Migrating .DBF files to Firebird 2.5: how create a query with UNION of different DBRMS - firebird

I want to transfer many tables from .DBF files (old DbIV) to Firebird; I utilize ZEOS components to Firebird connections and the transfer is simple: it is enough to replace the preceding queries with the new Zeos components.
But a large number of queries contain UNION and JOIN clauses, and the .DBF tables now are in different DBRMS. I know that is not possible for Firebird to join tables that "resides" in different databases (.fdb), but I must find a solution to join the same FB tables previously joined with .DBF files.
Do you have any suggestion as to how to solve this problem?

Related

Joining tables from separate postgres tables with Ecto.Query

I have a postgres database with two schemas that I often need to join between. I’ve been using the Repo.all(%{query | prefix: "customers"}) when it’s just one table, but I'm not sure the proper way to add a prefix when I'm joining "customers.contacts" with "accounts.details" in one query.

DB2 replication of records across differing schemas

We have 2 db2 instances, each with a DB having tables with differing sets of columns. For e.g. Table T1 has 5 columns in one DB while having 3 columns in the other DB.
We would like to replicate data from T1 from one DB to another. Whil replicating, we would additionally want to apply certain transformation so that the 5 columns in the source table can be mapped to 3 columns in the target.
SQL Server lets you modify the stored procs that insert the record in the target DB. Its called MCALL or XCALL mechanism.
Does DB2 have such a feature by which a source table having one schema can be replicated to a target table with a different schema?
Thanks,
Yash
There are various replication mechanisms that you can use with DB2, all of them allow you to manipulate replicated data. You didn't mention what type of replication you are planning to use; here's an example for SQL Replication: http://pic.dhe.ibm.com/infocenter/db2luw/v10r5/topic/com.ibm.swg.im.iis.db.repl.sqlrepl.doc/topics/iiyrssubmanipoverview.html

How to join Non-Spatial table to Spatial table in Postgis database (Both tables are in different database)

I need to join a Non-spatial table to Spatial table, but both are in different database.
Spatial_table(dbname:dist)
gid
district_name
district_code
geom
Non_Spatial(dbname:census)
ID
district_code
population
male_popu
female_popu
Can anyone please suggest me, How to relate the above to tables to get the query result for the population of specific district?
Also can anyone tell me about the difference between Joining and Relating of two tables.
You can't do a cross-database join in PostgreSQL. The way MySQL uses databases PostgreSQL uses schemas.
There is an add-on called dblink though which lets you query another PG database (even on another machine).
That's not going to be very efficient with a join though, because it's going to have to transfer a whole table in one direction or the other to do the comparisons. If you are going to regularly want to join tables they need to be in the same database (but perhaps separate schemas).

How to access multiple tables in sqlite3 for iphone sdk

In a single database example abc.sqlite has the 4 tables (cases,questions,category and options).
Each table has different columns.
How to get the data from table1 column1, table2 column 2.
How to write queries for that.
You want to learn more on SQL92 the query language for the databases, that let you select and insert data to your tables. Actually the sqlite documentation is one of the best because contains the useful syntax diagrams that you find on http://sqlite.com/lang.html

