-pyarn-phadoop-2.2-dhadoop.version=2.2.0-phive- Phive-thriftserver-dskiptests Clean PackageIf there is an error in the middle, please re-run, t

1. Download and compile Spark source codeDownload Spark http://spark.apache.org/downloads.html I downloaded the 1.2.0 versionUnzip and compile, before compiling, you can modify the corresponding Pom.xml configuration according to the environment of your machine, my environment is hadoop2.4.1 to modify a small version number, compile includes support for hive, yarn, ganglia, etc.Tar xzf ~/source/spark-1.2.0.tgzcd spark-1.2.0vi pom.xml./make-distribution.sh--name 2.4.1--with-tachyon--tgz- pspark-g

(Rowwritesupport.spark_row_schema) Val Mergedmetadata = globalMetaData.getKeyValueMetaData.updated (Rowreadsupport.spark_metadata_key, Setasjavaset (Set ( Metadata)) Globalmetadata = new Globalmetadata (Globalmetadata.getschema, Mergedmetadata, Globalmetadata.getcreatedby) Val endTime = System.currenttimemillis (); Loginfo ("\n*** updated Globalmetadata in" + ( Endtime-starttime) + "Ms. ***\n");Where the 第2-4 line is necessary, the three rows are taken from the spark1.3. The other three lines j

1. After installing Spark, enter spark in the bin directory: Bin/spark-shell scala> val textfile = Sc.textfile ("/users/admin/spark/ Spark-1.6.1-bin-hadoop2.6/readme.md ") scala> Textfile.flatmap (_.split (" ")). Filter (!_.isempty). Map ((_,1)). Reducebykey (_+_). Collect (). foreach (println) Result: (-psparkr,1) (build,1)(built,1)(-phive-thriftserver,1)(2.4.0,1)(-phadoop-2.4,1)(spark,1)(-pyarn,1)(1.5.1,1)(flags:,1)(for,1)(-

1, download Spark source extract to directory/usr/local/spark-1.5.0-cdh5.5.1, see if there is pom.xml file 2, switch to directory/usr/local/spark-1.5.0-cdh5.5.1 execution: When compiling the spark source code, you need to download the dependency package from the Internet, so the entire compilation process machine must be in the networked state. The compilation executes the following script: [hadoop@hadoopspark-1.5.0-cdh5.5.1]$exportmaven_opts= "-xmx2g-xx:maxpermsize=512m -x:reservedcodecachesiz

" Always thought to be an input format issue:3. Add MySQL JDBC driver to Spark's classpath[Email protected] bin]$./spark-sql Spark Assembly have been built with Hive, including DataNucleus jars on classpathHint to compile with 2 parametersRecompile:./make-distribution.sh--tgz-phadoop-2.4-pyarn-dskiptests-dhadoop.version=2.4.1-phive-phive-thriftserverThe Spark-default has been specified in theCreate a table

How to use IntelliJ to load spark source codeReprint Annotated Original http://www.cnblogs.com/shenh062326/p/6189643.htmlA suitable IDE editor is required to view the spark source code or to modify the spark source code, and the Spark source editor is the IntelliJ.However, if using IntelliJ to load the spark source mode is not correct, there will be a lot of red dots, as shown, and a lot of code can not complete the jump, today I would like to show you how to use IntelliJ to load spark source co

. Rename the spark-1.1.0 and move it to the/app/complied directory$MV SPARK-1.1.0/APP/COMPLIED/SPARK-1.1.0-MVN$ls/app/complied1.2.3 Compiling codeWhen compiling the spark source code, you need to download the dependency package from the Internet, so the entire compilation process machine must be in the networked state. The compilation executes the following script:$CD/APP/COMPLIED/SPARK-1.1.0-MVN$export maven_opts= "-xmx2g-xx:maxpermsize=512m-xx:reservedcodecachesize=512m"$MVN-pyarn-phadoop-2.2-