extensionprocessnode properties

Extension Transform node icon With the Extension Transform node, you can take data from a flow and apply transformations to the data using R scripting or Python for Spark scripting.

Python for Spark example

#### script example for Python for Spark
import modeler.api
stream = modeler.script.stream()
node = stream.create("extension_process", "extension_process")
node.setPropertyValue("syntax_type", "Python")

process_script = """
import spss.pyspark.runtime
from pyspark.sql.types import *

cxt = spss.pyspark.runtime.getContext()

if cxt.isComputeDataModelOnly():
    _schema = StructType([StructField("Age", LongType(), nullable=True), \
                      StructField("Sex", StringType(), nullable=True), \
                      StructField("BP", StringType(), nullable=True), \
                      StructField("Na", DoubleType(), nullable=True), \
                      StructField("K", DoubleType(), nullable=True), \
                      StructField("Drug", StringType(), nullable=True)])
    cxt.setSparkOutputSchema(_schema)
else:
    df = cxt.getSparkInputData()
    print df.dtypes[:]
    _newDF = df.select("Age","Sex","BP","Na","K","Drug")
    print _newDF.dtypes[:]
    cxt.setSparkOutputData(_newDF)
"""

node.setPropertyValue("python_syntax", process_script)

R example

#### script example for R
node.setPropertyValue("syntax_type", "R")
node.setPropertyValue("r_syntax", """day<-as.Date(modelerData$dob, format="%Y-%m-%d")
next_day<-day + 1
modelerData<-cbind(modelerData,next_day)
var1<-c(fieldName="Next day",fieldLabel="",fieldStorage="date",fieldMeasure="",fieldFormat="",
fieldRole="")
modelerDataModel<-data.frame(modelerDataModel,var1)""")
Table 1. extensionprocessnode properties
extensionprocessnode properties Data type Property description
syntax_type R Python Specify which script runs – R or Python (R is the default).
r_syntax string The R scripting syntax to run.
python_syntax string The Python scripting syntax to run.
use_batch_size flag Enable use of batch processing.
batch_size integer Specify the number of data records to include in each batch.
convert_flags
StringsAndDoubles
LogicalValues
Option to convert flag fields.
convert_missing flag Option to convert missing values to the R NA value.
convert_datetime flag Option to convert variables with date or datetime formats to R date/time formats.
convert_datetime_class
POSIXct
POSIXlt
Options to specify to what format variables with date or datetime formats are converted.