Today the default stabilisation time is calculated on the assumption that the
elected master has no pending tasks to process when it is elected, but this is
not a safe assumption to make. This can result in a cluster reaching the end of
its stabilisation time without having stabilised. Furthermore in #36943 we
increased the probability that each step in `runRandomly()` enqueues another
task, vastly increasing the chance that we hit such a situation.
This change extends the stabilisation process to allow time for all pending
tasks, plus a task that might currently be in flight.
Fixes#41967, in which the master entered the stabilisation phase with over 800
tasks to process.
By default, we track total hits up to 10k but we might index more than
10k documents `testPrimaryRelocationWhileIndexing`. With this change, we
always request for the accurate total hits in the test.
> java.lang.AssertionError: Count is 10000+ hits but 11684 was expected.
Both of these classes are basically a bloated wrapper around a simple
construct that can simply be a DirectoryFactory interface. This change
removes both classes and replaces them with a simple stateless interface
that creates a new `Directory` per shard. The concept of `index.store` is preserved
since it makes sense from a configuration perspective.
This change contains a major refactoring of the timestamp
format determination code used by the ML find file structure
endpoint.
Previously timestamp format determination was done separately
for each piece of text supplied to the timestamp format finder.
This had the drawback that it was not possible to distinguish
dd/MM and MM/dd in the case where both numbers were 12 or less.
In order to do this sensibly it is best to look across all the
available timestamps and see if one of the numbers is greater
than 12 in any of them. This necessitates making the timestamp
format finder an instantiable class that can accumulate evidence
over time.
Another problem with the previous approach was that it was only
possible to override the timestamp format to one of a limited
set of timestamp formats. There was no way out if a file to be
analysed had a timestamp that was sane yet not in the supported
set. This is now changed to allow any timestamp format that can
be parsed by a combination of these Java date/time formats:
yy, yyyy, M, MM, MMM, MMMM, d, dd, EEE, EEEE, H, HH, h, mm, ss,
a, XX, XXX, zzz
Additionally S letter groups (fractional seconds) are supported
providing they occur after ss and separated from the ss by a dot,
comma or colon. Spacing and punctuation is also permitted with
the exception of the question mark, newline and carriage return
characters, together with literal text enclosed in single quotes.
The full list of changes/improvements in this refactor is:
- Make TimestampFormatFinder an instantiable class
- Overrides must be specified in Java date/time format - Joda
format is no longer accepted
- Joda timestamp formats in outputs are now derived from the
determined or overridden Java timestamp formats, not stored
separately
- Functionality for determining the "best" timestamp format in
a set of lines has been moved from TextLogFileStructureFinder
to TimestampFormatFinder, taking advantage of the fact that
TimestampFormatFinder is now an instantiable class with state
- The functionality to quickly rule out some possible Grok
patterns when looking for timestamp formats has been changed
from using simple regular expressions to the much faster
approach of using the Shift-And method of sub-string search,
but using an "alphabet" consisting of just 1 (representing any
digit) and 0 (representing non-digits)
- Timestamp format overrides are now much more flexible
- Timestamp format overrides that do not correspond to a built-in
Grok pattern are mapped to a %{CUSTOM_TIMESTAMP} Grok pattern
whose definition is included within the date processor in the
ingest pipeline
- Grok patterns that correspond to multiple Java date/time
patterns are now handled better - the Grok pattern is accepted
as matching broadly, and the required set of Java date/time
patterns is built up considering all observed samples
- As a result of the more flexible acceptance of Grok patterns,
when looking for the "best" timestamp in a set of lines
timestamps are considered different if they are preceded by
a different sequence of punctuation characters (to prevent
timestamps far into some lines being considered similar to
timestamps near the beginning of other lines)
- Out-of-the-box Grok patterns that are considered now include
%{DATE} and %{DATESTAMP}, which have indeterminate day/month
ordering
- The order of day/month in formats with indeterminate day/month
order is determined by considering all observed samples (plus
the server locale if the observed samples still do not suggest
an ordering)
Relates #38086Closes#35137Closes#35132
Today the `TransportClusterStateAction` ignores the state passed by the
`TransportMasterNodeAction` and obtains its state from the cluster applier.
This might be inconsistent, showing a different node as the master or maybe
even having no master.
This change adjusts the action to use the passed-in state directly, and adds
tests showing that the state returned is consistent with our expectations even
if there is a concurrent master failover.
Fixes#38331
Relates #38432
Today `RetentionLeaseIT` calls `fail(e.toString())` on some exceptions, losing
the stack trace that came with the exception. This commit adjusts this to
re-throw the exception wrapped in an `AssertionError` so we can see more
details about failures such as #41430.
