- Expanded the variable
github__using_repo_team
to also toggle on/off theTEAM
table along with and in addition to theREPO_TEAM
table. This was done to fix issues with dependent models in our transform package, whereTEAM
is only ever used in conjunction withREPO_TEAM
. (#32)
- PostgreSQL compatibility! (#32)
PR #26 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
- Dependencies on
fivetran/fivetran_utils
have been upgraded, previously[">=0.3.0", "<0.4.0"]
now[">=0.4.0", "<0.5.0"]
.
- Updated README documentation for easier navigation and dbt package setup #26.
- Included the
github_[source_table_name]_identifier
variables for easier flexibility of the package models to refer to differently named sources tables #26. - Added Databricks compatibility #29.
- Addition of the
label
source table. This was necessary as theissue_label
depreciated thelabel
column. The respective label information will now be synced within thelabel
table. (#22)- If you do not have the new
label
table in your source, we highly recommend you enable schema changes on your connector and kick off a resync to see the new tables reflected in your source.
- If you do not have the new
- Added the
{{ dbt_utils.type_timestamp() }}
cast function to timestamp fields within the staging models. This is required for Redshift users that have the fields originally synced astimestamptz
. Without the casting of fields the downstream date functions will fail. (#19)
🎉 dbt v1.0.0 Compatibility 🎉
- 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_fivetran_utils
. 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
Refer to the relevant release notes on the Github repository for specific details for the previous releases. Thank you!