Fix a couple of wrong links because of the order of the anchor
and the usage of backquotes.
(cherry picked from commit 4e0c6525153b60a57202937c2ae57968c8e35285)
In AsciiDoc, `subs="attributes,callouts,macros"` options were required
to render `include-tagged::` in a code block.
With elastic/docs#827, Elasticsearch Reference documentation migrated
from AsciiDoc to Asciidoctor.
In Asciidoctor, the `subs="attributes,callouts,macros"` options are no
longer needed to render `include-tagged::` in a code block. This commit
removes those unneeded options.
Resolves#41589
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
Add a TIP on how to use CASE to achieve custom bucketing
with GROUP BY.
Follows: #41349
(cherry picked from commit eb5f5d45533c5f81e57dd0221d902a73ec400098)
A full format for a DATETIME would be:
`2019-03-30T10:20:30.123+10:00` which is 29 chars long.
For DATE a full format would be: `2019-03-30T00:00:00.000+10:00`
which is also 29 chars long.
(cherry picked from commit 6be83964ed025528778bca8d35692762e166983b)
Support ANSI SQL's TIME type by introductin a runtime-only
ES SQL time type.
Closes: #38174
(cherry picked from commit 046ccd4cf0a251b2a3ddff6b072ab539a6711900)
* Document MATCH and QUERY function predicates.
* Polish the functions pages and add a list of functions to the main Functions & Operators page.
(cherry picked from commit 4cec0ae1b962ec7ea011a290aec72740386eb808)
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)
In order to distinguish the ES-SQL type from the standard SQL type
add a new ES-SQL column that will make clear this distingstion,
e.g.: datetime vs TIMSTAMP
Fixes: #37519
* Added Limitations page
* Made the aggregations page follow the common template for functions
* Modified all tables to have the first row's cells content centered
* Polishing in other various sections
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
Previously, parsing an arithmetic expression with `*` and no spaces,
e.g.: `2*i` threw a parsing exception as the grammar rule for
tableIdentifier was clashing with the rule for arithmetic operator `*`.
This issue comes already in the lexer and the left part of the
expression (in our example `2*`) was recognised as a
TABLE_IDENTIFIER token.
The solution adopted is to allow the `*` wildcard in the table name
only if it's surrounded with double quotes, e.g.: `"my*index"`
Closes: #33957
Split function section into multiple chapters
Add String functions
Add (small) section on Conversion/Cast functions
Add missing aggregation functions
Enable documentation testing (was disabled by accident). While at it,
fix failing tests
Improve spec tests to allow multi-line queries (useful for docs)
Add ability to ignore a spec test (name should end with -Ignore)
Extend SHOW TABLES, DESCRIBE and SHOW COLUMNS to support table
identifiers not just SQL LIKE pattern.
This allows both Elasticsearch-style multi-index patterns and SQL LIKE.
To disambiguate between the two (as the " vs ' can be easy to miss),
the grammar now requires LIKE keyword as a prefix for all LIKE-like
patterns.
Also added some docs comparing the two types of patterns.
Fix#33294
For historical reasons SQL restricts GROUP BY to only one field.
This commit removes the restriction and improves the test suite with
multi group by tests.
Close#31793
Significantly improve the example snippets in the documentation.
The examples are part of the test suite and checked nightly.
To help readability, the existing dataset was extended (test_emp renamed
to emp plus library).
Improve output of JDBC tests to be consistent with the CLI
Add lenient flag to JDBC asserts to allow type widening (a long is
equivalent to a integer as long as the value is the same).