Compressed Big Decimal is an extension which provides support for
Mutable big decimal value that can be used to accumulate values
without losing precision or reallocating memory. This type helps in
absolute precision arithmetic on large numbers in applications,
where greater level of accuracy is required, such as financial
applications, currency based transactions. This helps avoid rounding
issues where in potentially large amount of money can be lost.
Accumulation requires that the two numbers have the same scale,
but does not require that they are of the same size. If the value
being accumulated has a larger underlying array than this value
(the result), then the higher order bits are dropped, similar to what
happens when adding a long to an int and storing the result in an
int. A compressed big decimal that holds its data with an embedded
array.
Compressed big decimal is an absolute number based complex type
based on big decimal in Java. This supports all the functionalities
supported by Java Big Decimal. Java Big Decimal is not mutable in
order to avoid big garbage collection issues. Compressed big decimal
is needed to mutate the value in the accumulator.
* apache#12063 Ease of hidding sensitive properties from /status/properties endpoint
* apache#12063 Ease of hidding sensitive properties from /status/properties endpoint
* apache#12063 Ease of hidding sensitive properties from /status/properties endpoint
using one property for hiding properties, updated the index.md to document hiddenProperties
* apache#12063 Ease of hidding sensitive properties from /status/properties endpoint
Added java docs
* apache#12063 Ease of hidding sensitive properties from /status/properties endpoint
Add "password", "key", "token", "pwd" as default druid.server.hiddenProperties
fixed typo and removed redundant space
Co-authored-by: zemin <zemin.piao@adyen.com>
Two improvements:
- Use a realistic targetRowsPerSegment, so if people copy and paste
the example from the docs, it will generate reasonable segments.
- Spell "countryName" correctly.
The docs say Java 17 support is experimental, and give tips on running
successfully with Java 17.
This patch also removes java.base/jdk.internal.perf and
jdk.management/com.sun.management.internal from the list of required
exports and opens, because they were formerly needed for JvmMonitor,
which was rewritten in #12481 to use MXBeans instead.
* FrameFile: Java 17 compatibility.
DataSketches Memory.map is not Java 17 compatible, and from discussions
with the team, is challenging to make compatible with 17 while also
retaining compatibility with 8 and 11. So, in this patch, we switch away
from Memory.map and instead use the builtin JDK mmap functionality. Since
it only supports maps up to Integer.MAX_VALUE, we also implement windowing
in FrameFile, such that we can still handle large files.
Other changes:
1) Add two new "map" functions to FileUtils, which we use in this patch.
2) Add a footer checksum to the FrameFile format. Individual frames
already have checksums, but the footer was missing one.
* Changes for static analysis.
* wip
* Fixes.
* Building druid-it-tools and running for travis in it.sh
* Addressing comments
* Updating druid-it-image pom to point to correct it-tools
* Updating all it-tools references to druid-it-tools
* Adding dist back to it.sh travis
* Trigger Build
* Disabling batchIndex tests and commenting out user specific code
* Fixing checkstyle and intellij inspection errors
* Replacing tabs with spaces in it.sh
* Enabling old batch index tests with indexer
* Fix accounting of bytesAdded in ReadableByteChunksFrameChannel.
Could cause WorkerInputChannelFactory to get into an infinite loop when
reading the footer of a frame file.
* Additional tests.
This dependency was no longer needed after #12481, but remained because
it was used for a (now useless) test. This patch removes the test and
the dependency.
Two changes:
1) Restore the text of the SQL query. It was removed in #12897, but
then it was later pointed out that the text is helpful for end
users querying Druid through tools that do not show the SQL queries
that they are making.
2) Adjust wording slightly, from "Cannot build plan for query" to
"Query not supported". This will be clearer to most users. Generally
the reason we get these errors is due to unsupported SQL constructs.
During ingestion, if a row containing multiple values for a numeric dimension is encountered,
the whole ingestion task fails. Ideally, this should just be registered as a parse exception.
Changes:
- Remove `instanceof List` check from `LongDimensionIndexer`, `FloatDimensionIndexer` and `DoubleDimensionIndexer`.
