1.12.0

.github/workflows/main-publish-release.yml

@@ -30,6 +30,24 @@ jobs:
 
       - uses: actions/checkout@v3
 
+      - name: Configure Git options
+        run: |
+          git config pull.rebase false
+          git config user.email "contact@dqops.com"
+          git config user.name "DQOps"
+
+      - name: Switch to the closed source edition
+        run: git remote add closedsource https://${{ secrets.PAID_REPOSITORY_USER }}:${{ secrets.PAID_REPOSITORY_TOKEN }}@${{ secrets.PAID_REPOSITORY_HOST }}${{ secrets.PAID_REPOSITORY_PATH }}
+
+      - name: Pull the closed source edition
+        run: git pull -q closedsource closedsource --allow-unrelated-histories --strategy-option=theirs
+
+      - name: Checkout the closed source edition
+        run: git checkout closedsource
+
+      - name: Merge changes to the closed source edition
+        run: git merge ${{ github.ref_name }}
+
       - name: Set up JDK 17
         uses: actions/setup-java@v3
         with:

.github/workflows/mvn-build-develop.yml

@@ -32,8 +32,26 @@ jobs:
 
       - uses: actions/checkout@v3
 
+      - name: Configure Git options
+        run: |
+          git config pull.rebase false
+          git config user.email "contact@dqops.com"
+          git config user.name "DQOps"
+
+      - name: Switch to the closed source edition
+        run: git remote add closedsource https://${{ secrets.PAID_REPOSITORY_USER }}:${{ secrets.PAID_REPOSITORY_TOKEN }}@${{ secrets.PAID_REPOSITORY_HOST }}${{ secrets.PAID_REPOSITORY_PATH }}
+
+      - name: Pull the closed source edition
+        run: git pull -q closedsource closedsource --allow-unrelated-histories --strategy-option=theirs
+
+      - name: Checkout the closed source edition
+        run: git checkout closedsource
+
       - name: Add SHORT_SHA env property with commit short sha
-        run: echo "SHORT_SHA=`echo ${GITHUB_SHA} | cut -c1-8`" >> $GITHUB_ENV
+        run: echo "SHORT_SHA=`echo ``git rev-parse --short=8 HEAD```" >> $GITHUB_ENV
+
+      - name: Merge changes to the closed source edition
+        run: git merge ${{ github.ref_name }}
 
       - name: Set up JDK 17
         uses: actions/setup-java@v3

.run/dqo run.run.xml

@@ -5,7 +5,7 @@
       <option name="region" />
       <option name="useCurrentConnection" value="false" />
     </extension>
-    <option name="JAR_PATH" value="$PROJECT_DIR$/dqops/target/dqo-dqops-1.11.6.jar" />
+    <option name="JAR_PATH" value="$PROJECT_DIR$/dqops/target/dqo-dqops-1.12.0.jar" />
     <option name="VM_PARAMETERS" value="-XX:MaxRAMPercentage=60.0 --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED" />
     <option name="PROGRAM_PARAMETERS" value="--server.port=8888 --dqo.python.debug-mode=silent" />
     <option name="WORKING_DIRECTORY" value="$PROJECT_DIR$" />

CHANGELOG.md

@@ -1,4 +1,7 @@
-# 1.11.6
+# 1.12.0
 
-* Shorten the browser caching duration for a list of dashboards.
-* Collect statistics for DATETIME types in BigQuery fixed after changes in the BQ interface
+* Fixes for working on a machine with a low CPU count (better MaxDOP management for Python processes)
+* Current DQ status calculated across different table comparisons.
+* Compare the first 1000 records, dropping the rest
+* Apply closed source code (2025-07-23)
+* Change the license to BUSL 1.1

NOTICE

@@ -3,3 +3,6 @@ Copyright 2021 and onwards Documati Sp. z o.o.
 
 This product includes software developed at
 Documati Sp. z o.o.  (https://dqops.com/).
+
+This code branch contains only the code published by Documati Sp. z o.o. for its customers.
+It does not contain closed source code owned by Documati Sp. z o.o.

README.md

@@ -1,33 +1,33 @@
 # DQOps Data Quality Operations Center
 
-DQOps is an DataOps friendly data quality monitoring tool with customizable data quality checks and data quality dashboards.
-DQOps comes with around 150 predefined data quality checks which helps you monitor the quality of your data.
+DQOps is a DataOps-friendly data quality monitoring tool with customizable data quality checks and data quality dashboards.
+DQOps comes with around 150 predefined data quality checks, which help you monitor the quality of your data.
 
