Posts (page 68)
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5 min readTo clone a repository from Bitbucket into PyCharm, first make sure you have PyCharm installed on your computer. Then, open PyCharm and go to the "VCS" menu at the top. From there, select "Checkout from Version Control" and choose "Git."Next, enter the URL of the Bitbucket repository you want to clone into the designated field. You may need to provide your Bitbucket username and password to authenticate the process.
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5 min readTo change the name of a Bitbucket pipeline, you can navigate to the repository where the pipeline is configured. You will need to access the bitbucket-pipelines.yml file in the repository and locate the "pipelines" section. Within this section, you can change the name of the pipeline by editing the "name" parameter. Once you have made the desired changes, you can commit the changes to the repository, and the pipeline name will be updated.
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5 min readTo create a pull request on Bitbucket from the command line, you can follow these steps:Make sure you have Git installed on your system and have it configured with your Bitbucket account.Navigate to your local repository directory using the command line.Create a new branch for the changes you want to push to Bitbucket using the git checkout -b command.Make your changes to the code and commit them using the git add and git commit commands.
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6 min readTo execute regex inside a Bitbucket pipeline, you can use a script or command that includes regex patterns to search or replace text within your pipeline script or configuration file. You can incorporate regex functionality in your pipeline by using tools such as sed, awk, or any scripting language that supports regex operations.
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5 min readTo add a JMeter .jmx file in Bitbucket, you can first create a repository in Bitbucket where you want to store the .jmx file. Then, navigate to the repository and click on the "Upload files" button. Select the .jmx file from your local machine and upload it to the repository. You can also clone the repository to your local machine, copy the .jmx file into the cloned repository, commit the changes, and push the changes back to the Bitbucket repository. This will add the .
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4 min readTo add a webhook to a repository in Bitbucket using cURL, you can use the Bitbucket API. First, you need to generate an access token for authentication. Then, you can use cURL to make a POST request to the Bitbucket API endpoint for webhooks, specifying the repository and the webhook URL you want to add. Make sure to include the necessary headers and token in the request for authentication. After the request is successfully sent, the webhook will be added to the repository in Bitbucket.
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5 min readTo know the source of a commit in Bitbucket, you can navigate to the repository in which the commit was made. Once in the repository, you can click on the "Commits" tab to see a list of all the commits made to the repository. From there, you can click on the specific commit you are interested in to view more details such as the commit message, author, and the changes made in that commit.
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8 min readTo get a Bitbucket OAuth token via a bash script, you can use the Bitbucket REST API to authenticate and obtain the token. You will need to make a POST request to the Bitbucket API with your client ID and client secret in order to get the token. You can then use this token to make authenticated requests to the Bitbucket API on behalf of your user account. Be sure to securely store your client ID and secret, as they are sensitive information that should not be shared publicly.
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6 min readTo access Bitbucket from Python, you can use the Bitbucket API. Using the requests library in Python, you can make HTTP requests to the Bitbucket API endpoints to interact with repositories, branches, pull requests, and more. First, you will need to generate an API key or personal access token from your Bitbucket account settings. Then, you can use this token in your Python script to authenticate your requests.
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6 min readTo change the column datatype when loading a CSV file into PostgreSQL, you can use the \copy command to explicitly specify the data types for each column as you load the data. This allows you to cast the data to the desired type during the loading process.For example, if you have a CSV file with a column that contains numerical values but is being interpreted as text, you can cast that column to a numeric type when loading the data into a PostgreSQL table.
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5 min readTo set a table with IGNORE_DUP_KEY on PostgreSQL, you would need to utilize the ON CONFLICT clause when creating the table or altering an existing table. This clause allows you to specify how PostgreSQL should handle duplicate key violations when inserting data into the table.By adding ON CONFLICT (key_column) DO NOTHING to the end of your CREATE TABLE or ALTER TABLE statement, you are instructing PostgreSQL to ignore any duplicate key violations and not insert those rows into the table.
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6 min readTo use a synonym dictionary for full-text search in PostgreSQL, you first need to create a custom configuration file that includes all the required synonym mappings. This configuration file can be used to create a new text search configuration in PostgreSQL.You can then use the ALTER TEXT SEARCH CONFIGURATION command to set the configuration parameters to use the newly created synonym dictionary. This allows PostgreSQL to use the synonym mappings for full-text search queries.