"title"=>"March 18, 2024",
"summary"=>nil,
"content"=>"BigQuery\n
Libraries
\nA weekly digest of client library updates from across the Cloud SDK.
\nNode.js
Changes for @google-cloud/bigquery
\n\n7.5.1 (2024-03-14)
\n\nBug Fixes
\n\n- \n
- Add better documentation around usage of BigQueryTimestamp class and .timestamp method. (2b2c3e0) \n
- BigQueryTimestamp should keep accepting floats #1339 (2b2c3e0) \n
- Restores BigQueryTimestamp behavior to accept a numeric value in the constructor representing epoch-seconds. The affected 7.5.0 version would parse a numeric value as epoch-microseconds. (2b2c3e0) \n
Python
Changes for google-cloud-bigquery
\n\n3.19.0 (2024-03-11)
\n\nFeatures
\n\n\n\nBug Fixes
\n\n- \n
- Add google-auth as a direct dependency (713ce2c) \n
- Augment universe_domain handling (#1837) (53c2cbf) \n
- deps: Require google-api-core>=1.34.1, >=2.11.0 (713ce2c) \n
- Supplementary fix to env-based universe resolution (#1844) (b818992) \n
- Supplementary fix to env-based universe resolution (#1847) (6dff50f) \n
Feature
\nYou can now undelete a dataset that is within your time travel window to recover it to the state that it was in when it was deleted. This feature is in preview.
\nFeature
\nThese BigQuery features are now\ngenerally available\n(GA):
\n\nText analysis configuration options\nfor the following:
\n\n- \n
CREATE SEARCH INDEX
DDL \n- Existing\n
LOG_ANALYZER
\nand new\nPATTERN_ANALYZER
\nanalyzers, which are used in various functions, including\nSEARCH
\n - The\n
TEXT_ANALYZE
\nfunction \n
The following advanced processing functions:
\n\n- \n
ML.BAG_OF_WORDS
\nML.TF_IDF
\nBAG_OF_WORDS
\nTF_IDF
\nCOSINE_DISTANCE
\nEUCLIDEAN_DISTANCE
\nEDIT_DISTANCE
\n
Feature
\nYou can now perform hierarchical forecasts in BigQuery ML\ntime series models,\nwhich let you aggregate and roll up values for all time series in the model.\nThis feature is\ngenerally available\n(GA).
\nBigtable\nLibraries
\nA weekly digest of client library updates from across the Cloud SDK.
\nJava
Changes for google-cloud-bigtable
\n\n2.36.0 (2024-03-13)
\n\nFeatures
\n\nLibraries
\nA weekly digest of client library updates from across the Cloud SDK.
\nPython
Changes for google-cloud-logging
\n\n3.10.0 (2024-03-13)
\n\nFeatures
\n\n\n\nBug Fixes
\n\n- \n
- Added placeholder kwargs to StructuredLogHandler (#845) (9bc0a37) \n
- Allowed for a partial override of loggers that get excluded from setup_client (#831) (870c940) \n
- Remove usage in including_default_value_fields to prepare for protobuf 5.x (#866) (66a534d) \n
- Use value of cluster-location in GKE for tagging location (#830) (c15847c) \n
Documentation
\n\nChanged
\nYou can now use Duet AI for Developers to help you create a synthetic monitor. This feature is in Public Preview. For more information, see Create a synthetic monitor.
\nCloud Storage\nFeature
\nYou can now use the GCS FUSE file cache feature, a client-based read cache that lets repeat file reads to be served from a faster cache storage of your choice. To learn more about caching, see GCS FUSE caching documentation.
\nLibraries
\nA weekly digest of client library updates from across the Cloud SDK.
\n\nGo
Changes for storage/internal/apiv2
\n\n1.39.1 (2024-03-11)
\n\nBug Fixes
\n\nJava
Changes for google-cloud-storage
\n\n2.36.0 (2024-03-15)
\n\nFeatures
\n\n- \n
- Add Custom Part Metadata Decorator to ParallelCompositeUploadConfig (#2434) (43b8006) \n
- Add hierarchical namespace and folders features (#2445) (8074fff) \n
- Add soft delete feature (#2403) (989f36f) \n
Bug Fixes
\n\n- \n
- Fix name digest for noprefix (#2448) (12c9db8) \n
- Missing serialVersionUID of serializable classes (#2344) (736865b) \n
Dependencies
\n\nAnnouncement
\nThe BufferTask
method for creating tasks is now at General Availability (GA).
