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All tags: api 1 cleaning 1 dev-env 1 file-io 4 guide 12 local-pyspark 1 partitioning 1 performance 3 reference 1 sql 5 style-guide 1 theory 6 workflow 2
Remove duplicate rows from dataframe
Remove duplicate rows using distinct() and dropDuplicates()
2024-09-18
1 min
guide 12
cleaning 1
workflow 2
Cast string column to Date or DateTime using to_date() or to_timestamp()
Convert string column to Date or Datetime using to_date() and to_timestamp()
2024-01-28
3 min
guide 12
GROUP BY in pySpark
Group BY clause in the form of pySpark functions
2024-01-22
4 min
guide 12
sql 5
CASE in pySpark
SQL CASE clause in the form of pySpark functions
2024-01-17
5 min
guide 12
sql 5
Filter rows in pySpark
SQL WHERE clause in the form of pySpark functions
2024-01-17
3 min
guide 12
sql 5
Window functions with pySpark
How to use window functions in pySpark
2023-12-19
13 min
guide 12
sql 5
JSON - read, set schema and write with pySpark
Load data, set schema, save data using the DataFrameReader & DataFrameWriter APIs. Using various file formats.
2023-12-18
12 min
guide 12
file-io 4
Delta - read, set schema and write with pySpark
Reading and writing delta tables
2023-12-11
7 min
guide 12
file-io 4
Run spark locally with jupyter notebook
Docker based single note pyspark notebook setup
2023-11-18
1 min
guide 12
local-pyspark 1
dev-env 1
Cache and persist - why and how
Improve execution speed by caching/persisting intermediate dataframes
2023-11-18
16 min
guide 12
performance 3
Style guide - Chaining functions in python
Write better multiline pySpark code
2023-11-16
2 min
guide 12
style-guide 1
CSV - read, set schema and write with pySpark
Load data, set schema, save data using the DataFrameReader & DataFrameWriter APIs. Using various file formats.
2023-11-16
17 min
guide 12
file-io 4