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)
Drops some inline callouts that snuck into 7.x. We're doings this in
preparation for switching the elasticsearch reference to asciidoctor
which doesn't support them.
Implement a more trivial case of the CASE expression which is
expressed as a traditional function with 2 or 3 arguments. e.g.:
IIF(a = 1, 'one', 'many')
IIF(a > 0, 'positive')
Closes: #40917
(cherry picked from commit add02f4f553ad472026dcc1eaa84245a0558a4b0)
Implement the ANSI SQL CASE expression which provides the if/else
functionality common to most programming languages.
The CASE expression can have multiple WHEN branches and becomes a
powerful tool for SQL queries as it can be used in SELECT, WHERE,
GROUP BY, HAVING and ORDER BY clauses.
Closes: #36200
(cherry picked from commit 8b2577406f47ae60d15803058921d128390af0b6)
- Added square brackets for the optional argument of precision
- Fixed character to lower case after comma
(cherry picked from commit d2f6f3b9ce36875e2eb6145c50464b4d72f2b1df)
After `TIME` SQL data type is introduced, implement
`CURRENT_TIME/CURTIME` functions similarly to CURRENT_TIMESTAMP
that return the system's current time (only, without the date part).
Closes: #40468
(cherry picked from commit 9feede781409d0e264ce45951a25b28ff129b187)
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)
Extend CAST to support all data types notations (whether SQL or ES
specific)
Fix#40282
(cherry picked from commit eb2ee8a344da946920598839a5db76c8bb9bc3fe)
`<expression>::<dataType>` is a simplified altenative syntax to
`CAST(<expression> AS <dataType> which exists in PostgreSQL and
provides an improved user experience and possibly more compact
SQL queries.
Fixes: #38717
FIRST and LAST can be used with one argument and work similarly to MIN
and MAX but they are implemented using a Top Hits aggregation and
therefore can also operate on keyword fields. When a second argument is
provided then they return the first/last value of the first arg when its
values are ordered ascending/descending (respectively) by the values of
the second argument. Currently because of the usage of a Top Hits
aggregation FIRST and LAST cannot be used in the HAVING clause of a
GROUP BY query to filter on the results of the aggregation.
Closes: #35639
* SQL: Rename SQL data type DATE to DATETIME
SQL data type DATE has only the date part (e.g.: 2019-01-14)
without any time information. Previously the SQL type DATE was
referring to the ES DATE which contains also the time part along
with TZ information. To conform with SQL data types the data type
`DATE` is renamed to `DATETIME`, since it includes also the time,
as a new runtime SQL `DATE` data type will be introduced down the road,
which only contains the date part and meets the SQL standard.
Closes: #36440
* Address comments
* provide overriden `hashCode` and toString methods to account for `DISTINCT`
* change the analyzer for scenarios where `COUNT <field_name>` and `COUNT DISTINCT` have different paths
* defined a new `filter` aggregation encapsulating an `exists` query to filter out null or missing values
Enhance error message for the case that the 2nd argument of PERCENTILE
and PERCENTILE_RANK is not a foldable, as it doesn't make sense to have
a dynamic value coming from a field.
Fixes: #36903
* 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
Allow scripts to correctly reference grouping functions
Fix bug in translation of date/time functions mixed with histograms.
Enhance Verifier to prevent histograms being nested inside other
functions inside GROUP BY (as it implies double grouping)
Extend Histogram docs
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
Add CURRENT_TIMESTAMP as keyword as well function alongside NOW()
These return the current date/time for the given query, computed when
the statement reaches the server. For completeness, CURRENT_TIMESTAMP
also accepts precision as an optional parameter.
Fix#36534
* Renamed DAY_OF_WEEK and WEEK_OF_YEAR functions to their ISO version and
added the same functions with different functionality.
* Rewritten the datetime functions documentation to follow the format of the other
functions documentation pages.
Add GREATEST(expr1, expr2, ... exprN) and LEAST(expr1, expr2, exprN)
functions which are in the family of CONDITIONAL functions.
Implementation follows PostgreSQL behaviour, so the functions return
`NULL` when all of their arguments evaluate to `NULL`.
Renamed `CoalescePipe` and `CoalesceProcessor` to `ConditionalPipe` and
`ConditionalProcessor` respectively, to be able to reuse them for
`Greatest` and `Least` evaluations. To achieve that `ConditionalOperation`
has been added to differentiate between the functionalities at execution
time.
Closes: #35878
This operator handles nulls in different way than the normal `=`.
If one of the operants is `null` and the other not it returns `false`.
If both operants are `null` it returns `true`. Therefore in contrary to
`=`, which returns `null` if at least one of the operants is `null`, this one
never returns `null` as a result.
Closes: #35871
Implement the functionality to translate the
`field IN (value1, value2,...)` expressions to proper Lucene queries
or painless script or local processors depending on the use case.
The `IN` expression can be used in SELECT, WHERE and HAVING clauses.
Closes: #32955
`CONVERT` works exactly like cast with slightly different syntax:
`CONVERT(<value>, <data_type)` as opposed to `CAST(<value> AS <data_type>)`
Moreover it support format of the MS-SQL data types `SQL_<type>`,
e.g.: `SQL_INTEGER`
Closes: #34513
* New OCTET_LENGTH function
* Changed the way the FunctionRegistry stores functions, considering the alphabetic ordering by name
* Added documentation for the RANDOM function
* Changed the format of the String functions documentation page.
* Adopted the same format for Math functions, but completely changed the examples.
* Added missing documentation for Math functions.
* Added TRUNCATE function, modified ROUND to accept two parameters instead of one. Made the second parameter optional for both functions.
* Added documentation for both functions.
James Rodewig
Igor Motov
Marios Trivyzas
Nik Everett
Marios Trivyzas
Andrei Stefan
Costin Leau
Marios Trivyzas