While we use `== false` as a more visible form of boolean negation
(instead of `!`), the true case is implied and the true value does not
need to explicitly checked. This commit converts cases that have slipped
into the code checking for `== true`.
The JdbcHttpClientRequestTests and HttpClientRequestTests classes both
hold a static reference to a mock web server that internally uses the
JDKs built-in HttpServer, which resides in a sun package that the
RamUsageEstimator does not have access to. This causes builds that use
a runtime of Java 8 to fail since the StaticFieldsInvariantRule is run
when Java 8 is used.
Relates #41526
Relates #49105
Backport of #48849. Update `.editorconfig` to make the Java settings the
default for all files, and then apply a 2-space indent to all `*.gradle`
files. Then reformat all the files.
* 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)
This commit simplifies and standardizes our usage of the Gradle Shadow
plugin to conform more to plugin conventions. The custom "bundle" plugin
has been removed as it's not necessary and performs the same function
as the Shadow plugin's default behavior with existing configurations.
Additionally, this removes unnecessary creation of a "nodeps" artifact,
which is unnecessary because by default project dependencies will in
fact use the non-shadowed JAR unless explicitly depending on the
"shadow" configuration.
Finally, we've cleaned up the logic used for unit testing, so we are
now correctly testing against the shadow JAR when the plugin is applied.
This better represents a real-world scenario for consumers and provides
better test coverage for incorrectly declared dependencies.
(cherry picked from commit 3698131109c7e78bdd3a3340707e1c7b4740d310)
Enables support for Cartesian geometries shape type. We still need to
decide how to handle the distance function since it is currently using
the haversine distance formula and returns results in meters, which
doesn't make any sense for Cartesian geometries.
Closes#46412
Relates to #43644
Improve the defensive behavior of ResultSet when dealing with incorrect
API usage. In particular handle the case of dealing with no row
available (either because the cursor is before the first entry or after
the last).
Fix#46750
(cherry picked from commit 58fa38e4606625962e879265d35eacb0960c6cdb)
Changes the order of parameters in Geometries from lat, lon to lon, lat
and moves all Geometry classes are moved to the
org.elasticsearch.geomtery package.
Backport of #45332Closes#45048
By default, we don't check ranges while indexing geo_shapes. As a
result, it is possible to index geoshapes that contain contain
coordinates outside of -90 +90 and -180 +180 ranges. Such geoshapes
will currently break SQL and ML retrieval mechanism. This commit removes
these restriction from the validator is used in SQL and ML retrieval.
Refactors the WKT and GeoJSON parsers from an utility class into an
instantiatable objects. This is a preliminary step in
preparation for moving out coordinate validators from Geometry
constructors. This should allow us to make validators plugable.
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
As empty string has a certain meaning, the JDBC driver returns an empty
set instead for better client compatibility.
Fix#41028
(cherry picked from commit 4cbafa585b7a514eb6c156606dd516324cd3980a)
* Replace usages RandomizedTestingTask with built-in Gradle Test (#40978)
This commit replaces the existing RandomizedTestingTask and supporting code with Gradle's built-in JUnit support via the Test task type. Additionally, the previous workaround to disable all tasks named "test" and create new unit testing tasks named "unitTest" has been removed such that the "test" task now runs unit tests as per the normal Gradle Java plugin conventions.
(cherry picked from commit 323f312bbc829a63056a79ebe45adced5099f6e6)
* Fix forking JVM runner
* Don't bump shadow plugin version
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)
Changed the JDBC metadata to return empty results sets instead of
throwing SQLFeatureNotSupported as it seems a more safer/compatible
approach for consumers.
Fix#40533
(cherry picked from commit ef2d2527c2b5140556fd477e7ff6ea36966684da)
TimeProcessor didn't implement `getWriteableName()` so the one from
the parent was used which returned the `NAME` of the parent. This
caused `TimeProcessor` objects to be deserialised into
DateTimeProcessor.
Moreover, added a restriction to run the TIME related integration tests
only in UTC timezone.
Fixes: #40717
(cherry picked from commit cfea348bec20e547df72c415cccd85279accb767)
Support ANSI SQL's TIME type by introductin a runtime-only
ES SQL time type.
