With this commit we limit the size of all in-flight requests on
transport level. The size is guarded by a circuit breaker and is
based on the content size of each request.
By default we use 100% of available heap meaning that the parent
circuit breaker will limit the maximum available size. This value
can be changed by adjusting the setting
network.breaker.inflight_requests.limit
Relates #16011
The cluster reroute API had a copy of NamedWriteableRegistry's behavior
inside it in the form of AllocationCommands#registerFactory and
AllocationCommands#lookupFactorySafe. There isn't a reason to duplicate
that effort. So this replaces all of AllocationCommand#Factory with
query-like registration in NetworkModule. Why NetworkModule? Because
the transport client needs it.
Makes Writeable not depend on StreamableReader. Keeps the default readFrom
implementation for backwards compatibility during the PROTOTYPE removal
but that'll go when those are gone.
Makes Diffable not extend StreamableReader. Instead Diffable has a readFrom
method. The PROTOTYPE removal will not get to cluster state for a long time
so that method will stay.
Now only a few things implement StreamableReader. They will be addressed
individually and then we'll remove StreamableReader.
When an index is recovered from disk it's metadata is imported first and the master reaches out to the nodes looking for shards of that index. Sometimes those requests reach other nodes before the cluster state is processed by them. At the moment, that situation disables the checking of the store, which requires the meta data (indices with custom path need to know where the data is). When corruption hits this means we may assign a shard to node with corrupted store, which will be caught later on but causes confusion. Instead we can try loading the meta data from disk in those cases.
Relates to #17630
JAVA_OPTS is not a built-in mechanism for passing options to the JVM but
many people think that it is. We do not respect JAVA_OPTS, but this
commit adds a warning if it is set in case the end-user thinks that it
will affect Elasticsearch.
When it comes to query parsing, either a field is tokenized and it would go
through analysis with its search_analyzer. Or it is not tokenized and the
raw string should be passed to termQuery(). Since numeric fields are not
tokenized and also declare a search analyzer, values would currently go through
analysis twice...
This commit renames the function that parses JVM options in
bin/elasticsearch from jvm_options to parse_jvm_options. The reason for
the rename is because a for-loop variable was shadowing the name of this
function and changing the function name further clarifies the purpose of
the function.
This commit fixes the placement of a comment in bin/elasticsearch. The
comment was made out of place by the addition of a function definition
but order is restored.
This commit adds a new configuration file jvm.options to centralize and
simplify management of JVM options. This separates the configuration of
the JVM from the packaging scripts (bin/elasticsearch*, bin/service.bat,
and init.d/elasticsearch) simplifying end-user operational management of
custom JVM options.
We have a couple places in the code base that assume that search is always done
on the inverted index. However with the new points API in Lucene 6, this is not
true anymore. This commit makes MappedFieldType.indexedValueForSearch protected
and fixes call sites to keep working for field types that use the inverted
index and either work differently ar throw an exception otherwise. For instance,
it will still be possible to run cross_fields multi match queries on numeric
fields, but the score contributions will not be blended as well as before, and
significant terms aggregations on long terms will not be possible anymore since
points do not record document frequencies.
This commit removes `MappedFieldType.value` and simplifies
`MappedFieldType.valueforSearch`. `valueforSearch` was used to post-process
values that come for stored fields (eg. to convert a long back to a string
representation of a date in the case of a date field) and also values that
are extracted from the source but only in the case of GET calls: it would
not be called when performing source filtering on search requests.
`valueforSearch` is now only called for stored fields, since values that are
extracted from the source should already be formatted as expected.
In both cases, what elasticsearch is really interested in is whether the field
is an analyzed string field. So it can just check `tokenized()` instead.
* upgrades numerics to new Point format
* updates geo api changes
* adds GeoPointDistanceRangeQuery as XGeoPointDistanceRangeQuery
* cuts over to ES GeoHashUtils
TL;DR This commit should not have any impact on terms aggs, it will just make
supporting ipv6 easier.
Currently only the numeric terms aggs propagate the DocValueFormat instance since
we use numerics to represent also dates or ip addresses. Since string terms aggs
are only used for text/keyword/string fields, they do not use the format and just
call toUt8String(). However when we support ipv6, ip addresses as well will be
encoded in sorted doc values (just like strings) so we will need to use the
DocValueFormat to format the keys.
CBOR is natively supported in Elasticsearch and allows for byte arrays.
This means, that by using CBOR the user can prevent base64 conversions
for the data being sent back and forth.
This PR adds support to extract data from a byte array in addition to
a string. This also required to add a ByteArrayValueSource class.
In #17133 we introduce request size limit handling and need a custom
channel implementation. In order to ensure we delegate all methods
it is better to have this channel implement an interface instead of
an abstract base class (so changes on the interface turn into
compile errors).
Relates #17133