This commit adds a new request object field, "version", containing the version of the requesting client. This parameter is now accepted - and for certain clients required - by the server and the request is validated against it. Currently server's and client's versions still need to be equal in order for the request to be accepted. Relaxing this check is going to be part of future work.
On the clients' side, the only check remaining is to ensure that the peer server is supporting version backwards compatibility (i.e. is on, or newer than a certain release).
(cherry picked from commit a8f413a20fb023bec83af0de1211a2936a7f558c)
* Add more checks around parameter conversions
This commit adds two necessary verifications on received parameters:
- it checks the validity of the parameter's data type: if the declared
data type is resolved to an ES or Java type;
- it checks if the returned converter is non-null (i.e. a conversion is
possible) and generates an appropriate exception otherwise.
(cherry picked from commit eda30ac9c69383165324328c599ace39ac064342)
To recap, Attributes form the properties of a derived table.
Each LogicalPlan has Attributes as output since each one can be part of
a query and as such its result are sent to its consumer.
This change essentially removes the name id comparison so any changes
applied to existing expressions should work as long as the said
expressions are semantically equivalent.
This change enforces the hashCode and equals which has the side-effect
of using hashCode as identifiers for each expression.
By removing any property from an Attribute, the various components need
to look the original source for comparison which, while annoying, should
prevent a reference from getting out of sync with its source due to
optimizations.
Essentially going forward there are only 3 types of NamedExpressions:
Alias - user define (implicit or explicit) name
FieldAttribute - field backed by Elasticsearch
ReferenceAttribute - a reference to another source acting as an
Attribute. Typically the Attribute of an Alias.
* Remove the usage of NamedExpression as basis for all Expressions.
Instead, restrict their use only for named context, such as projections
by using Aliasing instead.
* Remove different types of Attributes and allow only FieldAttribute,
UnresolvedAttribute and ReferenceAttribute. To avoid issues with
rewrites, resolve the references inside the QueryContainer so the
information always stays on the source.
* Side-effect, simplify the rules as the state for InnerAggs doesn't
have to be contained anymore.
* Improve ResolveMissingRef rule to handle references to named
non-singular expression tree against the same expression used up the
tree.
#49693 backport to 7.x
(cherry picked from commit 5d095e2173bcbf120f534a6f2a584185a7879b57)
* Introduce binary_format request parameter (binary.format for JDBC) to disable binary
communication between clients (jdbc/odbc) and server.
* for CLI - "binary" command line parameter (or -b) is introduced. Default value is "true".
* binary communication (cbor) is enabled by default
* disabling request parameter introduced for debugging purposes only
(cherry picked from commit f96a5ca61cb9fad9ed59357320af20e669348ce7)
* Add format parameter to the range queries built for CURRENT_* functions
used in comparison conditions
* Use range queries for date fields equality/non-equality as well.
(cherry picked from commit c1e81e90f937ee5a002524d632bfce74d76962f9)
* Switch from using docvalue_fields to extracting values from _source
where applicable. Doing this means parsing the _source and handling the
numbers parsing just like Elasticsearch is doing it when it's indexing
a document.
* This also introduces a minor limitation: aliases type of fields that
are NOT part of a tree of sub-fields will not be able to be retrieved
anymore. field_caps API doesn't shed any light into a field being an
alias or not and at _source parsing time there is no way to know if a
root field is an alias or not. Fields of the type "a.b.c.alias" can be
extracted from docvalue_fields, only if the field they point to can be
extracted from docvalue_fields. Also, not all fields in a hierarchy of
fields can be evaluated to being an alias.
(cherry picked from commit 8bf8a055e38f00df5f49c8d97f632f69d6e00c2c)
- Previously, when shorting on an aggregate function the bucket
processing ended early when the explicit (LIMIT XXX) or the impliciti
limit of 512 was reached. As a consequence, only a set of grouping
buckets was processed and the results returned didn't reflect the global
ordering.
