Merge branch 'pulls/docs-known-issue' into 2

# Conflicts:
 #	README.md
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Robbie Averill 2019-11-27 17:33:06 -08:00
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[![Build Status](https://travis-ci.org/silverstripe/silverstripe-postgresql.png?branch=master)](https://travis-ci.org/silverstripe/silverstripe-postgresql) [![Build Status](https://travis-ci.org/silverstripe/silverstripe-postgresql.png?branch=master)](https://travis-ci.org/silverstripe/silverstripe-postgresql)
[![SilverStripe supported module](https://img.shields.io/badge/silverstripe-supported-0071C4.svg)](https://www.silverstripe.org/software/addons/silverstripe-commercially-supported-module-list/) [![SilverStripe supported module](https://img.shields.io/badge/silverstripe-supported-0071C4.svg)](https://www.silverstripe.org/software/addons/silverstripe-commercially-supported-module-list/)
## Maintainer Contact
* Sam Minnee (Nickname: sminnee) <sam@silverstripe.com>
## Requirements ## Requirements
* SilverStripe 4.0 * SilverStripe 4.0
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All column and table names must be double-quoted. PostgreSQL automatically All column and table names must be double-quoted. PostgreSQL automatically
lower-cases columns, and your queries will fail if you don't. lower-cases columns, and your queries will fail if you don't.
Collations have known issues when installed on Alpine, MacOS X and BSD derivatives
(see [PostgreSQL FAQ](https://wiki.postgresql.org/wiki/FAQ#Why_do_my_strings_sort_incorrectly.3F)).
We do not support such installations, although they still may work correctly for you.
As a workaround for PostgreSQL 10+ you could manually switch to ICU collations (e.g. und-x-icu).
There are no known workarounds for PostgreSQL <10.
Ts_vector columns are not automatically detected by the built-in search Ts_vector columns are not automatically detected by the built-in search
filters. That means if you're doing a search through the CMS on a ModelAdmin filters. That means if you're doing a search through the CMS on a ModelAdmin
object, it will use LIKE queries which are very slow. If you're writing your object, it will use LIKE queries which are very slow. If you're writing your