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 = logicalmax_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
Metadata
Release files for pgsync 1.1.22
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| pgsync-1.1.22.tar.gz | 69.3 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pgsync-1.1.22-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 106.3 kB
Release files / pgsync-1.1.22.tar.gz
| Download URL | pgsync-1.1.22.tar.gz |
|---|---|
| Size | 69.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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No |
| Uploaded via |
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|
Release files / pgsync-1.1.22-py2.py3-none-any.whl
| Download URL | pgsync-1.1.22-py2.py3-none-any.whl |
|---|---|
| Size | 37.0 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
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|
Security for pgsync 1.1.22
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