We decided that we won't use seprate table for handling pending
objects. We need to remove related code.
https://github.com/storj/storj/issues/6421
Change-Id: I442b0f58da75409f725e08e2cd83d29ed4f91ec6
There are several different object types in a versioned table,
which will determine the exact behaviour.
The object type states are:
* Pending - the object is yet to be committed and is being uploaded.
* Committed - the object has been finished and can be read.
* DeleteMarker - indicates that the object should be treated as not
present when is at the top of the version stack.
There are also versioning states:
* Unversioned - only one unversioned object is allowed per object key.
* Versioned - multiple objects with the same key are allowed.
Change-Id: I65dfa781e8da253a4e5d572b799d53c351196eee
Currently it wasn't quite clear what was a stub version and an actual
version. Use a PendingVersion constant to make this distinction clear.
Also use PendingVersion = NextVersion = 0, that way it's clearer that
the version hasn't been yet determined. DefaultVersion = 1 might imply
that the object will get that version once commited, however that will
entirely depend on whether use-pending-objects is used or versioning is
enabled or not.
Change-Id: I21398141f97035c48c778f23b542266b834c44f1
While deleting bucket we need also to delete pending objects from
pending_objects table.
Part of https://github.com/storj/storj/issues/6048
Change-Id: Icc83eaecf8388704e0b6329c397e8028debcf672
With this change we are removing code responsible to handle deleting
bucket and supporting server side copies created with references. In practice we are restoring delete queries that we had before server side copy implementation (with small exception, see bellow).
From deletion queries we are also removing parts with segment metadata
as result because we are not longer sending explicit delete requests to
storage nodes.
https://github.com/storj/storj/issues/5891
Change-Id: If866d9f3a1b01e9ebd9b49c4740a6425ba06dd43
..instead of using segment_copies and ancestor_stream_id, etc.
This bypasses reference counting entirely, depending on our mark+sweep+
bloomfilter garbage collection strategy to get rid of pieces once they
are no longer part of a segment.
This is only safe to do after we have stopped passing delete requests on
to storage nodes.
Refs: https://github.com/storj/storj/issues/5889
Change-Id: I37bdcffaa752f84fd85045235d6875b3526b5ecc
We decided that we will stop sending explicit delete requests to nodes
and we will cleanup deleted with GC instead.
https://github.com/storj/storj/issues/5888
Change-Id: I65a308cca6fb17e97e3ba85eb3212584c96a32cd
Our DB support in storj/private was updated to enable basic context
support for executing SQL queries. This change requires some small
adjustments as not all parts were working correctly.
storj/private commit with change:
4bc77107b7acfcc2f7ad65796d5dd3d7c64801e4
Change-Id: I64d7ed92788ea0920d12cecd1aa0e414720e9b9c
When deleting a bucket, make sure that object copies in other buckets are
promoted to new ancestor and left in a working state.
Closes https://github.com/storj/storj/issues/4591
Change-Id: I019d916cd6de5ed51dd0dd25f47c35d0ec666af6
This change introduce problems with server side move so
let's revert it for now. Problem was found when latest
version of storj/storj was used in uplink tests.
This reverts commit 1ef06fae99.
Change-Id: I4d4fad5d1ea04ba15ff9d7bd765f7e078e9187c2
We were using mixed types for nonce fields. Protobuf
have storj.Nonce, metabase have []byte. This change
is a refactoring to have everywere its possible only
storj.Nonce.
Change-Id: Id54bd8481f30c721cdaf3df79206d25e7cfdab55
To optimize memory consumption we where consuming
segment data during processing results from delete
query. Turns out that there is a chance that query will be
rolled-back if something will go wrong while reading
results. In such case its possible to delete pices but
object/segment will be still in DB.
This change removed piece deletion from problematic
place. Pieces are still deleted in batches but are not
limited at the moment. To avoid memory issues object
deletion batch was decreased.
Change-Id: Icb3667220f9c25f64b73cf71d0cf3fdc7e5107c5
This change adds a NOT NULL constraint to the created_at column in the segment table.
All occurrences of CreatedAt as a pointer are changed to non pointer version (metabase, segment loop, etc)
Change-Id: I3efd476ebd1edd3327b69c9223d9edc800e1cc52
In case when number of deleted segments in a single
batch was multiplication of opts.DeletePiecesBatchSize it
was possible to finish deletion of objects to early.
Change-Id: I9181d4a3c64053d9df46a11a6e0cd22153c73ee9
It's possible that single object will have a lot of segments and
at the moment we are trying to collect all pieces at once and
send to storage nodes information about deletion. Such
approach my lead to using extensive amount of memory. This
change is handling this problem by calling DeletePieces
function multiple times with only part of pieces to delete for
a single call.
Change-Id: Ie1e66cd9d86d130eb89a61cf6e23f38b8cb8859e
metabase has become a central concept and it's more suitable for it to
be directly nested under satellite rather than being part of metainfo.
metainfo is going to be the "endpoint" logic for handling requests.
Change-Id: I53770d6761ac1e9a1283b5aa68f471b21e784198