Joining Results from Two Separate Databases

Is it possible to JOIN rows from two separate postgres databases?
I am working with system with couple databases in one server and sometimes I really need such a feature.
According to http://wiki.postgresql.org/wiki/FAQ
There is no way to query a database other than the current one.
Because PostgreSQL loads database-specific system catalogs, it is
uncertain how a cross-database query should even behave.
contrib/dblink allows cross-database queries using function calls. Of
course, a client can also make simultaneous connections to different
databases and merge the results on the client side.
EDIT: 3 years later (march 2014), this FAQ entry has been revised and is more helpful:
How do I perform queries using multiple databases?
There is no way to directly query a database other than the current
one. Because PostgreSQL loads database-specific system catalogs, it is
uncertain how a cross-database query should even behave.
The SQL/MED support in PostgreSQL allows a "foreign data wrapper" to
be created, linking tables in a remote database to the local database.
The remote database might be another database on the same PostgreSQL
instance, or a database half way around the world, it doesn't matter.
postgres_fdw is built-in to PostgreSQL 9.3 and includes read/write
support; a read-only version for 9.2 can be compiled and installed as
a contrib module.
contrib/dblink allows cross-database queries using function calls and
is available for much older PostgreSQL versions. Unlike postgres_fdw
it can't "push down" conditions to the remote server, so it'll often
land up fetching a lot more data than you need.
Of course, a client can also make simultaneous connections to
different databases and merge the results on the client side.
Forget about dblink!
Say hello to Postgres_FDW:
To prepare for remote access using postgres_fdw:
Install the postgres_fdw extension using CREATE EXTENSION.
Create a foreign server object, using CREATE SERVER, to represent each remote database you want to connect to. Specify connection
information, except user, and password, as options of the server
object.
Create a user mapping, using CREATE USER MAPPING, for each database user you want to allow to access each foreign server. Specify
the remote user name and password to use as user and password options
of the user mapping.
Create a foreign table, using CREATE FOREIGN TABLE or IMPORT FOREIGN SCHEMA, for each remote table you want to access. The columns
of the foreign table must match the referenced remote table. You can,
however, use table and/or column names different from the remote
table's, if you specify the correct remote names as options of the
foreign table object.
Now you need only SELECT from a foreign table to access the data
stored in its underlying remote table.
It's really useful even on large data.
Yes, it is possible to do this using dblink albeit with significant performance considerations.
The following example will require the current SQL user to have permissions on both databases. If db2 is not located on the same cluster, then you will need to replace dbname=db2 with the full connection string defined in the dblink documentation.
SELECT *
FROM table1 tb1
LEFT JOIN (
SELECT *
FROM dblink('dbname=db2','SELECT id, code FROM table2')
AS tb2(id int, code text);
) AS tb2 ON tb2.column = tb1.column;
If table2 is very large, you could have performance issues because the sub-query loads up the entire table2 before performing the join.
No you can't. You could use dblink to connect from one database to another database, but that won't help if you're looking for JOIN's.
You can't use different SCHEMA's within a single database to store all you data?
Just a few steps and You can reach the goal:
follow this reference step by step
WE HAVE BEEN CONNECTED TO DB2 WITH TABLE TBL2 AND COLUMN COL2
ALSO THERE IS DB1 WITH TBL1 AND COLUMN COL1
*** connecting to second db ie db2
Now just **copy paste the 1-7 processes** (make sure u use correct username and password and ofcourse db name)
1.**CREATE EXTENSION dblink;**
2.**SELECT pg_namespace.nspname, pg_proc.proname
FROM pg_proc, pg_namespace
WHERE pg_proc.pronamespace=pg_namespace.oid
AND pg_proc.proname LIKE '%dblink%';**
3.**SELECT dblink_connect('host=localhost user=postgres password=postgres dbname=db1');**
4.**CREATE FOREIGN DATA WRAPPER postgres VALIDATOR postgresql_fdw_validator;**
5.**CREATE SERVER postgres2 FOREIGN DATA WRAPPER postgres OPTIONS (hostaddr '127.0.0.1', dbname 'db1');**
6.**CREATE USER MAPPING FOR postgres SERVER postgres2 OPTIONS (user 'postgres', password 'postgres');**
7.**SELECT dblink_connect('postgres2');**
---Now, you can SELECT the data of Database_One from Database_Two and even join both db results:
**SELECT * FROM public.dblink
('postgres2','SELECT col1,um_name FROM public.tbl1 ')
AS DATA(um_userid INTEGER),tbl2 where DATA.col1=tbl2.col2;**
You can also Check this :[How to join two tables of different databases together in postgresql [\[working finely in version 9.4\]][1]
You need to use dblink...as araqnid mentioned above, something like this works fine:
select ST.Table_Name, ST.Column_Name, DV.Table_Name, DV.Column_Name, *
from information_schema.Columns ST
full outer join dblink('dbname=otherdatabase','select Table_Name,
Column_Name from information_schema.Columns') DV(Table_Name text,
Column_Name text)
on ST.Table_Name = DV.Table_name
and ST.Column_Name = DV.Column_Name
where ST.Column_Name is null or DV.Column_Name is NULL
You have use dblink extension of postgresql.
Reference take from this Article:
DbLink extension of PostgreSQL which is used to connect one database to another database.
Install DbLink extension.
CREATE EXTENSION dblink;
Verify DbLink:
SELECT pg_namespace.nspname, pg_proc.proname
FROM pg_proc, pg_namespace
WHERE pg_proc.pronamespace=pg_namespace.oid
AND pg_proc.proname LIKE '%dblink%';
I have already prepared full demonstration on this. Please visit my post to learn step by step for executing cross database query in Postgresql.
Cannot be done? Of course we can, without special extensions. In our case, we had to compare two tables from different database servers, e.g. ACC and PROD, hence an even harder case than from most answers. Especially because ACC and PROD are deliberately on different servers to create a barrier, so you will not easily gain enough rights to perform a GRANT USAGE ON FOREIGN SERVER.
The obvious solution is to export both tables, and import both in the same database, e.g. DEV, or your own local db, under appropriate names, e.g. table1_acc and table1_prod, or schemas like acc and prod. Then, you may JOIN those with no special problems.