PostgreSQL Adapter-nexj/schema-test

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Revision as of 10:33, 10 December 2010 by Minooz (talk | contribs) (Working Inside Schema 'test')
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Working Inside Schema 'test'

===Initializing the sql

When a connection is first established, this initial SQL statement should execute in MySQL, which is not the case for PostgreSQL, so it was commented out:
/* MySQLAdapter.java */

public String getInitialSQL()
   {
      StringBuffer buf = new StringBuffer();

      buf.append("set sql_mode = concat(@@sql_mode, ',ANSI_QUOTES')"); // allow using doublequote when quoting column names in "CREATE TABLE" statements
      buf.append(";set optimizer_search_depth = 0"); // let DB automatically decide on how long it takes to examine plans, improves long planning sessions
      buf.append(";set max_sort_length = ").append
            (Math.max(MAX_VARCHAR_PRECISION, MAX_VARBINARY_PRECISION)); // set TEXT/BLOB minimum sorting length to be same as cutoff between varchar/text
      return buf.toString();
   }
Also the same line should be commented out in postgresql_create.sql script, which is being used to create tables in the database 'test':
/* nexj/core/persistence/sql/etc/postgresql_create.sql */
set sql_mode = concat(@@sql_mode, ',ANSI_QUOTES');
After activating the connection, the database is locked.
In MySQL, the storage engine is set to a transactional safe engine such as InnoDB, whereas PostgreSQL has a single built in engine. So, changes needed to be done to this script:
create table test.Account(
    id binary(16) not null, contactId binary(16) not null, account Type varchar(16) character set utf8 not null, funds double null,
    constraint Account_PK primary key(id)
 )engine=innoDB;
CREATE TABLE test.xxx
data types are changed in appendColumnType() in PostgreSQLSchemaManager.java based on each jdbc type's equivalent in PostgreSQL.
The implementation in crateTextTable in file PostgreSQLSchemaManager.java is removed for now (base class's version is being called).
CREATE INDEX test.xxx
CREATE Trigger test.xxx // if it's needed for PostgreSQL as well as MySQL