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Major Features and Improvements * Improves building wheels from source with `setup.py`. * Supports configure GRPC options `max_receive_message_length` from the python client. * Adds python 3.8 support. Bug Fixes and Other Changes * Adds `grpcio` as py client dependency. * Replaces the C++ MOCK_METHOD`<n>` family of macros with the new MOCK_METHOD * Updates node's `last_update_time_since_epoch` when changing (custom)properties. * Disables incompatible Golang BUILD targets temporarily. * Support GetArtifactByTypeAndName, GetExecutionByTypeAndName, GetContextByTypeAndName Go API Breaking Changes * N/A Deprecations * Deprecated py3.5 support
Major Features and Improvements * GetArtifacts, GetExecutions and GetContexts now supports pagination and ordering results by ID, Create time and last update time fields. Bug Fixes and Other Changes * Python MetadataStore now exposes get_artifact_by_type_and_name and get_execution_by_type_and_name methods. * Improves query performance of get_events_by_execution_ids and get_events_by_artifact_ids by combing multiple queries. * Drops python dependency on tensorflow to make ml-metadata be friendly with non-TFX use cases. Breaking Changes * Python MetadataStore APIs return mlmd errors instead of tensorflow errors. Deprecations * Note: We plan to remove Python 3.5 support after this release.
Major Features and Improvements * Uses metadata_store per request for grpc server to improve scalability. Bug Fixes and Other Changes * Uses Iterable[int] instead Sequence[int] for listing APIs accepting ids. * Depends on `tensorflow>=1.15,!=2.0.*,<3` Breaking changes Deprecations * Drops Python 2 support and stops releasing py2 wheels.
Major Features and Improvements * Upgrades MLMD schema version to 5. - Added state columns to persistent Artifact.state, Execution.last_known_state - Added user-given unique name per type column to Artifact and Execution. - Added create_time_since_epoch, last_update_time_since_epoch to all Nodes. * Provides GetArtifactByTypeAndName and GetExecutionByTypeAndName API to get artifact/execution by type and name. * Refactors transaction executions using TransactionExecutor class. * Supports storing/retrieving Artifact.state and Execution.last_known_state. Bug Fixes and Other Changes * Returns explicit InvalidArgument for get_artifacts_by_uri from 0.15.x clients when using 0.21.0+ server. Breaking changes Deprecations
Major Features and Improvements Bug Fixes and Other Changes * Updates logging level for python mlmd client. Breaking changes Deprecations
Major Features and Improvements * Refactoring MetadataAccessObject to allow for more flexibility. * Release a script to generate Python API documentation. Bug Fixes and Other Changes * GetArtifacts/Executions/Contexts returns OK instead of NotFound to align with other listing APIs. * Handles mysql stale connection error 2006 by client-side reconnection. * Handles mysql innodb deadlock error (1213) and lock timeout (1205) via client-side retry. * Avoids update node or properties without changes. Breaking changes Deprecations
Major Features and Improvements * Adding artifact states. * Supporting connection retries to gRPC server. * Allowing the Python API put_execution to update or insert related contexts. * Adding a new execution state: CANCELED. This indicates an execution being canceled. * Adding two event types: INTERNAL_INPUT and INTERNAL_OUTPUT indended to be used by mlmd powered systems (e.g., orchestrator). * Add support to pass migration options as command line parameters to the MLMD gRPC server. * Adding a new Python API get_context_by_type_and_name to allow querying a context by its type and context name at the same time. Bug Fixes and Other Changes * Refactoring MetadataAccessObject to allow for more flexibility. Breaking Changes * The Python API put_execution will need an extra input argument to pass in contexts and return updated context_ids. Users using the old API could pass in None or an empty list as context and add another variable to hold the returned context_ids to migrate. Deprecations
Major Features and Improvements Bug Fixes and Other Changes * Passes bytes instead of string to grpc.ssl_channel_credentials. * Align GRPC python client stub error code with swig client error code. * Add verify_server_cert support to MySQL source SSL options. Breaking Changes Deprecations
Major Features and Improvements * Add migration options to gRPC MetadataStoreServerConfig. * Disable auto schema migration by default during connection. The user needs to explicitly enable it when connecting an older database. * Support SSL options when using MySQL metadata source. Bug Fixes and Other Changes * Fixes MySQL errors with concurrent connection to an empty database. Now, MLMD returns Aborted when concurrent connection error happens and the caller can retry appropriately. Breaking Changes Deprecations * Deprecates proto field MigrationOptions.disable_upgrade_migration. * Deprecates `disable_upgrade_migration` in python MetadataStore constructor.
Major Features and Improvements * Add Dockerfile for building a containerized version of the MLMD gRPC server. * Add support for connecting to a MYSQL Metadata Source via Unix sockets. * Add support to pass mysql connection configuration as command line parameters to the MLMD gRPC server. * Provides the ability for metadata_store.py to communicate with the MLMD gRPC server, as an alternative to connecting directly with a database. * Supports Sqlite for Windows and adds scripts to build wheels for python3 in Windows. * Provides GetContextTypes to list all Context Types. * MLMD ConnectionConfig provides an option to disable an automatic upgrade. * Supports downgrade of the database schema version to older versions. Bug Fixes and Other Changes * Depended on `tensorflow>=1.15,<3` * Starting from 1.15, package `tensorflow` comes with GPU support. Users won't need to choose between `tensorflow` and `tensorflow-gpu`. * Caveat: `tensorflow` 2.0.0 is an exception and does not have GPU support. If `tensorflow-gpu` 2.0.0 is installed before installing `ml_metadata`, it will be replaced with `tensorflow` 2.0.0. Re-install `tensorflow-gpu` 2.0.0 if needed. Breaking Changes Deprecations
Major Features and Improvements * Add Context and ContextType to MLMD data model, which are used for capturing grouping concepts (e.g., Project, Pipeline, Owner, etc) of Artifacts and Executions. * Add CACHED state to Execution state enum to model an execution that is skipped due to cached results. * Add the ability to list all instances of ArtifactType and ExecutionType. * Support Type update and enforce backward compatibility. * Support atomic creation and publishing of an execution. * Support building a manylinux2010 compliant wheel in docker so that it works in other linux OS outside of Ubuntu. * Provide MLMD migration scheme to migrate out-of-date MLMD instance. * Support creating and querying ContextType. * Support creating, updating and querying Context instances. * Support grouping artifact and executions into contexts. * Support querying related artifacts and executions through contexts. Bug Fixes and Other Changes Breaking changes Deprecations
Major Features and Improvements * Established ML Metadata as a standalone package. * Provides a way to store information about how each artifact (e.g. file) was generated. * Provides tools for determining provenance. Bug Fixes and Other Changes Breaking changes Deprecations