Skip to main content

Easy install parquet-tools

Project description

parquet-tools

Run Unittest Run CLI test

This is a pip installable parquet-tools. In other words, parquet-tools is a CLI tools of Apache Arrow. You can show parquet file content/schema on local disk or on Amazon S3. It is incompatible with original parquet-tools.

Features

  • Read Parquet data (local file or file on S3)
  • Read Parquet metadata/schema (local file or file on S3)

Installation

$ pip install parquet-tools

Usage

$ parquet-tools --help
usage: parquet-tools [-h] {show,csv,inspect} ...

parquet CLI tools

positional arguments:
  {show,csv,inspect}
    show              Show human readble format. see `show -h`
    csv               Cat csv style. see `csv -h`
    inspect           Inspect parquet file. see `inspect -h`

optional arguments:
  -h, --help          show this help message and exit

Usage Examples

Show local parquet file

$ parquet-tools show test.parquet
+-------+-------+---------+
|   one | two   | three   |
|-------+-------+---------|
|  -1   | foo   | True    |
| nan   | bar   | False   |
|   2.5 | baz   | True    |
+-------+-------+---------+

Show parquet file on S3

$ parquet-tools show s3://bucket-name/prefix/*
+-------+-------+---------+
|   one | two   | three   |
|-------+-------+---------|
|  -1   | foo   | True    |
| nan   | bar   | False   |
|   2.5 | baz   | True    |
+-------+-------+---------+

Inspect parquet file schema

$ parquet-tools inspect /path/to/parquet
Inspect output
############ file meta data ############
created_by: parquet-cpp version 1.5.1-SNAPSHOT
num_columns: 3
num_rows: 3
num_row_groups: 1
format_version: 1.0
serialized_size: 2226


############ Columns ############
one
two
three

############ Column(one) ############
name: one
path: one
max_definition_level: 1
max_repetition_level: 0
physical_type: DOUBLE
logical_type: None
converted_type (legacy): NONE

############ Column(two) ############
name: two
path: two
max_definition_level: 1
max_repetition_level: 0
physical_type: BYTE_ARRAY
logical_type: String
converted_type (legacy): UTF8

############ Column(three) ############
name: three
path: three
max_definition_level: 1
max_repetition_level: 0
physical_type: BOOLEAN
logical_type: None
converted_type (legacy): NONE

Cat CSV parquet and transform csvq

$ parquet-tools csv s3://bucket-name/test.parquet |csvq "select one, three where three"
+-------+-------+
|  one  | three |
+-------+-------+
| -1.0  | True  |
| 2.5   | True  |
+-------+-------+

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

parquet_tools-0.2.7.tar.gz (28.6 kB view details)

Uploaded Source

Built Distribution

parquet_tools-0.2.7-py3-none-any.whl (31.4 kB view details)

Uploaded Python 3

File details

Details for the file parquet_tools-0.2.7.tar.gz.

File metadata

  • Download URL: parquet_tools-0.2.7.tar.gz
  • Upload date:
  • Size: 28.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.8.2

File hashes

Hashes for parquet_tools-0.2.7.tar.gz
Algorithm Hash digest
SHA256 c34566a5cb293cdbce5d638fc82f208634f5d7611e53c3959adbb9060bd0816c
MD5 1b9efb9d34f48f81e80fae549a20f560
BLAKE2b-256 928f03720dc4e96e34fd8f0fc6fb4cf62e34299c75869caa7774e8c2ef1e1a2f

See more details on using hashes here.

File details

Details for the file parquet_tools-0.2.7-py3-none-any.whl.

File metadata

  • Download URL: parquet_tools-0.2.7-py3-none-any.whl
  • Upload date:
  • Size: 31.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.8.2

File hashes

Hashes for parquet_tools-0.2.7-py3-none-any.whl
Algorithm Hash digest
SHA256 cbbad914bc4cddea560a737f40b2e8cf456756de2020abedaa07a277baa1ddca
MD5 1ed615c43ae494997c98ba4f77d57184
BLAKE2b-256 34c93eea410c72c2293305a6c36d1c349d8a026fccc681afac5d4bd99864ba54

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page