BytesReference should be a really simple interface, yet it has a gazillion
ways to achieve the same this. Methods like `#hasArray`, `#toBytesArray`, `#copyBytesArray`
`#toBytesRef` `#bytes` are all really duplicates. This change simplifies the interface
dramatically and makes implementations of it much simpler. All array access has been removed
and is streamlined through a single `#toBytesRef` method. Utility methods to materialize a
compact byte array has been added too for convenience.
Migrates the `stats` and `extended_stats` aggregations and pipeline
aggregations from the special purpose aggregations streams to
`NamedWriteable`. These are the first pipeline aggregations so this
adds the infrastructure to support both streams and `NamedWriteable`s
for pipeline aggregations.
When we introduced docs testing we added a special case for $body in Stash, so that the last stashed body could be evaluated, and expressions like "$body.took" could be extracted out of it. We can instead do that for any object in the stash, by simply wrapping the internal map in an ObjectPath instance. We can then drop the special stashResponse method and go back to using the ordinary stashValue too.
The downside of this change is that it adds a feature that may not be supported by other REST test runners, namely the evaluation of compouned paths from the stash. If we have "object" stashed as an object, it is now possible to extract directly each subobject of it as well e.g. "object.subobject.field1". None of the current REST tests rely on this, but our docs snippets tests do.
No need to match against yaml responses via regexes in REST tests, yaml responses can be properly parsed via ObjectPath instead. Few REST tests need to be updated accordingly.
We are going to parse the body anyways whenever it's in json format as it is going to be stashed. It is not useful to lazily parse it anymore. Also this allows us to not rely on automatic detection of the xcontent type based on the content of the response, but rather read the content type from the response headers.
ObjectPath used a Map up until now for the internal representation of its navigable object. That works in most of the cases, but there could also be an array as root object, in which case a List needs to be used instead of a Map. This commit changes the internal representation of the object to Object which can either be a List or a Map. The change is minimal as ObjectPath already had the checks in place to verify the type of the object in the current position and navigate through it.
Note: The new test added to ObjectPathTest uses yaml format explicitly as auto-detection of json format works only for a json object that starts with '{', not if the root object is actually an array and starts with '['.
The internal representation of the object that JsonPath gives access to is a map. That is independent of the initial input format, which is json but could also be yaml etc.
This commit renames JsonPath to ObjectPath and adds a static method to create an ObjectPath from an XContent
We introduced a special response_body assertion to test our docs snippets. The match assertion does the same job though and can be reused and adapted where needed. ResponseBodyAssertion contains provides much better and accurate errors though, which can be now utilized in MatchAssertion so that many more REST tests can benefit from readable error messages.
Each response body gets always stashed and can be retrieved for later evaluations already. Instead of providing the response body as strings that get parsed to json objects separately, then converted to maps as ResponseBodyAssertion did, we parse everything once, the json is part of the yaml test, which is supported. The only downside is that json comments cannot be used, rather yaml comments should be used (// C style vs # ). There were only two docs tests that were using comments in ingest-node.asciidoc where I went ahead and remove the comments which didn't seem that useful anyways.
Repository-S3 needs a special permission because of problems in AmazonS3Client: when no region is set on a AmazonS3Client instance, the AWS SDK loads all known partitions from a JSON file and uses a Jackson's ObjectMapper for that: this one, in version 2.5.3 with the default binding options, tries to suppress access checks of ctor/field/method and thus requires this special permission. AWS must be fixed to uses Jackson correctly and have the correct modifiers on binded classes.
This must be fixed in aws sdk (see https://github.com/aws/aws-sdk-java/issues/766) but in the meanwhile we have no choice.
closes#18539
Raise IOException on deleteBlob if the blob doesn't exist
This commit raises an IOException on BlobContainer#deleteBlob
if the blob does not exist, in conformance with the BlobContainer
interface contract. Each implementation of BlobContainer now
conforms to this contract (file system, S3, Azure, HDFS). This
commit also contains blob container tests for each of the
repository implementations.
Closes#18530
We'll migrate to NamedWriteable so we can share code with the rest
of the system. So we can work on this in multiple pull requests without
breaking Elasticsearch in between the commits this change supports
*both* old style `InternalAggregations.stream` serialization and
`NamedWriteable` style serialization. As such it creates about a
half dozen `// NORELEASE` comments that will have to be removed
once the migration is complete.
This also introduces a boolean `transportClient` flag to `SearchModule`
which is used to skip inappropriate registrations for for the
transport client while still registering the things it needs. In
this case that means that the `InternalAggregation` subclasses are
registered with the `NamedWriteableRegistry` but the `AggregationBuilder`
subclasses are not.
Finally, this moves aggregation registration from guice configuration
time to `SearchModule` construction time. This will make it simpler to
work with in the future as we further clean up Elasticsearch's
extension points.
We have long worked to capture different partitioning scenarios in our testing infra. This PR adds a new variant, inspired by the Jepsen blogs, which was forgotten far - namely a partition where one node can still see and be seen by all other nodes. It also updates the resiliency page to better reflect all the work that was done in this area.
This commits adds support for a `teardown` section that can be defined in REST tests to
clean up any items that may have been created by the test and are not cleaned up by
deletion of indices and templates.
Currently there are cases when using TimeIntervalRounding#round() and date1 <
date2 that round(date2) < round(date1). These errors can happen when using a
non-fixed time zone and the values to be rounded are slightly after a time zone
offset change (e.g. DST transition).
Here is an example for the "CET" time zone with a 45 minute rounding interval.
The dates to be rounded are on the left (with utc time stamp), the rounded
values on the right. The error case is marked:
2011-10-30T01:40:00.000+02:00 1319931600000 | 2011-10-30T01:30:00.000+02:00 1319931000000
2011-10-30T02:02:30.000+02:00 1319932950000 | 2011-10-30T01:30:00.000+02:00 1319931000000
2011-10-30T02:25:00.000+02:00 1319934300000 | 2011-10-30T02:15:00.000+02:00 1319933700000
2011-10-30T02:47:30.000+02:00 1319935650000 | 2011-10-30T02:15:00.000+02:00 1319933700000
2011-10-30T02:10:00.000+01:00 1319937000000 | 2011-10-30T01:30:00.000+02:00 1319931000000 *
2011-10-30T02:32:30.000+01:00 1319938350000 | 2011-10-30T02:15:00.000+01:00 1319937300000
2011-10-30T02:55:00.000+01:00 1319939700000 | 2011-10-30T02:15:00.000+01:00 1319937300000
2011-10-30T03:17:30.000+01:00 1319941050000 | 2011-10-30T03:00:00.000+01:00 1319940000000
We should correct this by detecting that we are crossing a transition when
rounding, and in that case pick the largest valid rounded value before the
transition.
This change adds this correction logic to the rounding function and adds this
invariant to the randomized TimeIntervalRounding tests. Also adding the example
test case from above (with corrected behaviour) for illustrative purposes.
Update-By-Query and Delete-By-Query use internal versioning to update/delete documents. But documents can have a version number equal to zero using the external versioning... making the UBQ/DBQ request fail because zero is not a valid version number and they only support internal versioning for now. Sequence numbers might help to solve this issue in the future.
Tal Levy
Nik Everett
Tanguy Leroux
Christoph Wurm
Simon Willnauer
Christoph Wurm
Leon Weidauer
Luca Cavanna
javanna
gfyoung
Jason Tedor
Ryan Ernst
Clinton Gormley
Boaz Leskes
Jay Modi
jaymode
Christoph Büscher
jalvar08
David Pilato