Any invalid type, including list, throws a parse exception in `DimensionHandlerUtils.convertObjectToXXX`
methods. `ParseException` is already handled in `OnHeapIncrementalIndex` and does not fail the entire task.
* json_value adjustments
changes:
* native json_value expression now has optional 3rd argument to specify type, which will cast all values to the specified type
* rework how JSON_VALUE is wired up in SQL. Now we are using a custom convertlet to translate JSON_VALUE(... RETURNING type) into dedicated JSON_VALUE_BIGINT, JSON_VALUE_DOUBLE, JSON_VALUE_VARCHAR, JSON_VALUE_ANY instead of using the calcite StandardConvertletTable that wraps JSON_VALUE_ANY in a CAST, so that we preserve the typing of JSON_VALUE to pass down to the native expression as the 3rd argument
* fix json_value_any to be usable by humans too, coverage
* fix bug
* checkstyle
* checkstyle
* review stuff
* validate that options to json_value are the supported options rather than ignore them
* remove more legacy undocumented functions
* KLL sketch
* added documentation
* direct static refs
* direct static refs
* fixed test
* addressed review points
* added KLL sketch related terms
* return a copy from get
* Copy unions when returning them from "get".
* Remove redundant "final".
Co-authored-by: AlexanderSaydakov <AlexanderSaydakov@users.noreply.github.com>
Co-authored-by: Gian Merlino <gianmerlino@gmail.com>
* Fixing RACE in HTTP remote task Runner
* Changes in the interface
* Updating documentation
* Adding test cases to SwitchingTaskLogStreamer
* Adding more tests
* MSQ web console
* fix typo in comments
* remove useless conditional
* wrap SQL_DATA_TYPES
* fixes sus regex
* rewrite regex
* remove problematic regex
* fix UTs
* convert PARTITIONED / CLUSTERED BY to ORDER BY for preview
* fix log
* updated to use shuffle
* Web console: Use Ace.Completion directly (#1405)
* Use Ace.Completion directly
* Another Ace.Completion
* better comment
* fix column ordering in e2e test
* add nested data example also
Co-authored-by: John Gozde <john.gozde@imply.io>
* Fix serialization in TaskReportFileWriters.
For some reason, serializing a Map<String, TaskReport> would omit the
"type" field. Explicitly sending each value through the ObjectMapper
fixes this, because the type information does not get lost.
* Fixes for static analysis.
This commit is a first draft of the revised integration test framework which provides:
- A new directory, integration-tests-ex that holds the new integration test structure. (For now, the existing integration-tests is left unchanged.)
- Maven module druid-it-tools to hold code placed into the Docker image.
- Maven module druid-it-image to build the Druid-only test image from the tarball produced in distribution. (Dependencies live in their "official" image.)
- Maven module druid-it-cases that holds the revised tests and the framework itself. The framework includes file-based test configuration, test-specific clients, test initialization and updated versions of some of the common test support classes.
The integration test setup is primarily a huge mass of details. This approach refactors many of those details: from how the image is built and configured to how the Docker Compose scripts are structured to test configuration. An extensive set of "readme" files explains those details. Rather than repeat that material here, please consult those files for explanations.
Fixes KafkaEmitter not emitting queryType for a native query. The Event to JSON serialization was extracted to the external class: EventToJsonSerializer. This was done to simplify the testing logic for the serialization as well as extract the responsibility of serialization to the separate class.
The logic builds ObjectNode incrementally based on the event .toMap method. Parsing each entry individually ensures that the Jackson polymorphic annotations are respected. Not respecting these annotation caused the missing of the queryType from output event.
Didip Kerabat
senthilkv
Abhishek Agarwal
zemin
Vadim Ogievetsky
Gian Merlino
Benedict Jin
abhagraw
wiquan
Kashif Faraz
Clint Wylie
Alexander Saydakov
Adam Peck
Junge
Karan Kumar
Lee Surprenant
Jill Osborne
Santosh Pingale
Victoria Lim
Paul Rogers
Bartosz Mikulski
Adarsh Sanjeev
William Hyun