Release History

[0.5.14] - Unreleased

Added

• n/a

Fixed

• n/a

Updated

• n/a

Breaking changes

• n/a

[0.5.13] - 2025-01-07

Added

• Support for Python 3.12
• Support for Python 3.13
• Contribution guidelines
• Support for external PR

Updated

• uv as the recommended package manager
• Formatting and linting with ruff (instead of black)
• Added ruff formatting and linting as a pre-commit
• Added pytest fixtures to run tests only when required environment variables are available

[0.5.12] - 2024-12-30

Fixed

• Injection of variables into pipeline requirements

[0.5.11] - 2024-12-30

Fixed

• Serverless pipeline job raises a validation error

[0.5.10] - 2024-12-29

Added

• Support for view creation from pipeline node
• --version and version CLI commands
• Support for for_each_task in Databricks job resource
• Support for external libraries in pipelines

Fixed

• Variables supports referencing environment variables and other variables

Updated

• Replaced dataframe_backend propagation with dynamic parent lookup
• Introduced PipelineChild internal class to manage child/parent relationship
• Added laktory package as a task cluster dependency when Databricks Job is used as a pipeline orchestrator

Breaking changes

• Renamed dataframe_type to dataframe_backend
• Renamed pipeline orchestrator from "DLT" to "DATABRICKS_DLT"
• Renamed pipeline databricks job and dlt resource names. May cause a re-deployment.
• Moved pipeline notebook_path under databricks_job attribute.

[0.5.9] - 2024-12-20

Fixed

• CDC Merge when records flagged for delete don't exist in target

[0.5.8] - 2024-12-18

Added

• is_enabled option to resources for disabling specific resources for specific environments or configurations.
• name_prefix and name_suffix options for DLT pipeline
• Support for "AVRO", "ORC", "TEXT" and "XML" format for file data source with spark dataframe backend.

[0.5.7] - 2024-12-09

Added

• inject_vars_into_dump method for BaseModel class to inject variables into a dictionary
• MlfflowExperiment Databricks resource
• MlfflowModel Databricks resource
• MlfflowWebhook Databricks resource
• Alert Databricks resource
• Query Databricks resource
• name_prefix and name_suffix options for Alert, Dashboard and Query resources.

Fixed

• Removed dependency on pytz

Breaking changes

• Refactored BaseModel inject_vars method to inject variables directly into the model, instead of into a dump.
• Deprecated SQLQuery Databricks resource

[0.5.6] - 2024-12-03

Added

• Databricks job name prefix and suffix attributes
• Propagation of stack variables to all resources

Updated

• Removed unsafe characters from pipeline default root

[0.5.5] - 2024-12-02

Added

• Support for setting Laktory Databricks Workspace root from the stack file
• Support for Databricks Job Queuing [#307]

Fixed

• Injection of variables into pipeline names

Updated

• Given priority to stack variables over environment variables
• Automatic assignation of pipeline name to Databricks Job name when selected as orchestrator
• workflows quickstart pipeline notebook to support custom laktory root

Breaking Changes

• Renamed PipelineNode attribute primiary_key to primary_keys to support multiple keys

[0.5.4] - 2024-11-26

Fixed

• DataSink merge for out-of-order records with streaming DataFrame

[0.5.3] - 2024-11-22

Added

• DataSinks merge write mode for Change Data Capture, supporting type 1 and type 2 SCD

Fixed

• Source format in stock prices quickstart pipeline
• Removed warning due to usage of FileDataSource private attribute schema

[0.5.2] - 2024-11-12

Added

• Support for JSONL and NDJSON formats in FileDataSource

Fixed

• Missing stream query termination in TableDataSink model
• Raise Exception when resource names are not unique [#294]

Updated

• Logs to include timestamp
• FileDataSource to support spark read_options
• FileDataSource to support schema specification for weakly-typed formats

[0.5.1] - 2024-11-08

Added

• Support for ClusterPolicy Databricks resource
• Support for Repo Databricks resource

Fixed

• ReadMe file code

[0.5.0] - 2024-11-05

Added

• DataFrameColumnExpression model
• Data Quality Expectations
• Data Quality Checks
• Support for multiple sinks per pipeline node
• Support for quarantine sink
• Root path for laktory, pipelines and pipeline nodes

