[create-pull-request] automated change (#790)

Co-authored-by: Github Build Bot <[email protected]>

.bumpversion.cfg

@@ -1,11 +1,5 @@
 [bumpversion]
-current_version = 1.3.1
-
-# `parse` allows parsing the version into the parts we need to check.  There are some
-# unnamed groups and that's okay because they do not need to be audited.  If any part
-# of the version passed and does not match the regex, it will fail.
-# expected matches: `1.5.0`, `1.5.0a1`, `1.5.0a1.dev123457+nightly`
-# excepted failures: `1`, `1.5`, `1.5.2-a1`, `text1.5.0`
+current_version = 1.3.2
 parse = (?P<major>[\d]+) # major version number
 	\.(?P<minor>[\d]+) # minor version number
 	\.(?P<patch>[\d]+) # patch version number

.changes/1.3.2.md

@@ -0,0 +1,8 @@
+## dbt-spark 1.3.2 - May 26, 2023
+
+### Fixes
+
+- Fixed issue where table materialization was not always properly refreshing for non-admin users on Databricks ([#725](https://github.com/dbt-labs/dbt-spark/issues/725))
+
+### Contributors
+- [@mikealfare](https://github.com/mikealfare) ([#725](https://github.com/dbt-labs/dbt-spark/issues/725))

CHANGELOG.md

@@ -4,6 +4,17 @@
 - Changes are listed under the (pre)release in which they first appear. Subsequent releases include changes from previous releases.
 - "Breaking changes" listed under a version may require action from end users or external maintainers when upgrading to that version.
 - Do not edit this file directly. This file is auto-generated using [changie](https://github.com/miniscruff/changie). For details on how to document a change, see [the contributing guide](https://github.com/dbt-labs/dbt-spark/blob/main/CONTRIBUTING.md#adding-changelog-entry)
+
+## dbt-spark 1.3.2 - May 26, 2023
+
+### Fixes
+
+- Fixed issue where table materialization was not always properly refreshing for non-admin users on Databricks ([#725](https://github.com/dbt-labs/dbt-spark/issues/725))
+
+### Contributors
+- [@mikealfare](https://github.com/mikealfare) ([#725](https://github.com/dbt-labs/dbt-spark/issues/725))
+
+
 ## dbt-spark 1.3.1 - January 20, 2023
 ### Fixes
 - Support new error messages in the future Spark. ([#515](https://github.com/dbt-labs/dbt-spark/issues/515), [#520](https://github.com/dbt-labs/dbt-spark/pull/520))
@@ -13,6 +24,7 @@
 
 ### Contributors
 - [@ueshin](https://github.com/ueshin) ([#520](https://github.com/dbt-labs/dbt-spark/pull/520))
+
 ## dbt-spark 1.3.0 - October 12, 2022
 ### Features
 - Support python model through notebook, currently supported materializations are table and incremental ([#417](https://github.com/dbt-labs/dbt-spark/issues/417), [#377](https://github.com/dbt-labs/dbt-spark/pull/377))
@@ -50,6 +62,7 @@
 - [@graciegoheen](https://github.com/graciegoheen) ([#454](https://github.com/dbt-labs/dbt-spark/pull/454))
 - [@jpmmcneill](https://github.com/jpmmcneill) ([#471](https://github.com/dbt-labs/dbt-spark/pull/471))
 - [@ueshin](https://github.com/ueshin) ([#474](https://github.com/dbt-labs/dbt-spark/pull/474))
+
 ## Previous Releases
 For information on prior major and minor releases, see their changelogs:
 - [1.2](https://github.com/dbt-labs/dbt-spark/blob/1.2.latest/CHANGELOG.md)

dbt/adapters/spark/__version__.py

@@ -1 +1 @@
-version = "1.3.1"
+version = "1.3.2"

setup.py

@@ -50,7 +50,7 @@ def _get_dbt_core_version():
 
 
 package_name = "dbt-spark"
-package_version = "1.3.1"
+package_version = "1.3.2"
 dbt_core_version = _get_dbt_core_version()
 description = """The Apache Spark adapter plugin for dbt"""