Closes: #38174
(cherry picked from commit 046ccd4cf0a251b2a3ddff6b072ab539a6711900)
SYS TABLES meta command has been improved to better adhere to the ODBC
spec in particular with regards to the handling of enumerations (and
the differences between '%', null and ''(empty string))
Fix#40348
(cherry picked from commit e3070615000228c283d17ce8d182b44f1450a5d5)
Previously, `getTime(colIdx/colLabel)` and
`getObject(colIdx/colLabel, java.sql.Time.class)` methods were computing
the time from a `ZonedDateTime` by applying day in millis modulo on the epoch millis
of the `ZonedDateTime` object. This is wrong as we need to keep the time
related fields at the timezone of the `ZonedDateTime` object and just
set the date info to the epoch date (01/01/1970).
Additionally fixes a testing issue as the original timezone id is converted
to an offset string when parsing the response from the server.
Previously, `getDate(int columnIdx)/getDate(String columnLabel)` and
were using legacy`java.util.Calendar` instead of the the `java.time.*`
classes to reset to the start of day. This resulted in different results
for certain timestamps and timezones when calling
`getDate(col)` vs`getObject(col, java.sql.Date)`
Now only the methods (that must be implemented due to the JDBC spec)
`getDate(int columnIdx, Calendar cal)/getDate(String columnLabel, Calendar cal)`
are still using the `java.util.Calendar` for those conversion.
The same change was applied to
`getTime(int columnIdx)/getTime(String columnLabel)`
and
`getTimestamp(int columnIdx)/getTimestamp(String columnLabel)`
Fixes: #40289
(cherry picked from commit 44560671f18397e0c58e3647732880fcb73a5034)
Previously, calling getDate()/getTime()/getTimestamp() and getObject()
with the corresponding java.sql class on a column of SQL DATE type from
the JDBC result set would throw an Exception.
For cases where fields can have multi values, allow the behavior to be
customized through a dedicated configuration field.
By default this will be enabled on the drivers so that existing datasets
work instead of throwing an exception.
For regular SQL usage, the behavior is false so that the user is aware
of the underlying data.
Fix#39700
(cherry picked from commit 2b351571961f172fd59290ee079126bbd081ceaf)
Previously, JDBC's REST call to the server was always sending UTC
instead of the timezone passed through connection string/properties.
Moreover the conversion to java.sql.Date was problematic as a
calculation on the epoch millis was used to set the time to 00:00:00.000
and the timezone info was lost. This caused the resulting java.sql.Date
object which is always using the JVM's timezone (no matter what timezone
setting is used in the connection string/properties) to be wrongly created.
Fixes: #39915
* Add "columnar" option for REST requests (but be lenient for non-"plain"
modes) for json, yaml, smile and cbor formats.
* Updated documentation
(cherry picked from commit 5b7e0de237fb514d14a61a347bc669d4b4adbe56)
This defaults to "true" (current behavior) and will throw an exception
if there is a property that cannot be recognized. If "false", it will
ignore anything unrecognizable.
(cherry picked from commit 38fbf9792bcf4fe66bb3f17589e5fe6d29748d07)
* Added SSL configuration options tests
Removed the allow.self.signed option from the documentation since we allow
by default self signed certificates as well.
* Added more tests
* Add separate CLI Mode
* Use the correct Mode for cursor close requests
* Renamed CliFormatter and have different formatting behavior for CLI and "text" format.
* 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
As the internals have moved to java.time, the usage of TimeZone itself
should be minimized as it creates issues when being converted to ZoneId
Protocol wise the two are mostly identical so consumer should not see
any difference.
Note that terminology wise, inside the docs, the public API and inside
the protocol timeZone will continue to be used as it's more widely
understood as oppose to zoneId which is an implementation detail
specific to the JVM
Fix#36535
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
Ryan Ernst
Andrei Stefan
Jay Modi
Dimitris Athanasiou
Rory Hunter
Andrei Stefan
Mark Vieira
Alpar Torok
Igor Motov
Costin Leau
Nhat Nguyen
Marios Trivyzas
krisds