Skip to main content

PySpark Utils

The missing PySpark utils.

Usage

To install:

pip install pyspark-utils
# It also depends on absl-py.

helper

import pyspark_utils.helper as spark_helper

# Nicely show rdd count and 3 items.
rdd = spark_helper.cache_and_log('MyRDD', rdd, 3)

op

import pyspark_utils.op as spark_op

# RDD<key, value>  ->  RDD<new_key, value>
pair_rdd.map(spark_op.do_key(lambda key: new_key))

# RDD<key, value>  ->  RDD<result>
pair_rdd.map(spark_op.do_tuple(lambda key, value: result))

# RDD<key, value>  ->  RDD<value, key>
pair_rdd.map(spark_op.swap_kv())

# RDD<key, value>  ->  RDD<key, value> if func(key)
pair_rdd.filter(spark_op.filter_key(lambda key: true_or_false))

# RDD<key, value>  ->  RDD<key, value> if func(value)
pair_rdd.filter(spark_op.filter_value(lambda value: true_or_false))

# RDD<iteratable>  ->  RDD<tuple_or_list> with transformed values.
rdd.map(spark_op.do_tuple_elems(lambda elem: new_elem))
rdd.map(spark_op.do_list_elems(lambda elem: new_elem))

# RDD<path>  ->  RDD<path> if path matches any given fnmatch-style patterns
rdd.filter(spark_op.filter_path(['*.txt', '*.csv', 'path/a.???']))

# RDD<element>  ->  RDD<element, element>
rdd.keyBy(spark_op.identity)

# RDD<key, value>   ->   RDD<key, value> with keys in key_rdd
spark_op.filter_keys(pair_rdd, key_rdd)

# RDD<key, value>   ->   RDD<key, value> with keys in whitelist and not in blacklist
spark_op.filter_keys(pair_rdd, whitelist_key_rdd, blacklist_key_rdd)

# RDD<key, value>   ->   RDD<key, value> with keys not in key_rdd
spark_op.substract_keys(pair_rdd, key_rdd)

# RDD<element>   ->   RDD<element> where element is not None
rdd.filter(spark_op.not_none)

# RDD<key>   ->   RDD<key, value>
rdd.map(spark_op.value_by(lambda key: value))

Release files for pyspark-utils 1.8.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pyspark-utils 1.8.0
File Size Uploaded
pyspark_utils-1.8.0.tar.gz 2.8 kB Details

Built distributions (wheels)

Table of built distributions (wheels) for pyspark-utils 1.8.0
File Interpreter ABI Platform
pyspark_utils-1.8.0-py3-none-any.whl Python 3 none any Details
pyspark_utils-1.8.0-py2-none-any.whl Python 2 none any Details

Total release size: 15.0 kB

Release files / pyspark_utils-1.8.0.tar.gz

Download URL pyspark_utils-1.8.0.tar.gz
Size 2.8 kB
Tags Source
SHA-256 checksum
How to use checksums
f26abeb57d0f5948225949a13f1c0803067f37a50cb687bbe13e1176a42a2913
BLAKE2b-256 checksum
How to use checksums
9a6137828595d99c84cfac144edd6aa7651c82a53aee16818ca62a4eed0ade3a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.14.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.3

Release files / pyspark_utils-1.8.0-py3-none-any.whl

Download URL pyspark_utils-1.8.0-py3-none-any.whl
Size 7.4 kB
Tags Python 3
SHA-256 checksum
How to use checksums
773915ff58da41cc5a473d03565405a3f385c03d7e8fc235b94efa691aa2ff01
BLAKE2b-256 checksum
How to use checksums
69497a9941937bc770331633bb58e7f09bbe363b79cc0e6673d4c8b6bee893e9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.14.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.3

Release files / pyspark_utils-1.8.0-py2-none-any.whl

Download URL pyspark_utils-1.8.0-py2-none-any.whl
Size 4.7 kB
Tags Python 2
SHA-256 checksum
How to use checksums
bac08380d67e17df7abd260f6178a5254bf2f324f272e5bbdb11b88ed922490d
BLAKE2b-256 checksum
How to use checksums
f10115452c594d3498b2a53aa96d80b55cc1e1329cdc28c48617c1b85f9a448c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.14.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.3

Release history Release notifications | RSS feed

This release

1.8.0 This release

3 release files

1.7.2

2 release files

1.7.1

2 release files

1.7.0

2 release files

1.6.0

2 release files

1.5.1

2 release files

1.5.0

2 release files

1.4.1

2 release files

1.4.0

2 release files

1.3.0

3 release files

1.2.1

3 release files

1.2

3 release files

1.1

3 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page