Reputation: 75
I'm trying to create a partition on one of the fields in csv and store it as parquet using Glue ETL (python). Problem is, this field is a timestamp so before creating a partition, I want to extract date from this timestamp and store it in a field and then use this new field to create a partition.
Here is my code below. I want to extract date from verificationdatetime
field into a field called verificationdate
and then add it as partitionkey
while writing to the DynamicFrame. Any ideas?
args = getResolvedOptions(sys.argv, ['JOB_NAME'])
sc = SparkContext()
glueContext = GlueContext(sc)
spark = glueContext.spark_session
job = Job(glueContext)
job.init(args['JOB_NAME'], args)
datasource0 = glueContext.create_dynamic_frame.from_catalog(database
= "sample_database", table_name = "sample_table", transformation_ctx
= "datasource0")
applymapping1 = ApplyMapping.apply(frame = datasource0, mappings =
[("personid", "string", "personid", "string"),
("verificationdatetime", "string", "verificationdatetime"), ], transformation_ctx = "applymapping1")
resolvechoice2 = ResolveChoice.apply(frame = applymapping1, choice =
"make_struct", transformation_ctx = "resolvechoice2")
dropnullfields3 = DropNullFields.apply(frame = resolvechoice2,
transformation_ctx = "dropnullfields3")
datasink4 = glueContext.write_dynamic_frame.from_options(frame =
dropnullfields3, connection_type = "s3", connection_options =
{"path": "s3://samplebucket/samplefile/","partitionKeys":["type"]},
format = "parquet", transformation_ctx = "datasink4")
job.commit()
Upvotes: 4
Views: 4693
Reputation: 2144
df = dropnullfields3.toDF()
df = df.withColumn('verificationdate', to_date('verificationdatetime', 'MM/dd/yyyy HH:mm:ss.SSSSSS'))
Use date-format as specified in verificationdatetime
Upvotes: 2