Insert cursors

Using insert cursors with non-Informix databases.

Database cursors defined with "DECLARE cursor-name CURSOR FOR INSERT ..." are designed for IBM® Informix®, to optimize row insertion when a lot of data must be loaded in the table.

This is an IBM Informix specifc feature. With non-Informix databases, insert cursors are emulated by executing the INSERT

DEFINE rec RECORD
           id    INTEGER,
           name  CHAR(100)
     END RECORD,
     i INTEGER
DECLARE c1 CURSOR FOR INSERT INTO customer VALUES (?,?)
BEGIN WORK
  OPEN c1
  FOR i=1 TO 100
      LET rec.id = i
      LET rec.name = "name"||i
      PUT c1 FROM rec.*
  END FOR
  FLUSH c1
  CLOSE c1
COMMIT WORK

Insert cursors are an IBM Informix specifc feature. The IBM Informix insert cursors buffers the provided rows and flushes blocks of rows into the database after a given number of rows, or when the program explicitly executes a FLUSH or CLOSE. In can of errors, for example when inserting a character string value for a numeric column, the SQL error is returned at "flush time" with Informix.

With non-Informix databases, the rows are not buffered: insert cursors are emulated in db drivers by executing the INSERT statement on every PUT instruction. As result, this can lead to poor performances, and SQL errors can be returned earlier at PUT time.

Note that the LOAD instruction is based on an insert cursor. The same performance issue applies to the LOAD instruction when using a non-Informix database.

If you need to feed your database with a lot of data, coming for example from external sources, we recommend to use database vendor specific tools to load the data. This option is much more efficient than using a Genero program to load data.

Table 1. INSERT cursors by database brands
Database Server Type INSERT cursor support
IBM DB2® LUW Emulated, see details
IBM Informix Yes, native SQL feature
IBM Netezza Emulated, see details
Microsoft™ SQL Server Emulated, see details
Oracle® MySQL / MariadDB Emulated, see details
Oracle Database Server Emulated, see details
PostgreSQL Emulated, see details
SAP HANA® Emulated, see details
SQLite Emulated, see details