spark sql cli

Tags: query instance relationship method based on WWW sql PNG package Spark SQL provides the processing of structured data on the spark core, and in the Spark1.3 version, spark SQL not only serves as a distributed

I. Introduction to Spark SQL External datasourceWith the release of Spark1.2, Spark SQL began to formally support external data sources. Spark SQL opens up a series of interfaces for accessing external data sources to enable devel

columnar format by calling the Sqlcontext.cachetable ("TableName") method. Then, Spark will simply browse through the columns that are needed and automatically compress the data to reduce the use of memory and the pressure of garbage collection.You can also configure the memory cache by using the Setconf method on SqlContext or by running the Set key=value command with SQL.(2) configuration optionsYou can

(list);DataFrame RESULT_DF = Sqlcontext.createdataframe (Result_rdd_row, ST);Result_df.javardd (). foreach (new voidfunctionPrivate static final long serialversionuid = 1L; @Overridepublic void call (Row row) throws Exception {String sql = "INSERT into Good_student_infos values ("+ "'" + string.valueof (row.getstring (0)) + "',"+ integer.valueof (string.valueof (Row.get (1)) + ","+ integer.valueof (string.valueof (Row.get (2)) + ")";SYSTEM.OUT.PRINTL

Background This article can be said to be "a little exploration of Hive JSON data processing" in the Brotherhood. Platform to speed up the analysis efficiency of ad hoc queries, we installed Spark Server on our Hadoop cluster and shared metadata with our hive Data warehouse.That is, our users can execute MapReduce profiling data using hive SQL through HiveServer2, or use Sparkserver to perform

Last week Spark1.2 just released, the weekend at home nothing, to understand this feature, by the way to analyze the source code, see how this feature is designed and implemented./** Spark SQL Source Analysis series Article * /(Ps:external datasource Use article address: Spark SQL External DataSource External Data sour

Start the PostgreSQL service, start with the Sdbadmin user2>1 7 Create a database named "foo" for PostgreSQL5432 foo8 after logging in to the PG Shell, modify the password of the Sdbadmin userLogin PG ShellBin/psql FooExecute the following command in the shell to modify the password of the sdbadmin user to Sdbadmin' Sdbadmin ';The command can be executed under root user to test/opt/sequoiadb/bin/psql --username=sdbadmin-w fooAfter entering the sdbadmin password, you can log into the PG Shell n

Spark1.1 introduces the Uer Define function, which allows users to customize the actual UDF needed to process data in spark SQL.Because of the limited functions currently supported by Spark SQL itself, some commonly used functions are not, such as Len, concat...etc but it is very convenient to use UDFs to implement the functions according to business needs.The

the following two items Spark . dynamicallocation . 1#最小Executor数 Spark . dynamicallocation . #最大Executor数 Four:When executing, turn on the auto-adjust executor number switch to Spark-sql yarn client mode as an exampl

UDAF = USER DEFINED AGGREGATION FUNCTIONSpark SQL provides a wealth of built-in functions for apes to use, why do they need user-defined functions? The actual business scenario can be complex, and built-in functions can't hold, so spark SQL provides an extensible built-in function interface: Dude, your business is so perverted, I can't meet you, I define a

?createdatabaseifnotexist=truestring forA JDBC metastoreclassName forA JDBC metastore 3. Modify the time attribute (not done) then modify all the time attributes in the Hive-site.xml, the units of all the attributes are S (s), delete s and then add 3 0, all the properties of the unit for MS Delete Ms,spark cannot recognize these units, but instead they are all treated as numbers. 4. Distributing the configuration file SCP $

Tags: Other experience DFS build data app span creat ApacheThis article focuses on some of the most recent issues that have been experienced in using spark SQL. 1 Spark 2.0.1, when starting Thriftserver or Spark-sql, if you want to spar