![]() ![]() To connect to PostgreSQL, set the Server, Port (the default port is 5432), and Database connection properties and set the User and Password you wish to use to authenticate to the server. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs. This is the last step of the driver installation. If you have not already, first specify connection properties in an ODBC DSN (data source name). Using the CData ODBC driver for PostgreSQL, you can update live PostgreSQL data in Microsoft Access for example, you can make updates that can be immediately seen by other users.Ĭonnect to PostgreSQL as an ODBC Data Source This includes many of the most popular productivity tools, adding new capabilities for document sharing and collaboration. This write-up explained how to update multiple table rows with the same or different values using the Postgres UPDATE query.CData ODBC drivers connect your data to any database management tool that supports Open Database Connectivity (ODBC). Skipping the WHERE clause will modify the entire table with the specified value. All the rows that satisfy the given criteria will be updated with the specified value in such a case. In the WHERE clause, users can specify a condition based on which the table will be updated. In Postgres, the UPDATE statement is used along with the SET clause to update any particular table record. In PostgreSQL, the UPDATE query must be executed with the semi-colon-separated syntax to modify multiple rows with different values. The output verified that multiple records had been updated in the emp_info table. Let’s verify the updated records using the SELECT statement: SELECT * FROM emp_info UPDATE emp_info SET emp_id = 13, emp_name = 'Ambrose' WHERE emp_id = 2 UPDATE emp_info SET emp_id = 12, emp_name = 'joe' WHERE emp_id = 1 We must execute the update query with the semi-colon-separated syntax to modify multiple rows with different values: UPDATE emp_info SET emp_id = 10, emp_name = 'joseph' WHERE emp_id = 3 The output authenticates that skipping the WHERE clause updated the whole column with the same value.Įxample 3: Updating Multiple Rows With Different Values Let’s verify the updated rows using the SELECT command: SELECT * FROM emp_info The output snippet shows that six records have been modified. ![]() The above snippet will update all the rows of the emp_name column with the same value, i.e., “Seth”: We can modify all table rows at once by skipping the WHERE clause from the UPDATE statement: UPDATE emp_info The output authenticates that multiple records have been updated with the same value.Įxample 2: Updating All Rows With the Same Value The output shows that three records have been updated, you can verify updated records using the following statement: We will update all employees whose emp_id is less than 4 with "Seth" by executing the below statement: UPDATE emp_info We have created a table named “emp_info” that contains the following records: SELECT * FROM emp_info Using the above syntax, you can modify one or more than one column.Įxample 1: Updating Multiple Rows With the Same Value SET column_1 = value_1, column_2 = value_2, …, column_n = value_n The below-mentioned syntax is used to update the table’s record with a new value: UPDATE tbl_name This write-up will teach you how to update several records using a single UPDATE statement. If you didn’t specify a WHERE clause in the UPDATE query, then the entire table will be modified with the specified value. UPDATE statement uses the WHERE clause to specify a condition for updating the specific table records. PostgreSQL provides an UPDATE statement that is used along with the SET clause to update any particular table record. ![]()
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