* Remove unused constants
* Refactor getBlockBlobLength
* Better link
* Upper-case log
* Mark defaultStorageAccount nullable
This is the case if you do not use Azure for deep-storage but ingest from Azure blobs.
* Do not always create a new container if it doesn't exist
Specifically, only create a container if uploading a blob or writing a blob stream
* Add lots of comments, group methods
* Revert "Mark defaultStorageAccount nullable"
* Add mockito for junit
* Add extra test
* Add comment
Thanks George.
* Pass blockSize as Long
* Test more branches...
* Optimise S3 storage writing for MSQ durable storage
* Get rid of static ConcurrentHashMap
* Fix static checks
* Fix tests
* Remove unused constructor parameter chunkValidation + relevant cleanup
* Assert etags as String instead of Integer
* Fix flaky test
* Inject executor service
* Make threadpool size dynamic based on number of cores
* Fix S3StorageDruidModuleTest
* Fix S3StorageConnectorProviderTest
* Fix injection issues
* Add S3UploadConfig to manage maximum number of concurrent chunks dynamically based on chunk size
* Address the minor review comments
* Refactor S3UploadConfig + ExecutorService into S3UploadManager
* Address review comments
* Make updateChunkSizeIfGreater() synchronized instead of recomputeMaxConcurrentNumChunks()
* Address the minor review comments
* Fix intellij-inspections check
* Refactor code to use futures for maxNumConcurrentChunks. Also use executor service with blocking queue for backpressure semantics.
* Update javadoc
* Get rid of cyclic dependency injection between S3UploadManager and S3OutputConfig
* Fix RetryableS3OutputStreamTest
* Remove unnecessary synchronization parts from RetryableS3OutputStream
* Update javadoc
* Add S3UploadManagerTest
* Revert back to S3StorageConnectorProvider extends S3OutputConfig
* Address Karan's review comments
* Address Kashif's review comments
* Change a log message to debug
* Address review comments
* Fix intellij-inspections check
* Fix checkstyle
---------
Co-authored-by: asdf2014 <asdf2014@apache.org>
Changes:
- Loosely followed the steps in the migration guide at
https://junit.org/junit5/docs/current/user-guide/#migrating-from-junit4
- Updated POM to add JUnit 5 dependencies
- Updated imports to JUnit 5 packages
- Updated annotations (Lifecycle annotations like `@BeforeEach`)
- Updated exception testing (`assertThrows`)
- Updated temporary path handling (use `@TempDir` annotation)
- Various other updates (replace other `Rule` usages, make sure to use JUnit 5 assertions)
* Add support for AzureDNSZone enabled storage accounts used for deep storage
Added a new config to AzureAccountConfig
`storageAccountEndpointSuffix`
which allows the user to specify a storage account endpoint suffix where the underlying
storage account is enabled for AzureDNSZone. The previous config `endpointSuffix`, did not allow
support for such accounts. The previous config has been deprecated in favor of this new config. Also
fixed an issue where `managedIdentityClientId` was not being set properly
* * address review comments
* * add back azure government link and docs
Added support for Azure Government storage in Druid Azure-Extensions. This enhancement allows the Azure-Extensions to be compatible with different Azure storage types by updating the endpoint suffix from a hardcoded value to a configurable one.
* Add system fields to input sources.
Main changes:
1) The SystemField enum defines system fields "__file_uri", "__file_path",
and "__file_bucket". They are associated with each input entity.
2) The SystemFieldInputSource interface can be added to any InputSource
to make it system-field-capable. It sets up serialization of a list
of configured "systemFields" in the JSON form of the input source, and
provides a method getSystemFieldValue for computing the value of each
system field. Cloud object, HDFS, HTTP, and Local now have this.
* Fix various LocalInputSource calls.
* Fix style stuff.
* Fixups.
* Fix tests and coverage.
The Azure connector is introduced and MSQ's fault tolerance and durable storage can now be used with Microsoft Azure's blob storage. Also, the results of newly introduced queries from deep storage can now store and fetch the results from Azure's blob storage.
