spark sql partition

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

I. The problem of dividing the partitionHow to divide partition has a great impact on the collection of block data. If you need to speed up task execution based on block, what conditions should partition meet?Reference Ideas 1:range Partition1. Source:IBM DB2 blu;google Powerdrill;shark on HDFS2. Rules:Range partition follows three principles: 1. Fine-grained ran

Spark SQL is one of the most widely used components of Apache Spark, providing a very friendly interface for distributed processing of structured data, with successful production practices in many applications, but on hyper-scale clusters and datasets, Spark SQL still encoun

The Schemardd from spark1.2 to Spark1.3,spark SQL has changed considerably from Dataframe,dataframe to Schemardd, while providing more useful and convenient APIs.When Dataframe writes data to hive, the default is hive default database, Insertinto does not specify the parameters of the database, this article uses the following method to write data to the hive table or the

Reference article:Deep understanding of the spark RDD abstract model and writing RDD functionsRdd DependencySpark Dispatch SeriesPartial function Introduction Dependency Graph Dependency Concept Class narrow dependency class Onetoonedependency Rangedependency prunedependency wide dependency class diagram shuffledependency Introduction The dependency between rdd is broadly divided into two categories: narrow dependency and wide dependency.Borrowed from

-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

Spark Partition Details! DT Big Data Dream Factory Liaoliang teacher personally explain!Http://www.tudou.com/home/_79823675/playlist?qq-pf-to=pcqq.groupWhat is the difference between a shard and a partition?Sharding is from the point of view of the data, the partition is calculated from the point of view , actually are

Tags: data table ext Direct DFS-car Alice LED[Spark] [Python] [DataFrame] [SQL] Examples of Spark direct SQL processing for Dataframe $cat People.json {"Name": "Alice", "Pcode": "94304"}{"Name": "Brayden", "age": +, "Pcode": "94304"}{"Name": "Carla", "age": +, "Pcoe": "10036"}{"Name": "Diana", "Age": 46}{"Name": "Etien

1. Install Hadoop clusterReference: http://www.cnblogs.com/wcwen1990/p/6739151.html2. Installing hiveReference: http://www.cnblogs.com/wcwen1990/p/6757240.html3. Installation configuration SparkCompiling spark:http://www.cnblogs.com/wcwen1990/p/7688027.htmlDeployment reference: Http://www.cnblogs.com/wcwen1990/p/6889521.html4. Spark-sql Integrated HiveCopy the Hdfs-site.xml, hive-site.xml configuration file

1. Partitioning A partition is a computational unit of the RDD internal parallel computation, the data set of the RDD is logically divided into multiple shards, each of which is called a partition, and the format of the partition determines the granularity of the parallel computation, and the numerical computation of each pa