 ![DQOps screens](https://dqops.com/docs/images/dqo-screens.gif)
 
 ## Key features
 - Intuitive graphical interface and access via CLI
 - Support of a number of different data sources: BigQuery, Snowflake, PostgreSQL, Redshift, SQL Server and MySQL
-- ~150 build-in table and column checks with easy customization
-- Table and column-level checks which allows writing your own SQL queries
+- ~150 built-in table and column checks with easy customization
+- Table and column-level checks, which allow writing your own SQL queries
 - Daily and monthly date partition testing
 - Data grouping by up to 9 different data grouping levels
-- Build-in scheduling
+- Built-in job scheduling
 - Calculation of data quality KPIs which can be displayed on multiple built-in data quality dashboards
 - Data quality incident management and notifications
 
 ## Installation
 
-To use DQOps you need:
+To use DQOps, you need:
 
 - Python version 3.8 or greater (for details see [Python's documentation](https://www.python.org/doc/) and [download sites](https://www.python.org/downloads/)).
 - Ability to install Python packages with pip.
-- If you want to compile DQOps locally, also Java JDK (version 17 or higher), and a configured JAVA_HOME environment variable.
+- If you want to compile DQOps locally, you also need Java JDK (version 17 or higher) and a configured JAVA_HOME environment variable.
 
 
 DQOps is available on [PyPi repository](https://pypi.org/project/dqops/).
 
-1. To install DQOps via pip manager just run
+1. To install DQOps via pip manager, just run
 
     ```
     python -m pip install --user dqops
@@ -55,10 +55,10 @@ DQOps is available on [PyPi repository](https://pypi.org/project/dqops/).
    After creating a user's home folder, you will be asked whether to log in to the DQO cloud. After typing Y, you will be
    redirected to [https://cloud.dqops.com/registration](https://cloud.dqops.com/registration), where you can create a new account, use Google single sign-on (SSO) or log in if you already have an account.
 
-   During the first registration, a unique identification code (API Key) will be generated and automatically retrieved by DQOps application.
+   During the first registration, a unique identification code (API Key) will be generated and automatically retrieved by the DQOps application.
    The API Key is now stored in the configuration file.
 
-5. Open the DQOps User Interface Console in your browser by CTRL-clicking on the link displayed on the command line (for example http://localhost:8888)
+5. Open the DQOps User Interface Console in your browser by CTRL-clicking on the link displayed on the command line (for example, http://localhost:8888)
    or by copying the link.
 
 
@@ -128,7 +128,7 @@ dqops_client = client.Client(base_url="http://localhost:8888")
 
 Alternatively, if you are connecting to a production instance of DQOps that has authentication
 enabled, you have to open the user's profile screen in DQOps and generate your DQOps API Key.
-Then take the key and use it as the token, when creating an `AuthenticatedClient` instead.
+Then take the key and use it as the token when creating an `AuthenticatedClient` instead.
 
 ```python
 from dqops import client
@@ -200,7 +200,7 @@ and how to configure data quality checks.
 
 ## Contact and issues
 
-If you find any issues with the tool, just post it here:
+If you find any issues with the tool, just post them here:
 
 https://github.com/dqops/dqo/issues
 

VERSION

@@ -1 +1 @@
-1.11.6
+1.12.0

distribution/dqo_docker_entrypoint.sh

@@ -1,18 +1,12 @@
 #!/bin/bash
 #
-# Copyright © 2021 DQOps (support@dqops.com)
+# Copyright © 2021-Present DQOps, Documati sp. z o.o. (support@dqops.com)
 #
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
+# This file is licensed under the Business Source License 1.1,
+# which can be found in the root directory of this repository.
 #
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
+# Change Date: This file will be licensed under the Apache License, Version 2.0,
+# four (4) years from its last modification date.
 #
 
 if [ -z "$DQO_JAVA_OPTS" ]; then

distribution/pom.xml

@@ -11,23 +11,23 @@
 
 	<groupId>com.dqops</groupId>
 	<artifactId>dqo-distribution</artifactId>
-    <version>1.11.6</version>  <!-- DQOps Version, do not touch (changed automatically) -->
+    <version>1.12.0</version>  <!-- DQOps Version, do not touch (changed automatically) -->
 	<name>dqo-distribution</name>
 	<description>DQOps Data Quality Operations Center final assembly</description>
 	<packaging>pom</packaging>
 
 	<properties>
 		<java.version>11</java.version>
-		<license.licenseName>apache_v2</license.licenseName>
+		<license.licenseName>busl_v1_1</license.licenseName>
 		<compressZip>false</compressZip>
 	</properties>
 
 	<licenses>
 		<license>
-			<name>Apache 2.0</name>
-			<url>http://www.apache.org/licenses/LICENSE-2.0.txt</url>
+			<name>BUSL-1.1</name>
+			<url>https://spdx.org/licenses/BUSL-1.1.html</url>
 			<distribution>repo</distribution>
-			<comments>A business-friendly OSS license</comments>
+			<comments>Business Source License 1.1</comments>
 		</license>
 	</licenses>