sparksql-Michael Armbrust

sparksql-Michael Armbrust

ID:40701424

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时间:2019-08-06

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1、BeyondSQL:SpeedingupSparkwithDataFramesMichaelArmbrust-@michaelarmbrustMarch2015–SparkSummitEastAboutMeandSQLSparkSQLGraduatedfromAlphain1.3•PartofthecoredistributionsinceSpark1.0(April2014)#ofUniqueContributors#OfCommitsPerMonth150 200 150 100 100 50 50 0 0 2AboutMeandSQLSparkSQL•Pa

2、rtofthecoredistributionsinceSpark1.0(April2014)•RunsSQL/HiveQLqueries,optionallyalongsideorreplacingexistingHivedeploymentsSELECTCOUNT(*) FROMhiveTableWHEREhive_udf(data)3AboutMeandSQLSparkSQL•PartofthecoredistributionsinceSpark1.0(April2014)•RunsSQL/HiveQLqueries,optionallyalongside

3、orreplacingexistingHivedeployments•ConnectexistingBItoolstoSparkthroughJDBC4AboutMeandSQLSparkSQL•PartofthecoredistributionsinceSpark1.0(April2014)•RunsSQL/HiveQLqueries,optionallyalongsideorreplacingexistingHivedeployments•ConnectexistingBItoolstoSparkthroughJDBC•BindingsinPython,Sc

4、ala,andJava5AboutMeandSQLSparkSQL•PartofthecoredistributionsinceSpark1.0(April2014)•RunsSQL/HiveQLqueries,optionallyalongsideorreplacingexistingHivedeployments•ConnectexistingBItoolstoSparkthroughJDBC•BindingsinPython,Scala,andJava@michaelarmbrust•LeaddeveloperofSparkSQL@databricks6T

5、henot-so-secrettruth...SQLisnotaboutSQL.7ExecutionEnginePerformanceTPC-DSPerformance450400350300250Shark200SparkSQL15010050037192734424346525355596368737989988Thenot-so-secrettruth...SQLisaboutmorethanSQL.9SparkSQL:ThewholestoryCreatingandRunningSparkProgramsFaster:•Writelesscode•Rea

6、dlessdata•Lettheoptimizerdothehardwork10DataFramenoun–[dey-tuh-freym]1.Adistributedcollectionofrowsorganizedintonamedcolumns.2.Anabstractionforselecting,filtering,aggregatingandplottingstructureddata(cf.R,Pandas).3.Archaic:PreviouslySchemaRDD(cf.Spark<1.3).11WriteLessCode:Input&Outpu

7、tSparkSQL’sDataSourceAPIcanreadandwriteDataFramesusingavarietyofformats.Built-InExternal{JSON}JDBCandmore…12WriteLessCode:High-LevelOperationsCommonoperationscanbeexpressedconciselyascallstotheDataFrameAPI:•Selectingrequiredcolumns•Joiningdifferentdatasources•Aggregation(count,sum,ave

8、rage,etc)•Fi

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