* from start to step 3 of Ingest data using Theta sketche
* updated upto "Query the Theta sketch column"
* fixed sentence
* another typo
* using sql ingestion instead of batch-sql
* waiting for explanations on DS_THETA
* Revert "using sql ingestion instead of batch-sql"
This reverts commit b95fcb9b32.
* Revert "using sql ingestion instead of batch-sql"
This reverts commit b95fcb9b32.
* just copy and pasting to where I was
* updated tutorial
* fixing images, and removing unused
* slightly updating explanatio
* Update docs/tutorials/tutorial-sketches-theta.md
* Apply suggestions from code review
Co-authored-by: Victoria Lim <vtlim@users.noreply.github.com>
* addressing comments in review
* made filter clause consitent with other instances
* Apply suggestions from code review
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
Co-authored-by: Victoria Lim <vtlim@users.noreply.github.com>
---------
Co-authored-by: Benedict Jin <asdf2014@apache.org>
Co-authored-by: Victoria Lim <vtlim@users.noreply.github.com>
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
changes:
adds ExpressionProcessing.allowVectorizeFallback() and ExpressionProcessingConfig.allowVectorizeFallback(), defaulting to false until few remaining bugs can be fixed (mostly complex types and some odd interactions with mixed types)
add cannotVectorizeUnlessFallback functions to make it easy to toggle the default of this config, and easy to know what to delete when we remove it in the future
Text-based input formats like csv and tsv currently parse inputs only as strings, following the RFC4180Parser spec).
To workaround this, the web-console and other tools need to further inspect the sample data returned to sample data returned by the Druid sampler API to parse them as numbers.
This patch introduces a new optional config, tryParseNumbers, for the csv and tsv input formats. If enabled, any numbers present in the input will be parsed in the following manner -- long data type for integer types and double for floating-point numbers, and if parsing fails for whatever reason, the input is treated as a string. By default, this configuration is set to false, so numeric strings will be treated as strings.
Implements threshold based automatic query prioritization using the time period of the actual segments scanned. This differs from the current implementation of durationThreshold which uses the duration in the user supplied query. There are some usability constraints with using durationThreshold from the user supplied query, especially when using SQL. For example, if a client does not explicitly specify both start and end timestamps then the duration is extremely large and will always exceed the configured durationThreshold. This is one example interval from a query that specifies no end timestamp:
"interval":["2024-08-30T08:05:41.944Z/146140482-04-24T15:36:27.903Z"]. This interval is generated from a query like SELECT * FROM table WHERE __time > CURRENT_TIMESTAMP - INTERVAL '15' HOUR. Using the time period of the actual segments scanned allows proper prioritization without explicitly having to specify start and end timestamps. This PR adds onto #9493
Problem
Currently, the delta input source only supports reading from the latest snapshot of the given Delta Lake table. This is a known documented limitation.
Description
Add support for reading Delta snapshot. By default, the Druid-Delta connector reads the latest snapshot of the Delta table in order to preserve compatibility. Users can specify a snapshotVersion to ingest change data events from Delta tables into Druid.
In the future, we can also add support for time-based snapshot reads. The Delta API to read time-based snapshots is not clear currently.
#15025 adds mergeBuffer/pendingRequests metric in QueryCountStatsMonitor. Since real-time nodes also use the same merge buffers for queries and have QueryCountStatsMonitor , the documentation is being updated to include this metric.
changes:
* Adds new `CompressedComplexColumn`, `CompressedComplexColumnSerializer`, `CompressedComplexColumnSupplier` based on `CompressedVariableSizedBlobColumn` used by JSON columns
* Adds `IndexSpec.complexMetricCompression` which can be used to specify compression for the generic compressed complex column. Defaults to uncompressed because compressed columns are not backwards compatible.
* Adds new definition of `ComplexMetricSerde.getSerializer` which accepts an `IndexSpec` argument when creating a serializer. The old signature has been marked `@Deprecated` and has a default implementation that returns `null`, but it will be used by the default implementation of the new version if it is implemented to return a non-null value. The default implementation of the new method will use a `CompressedComplexColumnSerializer` if `IndexSpec.complexMetricCompression` is not null/none/uncompressed, or will use `LargeColumnSupportedComplexColumnSerializer` otherwise.
* Removed all duplicate generic implementations of `ComplexMetricSerde.getSerializer` and `ComplexMetricSerde.deserializeColumn` into default implementations `ComplexMetricSerde` instead of being copied all over the place. The default implementation of `deserializeColumn` will check if the first byte indicates that the new compression was used, otherwise will use the `GenericIndexed` based supplier.
* Complex columns with custom serializers/deserializers are unaffected and may continue doing whatever it is they do, either with specialized compression or whatever else, this new stuff is just to provide generic implementations built around `ObjectStrategy`.
* add ObjectStrategy.readRetainsBufferReference so CompressedComplexColumn only copies on read if required
* add copyValueOnRead flag down to CompressedBlockReader to avoid buffer duplicate if the value needs copied anyway
* Linked back to query granularity docs
* Update ingestion-spec.md
clairfy about query granularities in the spec.
* Update docs/design/storage.md
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
* Update docs/ingestion/ingestion-spec.md
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
* Update docs/querying/granularities.md
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
* Apply suggestions from code review
---------
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
* Segments primarily sorted by non-time columns.
Currently, segments are always sorted by __time, followed by the sort
order provided by the user via dimensionsSpec or CLUSTERED BY. Sorting
by __time enables efficient execution of queries involving time-ordering
or granularity. Time-ordering is a simple matter of reading the rows in
stored order, and granular cursors can be generated in streaming fashion.
However, for various workloads, it's better for storage footprint and
query performance to sort by arbitrary orders that do not start with __time.
With this patch, users can sort segments by such orders.