This commit adds a log message containing the routing table, emitted on each
iteration of the failing assertBusy() in #40174. It also modernizes the code a
bit.
As part of #30241 realm settings were changed to be true affix
settings. In the process of this change, the "ssl." prefix was lost
from the realm truststore password. It should be:
xpack.security.authc.realms.<type>.<name>.ssl.truststore.password
Due to a mismatch between the way we define SSL settings and load SSL
contexts, there was no way to define this legacy password setting in a
realm config.
The settings validation would reject "ssl.truststore.password" but the
SSL service would ignore "truststore.password"
Backport of: #42336
This commit makes creators of GetField split the fields into document fields and metadata fields. It is part of larger refactoring that aims to remove the calls to static methods of MapperService related to metadata fields, as discussed in #24422.
This change moves the construction of the result
HashMap in Grok.captures() into the branch that
actually needs it.
This probably will not make a measurable difference
for ingest pipelines, but it is beneficial to the
ML find_file_structure endpoint, as it tries out
many Grok patterns that will fail to match.
`org.elasticsearch.action.bulk.BulkProcessor` is a threadsafe class that
allows for simple semantics to deal with sending bulk requests. Once a
bulk reaches it's pre-defined size, documents, or flush interval it will
execute sending the bulk. One configurable option is the number of concurrent
outstanding bulk requests. That concurrency is implemented in
`org.elasticsearch.action.bulk.BulkRequestHandler` via a semaphore. However,
the only code that currently calls into this code is blocked by `synchronized`
methods. This results in the in-ability for the BulkProcessor to behave concurrently
despite supporting configurable amounts of concurrent requests.
This change removes the `synchronized` method in favor an explicit
lock around the non-thread safe parts of the method. The call into
`org.elasticsearch.action.bulk.BulkRequestHandler` is no longer blocking, which
allows `org.elasticsearch.action.bulk.BulkRequestHandler` to handle it's own concurrency.
Allow querying of FROZEN indices both through dedicated SQL grammar
extension:
> SELECT field FROM FROZEN index
and also through driver configuration parameter, namely:
> index.include.frozen: true/false
Fix#39390Fix#39377
(cherry picked from commit 2445a933915f420c7f51e8505afa0a7978ce6b0f)
Lucene 8 has the ability to skip blocks of non-competitive documents.
However some queries don't track their maximum score (`script_score`, `span`, ...)
so they always return Float.POSITIVE_INFINITY as maximum score. This can slow down
some boolean queries if other clauses have bounded max scores. This commit disables
the max score optimization when we detect a mandatory scoring clause with unbounded
max scores. Optional clauses are not checked since they can still skip documents
when the unbounded clause is after the current document.
Currently AnalysisRegistry#processNormalizerFactory creates a normalizer and
only later checks whether it should be added to the normalizer map passed in. In
case we throw an exception it isn't closed. This can be prevented by moving the
check that throws the exception earlier.
When asserting on the checkpoint value if the DF has completed the checkpoint will be 1 else 0.
Similarly state may be started or indexing. Closes#42309
Allow for SimpleQueryString, QueryString and MultiMatchQuery
to set the `fields` parameter to the wildcard `*`. If so, set
the leniency to `true`, to achieve the same behaviour as from the
`"default_field" : "*" setting.
Furthermore, check if `*` is in the list of the `default_field` but
not necessarily as the 1st element.
Closes: #39577
(cherry picked from commit e75ff0c748e6b68232c2b08e19ac4a4934918264)
AbstractDisruptionTestCase set a lower global checkpoint sync interval setting, but this was ignored by
testAckedIndexing, which has led to spurious test failures
Relates #41068, #38931
ShardId already implements Writeable so there is no need for it to implement Streamable too. Also the readShardId static method can be
easily replaced with direct usages of the constructor that takes a
StreamInput as argument.
In case a search request holds only the suggest section, the query phase
is skipped and only the suggest phase is executed instead. There will
never be hits returned, and in case the explain flag is set to true, the
explain sub phase throws a null pointer exception as the query is null.
Usually a null query is replaced with a match all query as part of SearchContext#preProcess which is though skipped as well with suggest
only searches. To address this, we skip the explain sub fetch phase
for search requests that only requested suggestions.
Closes#31260
As a follow-up to #38540 we can use lambda functions and method
references where convenient in the low-level REST client.
Also, we need to update the docs to state that the minimum java version
required is 1.8.
Removing of payload in BulkRequest (#39843) had a side effect of making
`BulkRequest.add(DocWriteRequest<?>...)` (with varargs) recursive, thus
leading to StackOverflowError. This PR adds a small change in
RequestConvertersTests to show the error and the corresponding fix in
`BulkRequest`.
Fixes#41668