Fixed

• Stream writer FileDataSink
• Support for null value in JobTaskSQLTask queries
• Singularized attribute names in JobEmailNotifications for Terraform [#276]
• Added missing source attribute in JobTaskSqlTaskFile [#275]

Updated

• Job to automatically alphabetically sort tasks [#286]
• Job now supports description [#277]
• JobTaskNotebookTask now allows warehouse_id for compute [#265]
• JobTaskSQLTask updated to support null for queries [#274]

Breaking changes

• Renamed sql_expr to expr to enable both SQL and DataFrame expressions with auto-detection
• Updated DLT Expectation action "ALLOW" to "WARN"
• Prefixed dlt_ to warning_expectations properties in pipeline nodes
• Refactored default paths for WorkspaceFile and DBFSFile models for improved target location control [#263]
• Refactored Polars reader to read as LazyFrame
• Renamed PipelineNode attribute sink to sinks

[0.4.14] - 2024-10-08

Updated

• Workflows quickstart to include debug script
• Workflows quickstart to better align DLT and job pipeline.

[0.4.13] - 2024-10-01

Added

• Grants resources to Stack
• no_wait option for Cluster resources
• Polars quickstart

Fixed

• Missing dependencies when deploying grants and data access with Metastore

Updated

• Added SQL expression to logs when processing Polars DataFrame

Breaking changes

• Renamed workspace provider to grants provider in Metastore resource

[0.4.12] - 2024-09-18

Added

• Support for multi-segments (semi-column ; separated) SQL statements
• Support for Databricks Lakeview Dashboard resource
• CLI destroy command
• unity-catalog, workspace and workflows template choices for CLI quickstart

Updated

• Better feedback when terraform is not installed
• Added SQL query to pipeline node transformer logs

Breaking changes

• Removed backend and organization arguments for CLI
• Combined CLI pulumi-options and terraform-options into options

[0.4.11] - 2024-08-16

Added

• VectorSearchIndex Databricks resource
• VectorSearchEndpoint Databricks resource
• purge method for data sink
• full_refresh option for pipeline and pipeline node

Fixed

• Checkpoint location of TableDataSink

[0.4.10] - 2024-07-20

Fixed

• mergeSchema and overwriteSchema default options in DataSink writers

[0.4.9] - 2024-07-20

Added

• Support for models yaml merge
• MwsNccBinding databricks resource
• MwsNetworkConnectivityConfig databricks resource
• Support for Databricks Table storage_credential_name and storage_location properties
• Support for BINARYFILE (PDF) format in FileDataSource with Spark

Fixed

• DLT Debug mode when source is streaming and node is not
• DataFrame type propagation when models are used as inputs to other models
• Terraform auto-approve when other options are used
• show_version_info() method to display correct packages version

[0.4.8] - 2024-07-03

Added

• Support for referencing nodes in SQL queries
• Support for looking up existing resources
• Support for terraform alias providers
• laktory namespace to spark.sql.connect

Fixed

• Parametrized SQL expressions used in the context of DLT

Updated

• Support for Polars 1.0

[0.4.7] - 2024-06-27

Fixed

• Support for parametrized queries when DLT module is loaded

[0.4.6] - 2024-06-27

Added

• Support for parametrized queries when DLT module is loaded

Fixed

• Issue with getting environment stack on null properties

[0.4.5] - 2024-06-25

Updated

• with_column transformer node method to allow for None type

[0.4.4] - 2024-06-25

Added

• WorkspaceFile attribute to Pipeline class to customize access controls

Fixed

• Spark dependencies
• Fixed encoding when reading from yaml files

Updated

• Changed pipeline JSON file permission from account users to users
• Smart join to support coalesce of columns outside of the join

[0.4.3] - 2024-06-12

Updated

• Dataframe type propagation through all pipeline children

Fixed

• Reading pipeline node data source is isolation mode

[0.4.2] - 2024-06-11

Fixed

• Creation of the same column multiple times in a transformer node

[0.4.1] - 2024-06-11

Fixed

• Accessing custom DataFrame functions in custom namespace in SparkChainNode execution

[0.4.0] - 2024-06-11

Added

• Support for Polars with FileDataSource
• Support for Polars with FileDataSink
• Support for PolarsChain transformer
• Polars DataFrame extension
• Polars Expressions extension

Breaking changes

• Refactored column creation inside a transformer node
• Moved laktory Spark dataframe custom functions under a laktory namespace.

