Arvados

h1. Keep server

This page describes the Keep backing store server component, keepd.

{{toc}}

See also:

* [[Keep]] (overview, design goals, client/server responsibilities, intro to content addressing)

* [[Keep manifest format]]

* [[Keep index]]

* source:services/keep (implementation: in progress)

h2. Todo

* Implement server daemon (*in progress*)

* Implement integration test suite (*in progress*)

* Spec public/private key format and deployment mechanism

* Spec permission signature format

* Spec event-reporting API

* Spec quota mechanism

h2. Responsibilities

* Read and write blobs on disk

* Remember when each blob was last written[1]

* Enforce maximum blob size

* Enforce key=hash(value) during read and write

* Enforce permissions when reading data (according to permissions on Collections in the metadata DB)

* Enforce usage quota when writing data

* Delete blobs (only when requested by data manager!)

* Report read/write/exception events

* Report used & free space

* Report hardware status (SMART)

* Report list of blobs on disk (hash, size, time last stored)

fn1. This helps with garbage collection. Re-writing an already-stored blob should push it to the back of the garbage collection queue. Ordering garbage collection this way provides a fair and more or less predictable interval between write (from the client's perspective) and earliest potential deletion.

h2. Other parties

* Client distributes data across the available Keep servers (using the content hash)

* Client attains initial replication level when writing blobs (by writing to multiple Keep servers)

* Data manager decides which blobs to delete (e.g., garbage collection, rebalancing)

h2. Discovering Keep server URIs

* @GET https://endpoint/arvados/v1/keep_disks@

* see http://doc.arvados.org/api/schema/KeepDisk.html

* Currently "list of Keep servers" is "list of unique {host,port} across all Keep disks". (Could surely be improved.)

h2. Supported methods

For storage clients

* GET /hash

* GET /hash?checksum=true → verify checksum before sending

* PUT /hash (body=content) → hash

* HEAD /hash → does it exist here?

* HEAD /hash?checksum=true → read the data and verify checksum

For system (monitoring, indexing, garbage collection)

* DELETE /hash → delete all copies of this blob (requires privileged token!)

* GET /index.txt → get full list of blocks stored here, including size and unix timestamp of most recent PUT (requires privileged token)

* GET /state.json → get list of backing filesystems, disk fullness, IO counters, perhaps recent IO statistics (requires privileged token)

Example index.txt:

<pre>

37b51d194a7513e45b56f6524f2d51f2+3 1396976219

acbd18db4cc2f85cedef654fccc4a4d8+3 1396976187

</pre>

Example status.json:

<pre><code class="javascript">

{

 "volumes":[

  {"mount_point":"/data/disk0","bytes_free":4882337792,"bytes_used":5149708288},

  {"mount_point":"/data/disk1","bytes_free":39614472192,"bytes_used":3314229248}

 ]

}

</code></pre>

h2. Authentication

* Client provides API token in Authorization header

* Config knob to ignore authentication & permissions (for fully-shared site, and help transition from Keep1)

h2. Permission

A signature token, unique to a {blob_hash, arvados_api_token, expiry_time}, establishes permission to read a block.

The controller and each Keep server has a private key.

Writing:

* If the given hash and content agree, whether or not a disk write is required, Keep server creates a +Asignature@expirytime portion to the returned blob locator.

* The API server @collections.create@ method verifies signatures before giving the current user can_read permission on the collection.

* A suitably intelligent client can notice that the expirytimes on its blob hashes are getting old, and refresh them by generating a partial manifest, calling @collections.create@ followed by @collections.get@, and optionally deleting the partial manifest(s) when the full manifest is written. If extra partial manifests are left around, garbage collection will take care of them eventually; the only odd side effect is the existence of partial manifests. *(Should there be a separate "refresh all of these tokens for me" API call to avoid creating these intermediate manifests?)*

Reading:

* The API server @collections.get@ method returns two manifests. One has plain hashes (this is the one whose content hash is the collection UUID). The other has a @+Asignature@expirytime@ portion on each blob locator.

* Keep server verifies signatures before honoring @GET@ requests.

* The signature might come from either the Keep node itself, a different Keep node, or the API server.

* A suitably intelligent client can notice that the expirytime on its blob hashes is too old, and request a fresh set via @collections.get@.