Tags: Spark SQL hive CLIBackgroundThis article mainly introduces the current implementation of the CLI in Spark SQL, the code will certainly have a lot of changes, so I am concerned about the core of the logic. The main comparison is the implementation of the Hive
Tags: des style blog http color io os using JavaSpark SQL CLI DescriptionThe introduction of the spark SQL CLI makes it easier to query hive directly via Hive Metastore in Sparksql, and the current version cannot be used to interact with Thriftserver using the
Label:If you want to use the Spark SQL CLI to read the table in hive directly for analysis, you just need to set up a few simple answers. 1. Copy Hive-site.xml to spark conf cd/usr/local/hive/conf/hive-site.xml/usr/local/spark-1.5. 1/conf/ 2. Configure
: This script can not only accept all the options that the Spark-submit command can accept, but also supports the –hiveconf property = value option to configure hive properties. You can perform./sbin/start-thriftserver.sh–help to see a complete list of options. You can use Beeline to connect to the spark SQL engine that is already turned on. The command is as fo
Nov 6 17:22:3...|HOTFIX-Fix-python...|+----------------+--------------------+--------------------+--------------------+--------------------+(2) Calculate the total number of submissionsscala> sqlContext.sql("SELECT count(*) as TotalCommitNumber FROM commitlog").show+-----------------+|TotalCommitNumber|+-----------------+| 13507|+-----------------+(3) descending order by number of submissionsScala> Sqlcontext.sql ("Select Author,count (*) as CountNumber from Commitlog GROUP by autho
Sparksql refers to the Spark-sql CLI, which integrates hive, essentially accesses the hbase table via hive, specifically through Hive-hbase-handler, as described in the configuration: Hive (v): Hive and HBase integrationDirectory:
Sparksql Accessing HBase Configuration
Test validation
Sparksql to access HBase configuration:
Copy the a
-1.5.1-bin-hadoop2.4]$/bin/run-example streaming.networkwordcount 192.168.19.131 9999Then in the first line of the window, enter for example: Hello World, world of Hadoop world, Spark World, Flume world, Hello WorldSee if the second row of the window is counted;
1. Spark SQL and DataFrameA, what is spark
Tags: save overwrite worker ASE body compatible form result printWelcome to the big Data and AI technical articles released by the public number: Qing Research Academy, where you can learn the night white (author's pen name) carefully organized notes, let us make a little progress every day, so that excellent become a habit!One, spark SQL: Similar to Hive, is a data analysis engineWhat is
-1.1.2.2.4.2.0-258.jar:/usr/hdp/2.4.2.0-258/spark/lib/ Hbase-server-1.1.2.2.4.2.0-258.jar:/usr/hdp/2.4.2.0-258/spark/lib/hive-hbase-handler-1.2.1000.2.4.2.0-258.jar :/usr/hdp/2.4.2.0-258/spark/lib/htrace-core-3.1.0-incubating.jar: /usr/hdp/2.4.2.0-258/spark/lib/ Protobuf-java-2.5.0.jar:${spark_classpath}
Copy the H
Spark Asia-Pacific Research Institute wins big Data era public forum fifth: Spark SQL Architecture and case in-depth combat, video address: http://pan.baidu.com/share/link?shareid=3629554384uk= 4013289088fid=977951266414309Liaoliang Teacher (e-mail: [email protected] qq:1740415547)President and chief expert, Spark Asia
Tags: android http io using AR java strong data spSpark SQL Architecture and case drill-down video address:http://pan.baidu.com/share/link?shareid=3629554384uk=4013289088fid=977951266414309Liaoliang Teacher (e- mail:[email protected] QQ: 1740415547)President and chief expert, Spark Asia-Pacific Research Institute, China's only mobile internet and cloud computing big data synthesizer.In
Reference: Https://spark.apache.org/docs/latest/sql-programming-guide.html#overviewhttp://www.csdn.net/article/2015-04-03/2824407Spark SQL is a spark module for structured data processing. IT provides a programming abstraction called Dataframes and can also act as distributed SQL query engine.1) in
"Original Hadoopspark hands-on Practice 10" Spark SQL Programming Basics and hands-on practice (bottom)Goal:1. Deep understanding of the principles of spark SQL programming2. Use simple commands to verify how spark SQL works3. Use
: String) {}objectaccesslog{defparselogline (log:string): AccessLog ={valloginfo=log.split (",") if (loginfo.length==3) {accesslog (loginfo (0), Loginfo (1), loginfo (2)) }else{accesslog ("0", "0", "0") }}}The contents of the table in MySQL are as follows:Mysql> SELECT * from spark.iteminfo;+--------+----------+|Itemid |ItemName |+--------+----------+|001 |Phone | |002 |Computer | |003 | TV |+--------+----------+3 rows in Set (0.00 sec)Create a directory in D logs_incomingRun the
Label:Spark Learning five: Spark SQLtags (space delimited): Spark
Spark learns five spark SQL
An overview
Development history of the two spark
Three spark
First, prepareUpload apache-hive-1.2.1.tar.gz and Mysql--connector-java-5.1.6-bin.jar to NODE01Cd/toolsTAR-ZXVF apache-hive-1.2.1.tar.gz-c/ren/Cd/renMV apache-hive-1.2.1 hive-1.2.1This cluster uses MySQL as the hive metadata storeVI Etc/profileExport hive_home=/ren/hive-1.2.1Export path= $PATH: $HIVE _home/binSource/etc/profileSecond, install MySQLYum-y install MySQL mysql-server mysql-develCreating a hive Database Create databases HiveCreate a hive user grant all privileges the hive.* to [e-mai
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