oreoxp.blogg.se

Import from dbschema file informix
Import from dbschema file informix







import from dbschema file informix import from dbschema file informix
  1. #IMPORT FROM DBSCHEMA FILE INFORMIX INSTALL#
  2. #IMPORT FROM DBSCHEMA FILE INFORMIX PORTABLE#
  3. #IMPORT FROM DBSCHEMA FILE INFORMIX CODE#

This file is locked every time it is accessed. Here are examples of connection strings for specific types of supported back-end databases (in all cases, we assume the database is running from localhost on its default port and is named "test"): ndb that in SQLite the database consists of a single file.

#IMPORT FROM DBSCHEMA FILE INFORMIX CODE#

The connection string is the only web2py code that depends on a specific back-end database. The constructor of DAL requires a single argument, the connection string. You are free to give it a different name.

#IMPORT FROM DBSCHEMA FILE INFORMIX INSTALL#

To use any other database back-end, run from the source distribution and install the appropriate driver for the required back end.ĭb = DAL ( 'sqlite://storage.sqlite', pool_size = 0 )ĭb is not a keyword it is a local variable that stores the connection object DAL. The Mac binary distribution works out of the box with SQLite. The Windows binary distribution works out of the box with SQLite, MSSQL, PostgreSQL and MySQL. The Gotchas section at the end of this chapter has some more information about specific databases. Google NoSQL is treated as a particular case in Chapter 13. Please check on the web2py web site and mailing list for more recent adapters. A partial list of supported databases is show in the table below.

#IMPORT FROM DBSCHEMA FILE INFORMIX PORTABLE#

The DAL dynamically generates the SQL in real time using the specified dialect for the database back end, so that you do not have to write SQL code or learn different SQL dialects (the term SQL is used generically), and the application will be portable among different types of databases.

  • You cannot use a shared memory connection when performing a table-level restore.Web2py comes with a Database Abstraction Layer (DAL), an API that maps Python objects into database objects such as queries, tables, and records.
  • You cannot restore data from a remote device.
  • Only a physical restore of BLOB or CLOB objects is supported for table-level restore operations using the archecker
  • You cannot logically restore a table when restoring smart large objects.
  • (Besides data-restore contexts, this limitation affects all archecker operations on tables with JSON or BSON columns.) If you try to use the utility with target tables that contain columns of JSON or BSON (binary JSON) data types, the utility will abort and return an error message.
  • The archecker utility is not JSON compatible.
  • The overview documentation page also lists these restrictions: You should therefore regularly save an up-to-date definition of each database with “dbschema -d database -ss -q filename“.
  • If you drop a table by accident, “archecker.sh” won’t work unless you recreate the empty table first.
  • Because “archecker” does not read logical logs from dbspaces, you may need to switch to the next logical log and ensure all are backed up before you attempt a restore to a recent point in time.
  • LOADED: stores_demo:items produced 67 rows. OnLine version: IBM Informix Dynamic Server Version 14.10.FC6DE IBM Informix Dynamic Server Version 14.10.FC6DEĬompiled: 06/07/21 13:57 on Linux 3.10.86_64 #1 SMP Thu Jul 6 19:56:Įxtracting table stores_demo:items into stores_demo:itemsĪrchive file /opt/ibm/backup/arch/ifx_0_L0 Then echo "restore to current with no log "Įcho "Check: $"Ĭopy to Clipboard $ archecker -tdvsf archecker.script # Doug Lawry, Oninit Consulting, September 2021Įcho "Usage: $0 database old-table new-table " Copy to Clipboard # Generate an Informix ontape table restore script









    Import from dbschema file informix