This commit rewords the expect header bug notice to provide the precise
details for the bug arising. In particular, the bug does not impact any
request over 1024 bytes, but instead impacts any request with a body
that is sent in two requests, the first with an Expect: 100-continue
header. The size is irrelevant, and requests with bodies larger than
1024 bytes are okay as long as the Expect: 100-continue header is not
also sent.
Relates #19911
This uses the same backoff policy we use for bulk and just retries until
the request isn't rejected.
Instead of `{"retries": 12}` in the response to count retries this now
looks like `{"retries": {"bulk": 12", "search": 1}`.
Closes#18059
With this commit we compress HTTP responses provided the client
supports it (as indicated by the HTTP header 'Accept-Encoding').
We're also able to process compressed HTTP requests if needed.
The default compression level is lowered from 6 to 3 as benchmarks
have indicated that this reduces query latency with a negligible
increase in network traffic.
Closes#7309
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 adds fields bytes_recovered and files_recovered to the cat
recovery API. These fields, respectively, indicate the total number of
bytes and files recovered. Additionally, for consistency, some totals
fields and translog recovery fields have been renamed.
Closes#17064
Enables the touching of all memory pages used by the JVM heap spaces
during initialization of the HotSpot VM, which commits all memory pages
at initialization time. By default, pages are committed only as they are
needed.
ba5be0332d removed support for degrading
to slf4j and j.u.l but didn't document this as a breaking change because
it is only breaking for folks using Elasticsearch's jar as a java client.
People do that so this counts as a breaking change.
Also, if anyone was brave enough to try and replace log4j on an installed
version of Elasticsearch that will no longer work and this documents that
as well. It doens't get a full heading and instead lives with the java
client notes. Mostly because I can't imagine it worked consistently enough
for anyone to actually do it in the first place. We just never tested it
well enough to make sure we didn't break it after it was implemented.