### Description
This change allows for consideration of the input format and compression when computing how to split the input files among available tasks, in MSQ ingestion, when considering the value of the `maxInputBytesPerWorker` query context parameter. This query parameter allows users to control the maximum number of bytes, with granularity of input file / object, that ingestion tasks will be assigned to ingest. With this change, this context parameter now denotes the estimated weighted size in bytes of the input to split on, with consideration for input format and compression format, rather than the actual file size, reported by the file system. We assume uncompressed newline delimited json as a baseline, with scaling factor of `1`. This means that when computing the byte weight that a file has towards the input splitting, we take the file size as is, if uncompressed json, 1:1. It was found during testing that gzip compressed json, and parquet, has scale factors of `4` and `8` respectively, meaning that each byte of data is weighted 4x and 8x respectively, when computing input splits. This weighted byte scaling is only considered for MSQ ingestion that uses either LocalInputSource or CloudObjectInputSource at the moment. The default value of the `maxInputBytesPerWorker` query context parameter has been updated from 10 GiB, to 512 MiB
* return task status reported by peon
* Write TaskStatus to file in AbstractTask.cleanUp
* Get TaskStatus from task log
* Fix merge conflicts in AbstractTaskTest
* Add unit tests for TaskLogPusher, TaskLogStreamer, NoopTaskLogs to satisfy code coverage
* Add license headerss
* Fix style
* Remove unknown exception declarations
Fixes#13837.
### Description
This change allows for input source type security in the native task layer.
To enable this feature, the user must set the following property to true:
`druid.auth.enableInputSourceSecurity=true`
The default value for this property is false, which will continue the existing functionality of needing authorization to write to the respective datasource.
When this config is enabled, the users will be required to be authorized for the following resource action, in addition to write permission on the respective datasource.
`new ResourceAction(new Resource(ResourceType.EXTERNAL, {INPUT_SOURCE_TYPE}, Action.READ`
where `{INPUT_SOURCE_TYPE}` is the type of the input source being used;, http, inline, s3, etc..
Only tasks that provide a non-default implementation of the `getInputSourceResources` method can be submitted when config `druid.auth.enableInputSourceSecurity=true` is set. Otherwise, a 400 error will be thrown.
* Always use file sizes when determining batch ingest splits.
Main changes:
1) Update CloudObjectInputSource and its subclasses (S3, GCS,
Azure, Aliyun OSS) to use SplitHintSpecs in all cases. Previously, they
were only used for prefixes, not uris or objects.
2) Update ExternalInputSpecSlicer (MSQ) to consider file size. Previously,
file size was ignored; all files were treated as equal weight when
determining splits.
A side effect of these changes is that we'll make additional network
calls to find the sizes of objects when users specify URIs or objects
as opposed to prefixes. IMO, this is worth it because it's the only way
to respect the user's split hint and task assignment settings.
Secondary changes:
1) S3, Aliyun OSS: Use getObjectMetadata instead of listObjects to get
metadata for a single object. This is a simpler call that is also
expected to be less expensive.
2) Azure: Fix a bug where getBlobLength did not populate blob
reference attributes, and therefore would not actually retrieve the
blob length.
3) MSQ: Align dynamic slicing logic between ExternalInputSpecSlicer and
TableInputSpecSlicer.
4) MSQ: Adjust WorkerInputs to ensure there is always at least one
worker, even if it has a nil slice.
* Add msqCompatible to testGroupByWithImpossibleTimeFilter.
* Fix tests.
* Add additional tests.
* Remove unused stuff.
* Remove more unused stuff.
* Adjust thresholds.
* Remove irrelevant test.
* Fix comments.
* Fix bug.
* Updates.
The FiniteFirehoseFactory and InputRowParser classes were deprecated in 0.17.0 (#8823) in favor of InputSource & InputFormat. This PR removes the FiniteFirehoseFactory and all its implementations along with classes solely used by them like Fetcher (Used by PrefetchableTextFilesFirehoseFactory). Refactors classes including tests using FiniteFirehoseFactory to use InputSource instead.
Removing InputRowParser may not be as trivial as many classes that aren't deprecated depends on it (with no alternatives), like EventReceiverFirehoseFactory. Hence FirehoseFactory, EventReceiverFirehoseFactory, and Firehose are marked deprecated.
https://github.com/apache/druid/pull/13027 PR replaces `filter` parameter with
`objectGlob` in ingestion input source. However, this will cause existing ingestion
jobs to fail if they are using a filter already. This PR adds old filter functionality
alongside objectGlob to preserve backward compatibility.
* Use standard library to correctly glob and stop at the correct folder structure when filtering cloud objects.
Removed:
import org.apache.commons.io.FilenameUtils;
Add:
import java.nio.file.FileSystems;
import java.nio.file.PathMatcher;
import java.nio.file.Paths;
* Forgot to update CloudObjectInputSource as well.
* Fix tests.
* Removed unused exceptions.
* Able to reduced user mistakes, by removing the protocol and the bucket on filter.
