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eqbalz
/ xdf_factor_levels.R
Created
April 19, 2017 18:52
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| xdfData <- RxXdfData(file.path(rxGetOption("sampleDataDir"), "AirlineDemoSmallComposite")) | |
| varInfo <- rxGetVarInfo(xdfData) | |
| length(varInfo$DayOfWeek$levels) |
eqbalz
/ sqlserver-logging.R
Last active
April 12, 2017 23:21
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| rxOptions(traceLevel=4) | |
| connectionString <- "Driver=SQL Server;Server=.;Uid=RevoTester;Pwd=*******;Database=RevoTestDB;" | |
| sqlServerCC <- RxInSqlServer(connectionString = connectionString, | |
| shareDir = "C:/Users/<username>/Documents", | |
| numTasks = 2, | |
| autoCleanup = FALSE, | |
| consoleOutput=TRUE, | |
| wait = TRUE) | |
| data <- RxSqlServerData(table = "dbo.AirlineDemoSmall", connectionString = connectionString) | |
| rxSetComputeContext(sqlServerCC) |
eqbalz
/ hadoop-client.R
Last active
April 12, 2017 23:22
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| rxOptions(traceLevel=4) | |
| myHadoopCluster <- RxHadoopMR( | |
| clientShareDir = "<client folder>", | |
| sshUsername = "<head node user id>", | |
| sshHostname = "<head node host name>", | |
| sshSwitches = "-i <key file path>", | |
| sshClientDir = "C:\\Program Files (x86)\\PuTTY", | |
| consoleOutput = TRUE, | |
| autoCleanup = FALSE, | |
| hadoopSwitches = "-Dmapreduce.task.timeout=0") |
eqbalz
/ teradata-logging.R
Last active
April 12, 2017 23:22
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| rxOptions(traceLevel=4) | |
| connectionString <- "Driver=Teradata;DBCNAME=<DBCNAME>;Uid=RevoTester;pwd=*********;Database=RevoTestDB" | |
| teradataCC <- RxInTeradata( | |
| connectionString = connectionString , | |
| shareDir = "C:/User/<username>/Documents", | |
| remoteShareDir = "/tmp/revoJobs", | |
| revoPath = "/usr/lib64/microsoft-r/3.3/lib64/R", | |
| wait = TRUE, | |
| consoleOutput = TRUE, | |
| autoCleanup = FALSE) |
eqbalz
/ hive_date_newfixed.R
Last active
February 17, 2017 01:52
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| sparkCC <- RxSpark(consoleOutput = TRUE, persistentRun = TRUE) | |
| rxSetComputeContext(sparkCC) | |
| dateColInfo <- list( | |
| id = list(type="integer"), | |
| depdate = list(type = "Date") | |
| ) | |
| hive_data <- RxHiveData( | |
| query = "select id, depdate from testdate", |
eqbalz
/ test_hive_date.R
Last active
February 17, 2017 01:26
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| sparkCC <- RxSpark(consoleOutput = TRUE, persistentRun = TRUE) | |
| rxSetComputeContext(sparkCC) | |
| #Optional | |
| dateColInfo <- list( | |
| id = list(type="integer"), | |
| depdate = list(type = "character") | |
| ) | |
| hive_data <- RxHiveData( |
eqbalz
/ predict_arrdel_15.R
Last active
February 8, 2017 19:02
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| #RxHiveData only works with spark compute context | |
| #If you need to submit to a specific yarn queue, you can use extraSparkConfig = "--conf spark.yarn.queue=<queue name>" in RxSpark | |
| computeContext <- RxSpark(consoleOutput = TRUE, persistentRun = TRUE) | |
| rxSetComputeContext(computeContext) | |
| airColInfo <- list( | |
| arrdelay = list(type = "integer"), | |
| #crsdeptime = list(type = "numeric"), | |
| dayofweek = list( | |
| type = "factor", |
eqbalz
/ hive_to_df.R
Last active
February 8, 2017 19:03
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| #RxHiveData only works with spark compute context | |
| computeContext <- RxSpark(consoleOutput = TRUE, persistentRun = TRUE) | |
| rxSetComputeContext(computeContext) | |
| airColInfo <- list( | |
| arrdelay = list(type = "integer"), | |
| #crsdeptime = list(type = "numeric"), | |
| dayofweek = list( | |
| type = "factor", | |
| levels = c( |
eqbalz
/ hive_to_xdf.R
Last active
February 8, 2017 19:03
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| #RxHiveData only works with spark compute context | |
| computeContext <- RxSpark(consoleOutput = TRUE, persistentRun = TRUE) | |
| rxSetComputeContext(computeContext) | |
| airColInfo <- list( | |
| arrdelay = list(type = "integer"), | |
| #crsdeptime = list(type = "numeric"), | |
| dayofweek = list( | |
| type = "factor", | |
| levels = c( |
eqbalz
/ hive_data_summary.R
Last active
February 8, 2017 19:03
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| #RxHiveData only works with spark compute context | |
| computeContext <- RxSpark(consoleOutput = TRUE, persistentRun = TRUE) | |
| rxSetComputeContext(computeContext) | |
| airColInfo <- list( | |
| arrdelay = list(type = "integer"), | |
| #crsdeptime = list(type = "numeric"), | |
| dayofweek = list( | |
| type = "factor", | |
| levels = c( |
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