Skip to main content

A Tool to Import JSON raw data to ElasticSearch in one line of commands

Project description

[![Build Status](https://travis-ci.org/xros/jsonpyes.svg?branch=master)](https://travis-ci.org/xros/jsonpyes) [![GitHub release](https://img.shields.io/github/release/xros/jsonpyes.svg)](https://github.com/xros/jsonpyes/releases) [![GitHub license](https://img.shields.io/github/license/xros/jsonpyes.svg)](https://github.com/xros/jsonpyes/blob/master/LICENSE)

Alexander Liu

  • To import raw JSON data files to ElasticSearch in one line of commands

![jsonpyes diagram](static/jsonpyes_data_processing_diagram.png)

Very fast – 4 to 10 times faster when processing big data.

### Installation

`pip install jsonpyes`

> Notice: Before using pip to install jsonpyes, firstly you need to install python-pip on your system. ( Supports Python Python2.7, 3.3, 3,4, 3.5, 3.6 )

jsonpyes

![user interface](https://raw.githubusercontent.com/xros/jsonpyes/master/static/snapshot236.png)

#### Instructions:

There are 3 proccesses of importing raw JSON data to ElasticSearch 1. Only validating raw JSON data 2. Without validating ,just import data to ElasticSearch 3. After validating successfully, then import data to ElasticSearch

A valid JSON file here refers to a JSON file stacked with many lines of data

file valid_data.json and its content

{“key1”: “valueA”, “key2”: {“sub_key1”: “value2A”, “sub_key2”: [“Good”, “Morning”]}} {“key1”: “valueB”, “key2”: {“sub_key1”: “value2B”, “sub_key2”: [“Good”, “Afternoon”]}} … {“key1”: “valueC”, “key2”: {“sub_key1”: “value2C”, “sub_key2”: [“Good”, “Evening”]}}

Functions included

##### 1. Validating JSON format data

`jsonpyes --data raw_data.json --check`

If the json data file is valid:

![json valid](https://raw.githubusercontent.com/xros/jsonpyes/master/static/snapshot98.jpg)

If the json data file is invalid:

![json invalid](https://raw.githubusercontent.com/xros/jsonpyes/master/static/snapshot99.jpg)

##### 2. Only importing without validating

`jsonpyes --data raw_data.json --bulk http://localhost:9200 --import --index myindex2 --type mytype2`

Notice: If the raw JSON data file is invalid, jsonpyes will not import it.

Or enable multi-threads `jsonpyes --data raw_data.json --bulk http://localhost:9200 --import --index myindex2 --type mytype2 --thread 8`

![no threads](https://raw.githubusercontent.com/xros/jsonpyes/master/static/snapshot102.jpg)

`jsonpyes` supports multi-threads when importing data to elasticsearch

##### Multi-threads comparison

  1. No multi-threads

    ![benchmarks](https://raw.githubusercontent.com/xros/jsonpyes/master/static/snapshot237.png)

  2. With 8 threads and jsonpyes cuts files into pieces, then destributes to workers fairly

    ![use helpers.bulk API with multi-threads](https://raw.githubusercontent.com/xros/jsonpyes/master/static/snapshot235.png)

> As you can see these two containers have same docs loaded, if we use _–thread 8_ it could be several times faster, usually 5 to 10 times faster. > That really depends on your computer/server resources. This was tested on a 4GB RAM / 2.4Ghz intel i5 Linux x64 laptop system.

And it works.

![it works](https://raw.githubusercontent.com/xros/jsonpyes/master/static/snapshot105.jpg)

##### 3. Both validating and importing

`jsonpyes --data raw_data.json --bulk http://localhost:9200 --import --index myindex1 --type mytype1 --check`

![validating and importing](https://raw.githubusercontent.com/xros/jsonpyes/master/static/snapshot135.png)

And it works.

![the results](https://raw.githubusercontent.com/xros/jsonpyes/master/static/snapshot101.jpg)

Reference

  • Algorithm handwritting

![handwritting](http://i.imgur.com/fgm1Mxt.jpg?1)

##### Happy hacking!

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

jsonpyes-1.4.1.tar.gz (12.8 kB view details)

Uploaded Source

File details

Details for the file jsonpyes-1.4.1.tar.gz.

File metadata

  • Download URL: jsonpyes-1.4.1.tar.gz
  • Upload date:
  • Size: 12.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: Python-urllib/3.6

File hashes

Hashes for jsonpyes-1.4.1.tar.gz
Algorithm Hash digest
SHA256 18f5ced8408abf8944dcfc9249591579b3035c846a51df527f66ff07f06dda72
MD5 00c9429295c7da0e51630d1f881d5be5
BLAKE2b-256 297c5640fbedc038eaf69b222ee879cd811cc98f2bfb2a3eed007abfb07645f1

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