Posts - Page 75 (page 75)
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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.
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4 min readTo concatenate a new column on a query result in PostgreSQL, you can use the || operator. This operator is used for concatenating strings in PostgreSQL.For example, you can write a query like this:SELECT first_name || ' ' || last_name AS full_name FROM customers;In this query, the || operator is used to concatenate the first_name and last_name columns with a space in between, and the result is aliased as full_name.
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4 min readTo pass the query results to a mod function in PostgreSQL, you can first write your query to retrieve the required data. Then, you can use the result of this query as input to the mod function. Ensure that the datatype of the query result is compatible with the mod function. You can directly pass the query result as an argument to the mod function within your SQL statement. This will allow you to calculate the modulus of the query result using the mod function.
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6 min readTo catch the error raised from a PostgreSQL stored procedure in Java, you can use the standard JDBC error handling mechanisms.When calling a stored procedure from Java using JDBC, you can use a try-catch block to catch any SQLException that is thrown. This SQLException will contain information about the error raised by the stored procedure.
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8 min readTo find duplicate case insensitive records in PostgreSQL, you can use the LOWER function to convert the column values to lowercase before comparing them. This way, you can identify records that are the same regardless of their casing.
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4 min readIn PostgreSQL, you can apply a limit conditionally by using a CASE statement in your query. The CASE statement allows you to define different conditions and return different results based on those conditions.For example, if you only want to limit the number of results if a certain condition is met, you can use a CASE statement to check for that condition. If the condition is met, you can apply the limit using the LIMIT keyword.
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5 min readIn PostgreSQL's EXPLAIN ANALYZE feature, "unique" refers to the use of a unique index to enforce uniqueness in a table. When a query involves accessing a unique index to retrieve data, the "unique" keyword will appear in the EXPLAIN ANALYZE output. This indicates that PostgreSQL is using a unique index to efficiently retrieve and filter the data requested by the query.
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4 min readTo parse serialized JSON in PostgreSQL, you can use the json_populate_record function to convert a JSON object into a record type, json_populate_recordset to convert a JSON array into a set of records, or the jsonb_to_record function to convert a JSONB object into a record type. You can also use the json_extract_path_text function to extract specific values from a JSON object using JSONPath.