its own helper method to determine alias / policy base name.
This way both the enrich processor and policy runner use the same logic
to determine the alias to use.
Relates to #32789
Backports #41088
Adds the foundation of the execution logic to execute an enrich policy. Validates
the source index existence as well as mappings, creates a new enrich index for
the policy, reindexes the source index into the new enrich index, and swaps the
enrich alias for the policy to the new index.
Today a bulk shard request appears as follows in the detailed task list:
requests[42], index[my_index]
This change adds the shard index and refresh policy too:
requests[42], index[my_index][2], refresh[IMMEDIATE]
This is modelled on the qa test for TLS on basic.
It starts a cluster on basic with security & performs a number of
security related checks.
It also performs those same checks on a trial license.
This adds support for using security on a basic license.
It includes:
- AllowedRealmType.NATIVE realms (reserved, native, file)
- Roles / RBAC
- TLS (already supported)
It does not support:
- Audit
- IP filters
- Token Service & API Keys
- Advanced realms (AD, LDAP, SAML, etc)
- Advanced roles (DLS, FLS)
- Pluggable security
As with trial licences, security is disabled by default.
This commit does not include any new automated tests, but existing tests have been updated.
If closing a shard while resetting engine,
IndexEventListener.afterIndexShardClosed would be called while there is
still an active IndexWriter on the shard. For integration tests, this
leads to an exception during check index called from MockFSIndexStore
.Listener. Fixed.
Relates to #38561
This commit introduces the `.security-tokens` and `.security-tokens-7`
alias-index pair. Because index snapshotting is at the index level granularity
(ie you cannot snapshot a subset of an index) snapshoting .`security` had
the undesirable effect of storing ephemeral security tokens. The changes
herein address this issue by moving tokens "seamlessly" (without user
intervention) to another index, so that a "Security Backup" (ie snapshot of
`.security`) would not be bloated by ephemeral data.
Today we allow adding entries from a file or from a string, yet we
internally maintain this distinction such that if you try to add a value
from a file for a setting that expects a string or add a value from a
string for a setting that expects a file, you will have a bad time. This
causes a pain for operators such that for each setting they need to know
this difference. Yet, we do not need to maintain this distinction
internally as they are bytes after all. This commit removes that
distinction and includes logic to upgrade legacy keystores.
This commit removes the usage of the `BulkProcessor` to write history documents
and delete triggered watches on a `EsRejectedExecutionException`. Since the
exception could be handled on the write thread, the write thread can be blocked
waiting on watcher threads (due to a synchronous method). This is problematic
since those watcher threads can be blocked waiting on write threads.
This commit also moves the handling of the exception to the generic threadpool
to avoid submitting write requests from the write thread pool.
fixes#41390
Today we choose to initialize max_seq_no_of_updates on primaries only so
we can deal with a situation where a primary is on an old node (before
6.5) which does not have MUS while replicas on new nodes (6.5+).
However, this strategy is quite complex and can lead to bugs (for
example #40249) since we have to assign a correct value (not too low) to
MSU in all possible situations (before recovering from translog,
restoring history on promotion, and handing off relocation).
Fortunately, we don't have to deal with this BWC in 7.0+ since all nodes
in the cluster should have MSU. This change simplifies the
initialization of MSU by always assigning it a correct value in the
constructor of Engine regardless of whether it's a replica or primary.
Relates #33842
The enrich processor performs a lookup in a locally allocated
enrich index shard using a field value from the document being enriched.
If there is a match then the _source of the enrich document is fetched.
The document being enriched then gets the decorate values from the
enrich document based on the configured decorate fields in the pipeline.
Note that the usage of the _source field is temporary until the enrich
source field that is part of #41521 is merged into the enrich branch.
Using the _source field involves significant decompression which not
desired for enrich use cases.
The policy contains the information what field in the enrich index
to query and what fields are available to decorate a document being
enriched with.
The enrich processor has the following configuration options:
* `policy_name` - the name of the policy this processor should use
* `enrich_key` - the field in the document being enriched that holds to lookup value
* `ignore_missing` - Whether to allow the key field to be missing
* `enrich_values` - a list of fields to decorate the document being enriched with.
Each entry holds a source field and a target field.
The source field indicates what decorate field to use that is available in the policy.
The target field controls the field name to use in the document being enriched.
The source and target fields can be the same.
Example pipeline config:
```
{
"processors": [
{
"policy_name": "my_policy",
"enrich_key": "host_name",
"enrich_values": [
{
"source": "globalRank",
"target": "global_rank"
}
]
}
]
}
```
In the above example documents are being enriched with a global rank value.
For each document that has match in the enrich index based on its host_name field,
the document gets an global rank field value, which is fetched from the `globalRank`
field in the enrich index and saved as `global_rank` in the document being enriched.
This is PR is part one of #41521
* Implement Bulk Deletes for GCS Repository (#41368)
* Just like #40322 for AWS
* We already had a bulk delete API but weren't using it from the blob container implementation, now we are using it
* Made the bulk delete API also compliant with our interface that only suppresses errors about non existent blobs by stating failed deletes (I didn't use any bulk stat action here since having to stat here should be the exception anyway and it would make error handling a lot more complex)
* Fixed bulk delete API to limit its batch size to 100 in line with GCS recommendations
back port of #41368
This is related to #27260. Currently for the SSLDriver we allocate a
dedicated network write buffer and encrypt the data into that buffer one
buffer at a time. This requires constantly switching between encrypting
and flushing. This commit adds a dedicated outbound buffer for SSL
operations that will internally allocate new packet sized buffers as
they are need (for writing encrypted data). This allows us to totally
encrypt an operation before writing it to the network. Eventually it can
be hooked up to buffer recycling.
This commit also backports the following commit:
Handle WRAP ops during SSL read
It is possible that a WRAP operation can occur while decrypting
handshake data in TLS 1.3. The SSLDriver does not currently handle this
well as it does not have access to the outbound buffer during read call.
This commit moves the buffer into the Driver to fix this issue. Data
wrapped during a read call will be queued for writing after the read
call is complete.
IntervalsSources can throw IllegalArgumentExceptions if they would produce
too many disjunctions. To mitigate against this when building random
sources, we limit the depth of the randomly generated source to four
nested sources
Fixes#41402
Martijn van Groningen
James Baiera
Michael Basnight
David Turner
Toby McLaughlin
jaymode
Andy Bristol
Jason Tedor
James Rodewig
Jay Modi
lcawl
Ioannis Kakavas
Tim Vernum
Henning Andersen
Albert Zaharovits
Benjamin Trent
Jake Landis
Tom Veasey
Nhat Nguyen
Armin Braun
David Kyle
Tim Brooks
Igor Motov
Alan Woodward
Dan Hermann