extensionexportnode properties

With the Extension Export node, you can run R or Python for Spark scripts to export data.

Python for Spark example

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

python_script = """import spss.pyspark.runtime
from pyspark.sql import SQLContext
from pyspark.sql.types import *

cxt = spss.pyspark.runtime.getContext()
df = cxt.getSparkInputData()
print df.dtypes[:]
_newDF = df.select("Age","Drug")
print _newDF.dtypes[:]
    
df.select("Age", "Drug").write.save("c:/data/ageAndDrug.json", format="json")
"""

node.setPropertyValue("python_syntax", python_script)

R example

#### script example for R
node.setPropertyValue("syntax_type", "R")
node.setPropertyValue("r_syntax", """write.csv(modelerData, "C:/export.csv")""")

Table 1. extensionexportnode properties
`extensionexportnode` 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.
`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.