Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Correct framework apply schema transformer #248

Open
wants to merge 1 commit into
base: master
Choose a base branch
from
Open

Correct framework apply schema transformer #248

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
18 changes: 14 additions & 4 deletions .../transformers/framework_apply_schema_transformer/v1/framework_apply_schema_transformer.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -4,8 +4,8 @@
from spark_pipeline_framework.utilities.capture_parameters import capture_parameters
from pyspark.ml.param import Param
from pyspark.sql.dataframe import DataFrame
from pyspark.sql.functions import col
from pyspark.sql.types import StructType, StructField, DataType
from pyspark.sql.functions import lit
from spark_pipeline_framework.logger.yarn_logger import get_logger
from spark_pipeline_framework.progress_logger.progress_logger import ProgressLogger
from spark_pipeline_framework.transformers.framework_transformer.v1.framework_transformer import (
Expand All @@ -19,13 +19,22 @@ class FrameworkApplySchemaTransformer(FrameworkTransformer):
def __init__(
self,
*,
# add your parameters here (be sure to add them to setParams below too)
name: Optional[str] = None,
parameters: Optional[Dict[str, Any]] = None,
progress_logger: Optional[ProgressLogger] = None,
view: str,
schema: StructType,
):
) -> None:
"""
Takes a schema and applies it to an existing view

:param name: a name for the transformer step
:param parameters: a dictionary of parameters
:param progress_logger: the logger object to be used for logging
:param view: the view that shall have the schema applied
:param schema: a schema StructType object that shall be applied
:return: None (modifies the view in place)
"""
super().__init__(
name=name, parameters=parameters, progress_logger=progress_logger
)
Expand All @@ -50,7 +59,8 @@ def _transform(self, df: DataFrame) -> DataFrame:
for field in schema.fields:
column_name: str = field.name
column_type: DataType = field.dataType
df = df.withColumn(column_name, col(column_name).cast(column_type))
if column_name not in df.columns:
df = df.withColumn(column_name, lit(None).cast(column_type))
df.createOrReplaceTempView(view)
return df

Expand Down