For spec-based ingestion, users add "useExplicitSegmentSortOrder: true" to
dimensionsSpec. The "dimensions" list determines the sort order. To
define a sort order that includes "__time", users explicitly
include a dimension named "__time".
For SQL-based ingestion, users set the context parameter
"useExplicitSegmentSortOrder: true". The CLUSTERED BY clause is then
used as the explicit segment sort order.
In both cases, when the new "useExplicitSegmentSortOrder" parameter is
false (the default), __time is implicitly prepended to the sort order,
as it always was prior to this patch.
The new parameter is experimental for two main reasons. First, such
segments can cause errors when loaded by older servers, due to violating
their expectations that timestamps are always monotonically increasing.
Second, even on newer servers, not all queries can run on non-time-sorted
segments. Scan queries involving time-ordering and any query involving
granularity will not run. (To partially mitigate this, a currently-undocumented
SQL feature "sqlUseGranularity" is provided. When set to false the SQL planner
avoids using "granularity".)
Changes on the write path:
1) DimensionsSpec can now optionally contain a __time dimension, which
controls the placement of __time in the sort order. If not present,
__time is considered to be first in the sort order, as it has always
been.
2) IncrementalIndex and IndexMerger are updated to sort facts more
flexibly; not always by time first.
3) Metadata (stored in metadata.drd) gains a "sortOrder" field.
4) MSQ can generate range-based shard specs even when not all columns are
singly-valued strings. It merely stops accepting new clustering key
fields when it encounters the first one that isn't a singly-valued
string. This is useful because it enables range shard specs on
"someDim" to be created for clauses like "CLUSTERED BY someDim, __time".
Changes on the read path:
1) Add StorageAdapter#getSortOrder so query engines can tell how a
segment is sorted.
2) Update QueryableIndexStorageAdapter, IncrementalIndexStorageAdapter,
and VectorCursorGranularizer to throw errors when using granularities
on non-time-ordered segments.
3) Update ScanQueryEngine to throw an error when using the time-ordering
"order" parameter on non-time-ordered segments.
4) Update TimeBoundaryQueryRunnerFactory to perform a segment scan when
running on a non-time-ordered segment.
5) Add "sqlUseGranularity" context parameter that causes the SQL planner
to avoid using granularities other than ALL.
Other changes:
1) Rename DimensionsSpec "hasCustomDimensions" to "hasFixedDimensions"
and change the meaning subtly: it now returns true if the DimensionsSpec
represents an unchanging list of dimensions, or false if there is
some discovery happening. This is what call sites had expected anyway.
* Fixups from CI.
* Fixes.
* Fix missing arg.
* Additional changes.
* Fix logic.
* Fixes.
* Fix test.
* Adjust test.
* Remove throws.
* Fix styles.
* Fix javadocs.
* Cleanup.
* Smoother handling of null ordering.
* Fix tests.
* Missed a spot on the merge.
* Fixups.
* Avoid needless Filters.and.
* Add timeBoundaryInspector to test.
* Fix tests.
* Fix FrameStorageAdapterTest.
* Fix various tests.
* Use forceSegmentSortByTime instead of useExplicitSegmentSortOrder.
* Pom fix.
* Fix doc.
* just starting
* TIME_PARSE and TIME_FORMAT remaining
* fixing typo
* adding last two functions
* review sql-functions.md
* Apply suggestions from code review
Suggestions that were accepted as is
Co-authored-by: Katya Macedo <38017980+ektravel@users.noreply.github.com>
* Update docs/querying/sql-functions.md
Co-authored-by: Katya Macedo <38017980+ektravel@users.noreply.github.com>
* Update docs/querying/sql-functions.md
needed to confirm that it did indeed return as a number
Co-authored-by: Katya Macedo <38017980+ektravel@users.noreply.github.com>
* reviewing remaining suggestions
* addressing review for time_format
* Apply suggestions from code review
Accepted as is
Co-authored-by: Katya Macedo <38017980+ektravel@users.noreply.github.com>
* addressing final suggestion
* time_zone -> timezone
* timezone fix
---------
Co-authored-by: Katya Macedo <38017980+ektravel@users.noreply.github.com>
* Updated auth to use variables with default values
* Update docs/api-reference/sql-ingestion-api.md
* Remove Python auth entirely as its not being used
---------
Co-authored-by: Benedict Jin <asdf2014@apache.org>
Previously, SeekableStreamIndexTaskRunner set ingestion state to
COMPLETED when it finished reading data from Kafka. This is incorrect.
After the changes in this patch, the transitions go:
1) The task stays in BUILD_SEGMENTS after it finishes reading from Kafka,
while it is building its final set of segments to publish.
2) The task transitions to SEGMENT_AVAILABILITY_WAIT after publishing,
while waiting for handoff.
3) The task transitions to COMPLETED immediately before exiting, when
truly done.
* Lower,Upper,Lpad,Rpad,Parse_long
* up to REGEXP_EXTRACT
* batch 07 ready for review
* updated definitions in scalar
* Apply suggestions from code review
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
* rpad and lpad
* addressing comments
* minor fixes
* improving examples based on suggestions
* matched -> matches
* correcting typo
* Apply suggestions from code review
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
---------
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
Shivam Garg
anny-imply
Charles Smith
Edgar Melendrez
317brian
Clint Wylie
Sree Charan Manamala
Victoria Lim
Atul Mohan
Adithya Chakilam
Abhishek Radhakrishnan
Pranav
Katya Macedo
Lasse Mammen
George Shiqi Wu
aho135
Virushade
Edgar Melendrez
Jill Osborne
Hugh Evans
Hardik Bajaj
Vadim Ogievetsky
Gian Merlino
AmatyaAvadhanula
benkrug
Jakub Matyszewski