To avoid having to specify each spec by hand (which can miss specs to be
added), the test infrastructure now performs classpath discovery so that
each spec added, is automatically considered.
Relates #40358
(cherry picked from commit d0f60b4425c731509aa8ca765d55f563f866ef90)
* [ML] make source and dest objects in the transform config
* addressing PR comments
* Fixing compilation post merge
* adding comment for Arrays.hashCode
* addressing changes for moving dest to object
* fixing data_frame yml tests
* fixing API test
* Log Warning on Failed Blob Deletes in BlobStoreRepository
* We should not just debug log these spots, they all can and will lead to leaked files when snapshot deletion fails
Right now, the stats API only provides refresh metrics regarding
internal refreshes. This isn't very useful and somewhat misleading for
cluster administrators since the internal refreshes are not indicative
of documents being available for search.
In this PR I added a new metric for collecting external refreshes as
they occur and exposing them through the stats API. Now, calling an
endpoint for stats will yield external refresh metrics as well.
Relates #36712
Previously, `getDate(int columnIdx)/getDate(String columnLabel)` and
were using legacy`java.util.Calendar` instead of the the `java.time.*`
classes to reset to the start of day. This resulted in different results
for certain timestamps and timezones when calling
`getDate(col)` vs`getObject(col, java.sql.Date)`
Now only the methods (that must be implemented due to the JDBC spec)
`getDate(int columnIdx, Calendar cal)/getDate(String columnLabel, Calendar cal)`
are still using the `java.util.Calendar` for those conversion.
The same change was applied to
`getTime(int columnIdx)/getTime(String columnLabel)`
and
`getTimestamp(int columnIdx)/getTimestamp(String columnLabel)`
Fixes: #40289
(cherry picked from commit 44560671f18397e0c58e3647732880fcb73a5034)
In some cases, a request to perform a retention lease action can arrive
on a primary shard before it is active. In this case, the primary shard
would not yet be in primary mode, tripping an assertion in the
replication tracker. Instead, we should not attempt to perform such
actions on an initializing shard. This commit addresses this by not
returning the primary shard in the single shard iterator if the primary
shard is not yet active.
Previously metric aggregations on date fields would return a double
which caused errors when trying to apply scalar functions on top, e.g.:
```
SELECT YEAR(MAX(date)) FROM test
```
Fixes: #40376
(cherry-picked from commit 41d0a038467fbdbbf67fd9bfdf27623451cae63a)
* Refactor RegexMatch to support both LIKE and RLIKE
* Add integration tests for RLIKE
* Polish the rest of tests
(cherry picked from commit 7562d6eeeb77c04794002649fe726f4b3a9a398b)
Upgrade JLine to 3.10.0
Switch to using JLine granular jars instead of the uber-one
Remove Jansi dependency (due to errors in closing streams)
Pin JNA dependency to our own artifact
Fix#40239
(cherry picked from commit 9afa65fa80111f3b68c13373c7b6db13c11dde31)
Extend CAST to support all data types notations (whether SQL or ES
specific)
Fix#40282
(cherry picked from commit eb2ee8a344da946920598839a5db76c8bb9bc3fe)
This change allows class bindings to add as their first argument, the base script
class. The this reference to the base script class will be implicitly passed into a
class binding as the first constructor argument upon initialization when
specified as the first argument in whitelist entry for the class binding. This
allows a class binding access to additional information added to the base script
class such as more information about the current document or current shard.
One extra requirement for this to work is the appropriate script base class
must be whitelisted (should be empty).
Add a checkpoint service for data frame transforms, which allows to ask for a checkpoint of the
source. In future these checkpoints will be stored in the internal index to
- detect upstream changes
- updating the data frame without a full re-run
- allow data frame clients to checkpoint themselves
* Rewrite Round and Truncate functions to have a slightly different
approach to handling the optional parameter in the constructor. Until now
the optional parameter was considered 0 if the value was missing and the
constructor was filling in this value. The current solution is to have
the optional parameter as null right until the actual calculation is done.
(cherry picked from commit 3e314f8fa4cb322e67949e80857561ce51268726)
If there's a failover on the follower, then its max_seq_no_of_updates is
bootstrapped from its max_seq_no which might be higher than the
max_seq_no_of_updates of the leader. We need to relax this check.
Relates #40249
This commit expands the ccr overview page to include more information
about the lifecycle of following an index. It adds information linking
to the remote recovery documentation. And describes how an index can
fall-behind and how to fix it when this happens.
We were accidentally not mapping the index, which meant dynamic mapping
was choosing floats for the values. This led to enough loss of precision
for the aggregated values to differ slightly from the test doubles,
which accumulated into large differences in the holt output.
This test fix adds an explicit mapping.
This refactoring is in the context of the work related to moving security
tokens to a new index. In that regard, the Token Service has to work with
token documents stored in any of the two indices, albeit only as a transient
situation. I reckoned the added complexity as unmanageable,
hence this refactoring.
This is incomplete, as it fails to address the goal of minimizing .security accesses,
but I have stopped because otherwise it would've become a full blown rewrite
(if not already). I will follow-up with more targeted PRs.
In addition to being a true refactoring, some 400 errors moved to 500. Furthermore,
more stringed validation of various return result, has been implemented, notably the
one of the token document creation.
This commit adjusts the frequency with which CCR renews retention leases
and with which primaries sync retention leases to replicas. This helps
Lucene reclaim soft-deleted documents more aggressively, which we have
found in some use-cases can help improve performance, and either way
will help keep disk space under more control.