A query to identify all the tables

Is there a way to write a query (excuse my ignorance) to identify all the tables where an specifc code resides? I have something to play with it
The table always have the SBGI_CODE identifier
For example:
SOBSBGI_SBGI_CODE
SORBCNT_SBGI_CODE
SORBCMT_SBGI_CODE
There are more tables, I am familiar with some of them, but not all of them I need to write a project plan, so I need to be able to identify all the tables and I am one the individuals who like SQL not reading documentation
If this is possible, I will appreciated any input

Or do you try to find all tables which names contain the string 'SBGI_CODE'?
Then USER_|ALL_|DBA_TABLES is the view to query upon.
You see, different answers to one question. That seems to imply that you did not give sufficient information. Please try to be as clear as possible next time.

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Hi all,
This is concerning a query to search each and every table/column for a given string.
I came across a similar post (Re: question about searching 600 tables and this query seems to be inline with my requirements:
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column_name,
:search_string search_string,
result
from cols,
xmltable(('ora:view("'||table_name||'")/ROW/'||column_name||'[ora:contains(text(),"%'|| :search_string || '%") > 0]')
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Edited by: itech.quest on Sep 19, 2010 8:30 AM

Hi Tamir,
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Our company provides data migration services for SAP and other ERP applications. Our customers provide us the specifications for extractions and conversions. We use one or more 3rd party tools to extract data from legacy systems into text/Excel files. Customers use LSMW to load generated files.
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In the past, customers would be more specific in their requirements. For example, they will mention Materials, Customers, Inventory, etc. In this case, the customer simply wants ALL the data for a given company code.
Q1. Is everything in SAP related to company code, either directly or indirectly? For example, can materials be filtered by company code?
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My feeling is the customer themselves are not clear on what they really want. Perhaps they are expecting us to guide them.
I would appreciate any thoughts that you may have.
If there is a more appropriate forum for this question, please let me know.
Thank you in advance for your help.
Regards,
Peter

hi
t001w is the master table for plants, u can see all plants in this table.
regads:
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Hi,
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Hi!
You may use this query:
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/yours sincerely
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How to generate test data for all the tables in oracle

I am planning to use plsql to generate the test data in all the tables in schema, schema name is given as input parameters, min records in master table, min records in child table. data should be consistent in the columns which are used for constraints i.e. using same column value..
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Ah, damorgan, data, test data, metadata and table-driven processes. Love the stuff!
There are two approaches you can take with this. I'll mention both and then ask which
one you think you would find most useful for your requirements.
One approach I would call the generic bottom-up approach which is the one I think you
are referring to.
This system is a generic test data generator. It isn't designed to generate data for any
particular existing table or application but is the general case solution.
Building on damorgan's advice define the basic hierarchy: table collection, tables, data; so start at the data level.
1. Identify/document the data types that you need to support. Start small (NUMBER, VARCHAR2, DATE) and add as you go along
2. For each data type identify the functionality and attributes that you need. For instance for VARCHAR2
a. min length - the minimum length to generate
b. max length - the maximum length
c. prefix - a prefix for the generated data; e.g. for an address field you might want a 'add1' prefix
d. suffix - a suffix for the generated data; see prefix
e. whether to generate NULLs
3. For NUMBER you will probably want at least precision and scale but might want minimum and maximum values or even min/max precision,
min/max scale.
4. store the attribute combinations in Oracle tables
5. build functionality for each data type that can create the range and type of data that you need. These functions should take parameters that can be used to control the attributes and the amount of data generated.
6. At the table level you will need business rules that control how the different columns of the table relate to each other. For example, for ADDRESS information your business rule might be that ADDRESS1, CITY, STATE, ZIP are required and ADDRESS2 is optional.
7. Add table-level processes, driven by the saved metadata, that can generate data at the record level by leveraging the data type functionality you have built previously.
8. Then add the metadata, business rules and functionality to control the TABLE-TO-TABLE relationships; that is, the data model. You need the same DETPNO values in the SCOTT.EMP table that exist in the SCOTT.DEPT table.
The second approach I have used more often. I would it call the top-down approach and I use
it when test data is needed for an existing system. The main use case here is to avoid
having to copy production data to QA, TEST or DEV environments.
QA people want to test with data that they are familiar with: names, companies, code values.
I've found they aren't often fond of random character strings for names of things.
The second approach I use for mature systems where there is already plenty of data to choose from.
It involves selecting subsets of data from each of the existing tables and saving that data in a
set of test tables. This data can then be used for regression testing and for automated unit testing of
existing functionality and functionality that is being developed.
QA can use data they are already familiar with and can test the application (GUI?) interface on that
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1. DEPT_TEST_BEFORE
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     CREATE TABLE DEPT_TEST_BEFORE
     TESTCASE NUMBER,
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     LOC VARCHAR2(13 BYTE)
2. DEPT_TEST_EXPECTED
     This table also has all EMP table columns and a TEST_CASE column.
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Each of these tables are a mirror image of the actual application table with one new column
added that contains a value representing the TESTCASE_NUMBER.
To create test case #3 identify or create the DEPT records you want to use for test case #3.
Insert these records into DEPT_TEST_BEFORE:
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Insert records for test case #3 into DEPT_TEST_EXPECTED that show the rows as they should
look after test #3 is run. For example, if test #3 creates one new record add all the
records fro the BEFORE data set and add a new one for the new record.
When you want to run TESTCASE_ONE the process is basically (ignore for this illustration that
there is a foreign key betwee DEPT and EMP):
1. delete the records from SCOTT.DEPT that correspond to test case #3 DEPT records.
          DELETE FROM DEPT
          WHERE DEPTNO IN (SELECT DEPTNO FROM DEPT_TEST_BEFORE WHERE TESTCASE = 3);
2. insert the test data set records for SCOTT.DEPT for test case #3.
          INSERT INTO DEPT
          SELECT DEPTNO, DNAME, LOC FROM DEPT_TEST_BEFORE WHERE TESTCASE = 3;
3 perform the test.
4. compare the actual results with the expected results.
     This is done by a function that compares the records in DEPT with the records
     in DEPT_TEST_EXPECTED for test #3.
     I usually store these results in yet another table or just report them out.
5. Report out the differences.
This second approach uses data the users (QA) are already familiar with, is scaleable and
is easy to add new data that meets business requirements.
It is also easy to automatically generate the necessary tables and test setup/breakdown
using a table-driven metadata approach. Adding a new test table is as easy as calling
a stored procedure; the procedure can generate the DDL or create the actual tables needed
for the BEFORE and AFTER snapshots.
The main disadvantage is that existing data will almost never cover the corner cases.
But you can add data for these. By corner cases I mean data that defines the limits
for a data type: a VARCHAR2(30) name field should have at least one test record that
has a name that is 30 characters long.
Which of these approaches makes the most sense for you?

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I need to find out all the tables, corresponding column name by querying a particular string that appears in any of the columns in the any of the tables in the db.
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I need a help in finding the data from all the database tables at one time using single query.
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Whatever.
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Spool that out to another script where each select statement is like this:
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Hi Thiru ,
its tough to give all.so pls see the below links u can get all.
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http://www.guidancetech.com/people/holland/sap/abap/
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The code would be
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SQL given to the Oracle SQL Engine cannot be dynamic ito scope and references - it must be static. For example, one cannot do this:
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A query to identify all the tables

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