Currently it does not because our parsers do not support big integers/decimals
(on purpose) but we do not have to ask our parser for the number type, we can
just ask the jackson parser for a number representation of the value with the
right type.
Note that I did not add similar tests for big decimals because Jackson seems to
never return big decimals, even for decimal values that are out of the range of
values that can be represented by doubles.
Closes#11508
This commit configures the deprecation logs to be size-limited to 1 GB,
and compress these logs when they roll. The default configuration will
preserve up to four rolled logs.
Relates #20287
This commit configures test logging for Log4j 2. The default logger
configuration uses the console appender but at the error level, so most
tests are missing logging. Instead, this commit provides a configuration
for tests which is picked up from the classpath by Log4j 2 when it
initializes. However, this now means that we can no longer initialize
Log4j with a bare-bones configuration when tests run as doing so will
prevent Log4j 2 from attempting to configure logging via the
classpath. Consequently, we move this needed initialization (as
commented, to avoid a message about a status logger not being configured
when we are preparing to configure Log4j from properties files in the
config directory) to only run when we are explicitly configuring Log4j
from properties files.
Relates #20284
Rather than checking that those values are greater than 0, we can sum up the values gotten from all nodes and check that what is returned is that same value.
The mem section was buggy in cluster stats and removed. It is now added back with the same structure as in node stats, containing total memory, available memory, used memory and percentages. All the values are the sum of all the nodes across the cluster (or at least the ones that we were able to get the values from).
If elasticsearch controls the ID values as well as the documents
version we can optimize the code that adds / appends the documents
to the index. Essentially we an skip the version lookup for all
documents unless the same document is delivered more than once.
On the lucene level we can simply call IndexWriter#addDocument instead
of #updateDocument but on the Engine level we need to ensure that we deoptimize
the case once we see the same document more than once.
This is done as follows:
1. Mark every request with a timestamp. This is done once on the first node that
receives a request and is fixed for this request. This can be even the
machine local time (see why later). The important part is that retry
requests will have the same value as the original one.
2. In the engine we make sure we keep the highest seen time stamp of "retry" requests.
This is updated while the retry request has its doc id lock. Call this `maxUnsafeAutoIdTimestamp`
3. When the engine runs an "optimized" request comes, it compares it's timestamp with the
current `maxUnsafeAutoIdTimestamp` (but doesn't update it). If the the request
timestamp is higher it is safe to execute it as optimized (no retry request with the same
timestamp has been run before). If not we fall back to "non-optimzed" mode and run the request as a retry one
and update the `maxUnsafeAutoIdTimestamp` unless it's been updated already to a higher value
Relates to #19813
Luca Cavanna
Clinton Gormley
javanna
Simon Willnauer
Adrien Grand
Jun Ohtani
Areek Zillur
nrichers
Jack Conradson
Nik Everett
Jason Tedor
Florian Hopf
Martijn van Groningen
Simon Willnauer