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* conversion stage 1 * correct image paths * add sidebar title to frontmatter * docs/concepts and docs/internals * configuration docs and multi-level nav corrections * commands docs, index file corrections, small item nav correction * secrets converted * auth * add enterprise and agent docs * add extra dividers * secret section, wip * correct sidebar nav title in front matter for apu section, start working on api items * auth and backend, a couple directory structure fixes * remove old docs * intro side nav converted * reset sidebar styles, add hashi-global-styles * basic styling for nav sidebar * folder collapse functionality * patch up border length on last list item * wip restructure for content component * taking middleman hacking to the extreme, but its working * small css fix * add new mega nav * fix a small mistake from the rebase * fix a content resolution issue with middleman * title a couple missing docs pages * update deps, remove temporary markup * community page * footer to layout, community page css adjustments * wip downloads page * deps updated, downloads page ready * fix community page * homepage progress * add components, adjust spacing * docs and api landing pages * a bunch of fixes, add docs and api landing pages * update deps, add deploy scripts * add readme note * update deploy command * overview page, index title * Update doc fields Note this still requires the link fields to be populated -- this is solely related to copy on the description fields * Update api_basic_categories.yml Updated API category descriptions. Like the document descriptions you'll still need to update the link headers to the proper target pages. * Add bottom hero, adjust CSS, responsive friendly * Add mega nav title * homepage adjustments, asset boosts * small fixes * docs page styling fixes * meganav title * some category link corrections * Update API categories page updated to reflect the second level headings for api categories * Update docs_detailed_categories.yml Updated to represent the existing docs structure * Update docs_detailed_categories.yml * docs page data fix, extra operator page remove * api data fix * fix makefile * update deps, add product subnav to docs and api landing pages * Rearrange non-hands-on guides to _docs_ Since there is no place for these on learn.hashicorp, we'll put them under _docs_. * WIP Redirects for guides to docs * content and component updates * font weight hotfix, redirects * fix guides and intro sidenavs * fix some redirects * small style tweaks * Redirects to learn and internally to docs * Remove redirect to `/vault` * Remove `.html` from destination on redirects * fix incorrect index redirect * final touchups * address feedback from michell for makefile and product downloads
122 lines
5 KiB
Markdown
122 lines
5 KiB
Markdown
---
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layout: "docs"
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page_title: "PostgreSQL - Secrets Engines"
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sidebar_title: "PostgreSQL <sup>DEPRECATED</sup>"
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sidebar_current: "docs-secrets-postgresql"
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description: |-
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The PostgreSQL secrets engine for Vault generates database credentials to access PostgreSQL.
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---
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# PostgreSQL Secrets Engine
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Name: `postgresql`
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~> **Deprecation Note:** This secrets engine is deprecated in favor of the
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combined databases secrets engine added in v0.7.1. See the documentation for
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the new implementation of this secrets engine at
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[PostgreSQL database plugin](/docs/secrets/databases/postgresql.html).
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The PostgreSQL secrets engine for Vault generates database credentials
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dynamically based on configured roles. This means that services that need
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to access a database no longer need to hardcode credentials: they can request
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them from Vault, and use Vault's leasing mechanism to more easily roll keys.
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Additionally, it introduces a new ability: with every service accessing
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the database with unique credentials, it makes auditing much easier when
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questionable data access is discovered: you can track it down to the specific
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instance of a service based on the SQL username.
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Vault makes use both of its own internal revocation system as well as the
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`VALID UNTIL` setting when creating PostgreSQL users to ensure that users
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become invalid within a reasonable time of the lease expiring.
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This page will show a quick start for this secrets engine. For detailed documentation
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on every path, use `vault path-help` after mounting the secrets engine.
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## Quick Start
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The first step to using the PostgreSQL secrets engine is to mount it. Unlike the
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`kv` secrets engine, the `postgresql` secrets engine is not mounted by default.
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```text
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$ vault secrets enable postgresql
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Success! Enabled the postgresql secrets engine at: postgresql/
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```
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Next, Vault must be configured to connect to the PostgreSQL. This is done by
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writing either a PostgreSQL URL or PG connection string:
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```text
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$ vault write postgresql/config/connection \
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connection_url="postgresql://root:vaulttest@vaulttest.ciuvljjni7uo.us-west-1.rds.amazonaws.com:5432/postgres"
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```
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In this case, we've configured Vault with the user "root" and password "vaulttest",
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connecting to a PostgreSQL instance in AWS RDS. The "postgres" database name is being used.
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It is important that the Vault user have the `GRANT OPTION` privilege to manage users.
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Optionally, we can configure the lease settings for credentials generated
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by Vault. This is done by writing to the `config/lease` key:
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```
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$ vault write postgresql/config/lease lease=1h lease_max=24h
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Success! Data written to: postgresql/config/lease
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```
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This restricts each credential to being valid or leased for 1 hour
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at a time, with a maximum use period of 24 hours. This forces an
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application to renew their credentials at least hourly, and to recycle
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them once per day.
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The next step is to configure a role. A role is a logical name that maps
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to a policy used to generated those credentials. For example, lets create
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a "readonly" role:
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```text
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$ vault write postgresql/roles/readonly \
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sql="CREATE ROLE \"{{name}}\" WITH LOGIN PASSWORD '{{password}}' VALID UNTIL '{{expiration}}';
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GRANT SELECT ON ALL TABLES IN SCHEMA public TO \"{{name}}\";"
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Success! Data written to: postgresql/roles/readonly
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```
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By writing to the `roles/readonly` path we are defining the `readonly` role.
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This role will be created by evaluating the given `sql` statements. By
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default, the `{{name}}`, `{{password}}` and `{{expiration}}` fields will be populated by
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Vault with dynamically generated values. This SQL statement is creating
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the named user, and then granting it `SELECT` or read-only privileges
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to tables in the database. More complex `GRANT` queries can be used to
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customize the privileges of the role. See the [PostgreSQL manual](http://www.postgresql.org/docs/9.4/static/sql-grant.html)
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for more information.
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To generate a new set of credentials, we simply read from that role:
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Vault is now configured to create and manage credentials for Postgres!
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```text
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$ vault read postgresql/creds/readonly
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Key Value
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--- -----
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lease_id postgresql/creds/readonly/c888a097-b0e2-26a8-b306-fc7c84b98f07
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lease_duration 3600
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password 34205e88-0de1-68b7-6267-72d8e32c5d3d
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username root-1430162075-7887
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```
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By reading from the `creds/readonly` path, Vault has generated a new
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set of credentials using the `readonly` role configuration. Here we
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see the dynamically generated username and password, along with a one
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hour lease.
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Using ACLs, it is possible to restrict using the postgresql secrets engine such
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that trusted operators can manage the role definitions, and both
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users and applications are restricted in the credentials they are
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allowed to read.
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If you get stuck at any time, simply run `vault path-help postgresql` or with a
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subpath for interactive help output.
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## API
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The PostgreSQL secrets engine has a full HTTP API. Please see the
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[PostgreSQL secrets engine API](/api/secret/postgresql/index.html) for more
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details.
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