* Rename io.druid to org.apache.druid.
* Fix META-INF files and remove some benchmark results.
* MonitorsConfig update for metrics package migration.
* Reorder some dimensions in inner queries for some reason.
* Fix protobuf tests.
* 'shutdownAllTasks' API for a dataSource
Change-Id: I30d14390457d39e0427d23a48f4f224223dc5777
* fix api path and return
Change-Id: Ib463f31ee2c4cb168cf2697f149be845b57c42e5
* optimize implementation
Change-Id: I50a8dcd44dd9d36c9ecbfa78e103eb9bff32eab9
* Cache: Add maxEntrySize config.
The idea is this makes it more feasible to cache query types that
can potentially generate large result sets, like groupBy and select,
without fear of writing too much to the cache per query.
Includes a refactor of cache population code in CachingQueryRunner and
CachingClusteredClient, such that they now use the same CachePopulator
interface with two implementations: one for foreground and one for
background.
The main reason for splitting the foreground / background impls is
that the foreground impl can have a more effective implementation of
maxEntrySize. It can stop retaining subvalues for the cache early.
* Add CachePopulatorStats.
* Fix whitespace.
* Fix docs.
* Fix various tests.
* Add tests.
* Fix tests.
* Better tests
* Remove conflict markers.
* Fix licenses.
* Update defaultHadoopCoordinates in documentation.
To match changes applied in #5382.
* Remove a parameter with defaults from example configuration file.
If it has reasonable defaults, then why would it be in an example config file?
Also, it is yet another place that has been forgotten to be updated and will be forgotten in the future.
Also, if someone is running different hadoop version, then there's much more work to be done than just changing this property, so why give users false hopes?
* Fix typo in documentation.
* Add task action metrics, add taskId metric dimension.
Adds two new metrics: task/action/log/time and task/action/run/time. Also
adds taskId as a dimension, to give us the ability to drill down into metrics
for an individual task. Also standardizes metrics-attachment using two helper
methods in IndexTaskUtils.
* Fix typo
* remove ServerConfig from DruidNode as all information needs to be present in DruidNode serialized form
* sanitize output of /druid/coordinator/v1/cluster endpoint
* rolling upgrade order change to bring coordinator and overlord together
* mentioned merged Coordinator-Overlord in upgrade order doc
* revert autoscaling doc change
* auto scaling doc fix
* NN optimization for hdfs data segments.
* HdfsDataSegmentKiller, HdfsDataSegment finder changes to use new storage
format.Docs update.
* Common utility function in DataSegmentPusherUtil.
* new static method `makeSegmentOutputPathUptoVersionForHdfs` in JobHelper
* reuse getHdfsStorageDirUptoVersion in
DataSegmentPusherUtil.getHdfsStorageDir()
* Addressed comments.
* Review comments.
* HdfsDataSegmentKiller requested changes.
* extra newline
* Add maprfs.
* Add metrics for Query Count statistics
This PR adds a new metrics monitor “QueryCountStatsMonitor” which emits
three new metrics -
1) query/success/count - number of successful queries
2) query/failed/count - number of failed queries
3) query/interrupted/count - number of interrupted/timedout queries
fix bindings
* make fields final
* fix imports
* AsyncQueryForwardingServlet implement QueryStatsProvider
* remove unused import
* report message gap, source gap and sink count in RealtimePlumber
* report message gap, sink count in Appenderator
* add ingest/events/sourceGap in metrics.md
* remove source gap
* support finding segments from a AWS S3 storage.
* add more Uts
* address comments and add a document for the feature.
* update docs indentation
* update docs indentation
* address comments.
1. add a Ut for json ser/deser for the config object.
2. more informant error message in a Ut.
* address comments.
1. use @Min to validate the configuration object
2. change updateDescriptor to a string as it does not take an argument otherwise
* fix a Ut failure - delete a Ut for testing default max length.
- Attempt to make things clearer in general
- Point out that HDFS deep storage and MR jobs don't use the same loading mechanism
- Recommend using mapreduce.job.classloader = true when possible
Jihoon Son
Caroline1000
Jonathan Wei
QiuMM
Gian Merlino
Hongze Zhang
Kirill Kozlov
kaijianding
Jakub Kukul
David Lim
Himanshu
Parag Jain
Parag Jain
Akash Dwivedi
Nishant
jaehong choi
Ashish
Chanh Le
Fangjin Yang
Charles Allen