Skip to main content

Postgres to elasticsearch sync

Project description

PostgreSQL to Elasticsearch sync

PGSync <https://pgsync.com>_ is a middleware for syncing data from Postgres <https://www.postgresql.org>_ to Elasticsearch <https://www.elastic.co/products/elastic-stack>.
It allows you to keep Postgres <https://www.postgresql.org>
as your source of truth data source and expose structured denormalized documents in Elasticsearch <https://www.elastic.co/products/elastic-stack>_.

Requirements

  • Python <https://www.python.org>_ 3.6+
  • Postgres <https://www.postgresql.org>_ 9.4+
  • Redis <https://redis.io>_
  • Elasticsearch <https://www.elastic.co/products/elastic-stack>_ 6.3.1+

Postgres setup

Enable logical decoding <https://www.postgresql.org/docs/current/logicaldecoding.html>_ in your Postgres setting.

  • you would also need to set up two parameters in your Postgres config postgresql.conf

    wal_level = logical

    max_replication_slots = 1

Installation

You can install PGSync from PyPI <https://pypi.org>_:

$ pip install pgsync

Config

Create a schema for the application named e.g schema.json

Example schema <https://github.com/toluaina/pgsync/blob/master/examples/airbnb/schema.json>_

Example spec

.. code-block::

[
    {
        "database": "[database name]",
        "index": "[elasticsearch index]",
        "nodes": [
            {
                "table": "[table A]",
                "schema": "[table A schema]",
                "columns": [
                    "column 1 from table A",
                    "column 2 from table A",
                    ... additional columns
                ],
                "children": [
                    {
                        "table": "[table B with relationship to table A]",
                        "schema": "[table B schema]",
                        "columns": [
                          "column 1 from table B",
                          "column 2 from table B",
                          ... additional columns
                        ],
                        "relationship": {
                            "variant": "object",
                            "type": "one_to_many"
                        },
                        ...
                    },
                    {
                        ... any other additional children
                    }
                ]
            }
        ]
    }
]

Environment variables

Setup required environment variables for the application

SCHEMA='/path/to/schema.json'

ELASTICSEARCH_HOST=localhost
ELASTICSEARCH_PORT=9200

PG_HOST=localhost
PG_USER=i-am-root # this must be a postgres superuser
PG_PORT=5432
PG_PASSWORD=*****

REDIS_HOST=redis
REDIS_PORT=6379
REDIS_DB=0
REDIS_AUTH=*****

Running

bootstrap the database (one time only) $ bootstrap --config schema.json run pgsync as a daemon $ pgsync --config schema.json --daemon

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

pgsync-1.1.16.tar.gz (42.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pgsync-1.1.16-py2.py3-none-any.whl (6.8 kB view details)

Uploaded Python 2Python 3

File details

Details for the file pgsync-1.1.16.tar.gz.

File metadata

  • Download URL: pgsync-1.1.16.tar.gz
  • Upload date:
  • Size: 42.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.24.0 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.9.0

File hashes

Hashes for pgsync-1.1.16.tar.gz
Algorithm Hash digest
SHA256 7594b10cff8fe9fedfcf42dd5961400cc1559762b24135694d26ed8bbeddfbc6
MD5 058c0491acb2f1f86acd08078034407c
BLAKE2b-256 67075fcf70edce898bdc27c801e55d6e0dd09c200a2e0f81f527ff86dcec603f

See more details on using hashes here.

File details

Details for the file pgsync-1.1.16-py2.py3-none-any.whl.

File metadata

  • Download URL: pgsync-1.1.16-py2.py3-none-any.whl
  • Upload date:
  • Size: 6.8 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.24.0 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.9.0

File hashes

Hashes for pgsync-1.1.16-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 def9a660ff7b96e533172bdd59b1b34fe5476ffdf8a03993a762694dc6c00419
MD5 ad72f25b85c1add48a17e752c83e9859
BLAKE2b-256 95f476504745d779e5f08d9c09d8b21adb9e28b5c80e62976baebd1fe45a8366

See more details on using hashes here.

Supported by

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