This generates a synthesized "id" for each incoming request that is
included in the audit logs (file only).
This id can be used to correlate events for the same request (e.g.
authentication success with access granted).
This request.id is specific to the audit logs and is not used for any
other purpose
The request.id is consistent across nodes if a single request requires
execution on multiple nodes (e.g. search acros multiple shards).
When assertions are enabled, a Put User action that have no effect (a
noop update) would trigger an assertion failure and shutdown the node.
This change accepts "noop" as an update result, and adds more
diagnostics to the assertion failure message.
Update PutUserRequest to support password_hash (see: #35242)
This also updates the documentation to bring it in line with our more
recent approach to HLRC docs.
Watcher still exposes some dates as joda DateTime objects. This commit
adds back joda to the painless whitelist so they can still be accessed.
closes#35913
This commit adds back bundling of all deps of the sql jdbc jar. This was
lost in a refactoring of how the shadow plugin is handled for the entire
elasticsearch project.
This removes the option to run a cluster without enforcing the
cluster-wide shard limit, making strict enforcement the default and only
behavior. The limit can still be adjusted as desired using the cluster
settings API.
This commit adds the support for exists query in the sorted execution mode
of the `composite` aggregation. We'll execute the aggregation from the sorted
points and use early termination if the main query is an `exists` query over the
first source of the `composite` aggregation.
Add GREATEST(expr1, expr2, ... exprN) and LEAST(expr1, expr2, exprN)
functions which are in the family of CONDITIONAL functions.
Implementation follows PostgreSQL behaviour, so the functions return
`NULL` when all of their arguments evaluate to `NULL`.
Renamed `CoalescePipe` and `CoalesceProcessor` to `ConditionalPipe` and
`ConditionalProcessor` respectively, to be able to reuse them for
`Greatest` and `Least` evaluations. To achieve that `ConditionalOperation`
has been added to differentiate between the functionalities at execution
time.
Closes: #35878
Due to some unresolvable type conflict between the expected definition
in JDBC vs ODBC, the driver mode is now passed over so that certain
command can change their results accordingly (in this case SYS COLUMNS)
Fix#35376
Today we don't respect the indices options when they are passed
as request parameters to the `_msearch` endpoint. This is unintuitive
and doesn't cause any errors. This changes uses the top-level indices
options as the defaults for each sub search-request.
Closes#35851
This operator handles nulls in different way than the normal `=`.
If one of the operants is `null` and the other not it returns `false`.
If both operants are `null` it returns `true`. Therefore in contrary to
`=`, which returns `null` if at least one of the operants is `null`, this one
never returns `null` as a result.
Closes: #35871
More like this query allows to provide identifiers of documents to be retrieved as like/unlike items.
It can happen that at retrieval time an error is thrown, for instance caused by missing routing value when `_routing` is set required in the mapping.
Instead of ignoring such error and returning no documents for the query, the error should be re-thrown and returned to users. As part of this
change also mget and mtermvectors are unified in the way they throw such exception like it happens in other places, so that a `RoutingMissingException` is raised.
Closes#29678
This commit simplifies the throttling logic in InitialSearchPhase and removes some asserts from it. Also, a few formatting changes are applied to its code and surrounding classes.
A publication can succeed and complete before all nodes have applied the
published state and acknowledged it, thanks to the publication timeout; however
we need every node eventually either to apply the published state (or a later
state) or be removed from the cluster. This change introduces the LagDetector
which achieves this liveness property by removing any lagging nodes from the
cluster.
The `wait_for_metadata_version` parameter will instruct the cluster state
api to only return a cluster state until the metadata's version is equal or
greater than the version specified in `wait_for_metadata_version`. If
the specified `wait_for_timeout` has expired then a timed out response
is returned. (a response with no cluster state and wait for timed out flag set to true)
In the case metadata's version is equal or higher than `wait_for_metadata_version`
then the api will immediately return.
This feature is useful to avoid external components from constantly
polling the cluster state to whether somethings have changed in the
cluster state's metadata.
Code that operates on-top of the engine requires all readers returned to be
unwrapped into ElasticsearchDirectoryReader. The special reader
the FrozenEngine uses wasn't wrapped.
Today voting tombstones are stored in CoordinationMetaData as
Set<DiscoveryNode>.
DiscoveryNode is not a lightweight object and have a lot of fields.
It also has toXContent method, but no fromXContent method and the
output of toXContent is not enough to re-create DiscoveryNode
object.
And votingTombstone set should be persisted as a part of MetaData.
On the other hand, the only thing required from the tombstone is the
nodeId.
This PR adds VotingTombstone class for voting tombstones, which
consists of two fields for now - nodeId and nodeName. It could be
extended/shrank in the future if needed.
This PR also resolves TODO's related to the voting tombstones xcontent
story.
Example of CoordinationMetaData.toXContent with voting tombstones:
{
"term": 1,
"last_committed_config": [
"fkwLdOBvXSlgRTBfgNAL",
"tmQiPGHvUxXzPkkCDSJo",
"HhOmtQBZAThpHIGWhxpz",
"qZHWGpoDNPYRNIiqKsDl"
],
"last_accepted_config": [
"lhqacKmriwhHGFZcvqbx",
"MYysmBuROkvJRlDcusyd"
],
"voting_tombstones": [
{
"node_id": "McjbZbRkEz",
"node_name": "pdKIWeNJUO"
},
{
"node_id": "cpXkVibGwo",
"node_name": "UnCvFgdVsc"
},
{
"node_id": "EylRNOztbc",
"node_name": "ohOhkbMWZX"
}
]
}
Today when rolling a transog generation we copy the checkpoint from
`translog.ckp` to `translog-nnnn.ckp` using a simple `Files.copy()` followed by
appropriate `fsync()` calls. The copy operation is not atomic, so if we crash
at the wrong moment we can leave an incomplete checkpoint file on disk. In
practice the checkpoint is so small that it's either empty or fully written.
However, we do not correctly handle the case where it's empty when the node
restarts.
In contrast, in `recoverFromFiles()` we _do_ copy the checkpoint atomically.
This commit extracts the atomic copy operation from `recoverFromFiles()` and
re-uses it in `rollGeneration()`.