* add 1 more test.
* add comment on filterWithoutProtocolAndBucket
* Fix lint issue.
* Fix another lint issue.
* Replace all mention of filter -> objectGlob per convo here:
https://github.com/apache/druid/pull/13027#issuecomment-1266410707
* fix 1 bad constructor.
* Fix the documentation.
* Don’t do anything clever with the object path.
* Remove unused imports.
* Fix spelling error.
* Fix incorrect search and replace.
* Addressing Gian’s comment.
* add filename on .spelling
* Fix documentation.
* fix documentation again
Co-authored-by: Didip Kerabat <didip@apple.com>
* Fixing RACE in HTTP remote task Runner
* Changes in the interface
* Updating documentation
* Adding test cases to SwitchingTaskLogStreamer
* Adding more tests
In a heterogeneous environment, sometimes you don't have control over the input folder. Upstream can put any folder they want. In this situation the S3InputSource.java is unusable.
Most people like me solved it by using Airflow to fetch the full list of parquet files and pass it over to Druid. But doing this explodes the JSON spec. We had a situation where 1 of the JSON spec is 16MB and that's simply too much for Overlord.
This patch allows users to pass {"filter": "*.parquet"} and let Druid performs the filtering of the input files.
I am using the glob notation to be consistent with the LocalFirehose syntax.
Azure Blob storage has multiple modes of authentication. One of them is Shared access resource
. This is very useful in cases when we do not want to add the account key in the druid properties .
* working
* Lazily load segmentKillers, segmentMovers, and segmentArchivers
* more tests
* test-jar plugin
* more coverage
* lazy client
* clean up changes
* checkstyle
* i did not change the branch condition
* adjust failure rate to run tests faster
* javadocs
* checkstyle
Fixes#11297.
Description
Description and design in the proposal #11297
Key changed/added classes in this PR
*DataSegmentPusher
*ShuffleClient
*PartitionStat
*PartitionLocation
*IntermediaryDataManager
* IntelliJ inspections cleanup
* Standard Charset object can be used
* Redundant Collection.addAll() call
* String literal concatenation missing whitespace
* Statement with empty body
* Redundant Collection operation
* StringBuilder can be replaced with String
* Type parameter hides visible type
* fix warnings in test code
* more test fixes
* remove string concatenation inspection error
* fix extra curly brace
* cleanup AzureTestUtils
* fix charsets for RangerAdminClient
* review comments
* Allow Cloud SegmentKillers to be instantiated without segment bucket or path
This change fixes a bug that was introduced that causes ingestion
to fail if data is ingested from one of the supported cloud storages
(Azure, Google, S3), and the user is using another type of storage
for deep storage. In this case the all segment killer implementations
are instantiated. A change recently made forced a dependency between
the supported cloud storage type SegmentKiller classes and the
deep storage configuration for that storage type being set, which
forced the deep storage bucket and prefix to be non-null. This caused
a NullPointerException to be thrown when instantiating the
SegmentKiller classes during ingestion.
To fix this issue, the respective deep storage segment configs for the
cloud storage types supported in druid are now allowed to have nullable
bucket and prefix configurations
* * Allow google deep storage bucket to be null
* Azure deep storage does not work with datasource name containing non-ASCII chars
Fixed a bug where recording the segment file location fails when
using Azure Deep Storage, if the datasource has any special
characters
* * update jacoco thresholds
* * resolve merge conflicts
* address review comments
* Ability to Delete task logs and segments from Azure Storage
* implement ability to delete all tasks logs or all task logs
written before a particular date when written to Azure storage
* implement ability to delete all segments from Azure deep storage
* * Address review comments
* Skip empty files for local, hdfs, and cloud input sources
* split hint spec doc
* doc for skipping empty files
* fix typo; adjust tests
* unnecessary fluent iterable
* address comments
* fix test
* use the right lists
* fix test
* fix test
* Move Azure extension into Core
Moving the azure extension into Core.
* * Fix build failure
* * Add The MIT License (MIT) to list of compatible licenses
* * Address review comments
* * change reference to contrib azure to core azure
* * Fix spelling mistakes.
Shivam Garg
Jonathan Wei
Andreas Maechler
Akshat Jain
Karan Kumar
George Shiqi Wu
zachjsh
Misha
Gian Merlino
Laksh Singla
Nicholas Lippis
Tejaswini Bandlamudi
Kashif Faraz
Didip Kerabat
Abhishek Agarwal
Jihoon Son
Parag Jain
Suneet Saldanha