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>_ 9.6+
  • 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]",
        "node": {
            "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-2.0.0.tar.gz (83.2 kB view details)

Uploaded Source

Built Distribution

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

pgsync-2.0.0-py2.py3-none-any.whl (43.6 kB view details)

Uploaded Python 2Python 3

File details

Details for the file pgsync-2.0.0.tar.gz.

File metadata

  • Download URL: pgsync-2.0.0.tar.gz
  • Upload date:
  • Size: 83.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for pgsync-2.0.0.tar.gz
Algorithm Hash digest
SHA256 ef00ba9710d756431325f26c33a9f2a166e61ac9c62572467fa448eff1adb8f9
MD5 215dd7b9f82d6cb0e7be1fa47376e7d2
BLAKE2b-256 ae909b0b336b42677e59da835068edf6ec4a2aef3298d191e3555f042f3b269c

See more details on using hashes here.

File details

Details for the file pgsync-2.0.0-py2.py3-none-any.whl.

File metadata

  • Download URL: pgsync-2.0.0-py2.py3-none-any.whl
  • Upload date:
  • Size: 43.6 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for pgsync-2.0.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 fa78ea017fa9ccbac526b96f78c884bf69a609f69c05c6b139cd4f390b50908c
MD5 59eae75e5c08eabcd0962e73a179856e
BLAKE2b-256 7bded26dfa405fe8cc34f339e3dff6344168bef5d7f7e4bec7936a15e3e14cf5

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