- Previously, the priority queue shorting method had an inverse
comparison check and the final response from the priority queue was also
returned in the inversed order because of the calls to the `pop()`
method.
Fixes: #42851
(cherry picked from commit 19909edcfdf5792b38c1363b07379783ebd0e6c4)
Allow querying of FROZEN indices both through dedicated SQL grammar
extension:
> SELECT field FROM FROZEN index
and also through driver configuration parameter, namely:
> index.include.frozen: true/false
Fix#39390Fix#39377
(cherry picked from commit 2445a933915f420c7f51e8505afa0a7978ce6b0f)
Adds an initial limited implementations of geo features to SQL. This implementation is based on the [OpenGIS® Implementation Standard for Geographic information - Simple feature access](http://www.opengeospatial.org/standards/sfs), which is the current standard for GIS system implementation. This effort is concentrate on SQL option AKA ISO 19125-2.
Queries that are supported as a result of this initial implementation
Metadata commands
- `DESCRIBE table` - returns the correct column types `GEOMETRY` for geo shapes and geo points.
- `SHOW FUNCTIONS` - returns a list that includes supported `ST_` functions
- `SYS TYPES` and `SYS COLUMNS` display correct types `GEO_SHAPE` and `GEO_POINT` for geo shapes and geo points accordingly.
Returning geoshapes and geopoints from elasticsearch
- `SELECT geom FROM table` - returns the geoshapes and geo_points as libs/geo objects in JDBC or as WKT strings in console.
- `SELECT ST_AsWKT(geom) FROM table;` and `SELECT ST_AsText(geom) FROM table;`- returns the geoshapes ang geopoints in their WKT representation;
Using geopoints to elasticsearch
- The following functions will be supported for geopoints in queries, sorting and aggregations: `ST_GeomFromText`, `ST_X`, `ST_Y`, `ST_Z`, `ST_GeometryType`, and `ST_Distance`. In most cases when used in queries, sorting and aggregations, these function are translated into script. These functions can be used in the SELECT clause for both geopoints and geoshapes.
- `SELECT * FROM table WHERE ST_Distance(ST_GeomFromText(POINT(1 2), point) < 10;` - returns all records for which `point` is located within 10m from the `POINT(1 2)`. In this case the WHERE clause is translated into a range query.
Limitations:
Geoshapes cannot be used in queries, sorting and aggregations as part of this initial effort. In order to fully take advantage of geoshapes we would need to have access to geoshape doc values, which is coming in #37206. `ST_Z` cannot be used on geopoints in queries, sorting and aggregations since we don't store altitude in geo_point doc values.
Relates to #29872
Backport of #42031
Properly treat '%' as a wildcard for catalog filtering instead of doing
a straight string match.
Table filtering now considers aliases as well.
Add escaping char for LIKE queries with user defined params
Fix monotony of ORDINAL_POSITION
Add integration test for SYS COLUMNS - currently running only inside
single_node since the cluster name is test dependent.
Add pattern unescaping for index names
Fix#40582
(cherry picked from commit 8e61b77d3f849661b7175544f471119042fe9551)
To avoid having to specify each spec by hand (which can miss specs to be
added), the test infrastructure now performs classpath discovery so that
each spec added, is automatically considered.
Relates #40358
(cherry picked from commit d0f60b4425c731509aa8ca765d55f563f866ef90)
* Bundle java in distributions
Setting up a jdk is currently a required external step when installing
elasticsearch. This is particularly problematic for the rpm/deb packages
as installing a jdk in the same package installation command does not
guarantee any order, so must be done in separate steps. Additionally,
JAVA_HOME must be set and often causes problems in selecting a correct
jdk when, for example, the system java is an older unsupported version.
This commit bundles platform specific openjdks into each distribution.
In addition to eliminating the issues above, it also presents future
possible improvements like using jlink to build jdk images only
containing modules that elasticsearch uses.
closes#31845
Queries that require counting of all hits (COUNT(*) on implicit
group by), now enable accurate hit tracking.