[0.3.3] - 2024-05-30

Added

• Support for SQL expression in SparkChain node
• Limit option to Data Sources
• Sample option to Data Sources
• Display method for Spark DataFrames

Updated

• Stack model environments to support overwrite of individual list element

Fixed

• Pipeline Node data source read with DLT in debug mode

[0.3.2] - 2024-05-28

Updated

• Install instructions

Breaking changes

• Re-organized optional dependencies
• Remove support for Pulumi python

[0.3.1] - 2024-05-28

Fixed

• Updated ReadMe
• Stack Validator unit test

[0.3.0] - 2024-05-28

Added

• Pipeline model, the new central component for building ETL pipelines
• PipelineNode model, the Pipeline sub-component defining each dataframe in a pipeline
• FileDataSink and TableDataSink sinks models
• PipelineNodeDataSource and MemoryDataSource sources model
• Future support for Polars and other types of dataframe

Updated

• Enabled CDC support for both FileDataSource and TableDataSource

Breaking changes

• Merged DataEventHeader into DataEvent model
• Renamed EventDataSource model to FileDataSource
• Renamed name attribute to table_name in TableDataSource model
• Removed SparkChain support in DataSources
• Renamed Pipeline model to DLTPipeline model
• Cloud resources moved under models.resources.{provider}.{resource_class} to avoid collisions with future classes.
• Removed TableBuilder. PipelineNode should be used instead

[0.2.1] - 2024-05-07

Added

• Support for spark chain for a data source
• Support for broadcasting in a data source
• YAML model dump for all base models

Fixed

• Function selection for pyspark connect dataframes

[0.2.0] - 2024-05-02

Added

• SparkChain a high level class allowing to declare and execute spark operations on a dataframe
• SparkColumnNode the node of a SparkChain that builds a new column
• SparkTableNode the node of a SparkChain that returns a new dataframe
• Moved filter, selects and watermarks properties to models.BaseDataSource so that it can be used for all source types
• models.BaseDataSource renames attribute for renaming columns of the source table
• models.BaseDataSource drops attribute for dropping columns of the source table
• spark DataFrame watermark returns the watermark column and threshold if any
• spark DataFrame smart_join joins, cleans duplicated columns and supports watermarking
• spark DataFrame groupby_and_agg groupby and aggregates in a single function
• spark DataFrame window_filter takes the first n rows over a window

Updated

• n/a

Breaking changes

• Refactored table builder to use SparkChain instead of direct definitions of joins, unions, columns building, etc.

[0.1.10] - 2024-04-23

Added

• CLI run command to execute remote jobs and pipelines and monitor errors until completion
• Dispatcher class to manage and run remote jobs
• JobRunner class to run remote jobs
• PipelineRunner class to run remote pipelines
• datetime utilities

Updated

• Environment variables DATABRICKS_SDK_UPSTREAM and DATABRICKS_SDK_UPSTREAM_VERSION to track laktory metrics as a Databricks partner

Fixed

• Permissions resource dependencies on DbfsFile and WorkspaceFile.

[0.1.9] - 2024-04-17

Added

• Support for table unions in table builder
• New column property raise_missing_arg_exception to allow for some spark function inputs to be missing
• add, sub, mul and div spark functions

Breaking Change

• Renamed power spark function to scaled_power to prevent conflict with native spark function

[0.1.8] - 2024-03-25

Added

• quickstart CLI command to initialize a sample Laktory stack.
• Databricks DBFS file model

[0.1.7] - 2024-03-15

Added

• show_version_info() method for bugs reporting
• Git issues templates

[0.1.6] - 2024-02-23

Updated

• Website branding

[0.1.5] - 2024-02-14

Added

• Support for DLT views
• Support for providing table builder drop_duplicates with a list of columns to consider for the drop duplicates.

