sprk

manage meta dataNeed to have a server with MySQL: I was preparing another one for testing.[Email protected]:~$ mysql-uroot-pmysqlmysql> CREATE USER ' hive ' identified by ' hive ';mysql> GRANT all privileges On * * to ' hive ' @ '% ' with GRANT option;mysql> flush privileges;Using JDBC to manage metadata requires the preparation of a JDBC driver, which has been provided with links that can be used:The MV mysql-connector-java-5.1.39/mysql-connector-java-5.1.39-bin.jar/usr/local/hadoop/hive/lib/T

program with the Hivecontext class provided by Spark. 1. Copy the hive's hive-site.xml into the $spark-home/conf directory, which is configured with hive metastore metadata stored in the database location, if the database does not exist, of course, We can define a database, and then the program will automatically create the corresponding metabase when the spark cluster is running. 2. If HDFS is configured for high availability, copy the Hdfs-site.xml and Core-site.xml files from the Hadoop cl

Label:Spark Learning five: Spark SQLtags (space delimited): Spark Spark learns five spark SQL An overview Development history of the two spark Three spark SQL and hive comparison Quad Spark SQL schema Five SPRK SQL access to hive data Six catalyst Seven Thriftserver Eight Dataframe Nine load external data sources Spark SQL Power was born One, overview: Second, the

also obvious differences: The shuffle process of Hadoop is a distinct phase: Map (), Spill,merge,shuffle,sort,reduce (), and so on, are executed according to the process, and belong to the push type; however, unlike Spark, Because the shuffle process of spark is operator driven and has lazy execution, it belongs to the pull type.The second obvious difference between Spark and Hadoop's shuffle is that Spark's shuffle is hash-based type, and Hadoop's shuffle is sort-based type. Here's a brief int

/examples/target/scala-2.11. 4/spar$export spark_home=/home/liucc/software/spark/spark-1.0. 0Note: Spark_examples_jar's settings are excerpt from PIG2: This step is actually the most critical, unfortunately, the official documents and online blogs, have not mentioned this point. I accidentally saw these two posts, Running SPARKPI, Null pointer exception when Running./run Spark.examples.SparkPi Local, just to make up this step, You can't run SPARKPI until you're alive. 　　2.4 Configure spark, go t