* Druid automated quickstart
* remove conf/druid/single-server/quickstart/_common/historical/jvm.config
* Minor changes in python script
* Add lower bound memory for some services
* Additional runtime properties for services
* Update supervise script to accept command arguments, corresponding changes in druid-quickstart.py
* File end newline
* Limit the ability to start multiple instances of a service, documentation changes
* simplify script arguments
* restore changes in medium profile
* run-druid refactor
* compute and pass middle manager runtime properties to run-druid
supervise script changes to process java opts array
use argparse, leave free memory, logging
* Remove extra quotes from mm task javaopts array
* Update logic to compute minimum memory
* simplify run-druid
* remove debug options from run-druid
* resolve the config_path provided
* comment out service specific runtime properties which are computed in the code
* simplify run-druid
* clean up docs, naming changes
* Throw ValueError exception on illegal state
* update docs
* rename args, compute_only -> compute, run_zk -> zk
* update help documentation
* update help documentation
* move task memory computation into separate method
* Add validation checks
* remove print
* Add validations
* remove start-druid bash script, rename start-druid-main
* Include tasks in lower bound memory calculation
* Fix test
* 256m instead of 256g
* caffeine cache uses 5% of heap
* ensure min task count is 2, task count is monotonic
* update configs and documentation for runtime props in conf/druid/single-server/quickstart
* Update docs
* Specify memory argument for each profile in single-server.md
* Update middleManager runtime.properties
* Move quickstart configs to conf/druid/base, add bash launch script, support python2
* Update supervise script
* rename base config directory to auto
* rename python script, changes to pass repeated args to supervise
* remove exmaples/conf/druid/base dir
* add docs
* restore changes in conf dir
* update start-druid-auto
* remove hashref for commands in supervise script
* start-druid-main java_opts array is comma separated
* update entry point script name in python script
* Update help docs
* documentation changes
* docs changes
* update docs
* add support for running indexer
* update supported services list
* update help
* Update python.md
* remove dir
* update .spelling
* Remove dependency on psutil and pathlib
* update docs
* Update get_physical_memory method
* Update help docs
* update docs
* update method to get physical memory on python
* udpate spelling
* update .spelling
* minor change
* Minor change
* memory comptuation for indexer
* update start-druid
* Update python.md
* Update single-server.md
* Update python.md
* run python3 --version to check if python is installed
* Update supervise script
* start-druid: echo message if python not found
* update anchor text
* minor change
* Update condition in supervise script
* JVM not jvm in docs
* add padding and keywords
* add arrayOfDoubles
* Update docs/development/extensions-core/datasketches-tuple.md
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
* Update docs/development/extensions-core/datasketches-tuple.md
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
* Update docs/development/extensions-core/datasketches-tuple.md
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
* Update docs/development/extensions-core/datasketches-tuple.md
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
* Update docs/development/extensions-core/datasketches-tuple.md
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
* partiton int
* fix docs
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
The batch segment sampling performs significantly better than the older method
of sampling if there are a large number of used segments. It also avoids duplicates.
Changes:
- Make batch segment sampling the default
- Deprecate the property `useBatchedSegmentSampler`
- Remove unused coordinator config `druid.coordinator.loadqueuepeon.repeatDelay`
- Cleanup `KillUnusedSegments`
- Simplify `KillUnusedSegmentsTest`, add better tests, remove redundant tests
Segment assignments can take very long due to the strategy cost computation
for a large number of segments. This commit allows segment assignments to be
done in a round-robin fashion within a tier. Only segment balancing takes cost-based
decisions to move segments around.
Changes
- Add dynamic config `useRoundRobinSegmentAssignment` with default value false
- Add `RoundRobinServerSelector`. This does not implement the `BalancerStrategy`
as it does not conform to that contract and may also be used in conjunction with a
strategy (round-robin for `RunRules` and a cost strategy for `BalanceSegments`)
- Drops are still cost-based even when round-robin assignment is enabled.
* remove old query view
* update tests
* add filter
* fix test
* bump d3 things to latest versions
* rent too far into the future with d3
* make config dialogs load
* goodies
* update snapshots
* only compute duration when running or pending
* 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>
Kinesis ingestion requires all shards to have at least 1 record at the required position in druid.
Even if this is satisified initially, resharding the stream can lead to empty intermediate shards. A significant delay in writing to newly created shards was also problematic.
