Releases: fivetran/dbt_asana
v0.8.1 dbt_asana
PR #29 includes the following updates:
🎉 Feature Update 🎉
- Updated
int_asana__task_projects
to create the following new columns that are brought intoasana__task
. These new fields provide additional insight into your tasks.- project_ids
- project_names
- number_of_projects
- Note
project_ids
andproject_names
are aggregated lists of all ids/names associated with the task. You can parse or explode the items in the list using a comma + space (", "
) as a delimiter. To keep the table grain at the task_id level, this list is not parsed by default.- See also our documentation.
Contributors
Full Changelog: v0.8.0...v0.8.1
v0.8.0 dbt_asana
dbt_asana v0.7.0
🚨 Breaking Changes 🚨:
PR #23 includes the following breaking changes:
- Dispatch update for dbt-utils to dbt-core cross-db macros migration. Specifically
{{ dbt_utils.<macro> }}
have been updated to{{ dbt.<macro> }}
for the below macros:any_value
bool_or
cast_bool_to_text
concat
date_trunc
dateadd
datediff
escape_single_quotes
except
hash
intersect
last_day
length
listagg
position
replace
right
safe_cast
split_part
string_literal
type_bigint
type_float
type_int
type_numeric
type_string
type_timestamp
array_append
array_concat
array_construct
- For
current_timestamp
andcurrent_timestamp_in_utc
macros, the dispatch AND the macro names have been updated to the below, respectively:dbt.current_timestamp_backcompat
dbt.current_timestamp_in_utc_backcompat
dbt_utils.surrogate_key
has also been updated todbt_utils.generate_surrogate_key
. Since the method for creating surrogate keys differ, we suggest all users do afull-refresh
for the most accurate data. For more information, please refer to dbt-utils release notes for this update.- Dependencies on
fivetran/fivetran_utils
have been upgraded, previously[">=0.3.0", "<0.4.0"]
now[">=0.4.0", "<0.5.0"]
.
dbt_asana v0.6.0
Happy Monday! 👋
This release of dbt_asana
package includes the following updates:
🛠 Deprecated columns fix 🛠
🚨 Breaking Changes 🚨
- As per our Release Notes for the Asana connector, we have updated the
dbt_asana_source
package to remove deprecated columns from the Task table - please refer to the June 2021 and March 2021 release notes. The following columns have been deprecated from the Task table:assignee_status
hearted
- theliked
column has been added to replace heartednum_hearts
- thenum_likes
column has been added to replace num_hearts
Please be sure to update your queries.
🎉 Features 🎉
PR #19 introduced the following updates.
- PostgreSQL compatibility
- Updated README for enhanced user experience
Contributors
dbt_asana 0.5.0
🎉 dbt v1.0.0 Compatibility 🎉
🚨 Breaking Changes 🚨
- Adjusts the
require-dbt-version
to now be within the range [">=1.0.0", "<2.0.0"]. Additionally, the package has been updated for dbt v1.0.0 compatibility. If you are using a dbt version <1.0.0, you will need to upgrade in order to leverage the latest version of the package.- For help upgrading your package, I recommend reviewing this GitHub repo's Release Notes on what changes have been implemented since your last upgrade.
- For help upgrading your dbt project to dbt v1.0.0, I recommend reviewing dbt-labs upgrading to 1.0.0 docs for more details on what changes must be made.
- Upgrades the package dependency to refer to the latest
dbt_asana_source
. Additionally, the latestdbt_asana_source
package has a dependency on the latestdbt_fivetran_utils
. Further, the latestdbt_fivetran_utils
package also has a dependency ondbt_utils
[">=0.8.0", "<0.9.0"].- Please note, if you are installing a version of
dbt_utils
in yourpackages.yml
that is not in the range above then you will encounter a package dependency error.
- Please note, if you are installing a version of
dbt 0.20.0 Compatibility
🎉 dbt 0.20.0 Compatibility 🎉
🚨 This is a breaking change! 🚨 dbt v0.20.0 or greater is required for this release. If you are not ready to upgrade, consider using a previous release of this package.
Additional considerations when upgrading to this package:
- This package utilizes the latest
v0.7.x
release of thedbt-labls/dbt_utils
package. If your project also utilizes a version of thefishtown-analytics/dbt_utils
package then you will receive a duplicate package error. If this is the case you will need to consider upgrading your other packages to be compatible with this update or use a previous release of this package. - Similar to the above point, all previous Fivetran dbt packages utilize the
fishtown-analytics/dbt_utils
package and you will need to upgrade all Fivetran dbt packages to the latest dbt 0.20.0 compatibility releases in order for your packages to run without package conflicts.
Feature: Task Passthrough Columns
This release introduces new functionality -- the ability to add passthrough columns to the stg_asana__task
table.
Learn more about how to implement this here.
Package Updates
🚨 This update introduces breaking changes: Output models are renamed to include a double underscore between the source name and the table name. For example, asana_team.sql is now asana__team.sql. Additionally, this release introduces custom schemas to output final models into a respective <target.schema>+_asana
schema. Refer to the ReadMe for more details. 🚨
The release also:
- Introduces CircleCI testing
- Minor documentation updates
Package Upgrades
Updates package to be compatible with dbt 0.18.0. This is a breaking change!
🚨 dbt v0.18.0 or greater is required for this release. If you are not ready to upgrade, consider using a previous release of this package.
Additionally, this release:
- Updates dbt_utils dependency so to align with other Fivetran packages
- Coalesces the
_fivetran_deleted
field to account for null values - Implements a dependency on the
fivetran_utils
package - Adds coalesces to
number_of_[something]
fields
Initial Release
This is the initial release of this package.
This package enables you to better understand tasks and how they're being worked on in Asana. Its primary focus is on enhancing the task table and other core objects that relate to tasks: users, projects, teams, and tags. Each of these objects is enriched with metrics reflecting the volume and breadth of work being done now and the velocity of work that has been completed. Moreover, the daily metrics table lays out a timeline of task creations and completions for understanding the overall pace of deliverables at the organization.
Currently the package supports Redshift, BigQuery and Snowflake.