- Introduce `AuthorizationInfo` interface, specific implementations of which would be provided by extensions
- If the `druid.auth.enabled` is set to `true` then the `isAuthorized` method of `AuthorizationInfo` will be called to perform authorization checks
- `AuthorizationInfo` object will be created in the servlet filters of specific extension and will be passed as a request attribute with attribute name as `AuthConfig.DRUID_AUTH_TOKEN`
- As per the scope of this PR, all resources that needs to be secured are divided into 3 types - `DATASOURCE`, `CONFIG` and `STATE`. For any type of resource, possible actions are - `READ` or `WRITE`
- Specific ResourceFilters are used to perform auth checks for all endpoints that corresponds to a specific resource type. This prevents duplication of logic and need to inject HttpServletRequest inside each endpoint. For example
- `DatasourceResourceFilter` is used for endpoints where the datasource information is present after "datasources" segment in the request Path such as `/druid/coordinator/v1/datasources/`, `/druid/coordinator/v1/metadata/datasources/`, `/druid/v2/datasources/`
- `RulesResourceFilter` is used where the datasource information is present after "rules" segment in the request Path such as `/druid/coordinator/v1/rules/`
- `TaskResourceFilter` is used for endpoints is used where the datasource information is present after "task" segment in the request Path such as `druid/indexer/v1/task`
- `ConfigResourceFilter` is used for endpoints like `/druid/coordinator/v1/config`, `/druid/indexer/v1/worker`, `/druid/worker/v1` etc
- `StateResourceFilter` is used for endpoints like `/druid/broker/v1/loadstatus`, `/druid/coordinator/v1/leader`, `/druid/coordinator/v1/loadqueue`, `/druid/coordinator/v1/rules` etc
- For endpoints where a list of resources is returned like `/druid/coordinator/v1/datasources`, `/druid/indexer/v1/completeTasks` etc. the list is filtered to return only the resources to which the requested user has access. In these cases, `HttpServletRequest` instance needs to be injected in the endpoint method.
Note -
JAX-RS specification provides an interface called `SecurityContext`. However, we did not use this but provided our own interface `AuthorizationInfo` mainly because it provides more flexibility. For example, `SecurityContext` has a method called `isUserInRole(String role)` which would be used for auth checks and if used then the mapping of what roles can access what resource needs to be modeled inside Druid either using some convention or some other means which is not very flexible as Druid has dynamic resources like datasources. Fixes#2355 with PR #2424
* Add back FilteredServerView removed in a32906c7fd11c9a8554df2621a172353a523a9dd 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.
Avoids the following message from being printed on Overlord startup:
WARNING: Parameter 1 of type io.druid.indexing.common.actions.TaskActionHolder<T> from
public <T> javax.ws.rs.core.Response io.druid.indexing.overlord.http.OverlordResource.doAction
(io.druid.indexing.common.actions.TaskActionHolder<T>) is not resolvable to a concrete type
This PR changes the retry of task actions to be a bit more aggressive
by reducing the maxWait. Current defaults were 1 min to 10 mins, which
lead to a very delayed recovery in case there are any transient network
issues between the overlord and the peons.
doc changes.
- It's okay to suppress InterruptedException during graceful shutdown, as
tasks may use it to accelerate their own shutdown.
- It's okay to ignore return statuses during graceful shutdown (which may
be FAILED!) because it actually doesn't matter what they are.
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.
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 TaskLocation class
- Add registerListener to TaskRunner
- Add getLocation to TaskRunnerWorkItem
- Implement location tracking in existing TaskRunners
- Rework WorkerTaskMonitor to do management out of a single thread so it can
handle status and location updates more simply.