Kinesis shard sequence numbers are big integers. Introduce two more custom sequence tokens UNREAD_TRIM_HORIZON and UNREAD_LATEST to indicate that a shard has not been read from and that it needs to be read from the start or the end respectively.
These values can be used to avoid the need to read at least one record to obtain a sequence number for ingesting a newly discovered shard.
If a record cannot be obtained immediately, use a marker to obtain the relevant shardIterator and use this shardIterator to obtain a valid sequence number. As long as a valid sequence number is not obtained, continue storing the token as the offset.
These tokens (UNREAD_TRIM_HORIZON and UNREAD_LATEST) are logically ordered to be earlier than any valid sequence number.
However, the ordering requires a few subtle changes to the existing mechanism for record sequence validation:
The sequence availability check ensures that the current offset is before the earliest available sequence in the shard. However, current token being an UNREAD token indicates that any sequence number in the shard is valid (despite the ordering)
Kinesis sequence numbers are inclusive i.e if current sequence == end sequence, there are more records left to read.
However, the equality check is exclusive when dealing with UNREAD tokens.
* Improved Java 17 support and Java runtime docs.
1) Add a "Java runtime" doc page with information about supported
Java versions, garbage collection, and strong encapsulation..
2) Update asm and equalsverifier to versions that support Java 17.
3) Add additional "--add-opens" lines to surefire configuration, so
tests can pass successfully under Java 17.
4) Switch openjdk15 tests to openjdk17.
5) Update FrameFile to specifically mention Java runtime incompatibility
as the cause of not being able to use Memory.map.
6) Update SegmentLoadDropHandler to log an error for Errors too, not
just Exceptions. This is important because an IllegalAccessError is
encountered when the correct "--add-opens" line is not provided,
which would otherwise be silently ignored.
7) Update example configs to use druid.indexer.runner.javaOptsArray
instead of druid.indexer.runner.javaOpts. (The latter is deprecated.)
* Adjustments.
* Use run-java in more places.
* Add run-java.
* Update .gitignore.
* Exclude hadoop-client-api.
Brought in when building on Java 17.
* Swap one more usage of java.
* Fix the run-java script.
* Fix flag.
* Include link to Temurin.
* Spelling.
* Update examples/bin/run-java
Co-authored-by: Xavier Léauté <xl+github@xvrl.net>
Co-authored-by: Xavier Léauté <xl+github@xvrl.net>
* Update blueprint dependencies & LICENSES
* Switch to bp4 namespace; use bp-ns variable in overrides
* Add webpack alias for colors.scss
* Snapshots
* Update selectors in e2e tests
The current default value of inputSegmentSizeBytes is 400MB, which is pretty
low for most compaction use cases. Thus most users are forced to override the
default.
The default value is now increased to Long.MAX_VALUE.
There aren't any changes in this patch that improve Java 11
compatibility; these changes have already been done separately. This
patch merely updates documentation and explicit Java version checks.
The log message adjustments in DruidProcessingConfig are there to make
things a little nicer when running in Java 11, where we can't measure
direct memory _directly_, and so we may auto-size processing buffers
incorrectly.
* refactor and link fixes
* add sql docs to left nav
* code format for needle
* updated web console script
* link fixes
* update earliest/latest functions
* edits for grammar and style
* more link fixes
* another link
* update with #12226
* update .spelling file
* clean up the balancing code around the batched vs deprecated way of sampling segments to balance
* fix docs, clarify comments, add deprecated annotations to legacy code
* remove unused variable
* update dynamic config dialog in console to state percentOfSegmentsToConsiderPerMove deprecated
* fix dynamic config text for percentOfSegmentsToConsiderPerMove
* run prettier to cleanup coordinator-dynamic-config.tsx changes
* update jest snapshot
* update documentation per review feedback
* add-info-for-compation-config-dialog
* correct the info
* remove space typo
* Revert "remove space typo"
This reverts commit 28b28733ae.
* remove typo space
* update snapshots for jest-test
Vadim Ogievetsky
Rishabh Singh
dependabot[bot]
Kashif Faraz
Margaret Brewster
Abhishek Agarwal
Lee Surprenant
Clint Wylie
AmatyaAvadhanula
Gian Merlino
Yuanli Han
Rohan Garg
Atul Mohan
John Gozde
Tejaswini Bandlamudi
Gian Merlino
Victoria Lim
AshishKapoor
aggarwalakshay
Lucas Capistrant
andreacyc