* Avoids fetching all segment records into heap by JDBC driver
* Set connection to read-only to help database optimize queries
* Update JDBC drivers (MySQL has fixes for streaming results)
* Add back FilteredServerView removed in a32906c7fd to reduce memory usage using watched tiers.
* Add functionality to specify "druid.broker.segment.watchedDataSources"
segment creation deterministic.
This means that each segment will contain data from just one Kafka
partition. So, users will probably not want to have a super high number
of Kafka partitions...
Fixes#2703.
Reverts "Update com.maxmind.geoip2 to 2.6.0" and exclude the google http client
from com.maxmind.geoip2. This should satisfy the original need from #2646 (wanting
to run Druid along with an upgraded com.google.http-client) while preventing
Jackson conflicts pointed out in #2717.
Fixes#2717.
This reverts commit 21b7572533.
Fixes#2682
IndexingService helpers are added according to the settings in runtime.properties.
Rather than having all the config.isXXX checks there, it makes sense to have a pluggable
approach for allowing the dynamic configuration to bring in implementations for helpers
without having to have hard-coded sets of available helpers. Plus, it will also make it possible for extensions to plug helpers in.
With https://github.com/druid-io/druid-api/pull/76, we could conditionally bind a helper to Coordinator's runlist.
The condition is driven by the value set in the runtime.properties.
I believe that the instanceof chain in Filters exists because in the past, Filter
and DimFilter were in different packages (DimFilter was in druid-client and Filter
was in druid-processing). And since druid-client didn't depend on druid-processing,
DimFilter couldn't have a toFilter method. But now it can.
com.maxmind.geoip2 2.6.0 depends on com.google.http-client 1.15.0-rc (3 years old).
When trying to include other libraries in Druid that require an up to date version of com.google.http-client this causes a problem.
Geared towards supporting transactional inserts of new segments. This involves an
interface "DataSourceMetadata" that allows combining of partially specified metadata
(useful for partitioned ingestion).
DataSource metadata is stored in a new "dataSource" table.
Appenderators are a way of getting more control over the ingestion process
than a Plumber allows. The idea is that existing Plumbers could be implemented
using Appenderators, but you could also implement things that Plumbers can't do.
FiniteAppenderatorDrivers help simplify indexing a finite stream of data.
Also:
- Sink: Ability to consider itself "finished" vs "still writable".
- Sink: Ability to return the number of rows contained within the sink.
The incremental indexes handle that now so it's not necessary.
Also, add debug logging and more detailed exceptions to the incremental
indexes for the case where there are parse exceptions during aggregation.
After finding the FireChief for a specific partition, Druid will need to find the specific queryRunner for each segment being queried by passing the query to FireChief. Currently Druid is passing the original query that contains all the segments need to be queried, it's possible that fireChief.getQueryRunner(query) returns more than 1 queryRunner because query.getIntervals() is not specific to a single segment.
In this patch, for each segment being queried, Druid will update the query with its corresponding SpecificSegmentSpec.
See stack traces here, from current master: https://gist.github.com/gianm/bd9a66c826995f97fc8f
1. The thread "qtp925672150-62" holds the lock on InternalInjectorCreator.class,
used by Scopes.SINGLETON, and wants the lock on "handlers" in Lifecycle.addMaybeStartHandler
called by DiscoveryModule.getServiceAnnouncer.
2. The main thread holds the lock on "handlers" in Lifecycle.addMaybeStartHandler, which it
took because it's trying to add the ExecutorLifecycle to the lifecycle. main is trying
to get the InternalInjectorCreator.class lock because it's running ExecutorLifecycle.start,
which does some Jackson deserialization, and Jackson needs that lock in order to inject
stuff into the Task it's deserializing.
This patch eagerly instantiates ChatHandlerResource (which I believe is what's trying to
create the ServiceAnnouncer in the qtp925672150-62 jetty thread) and the ExecutorLifecycle.
To bring consistency to docs and source this commit changes the default
values for maxRowsInMemory and rowFlushBoundary to 75000 after
discussion in PR https://github.com/druid-io/druid/pull/2457.