Fixed

• Propagation of stack variables to resources

[0.1.4] - 2024-02-12

Added

• Support for custom join sql expression in TableJoin model

[0.1.3] - 2024-02-10

Added

• Support for explicit path in TableDataSource model

[0.1.2] - 2024-02-05

Added

• Metastore, MetastoreAssignment, MetastoreDataAccess, MwsPermissionAssignment and ExternalLocation models
• workspace_permission_assginments field to Group model
• StackValidator class for testing deployment in both Pulumi and Terraform

Updated

• Pipeline model supports null catalog (hive metastore)
• Event Data Source supports custom event root path
• Event Data Source supports custom schema location path
• Refactored core_resources property to automatically propagate provider and dependencies to sub-resources.

Breaking Changes

• Refactored default resource name to remove illegal characters, resolve variables and remove resource tags.

[0.1.1] - 2024-01-28

Added

• General support for Terraform IaC backend
• AWS Provider
• Azure Provider
• Azure Pulumi (Native) Provider

Updated

• BaseModel inject_vars method regular expressions support

Breaking changes

• Replaced CLI argument --stack with --org and --dev for a more consistent experience between pulumi and terraform backends

[0.1.0] - 2024-01-12

Added

• Automatic creation of resources output variables that can be used in configuration files
• Custom model serialization allowing conversion of keys to camel case
• Laktory CLI
• Stack model to define and deploy a complete collection of resources from yaml files only and manage environments
• Support for cross-references in yaml files. A yaml configuration file can include another.
• BaseResource and PulumiResource models with all methods required to deploy through pulumi
• Grants model
• GroupMember model
• Permissions model
• ServicePrincipalRole model
• UserRole model
• resources object to a BaseResource instance to define and deploy all the associated resources

Updated

• events_root field of DataEventHeader and DataEvent models is now a property for the default value to dynamically account for settings
• inject_vars method to support multiple targets (pulumi_yaml, pulumi_py, etc.)

Breaking changes

• Modified groups field for Users and ServicePrincipal models to accept group id instead of group name
• Modified resource_key for WorkspaceFile, Notebook and Directory
• Removal of Laktory Resources Component (will trigger replacement of all resources unless aliases are used)
• Removal of resources engines classes
• Renamed permissions field to access_controls in multiple models to be consistent with Databricks API
• Renamed vars object to variables
• Resources deployment method deploy() and deploy_with_pulumi() renamed to to_pulumi()

[0.0.29] - 2023-12-20

Fixed

• Forced newlines character to eliminate discrepancies between Windows and Linux environment when writing pipeline files.

[0.0.28] - 2023-12-17

Updated

• job.continuous.pause_status to allow for arbitrary string (allow variable)
• job.email_notifications.pause_status to allow for arbitrary string (allow variable)
• job.task_condition.pause_status to allow for arbitrary string (allow variable)
• warehouse.channel_name to allow for arbitrary string (allow variable)
• warehouse.spot_instance_policy to allow for arbitrary string (allow variable)
• warehouse.warehouse_type to allow for arbitrary string (allow variable)

[0.0.27] - 2023-12-16

Added

• Support for DLT tables expectations

[0.0.26] - 2023-12-16

Added

• GitHub releases
• Units conversion spark function

[0.0.25] - 2023-12-12

Added

• compare spark function
• API Reference
• doc tests

Updated

• SparkFuncArgs model to allow constant value

Breaking changes

• Renamed Producer model to DataProducer
• Renamed Resource model to BaseResource
• Renamed user and permissions resources
• Renamed group and permissions resources
• Renamed pipeline resources

[0.0.24] - 2023-12-05

Fixed

• Null values in joining columns with outer join

Updated

• Variable injection to support Pulumi Output as part of a string
• Column builder requires all inputs available to build a column

[0.0.23] - 2023-12-01

Added

• Databricks directory model
• SQL Query model
• Table resource

[0.0.22] - 2023-11-29

Added

• Git tag for each release
• Automatic version bump after each release
• Automatic documentation publishing after each release

[0.0.21] - 2023-11-27

Breaking Changes

• Renamed table.builder.zone to table.builder.layer to be consistent with industry standards.

