This commit clarifies that the preferred method for setting the heap
size is via jvm.options.d and that using the ES_JAVA_OPTS environment
variable is discouraged for production deployments.
Now that we're consistently using `cat_match` to filter which shards we
run on we can get this confusing case:
1. You have a search with, say, a range and a sub-agg.
2. That search has a query that `can_match` can recognize will match no
docs. On *any* shard.
3. So we dutifully run it on a single shard so it can produce the
"empty" aggs.
4. The shard we pick happens to not have the target of the range mapped.
5. This kicks in the special range aggregator that doesn't collect any
documents.
6. Before this commit, that range aggregator *also* never produced any
sub-aggs.
So, without this change, it was quite possible for a search that
happened to match no documents to "throw away" the sub-aggs of a range
and a few other aggs.
We've had this problem for a long, long time but it is more confusing
now because `can_match` is really kicking in and causing us to see cases
where it looks like you are targeting a lot of shards but you really are
only targeting a couple. It used to be that to get the "no sub-aggs"
behavior you had to explicitly target only shards that didn't map the
target field of the `range` agg. And, like, in that case it isn't too
bad because you targeted a sort of degenerate shard. But now that
`can_match` is doing its thing you can end up with the confusing steps
above. It took me several hours to track down what what happening I know
how the individual pieces of all of this works. It took four hours to
figure out how they fit together in this case....
Anyway! This replaces all the aggregator implementations that throw out
the sub-aggregators with ones that keep them. I think this'll be less
confusing in the future.
Closes#64142
This commit adds logging to indicate whether or not we are using the
bundled JDK. We distinguish between using a distribution that bundles
the JDK versus using a distribution that does not bundle the JDK.
In 7.x we can't just by default generate this setting as it might not be
supported by data nodes that are assigned shards for an older version in mixed version
clusters.
Closes#64152
The new fields option allows to fetch the value of all fields in the mapping.
However, internal fields that are used by some field mappers are also shown when
concrete fields retrieved through a pattern (`*` or `foo*`).
We have a [long term plan](https://github.com/elastic/elasticsearch/issues/63446) to hide these fields in field_caps and from pattern resolution
so this change is just a hot fix to ensure that they don't break the retrieval in the meantime.
The `flattened._keyed field will show up as an empty field when using a pattern that match the
flattened field.
Relates #63446
This commit fixes an issue with the detection on macOS for whether or
not the bundled JDK is being used. The logic between macOS and non-macOS
is different because the JDK has a different directory structure on
macOS versus non-macOS. However, due to notarization issues, we changed
the top-level directory from jdk to jdk.app, yet never updated this
detection logic to account for that.
Ideally, we would have a packaging test that asserts that we have the
behavior here correct, and it maintains over time. Alas, we do not
currently have packaging tests on macOS.
This commit adjusts the defaults for the tiered data roles so that they
are enabled by default, or if the node has the legacy data role. This
ensures that the default experience is that the tiered data roles are
enabled.
To fully specifiy the behavior for the tiered data roles then:
- starting a new node with the defaults: enabled
- starting a new node with node.roles configured: enabled if and only
if the tiered data roles are explicitly configured, independently
of the node having the data role
- starting a new node with node.data enabled: enabled unless the
tiered data roles are explicitly disabled
- starting a new node with node.data disabled: disabled unless the
tiered data roles are explicitly enabled
XPack usage starts out on management threads, but depending on the
implementation of the usage plugin, they could end up running on
transport threads instead. Fixed to always reschedule on a management
thread.
With this change, we will always return the same point in time in a
search response as its input until we implement the retry mechanism
for the point in times.
The formatting of the global bottom value does not take the resolution of the provided
numeric_type into account. This change fixes this bug by providing the resolution
directly in the doc value format if the numeric_type is provided as `date_nanos`.
Closes#63719
We must not remove the snapshot from the initializing set
in the `timeout` getter. This was a plain oversight/mistake
and went unnoticed. It can lead to the removal of a valid
snapshot clone from the cluster state in rare circumstances
(e.g. when a node concurrently joins the cluster or a routing
change happens as it did in the linked test failure).
Closes#64115
The `NodeNotConnectedException` exception can be nested as well in the
fairly unlikley case of the disconnect occuring between the connected check
and actually sending the request in the transport service.
Closes#63233
There is a small chance that the file deletion will run
on the searchable snapshot thread pool and not on the test
thread now that the cache is non-blocking in which case
we fail the assertion unless we wait for that thread.
Adds support for the unsigned_long type to data frame analytics.
This type is handled in the same way as the long type. Values
sent to the ML native processes are converted to floats and
hence will lose accuracy when outside the range where a float
can uniquely represent long values.
Backport of #64066
If we run into a background merge between creating the snapshot and closing the index
then with compound files we could be in a situation where we get zero file reuse
on restore.
Force merging before the snapshot gives us a single segment that won't change down the line
so the restore always sees file reuse from the close index.
Closes#63476
Replacing the mechanism for eviction and listener references via a read-write lock by
a reference counting implementation.
This fixes a bug that caused test failure #63586 in which concurrently trying to acquire or release
an eviction listener while doing a file operation would sometimes lead to throwing an exception
since the `tryLock` call on the read lock would fail in this case.
Also this removes the possibility of blocking cluster state updates as a result of them waiting
on the write-lock which might take a long time if a slow read operation executes concurrently.
Closes#63586
Assuming the clone failed when the request failed is not sufficient.
There are failure modes where the request fails but the clone still works out
because the data node resent the requeest after the first clone had already been
failed and removed from the cluster state when master was restarted.
Closes#63473
The setting name is script.context.$CONTEXT.cache_max_size rather than
script.context.$CONTEXT.context_max_size.
Co-authored-by: Andrew Kroh <andrew.kroh@elastic.co>
James Rodewig
Jason Tedor
Armin Braun
Nik Everett
jimczi
Jake Landis
Costin Leau
Adam Locke
Henning Andersen
Nhat Nguyen
David Roberts
Andrei Dan
David Kyle
debadair
Marios Trivyzas
Przemyslaw Gomulka