![]() ![]() Use Case 2: Data Migrationĭata migration is another common use case where you need to move data from one table or database to another. ![]() The columns in the table must match the columns in the CSV file. In this example, we are copying data from the CSV file “employees.csv” into the “employees” table. You can create a CSV file with the data and use the COPY command to load it into the table. This command allows you to copy data from a file directly into a table. The columns in the “employees” table must match the order and data types of the columns in the select statement.Īnother method for bulk data import is by using the COPY command. In this example, we are inserting data from the “temporary_employees” table into the “employees” table. This statement allows you to select data from one or more tables or even subqueries and insert it into another table. One way to achieve this is by using the INSERT INTO. One common use case is bulk data import, where you need to insert a large number of rows into a table. Postgresql provides several methods to insert multiple rows efficiently. When dealing with large datasets, it is often more efficient to insert multiple rows at once rather than executing individual insert statements for each row. Related Article: PostgreSQL HyperLogLog (HLL) & Cardinality Estimation Use Case 1: Bulk Data Import Use Cases of Inserting Multiple Rows in Postgresql
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