Fix#37971
(cherry picked from commit 265b637cf6df08986a890b8b5daf012c2b0c1699)
Introduce client-side sorting of groups based on aggregate
functions. To allow this, the Analyzer has been extended to push down
to underlying Aggregate, aggregate function and the Querier has been
extended to identify the case and consume the results in order and sort
them based on the given columns.
The underlying QueryContainer has been slightly modified to allow a view
of the underlying values being extracted as the columns used for sorting
might not be requested by the user.
The PR also adds minor tweaks, mainly related to tree output.
Close#35118
Doc-value fields now return a value that is based on the mappings rather than
the script implementation by default.
This deprecates the special `use_field_mapping` docvalue format which was added
in #29639 only to ease the transition to 7.x and it is not necessary anymore in
7.0.
* Default include_type_name to false for get and put mappings.
* Default include_type_name to false for get field mappings.
* Add a constant for the default include_type_name value.
* Default include_type_name to false for get and put index templates.
* Default include_type_name to false for create index.
* Update create index calls in REST documentation to use include_type_name=true.
* Some minor clean-ups around the get index API.
* In REST tests, use include_type_name=true by default for index creation.
* Make sure to use 'expression == false'.
* Clarify the different IndexTemplateMetaData toXContent methods.
* Fix FullClusterRestartIT#testSnapshotRestore.
* Fix the ml_anomalies_default_mappings test.
* Fix GetFieldMappingsResponseTests and GetIndexTemplateResponseTests.
We make sure to specify include_type_name=true during xContent parsing,
so we continue to test the legacy typed responses. XContent generation
for the typeless responses is currently only covered by REST tests,
but we will be adding unit test coverage for these as we implement
each typeless API in the Java HLRC.
This commit also refactors GetMappingsResponse to follow the same appraoch
as the other mappings-related responses, where we read include_type_name
out of the xContent params, instead of creating a second toXContent method.
This gives better consistency in the response parsing code.
* Fix more REST tests.
* Improve some wording in the create index documentation.
* Add a note about types removal in the create index docs.
* Fix SmokeTestMonitoringWithSecurityIT#testHTTPExporterWithSSL.
* Make sure to mention include_type_name in the REST docs for affected APIs.
* Make sure to use 'expression == false' in FullClusterRestartIT.
* Mention include_type_name in the REST templates docs.
Improve error messages by returning the original SQL statement
declaration instead of trying to reproduce it as the casing and
whitespaces are not preserved accurately leading to small
differences.
Close#37161
Added warnings checks to existing tests
Added “defaultTypeIfNull” to DocWriteRequest interface so that Bulk requests can override a null choice of document type with any global custom choice.
Related to #35190
Improve error message returned to the client when an SQL statement
cannot be translated to a ES query DSL. Cases:
1. WHERE clause evaluates to FALSE => No results returned
1. Missing FROM clause => Local execution, e.g.: SELECT SIN(PI())
3. Special SQL command => Only valid of SQL iface, e.g.: SHOW TABLES
Fixes: #37040
Introduce Histogram grouping function for bucketing/grouping data based
on a given range. Both date and numeric histograms are supported using
the appropriate range declaration (numbers vs intervals).
SELECT HISTOGRAM(number, 50) AS h FROM index GROUP BY h
SELECT HISTOGRAM(date, INTERVAL 1 YEAR) AS h FROM index GROUP BY h
In addition add multiply operator for Intervals
Add docs for intervals and histogram
Fix#36509
Moves `x-pack/qa/sql/*` into `x-pack/plugin/sql/qa` to make it simpler
to run all of the sql tests. This lines up with how newer projects like
cross cluster replication are testing themselves.
Andrei Stefan
Bogdan Pintea
Costin Leau
Alpar Torok
Marios Trivyzas
Igor Motov
Ryan Ernst
Adrien Grand
Julie Tibshirani
markharwood
Nik Everett