Announcement
\nFor tasks that have HTTP targets (as opposed to App Engine targets), the option to set routing for tasks at the queue level is now at General Availability (GA). If you set routing at the queue level, you do not have to set routing for each individual task. To learn more, see Configure routing.
\nCompute Engine\nAnnouncement
\nGenerally available: The organization-wide patch status dashboard and organization-wide OS policy compliance reports in VM Manager are now generally available.
\nConfig Controller\nChanged
\nConfig Controller now uses the following versions of its included products:
\n\n- \n
- Config Connector v1.113.0, release notes \n
- Anthos Config Management v1.17.2, release notes \n
Deprecated
\nContainer Registry is scheduled to be shut down and superseded by Artifact Registry on March 18, 2025. For more information and transition options, see Deprecations.
\nDataflow\nLibraries
\nA weekly digest of client library updates from across the Cloud SDK.
\nGo
Changes for dataflow/apiv1beta3
\n\n0.9.6 (2024-03-14)
\n\nBug Fixes
\n\n- \n
- dataflow: Update protobuf dep to v1.33.0 (30b038d) \n
Feature
\nM118 release
\n\n- \n
- Pytorch 2.1.0 with CUDA 12.1 and Python 3.10 container images are now available. \n
- Pytorch 2.2.0 with CUDA 12.1 and Python 3.10 container images are now available. \n
Feature
\nM118 release
\n\n- \n
- Restored legacy gpu image families for TensorFlow 2.12 through 2.14, and for PyTorch 2.0. \n
- Pytorch 2.1.0 with CUDA 12.1 and Python 3.10 VM images are now available. \n
- Pytorch 2.2.0 with CUDA 12.1 and Python 3.10 VM images are now available. \n
- R images (Experimental) updated to R 4.3.3. \n
- Updated Nvidia drivers of older Deep Learning VM images to R535. \n
Changed
\nThe Dialogflow ES and Dialogflow CX us-dialogflow.googleapis.com
endpoint and locations/us
resource location,\nwhich served as aliases for global resources, will be discontinued on April 16, 2024. For more information, see the email announcement.
Feature
\nThe following prebuilt components have been added to Dialogflow CX:
\n\n\nSecret Manager\nLibraries
\nA weekly digest of client library updates from across the Cloud SDK.
\nGo
Changes for secretmanager/apiv1
\n\n1.11.6 (2024-03-14)
\n\nBug Fixes
\n\n- \n
- secretmanager: Update protobuf dep to v1.33.0 (30b038d) \n
Changed
\nVector Search heuristics-based compaction
\n\nVector Search uses heuristics-based metrics assess whether to trigger compaction. This prevents unnecessary compaction, and thus reduces cost. For general information about compaction, see Compaction.
\nVertex AI Workbench\nFeature
\nM118 release
\n\nThe M118 release of Vertex AI Workbench user-managed notebooks includes the following:
\n\n- \n
- Pytorch 2.1.0 with CUDA 12.1 and Python 3.10 user-managed notebooks instances are now available. \n
- Pytorch 2.2.0 with CUDA 12.1 and Python 3.10 user-managed notebooks instances are now available. \n
- Updated Nvidia drivers of older user-managed notebooks images to R535. \n
Feature
\nThe M118 release of Vertex AI Workbench managed notebooks includes the following:
\n\n- \n
- Updated Nvidia drivers to R535, which fixed a bug where the latest PyTorch 2.0 kernel didn't work due to outdated drivers. \n
Feature
\nM118 release
\n\nThe M118 release of Vertex AI Workbench instances includes the following:
\n\n- \n
- Updated Nvidia drivers to R535. \n
"author"=>nil,
"link"=>"https://cloud.google.com/release-notes#March_18_2024",
"published_date"=>Mon, 18 Mar 2024 07:00:00.000000000 UTC +00:00,
"image_url"=>nil,
"feed_url"=>"https://cloud.google.com/release-notes#March_18_2024",
"language"=>nil,
"active"=>true,
"ricc_source"=>"feedjira::v1",
"created_at"=>Sun, 31 Mar 2024 21:42:30.397156000 UTC +00:00,
"updated_at"=>Mon, 13 May 2024 18:39:56.595035000 UTC +00:00,
"newspaper"=>"GCP latest releases",
"macro_region"=>"Technology"}