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.
* Eliminate exclusion groups from pull-deps
* Only consider dependency nodes in pull-deps if they are not in the following scopes
* provided
* test
* system
* Fix a bunch of `<scope>provided</scope>` missing tags
* Better exclusions for a couple of problematic libs
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.
* Moves last run task state information to Worker
* Makes WorkerTaskRunner a TaskRunner which has interfaces to help with getting information about a Worker
- 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.*
* Don't put druid****selfcontained.jar at the end of the hadoop isolated classpath
* Add `<scope>provided</scope>` to prevent repeated dependency inclusion in the extension directories
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.
`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.
- fixes#1970
- extracted out segment handoff callbacks in SegmentHandoffNotifier
which is responsible for tracking segment handoffs and doing callbacks
when handoff is complete.
- Coordinator now maintains a view of segments in the cluster, this
will affect the jam heap requirements for the overlord for large
clusters.
realtime index task and nodes now use HTTP end points exposed by the
coordinator to get serverView
review comment
fix realtime node guide injection
review comments
make test not rely on scheduled exec
fix compilation
fix import
review comment
introduce immutableSegmentLoadInfo
fix son reading
remove unnecessary logging
This is a feature meant to allow realtime tasks to work without being told upfront
what shardSpec they should use (so we can potentially publish a variable number
of segments per interval).
The idea is that there is a "pendingSegments" table in the metadata store that
tracks allocated segments. Each one has a segment id (the same segment id we know
and love) and is also part of a sequence.
The sequences are an idea from @cheddar that offers a way of doing replication.
If there are N tasks reading exactly the same data with exactly the same logic
(think Kafka tasks reading a fixed range of offsets) then you can place them
in the same sequence, and they will generate the same sequence of segments.
Charles Allen
Gian Merlino
Slim
Slim Bouguerra
Jonathan Wei
Nishant
Himanshu Gupta
fjy
Bingkun Guo
Navis Ryu
Xavier Léauté
Parag Jain
Xavier Léauté