[0.0.20] - 2023-11-27

Added

• header option when reading CSV event data source
• read_options option when reading event data source
• aggregation feature for table builder
• window_filter feature for table builder

[0.0.19] - 2023-11-23

Fixed

• Gold zone columns in table builder

Added

• drop_columns option in table builder
• template property to table builder, allowing to select a template, independent of the zone.

Breaking Changes

• Renamed models.sql.column.Column.to_column to models.sql.column.Column.is_column to clarify that the provided value is a column name.

[0.0.18] - 2023-11-14

Added

• Support for externally managed users and groups

[0.0.17] - 2023-11-13

Fixed

• Data Event model to support timestamp from string

Added

• Option to exclude timestamp from data event filepath
• Selects, filter, watermark options for TableDataSource
• Support for joins in Table model
• Silver Star builder

Breaking Changes

• Refactored Table to move all building configuration into a TableBuilder model

[0.0.16] - 2023-11-08

Added

• UDFs property to pipeline model

Breaking Changes

• Refactored InitScript model into the more general WorkspaceFile

[0.0.15] - 2023-11-07

Added

• Support for CDC table data source
• Support for SCD table

Updated

• Automatic catalog and schema assignation to source table from table and pipeline

[0.0.14] - 2023-11-06

Fixed

• Pyspark imports when pyspark not installed

[0.0.13] - 2023-11-06

Fixed

• Column spark_func_args parsing
• Column spark_func_kwargs parsing
• Support for _any column type

Added

• schema_flat and has_column DataFrame extensions for spark connect

Updated

• Table Data Source to support tables external to the DLT pipeline

[0.0.12] - 2023-11-06

Fixed

• Pyspark imports when pyspark not installed

[0.0.11] - 2023-11-05

Fixed

• Deployment of pipeline configuration file

Added

• Spark optional dependencies
• Spark unit tests
• Functions library
• Support for custom functions in silver processing

Breaking Changes

• Changed API for table columns definition
• Removed databricks-sdk as dependency

[0.0.10] - 2023-10-31

Fixed

• df_has_column handling of arrays when column name contains a digit

[0.0.9] - 2023-10-27

Updated

• df_has_column support for column names with backticks (`)

[0.0.8] - 2023-10-24

Added

• Model pulumi dump method
• Support for variables in yaml files

Breaking Changes

• Deprecated metadata SQL methods

[0.0.7] - 2023-10-20

Updated

• Bronze template notebook to leverage configuration file
• Silver template notebook to leverage configuration file

Added

• compute.Cluster model
• compute.InitScript model
• compute.Job model
• compute.Notebook model
• compute.Pipeline model
• compute.Warehouse model
• secrets.Secret model
• secrets.SecretScope model
• Pipeline configuration file management

Breaking Changes

• Refactored landing mount to landing root and changed default configuration to volumes

[0.0.6] - 2023-10-10

Added

• User, service principal and users group models
• Grants models
• Pulumi resources engine for user, group, catalog, schema, volume and associated grants

Breaking Changes

• Renamed database objects to schema to be aligned with Databricks recommendations

[0.0.5] - 2023-09-28

Added

• Processing method for silver tables
• Silver DLT pipeline template notebook
• df_schema_flat function
• _any as as supported type for Spark functions

Updated

• Excluded fields for DataEvent model_dump
• df_hascolumn function to support Spark 3.5

Fixed

• Table Metadata included derived properties for the columns

[0.0.4] - 2023-09-27

Updated

• Refactored dlt module to support DBR < 13 and clusters in shared access mode

Fixed

• model_validate_yaml() for Pipeline model
• table data insert when no data is available

Breaking Changes

• Removed spark from required dependencies

[0.0.3] - 2023-09-25

Added

• Data Event cloud storage writers (Azure, AWS and Databricks mount)

[0.0.2] - 2023-09-24

Added

• Data Event class
• Data Source classes
• Pipeline class
• Support for BRONZE transformations

[0.0.1] - 2023-07-13

Added

• Initial pypi release