But there’s a problem with this approach. Inserting data one at a time into a PostgreSQL database isextremely slow. I ran this Rake task to insert over a million records and measured it withBenchmark. The report came back with a result of over 1.3 hours,that’s a long time. There's...
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Feature10 : Big data insert or update10.1 BulkCopy db.Fastest<Order>().BulkCopy(lstData);//insert db.Fastest<Order>().PageSize(100000).BulkCopy(insertObjs); db.Fastest<System.Data.DataTable>().AS("order").BulkCopy(dataTable); 10.2 BulkUpdate db.Fastest<Order>().BulkUpdate(GetList())...
If you need to insert multiple rows at the same time it's also much faster to do it with a single insert. Simply pass an array of objects to sql().const users = [{ name: 'Murray', age: 68, garbage: 'ignore' }, { name: 'Walter', age: 80 }] sql`insert into users ${ sql...
. The parameters are then sent separately to the database which handles escaping & casting.All queries will return a Result array, with objects mapping column names to each row.const xs = await sql` insert into users ( name, age ) values ( 'Murray', 68 ) returning * ` // xs = [{...
Please file an issue if there's something that you expected to work that didn't! Get data in Materialize can read data from Kafka and Redpanda, as well as directly from a PostgreSQL replication stream. It also supports regular database tables to which you can insert, update, and delete ...
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Feature10 : Big data insert or update10.1 BulkCopy db.Fastest<Order>().BulkCopy(lstData);//insert db.Fastest<Order>().PageSize(100000).BulkCopy(insertObjs); db.Fastest<System.Data.DataTable>().AS("order").BulkCopy(dataTable); 10.2 BulkUpdate db.Fastest<Order>().BulkUpdate(GetList())...
Now) .ToPageList(1,2); Feature10 : Big data insert or update10.1 BulkCopy db.Fastest<Order>().BulkCopy(lstData);//insert db.Fastest<Order>().PageSize(100000).BulkCopy(insertObjs); db.Fastest<System.Data.DataTable>().AS("order"...