Breaking News: Grepper is joining You.com. Read the official announcement!

I have a pyspark data frame that i overwrite whenevr i run an ETL task this table is written to a given path. i want to write in another path 3 dataframes describing deletion , updates and deletion. write a pyspark task to do so given a new datafram and a

Anas Ait Aomar answered on June 18, 2023 Popularity 1/10 Helpfulness 1/10

answer I have a pyspark data frame that i overwrite whenevr i run an ETL task this table is written to a given path. i want to write in another path 3 dataframes describing deletion , updates and deletion. write a pyspark task to do so given a new datafram and a

I have a pyspark data frame that i overwrite whenevr i run an ETL task this table is written to a given path. i want to write in another path 3 dataframes describing deletion , updates and deletion. write a pyspark task to do so given a new datafram and a

Comment

from pyspark.sql import SparkSession
from pyspark.sql.functions import col, lit, when

# Create a Spark session
spark = SparkSession.builder.getOrCreate()

# Read the new and old dataframes from their respective paths
new_df = spark.read.parquet("<path_to_new_dataframe>")
old_df = spark.read.parquet("<path_to_old_dataframe>")

# Find the insertions (new rows) by performing a left anti-join
insertions_df = new_df.join(old_df, on=new_df.columns, how="leftanti")

# Find the updates by performing an inner join and comparing column values
updates_df = new_df.join(old_df, on=new_df.columns, how="inner").filter(
    ~col("new_df_column_1").eqNullSafe(col("old_df_column_1")) |
    ~col("new_df_column_2").eqNullSafe(col("old_df_column_2"))  # Add more columns as needed
)

# Find the deletions (rows present in the old dataframe but not in the new dataframe)
deletions_df = old_df.join(new_df, on=old_df.columns, how="leftanti")

# Write the insertion, update, and deletion dataframes to their respective paths
insertions_df.write.mode("overwrite").parquet("<path_to_insertions>")
updates_df.write.mode("overwrite").parquet("<path_to_updates>")
deletions_df.write.mode("overwrite").parquet("<path_to_deletions>")

Popularity 1/10 Helpfulness 1/10 Language python

Source: chat.openai.com

Tags: etl frame overwrite path pyspark python task this updates

Link to this answer
Share Copy Link

Contributed on Jun 18 2023

Anas Ait Aomar

0 Answers Avg Quality 2/10

I have a pyspark data frame that i overwrite whenevr i run an ETL task this table is written to a given path. i want to write in another path 3 dataframes describing deletion , updates and deletion. write a pyspark task to do so given a new datafram and a

Contents

More Related Answers

I have a pyspark data frame that i overwrite whenevr i run an ETL task this table is written to a given path. i want to write in another path 3 dataframes describing deletion , updates and deletion. write a pyspark task to do so given a new datafram and a

Grepper

Documentation

Social

Legal

Contact

Oops, You will need to install Grepper and log-in to perform this action.