The previous default was 500000 and it's lower now on the grounds that
it's better for a default to be somewhat less efficient, and work,
than to reach for the stars and possibly result in
"OutOfMemoryError: java heap space" errors.
Add tests that verify whether RealtimeManager is querying the correct FireChief for a specific partition
make FireChief static and package private, add latches in the UT
Two changes:
- Allow IncrementalIndex to suppress ParseExceptions on "aggregate".
- Add "reportParseExceptions" option to realtime tuning configs. By default this is "false".
Behavior of the counters should now be:
- processed: Number of rows indexed, including rows where some fields could be parsed and some could not.
- thrownAway: Number of rows thrown away due to rejection policy.
- unparseable: Number of rows thrown away due to being completely unparseable (no fields salvageable at all).
If "reportParseExceptions" is true then "unparseable" will always be zero (because a parse error would
cause an exception to be thrown). In addition, "processed" will only include fully parseable rows
(because even partial parse failures will cause exceptions to be thrown).
Fixes#2510.
- Add druid.indexer.server.maxChatRequests, which sets up a QoSFilter on the main Jetty server.
- Deprecate druid.indexer.runner.separateIngestionEndpoint
- Deprecate druid.indexer.server.chathandler.*
- Throw most exceptions rather than suppressing them, which should help
detect problems. Continue suppressing exceptions that make sense to
suppress.
- Handle payload length checks consistently, and improve error message.
- Remove unused WorkerCuratorCoordinator.announceTaskAnnouncement method.
- Max znode length should be int, not long.
- Add tests.
* Defaults the thread priority to java.util.Thread.NORM_PRIORITY in io.druid.indexing.common.task.AbstractTask
* Each exec service has its own Task Factory which is assigned a priority for spawned task. Therefore each priority class has a unique exec service
* Added priority to tasks as taskPriority in the task context. <0 means low, 0 means take default, >0 means high. It is up to any particular implementation to determine how to handle these numbers
* Add options to ForkingTaskRunner
* Add "-XX:+UseThreadPriorities" default option
* Add "-XX:ThreadPriorityPolicy=42" default option
* AbstractTask - Removed unneded @JsonIgnore on priority
* Added priority to RealtimePlumber executors. All sub-executors (non query runners) get Thread.MIN_PRIORITY
* Add persistThreadPriority and mergeThreadPriority to realtime tuning config
Historical will drop a segment that shouldn't be dropped in the following scenario:
Historical node tried to load segmentA, but failed with SegmentLoadingException,
then ZkCoordinator called removeSegment(segmentA, blah) to schedule a runnable that would drop segmentA by deleting its files. Now, before that runnable executed, another LOAD request was sent to this historical, this time historical actually succeeded on loading segmentA and announced it. But later on, the scheduled drop-of-segment runnable started executing and removed the segment files, while historical is still announcing segmentA.
When one of the tiers have no servers, LoadRule should ignore that tier
and continue to load/drop segments in other available tiers.
the bug also causes whacky behavior with LoadRule with non existent
tier where the segment balancer keeps on moving segments to other nodes
in existing tiers but the extra segment copies are never dropped
eventually leading to all the tiers getting full .
`insert-segment-to-db` is a tool that can insert segments into Druid metadata storage. It is intended to be used
to update the segment table in metadata storage after people manually migrate segments from one place to another.
It can also be used to insert missing segment into Druid, or even recover metadata storage by telling it where the
segments are stored.
Note: This tool expects users to have Druid cluster running in a "safe" mode, where there are no active tasks to interfere
the segments being inserted. Users can optionally bring down the cluster to make 100% sure nothing is interfering.
Xavier Léauté
Nishant
Gian Merlino
Jisoo Kim
binlijin
Fangjin Yang
Himanshu Gupta
Xavier Léauté
jon-wei
Parag Jain
Charles Allen
jisookim
Bingkun Guo
kilida
Parag Jain
Jonathan Wei
navis.ryu
rasahner
Erik Dubbelboer
Slim Bouguerra
David Lim
Björn Zettergren
Eric Tschetter
Harsh Jain
Himank Chaudhary
Charles Allen
Jaehong Choi
Kurt Young
Anubhav Gupta
Robin
Nikita Geer