This test should demonstrate that a single (larger)
request is processed but on of multiple large concurrent requests
is rejected. This test broke too early under some circumstances in
network mode as the limit is quite low.
With this commit we reduce the size of the individual large
requests but issue more concurrent ones thus increasing stability
of this test.
Currently we are able to set a ParseFieldMatcher on XContentParsers,
mainly to conveniently carry it around to be available where the
actual parsing happens. This was just recently introduced together
with ObjectParser so that ObjectParser can make use of deprecation
logging and throwing errors while parsing.
This however is trappy because we create parsers in so many places in
the code and it is easy to forget setting the right ParseFieldMatcher.
Instead we should hold the ParseFieldMatcher only in the parse contexts
(e.g. QueryParseContext).
This PR removes the ParseFieldMatcher from XContentParser. ObjectParser
can still make use of it because we can make the otherwise unbounded
`context` type to extend an interface that makes sure contexts used in
ObjectParser can supply a ParseFieldMatcher. Contexts in ObjectParser
are now no longer optional, but it is sufficient to pass in a small
lambda expression in places where no other context is available.
Relates to #17417
and remove its PROTOTYPE. This is the first aggregation builder that
serializes its targetValueType so ValuesSourceAggregatorBuilder had to
grow support for that.
Relates to #17085
During the bulk action a hierachy of tasks is getting created: bulk->bulk[s] (coord node) -> bulk[s] (primary shard node) -> bulk[s][p] and bulk[s][r]. Due to a bug the first bulk[s] task didn't have bulk's task id is set as a parent id. This commit fixes this bug.
Handling of the current path when parsing a document is very sensitive.
This fixes a subtle bug in array parsing, where the path that was added
by parsing an array would not be cleared. It also adds a hard state
check at the end of parsing to ensure we ended with a clean path.
The doc parser uses a context object to store the state of parsing,
namely the existing mappings, new mappings, and the parsed document.
Currently this uses a threadlocal which is "reset" for each doc parsed.
However, the thread local doesn't actually save anything, since
resetting is constructing new objects. This change removes the thread
local, which also simplifies the mapper service as it now does not need
to be closeable.
This commit really reverts the inadvertent removal of allowing duplicate
calls to Node#start to be a no-op (but was mistakenly restored to
Node#stop in ddfa3a661510f25c2ce431dfd6fb86ac11eb8888).
This makes all numeric fields including `date`, `ip` and `token_count` use
points instead of the inverted index as a lookup structure. This is expected
to perform worse for exact queries, but faster for range queries. It also
requires less storage.
Notes about how the change works:
- Numeric mappers have been split into a legacy version that is essentially
the current mapper, and a new version that uses points, eg.
LegacyDateFieldMapper and DateFieldMapper.
- Since new and old fields have the same names, the decision about which one
to use is made based on the index creation version.
- If you try to force using a legacy field on a new index or a field that uses
points on an old index, you will get an exception.
- IP addresses now support IPv6 via Lucene's InetAddressPoint and store them
in SORTED_SET doc values using the same encoding (fixed length of 16 bytes
and sortable).
- The internal MappedFieldType that is stored by the new mappers does not have
any of the points-related properties set. Instead, it keeps setting the index
options when parsing the `index` property of mappings and does
`if (fieldType.indexOptions() != IndexOptions.NONE) { // add point field }`
when parsing documents.
Known issues that won't fix:
- You can't use numeric fields in significant terms aggregations anymore since
this requires document frequencies, which points do not record.
- Term queries on numeric fields will now return constant scores instead of
giving better scores to the rare values.
Known issues that we could work around (in follow-up PRs, this one is too large
already):
- Range queries on `ip` addresses only work if both the lower and upper bounds
are inclusive (exclusive bounds are not exposed in Lucene). We could either
decide to implement it, or drop range support entirely and tell users to
query subnets using the CIDR notation instead.
- Since IP addresses now use a different representation for doc values,
aggregations will fail when running a terms aggregation on an ip field on a
list of indices that contains both pre-5.0 and 5.0 indices.
- The ip range aggregation does not work on the new ip field. We need to either
implement range aggs for SORTED_SET doc values or drop support for ip ranges
and tell users to use filters instead. #17700Closes#16751Closes#17007Closes#11513
This commit contains the following improvements/fixes:
1. Renaming method names and variables to better reflect the purpose
of the method and the semantics of the variable.
2. For deleting indexes, replace the closed parameter passed to the
delete index/store methods with obtaining the index's state from the
IndexSettings that is already passed in.
3. Added tests to the IndexWithShadowReplicaIT suite, some of which
show issues in the shadow replica delete process that are captured in
Github issue 17695.
Closes#17638
When we pass both XContentParser and QueryParseContext to a method this can be trappy because
we cannot make sure that the parser contained in the context and the parser passed as an argument
are the same.
This removes the parser argument from methods where we currently have both the parser and the parse
context as arguments and instead retrieves the parse from the context inside the method.
Nik Everett
Jim Ferenczi
Danilo Vaz
Daniel Mitterdorfer
Michael McCandless
Adrien Grand
Mike McCandless
Christoph Büscher
Colin Goodheart-Smithe
Ryan Ernst
Jason Tedor
Igor Motov
Ali Beyad