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 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.
We have both `Settings.settingsBuilder` and `Settings.builder` that do exactly
the same thing, so we should keep only one. I kept `Settings.builder` since it
has my preference but also it is the one that we use in examples of the Java API.
This commit removes the ability to use string fields on indices created on or
after 5.0. Dynamic mappings now generate text fields by default for strings
but there are plans to also add a sub keyword field (in a future PR).
Most of the changes in this commit are just about replacing string with
keyword or text. Some tests have been removed because they existed because of
corner cases of string mappings like setting ignore-above on a text field or
enabling term vectors on a keyword field which are now impossible.
The plan is to remove strings entirely in 6.0.
The big win here is catching tests that are incorrectly named and will
be skipped by gradle, providing a false sense of security.
The whole thing takes about 10 seconds on my Macbook Air, not counting
compiling the test classes, which seems worth it. Because this runs as
a gradle task with propery UP-TO-DATE handling it can be skipped if the
tests haven't been changed which should save some time.
I chose to keep this in test:framework rather than a new subproject of
buildSrc because ESIntegTestCase and doesn't inroduce any additional
dependencies.
Instead of modifying methods each time we need to add a new behavior for settings, we can simply pass `SettingsProperty... properties` instead.
`SettingsProperty` could be defined then:
```
public enum SettingsProperty {
Filtered,
Dynamic,
ClusterScope,
NodeScope,
IndexScope
// HereGoesYours;
}
```
Then in setting code, it become much more flexible.
TODO: Note that we need to validate SettingsProperty which are added to a Setting as some of them might be mutually exclusive.
Cli tools currently catch all exceptions, and only print the exception
message, except when a special system property is set. Even with this
flag set, certain exceptions, like IOException, are captured and their
stack trace is always lost.
This change adds a UserError class, which can be used a cli tools to
specify a message to the user, as well as an exit status. All other
exceptions are propagated out of main, so java will exit with non-zero
and print the stack trace.
Parsing is currently very lenient, which has the bad side-effect that if you
have a typo and pass eg. `store: fasle` this will actually be interpreted as
`store: true`. Since mappings can't be changed after the fact, it is quite bad
if it happens on an index that already contains data.
Note that this does not cover all settings that accept a boolean, but since the
PR was quite hard to build and already covers some main settirgs like `store`
or `doc_values` this would already be a good incremental improvement.
The rest test framework, because it used to be tightly integrated with
ESIntegTestCase, currently expects the addresses for the test cluster to
be passed using the transport protocol port. However, it only uses this
to then find the http address.
This change makes ESRestTestCase extend from ESTestCase instead of
ESIntegTestCase, and changes the sysprop used to tests.rest.cluster,
which now takes the http address.
closes#15459
Site plugins used to be used for things like kibana and marvel, but
there is no longer a need since kibana (and marvel as a kibana plugin)
uses node.js. This change removes site plugins, as well as the flag for
jvm plugins. Now all plugins are jvm plugins.
DocumentMapperParser has both parse and parseCompressed methods. Except that the
parse methods are ONLY used from the unit tests. This commit removes the parse
method and moves all tests to parseCompressed so that they test more
realistically how mappings are managed.
Then I renamed parseCompressed to parse given that this is the only alternative
anyway.
This fixes the `lenient` parameter to be `missingClasses`. I will remove this boolean and we can handle them via the normal whitelist.
It also adds a check for sheisty classes (jar hell with the jdk).
This is inspired by the lucene "sheisty" classes check, but it has false positives. This check is more evil, it validates every class file against the extension classloader as a resource, to see if it exists there. If so: jar hell.
This jar hell is a problem for several reasons:
1. causes insanely-hard-to-debug problems (like bugs in forbidden-apis)
2. hides problems (like internal api access)
3. the code you think is executing, is not really executing
4. security permissions are not what you think they are
5. brings in unnecessary dependencies
6. its jar hell
The more difficult problems are stuff like jython, where these classes are simply 'uberjared' directly in, so you cant just fix them by removing a bogus dependency. And there is a legit reason for them to do that, they want to support java 1.4.
When creating a metadata mapper for a new type, we reuse an existing
configuration from an existing type (if any) in order to avoid introducing
conflicts. However this field type that is provided is considered as both an
initial configuration and the default configuration. So at serialization time,
we might only serialize the difference between the current configuration and
this default configuration, which might be different to what is actually
considered the default configuration.
This does not cause bugs today because metadata mappers usually override the
toXContent method and compare the current field type with Defaults.FIELD_TYPE
instead of defaultFieldType() but I would still like to do this change to
avoid future bugs.
The `path` option allowed to index/store a field `a.b.c` under just `c` when
set to `just_name`. This "feature" has been removed in 2.0 in favor of `copy_to`
so we can remove the back compat in 3.x.
Today mappings are mutable because of two APIs:
- Mapper.merge, which expects changes to be performed in-place
- IncludeInAll, which allows to change whether values should be put in the
`_all` field in place.
This commit changes both APIs to return a modified copy instead of modifying in
place so that mappings can be immutable. For now, only the type-level object is
immutable, but in the future we can imagine making them immutable at the
index-level so that mapping updates could be completely atomic at the index
level.
Close#9365
throw exception if a copy_to is within a multi field
Copy to within multi field is ignored from 2.0 on, see #10802.
Instead of just ignoring it, we should throw an exception if this
is found in the mapping when a mapping is added. For already
existing indices we should at least log a warning.
We remove the copy_to in any case.
related to #14946
Failures to merge a mapping can either come as a MergeMappingException if they
come from Mapper.merge or as an IllegalArgumentException if they come from
FieldTypeLookup.checkCompatibility. I think we should settle on one: this pull
request replaces all usage of MergeMappingException with
IllegalArgumentException.
Its enough to test the content type for what we are testing.
Currently tests are flaky if charset is detected as e.g. windows-1252 vs iso-8859-1 and so on.
In fact, they fail on windows 100% of the time.
We are not trying to test charset detection heuristics (which might be different even due to newlines in tests or other things).
If we want to do test that, we should test it separately.
This moves the registration of field mappers from the index level to the node
level and also ensures that mappers coming from plugins are treated no
differently from core mappers.
Adrien Grand
David Pilato
Ryan Ernst
Lee Hinman
Nik Everett
Tanguy Leroux
Daniel Mitterdorfer
Simon Willnauer
Robert Muir
Britta Weber
Britta Weber