7/23/2023 0 Comments Postgresql insert into select fromINSERT INTO table_name1įor example, we have a table called ’employees’ with columns first_name, last_name, department_id, and salary that is shown below. If you want to insert all the data from table_name2 into table_name1, then use this syntax. SELECT column_name1, column_name2, … FROM table_name2: This statement selects or copies the data from the table_name2.INSERT INTO table_name1 (column_name1, column_name2, …): The table_name1 is a target table where the data is inserted, and this data comes from another table name table_name2.INSERT INTO table_name1 (column_name1, column_name2. It consists of two statements “INSERT INTO” and “SELECT”, It first selects the data from the table2 and inserts the selected or copied data into the table1. ![]() ![]() You will use the statement “INSERT INTO table1 SELECT * FROM table2” that takes the data from table2 and insert it into table1. PostgreSQL Insert Into Table Select * From Another TableĬonsider a situation where you need to insert the data from one table to another table, “What will you do?”. PostgreSQL Insert Into Table Select * From Another Table.PostgreSQL 14.3 on aarch64-unknown-linux-gnu, compiled by aarch64-unknown-linux-gnu-gcc (GCC) 7.4. Worker 1: Batches: 261 Memory Usage: 4161kB Disk Usage: 6153240kB PostgreSQL Insert Statement for beginners and professionals with examples database, table, create, select, insert, update, delete, join, function, index. Worker 0: Batches: 261 Memory Usage: 4161kB Disk Usage: 6131464kB Sounds like exactly what we need You can check if you have the extension by querying the pgavailableextensions table. Worker 1: Sort Method: external merge Disk: 97728kB Worker 0: Sort Method: external merge Disk: 97448kB Sort Method: external merge Disk: 97656kB The best idea I could come up with was defining a cursor with the query and fetching forward by n lines and inserting within a loop, but I had difficulty coding it.Īs requested by here is the EXPLAIN: EXPLAIN (analyze, buffers, format text)įinalize GroupAggregate (cost=3949334137.38 rows=41854 width=80) (actual time=268097.741.274785.386 rows=6042999 loops=1)īuffers: shared hit=2460646 read=22955894, temp read=4585459 written=6307905 I think that I will have to chunk it, but I'm not sure what the best approach is. ![]() I didn't wait long enough to find out.ĬREATE TABLE AS SELECT is not an option because the derived_table is populated from many different data tables. With LIMIT 10000 the insert takes about 4s, with LIMIT 100000 about 240s, and with no LIMIT. The SELECT is reasonably fast, data_table has ~1 billion rows and is indexed by userid and service_date. SELECT userid, MIN(service_date) as min_date, MAX(service_date) AS max_date ![]() I have a simple derived table query that I am trying to execute efficiently: INSERT INTO derived_table
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