![]() ![]() To retrieve all rows from a certain offset up to the end of the result set, you can use some large number for the second parameter. What is the source DB being used? Maybe a reader here has a function/query/script handy for you! 'stackexchange' probably has. The offset of the initial row is 0 (not 1): SELECT FROM tbl LIMIT 5,10 Retrieve rows 6-15. What is the source DB being used? Maybe a reader here has a function/query/script handy for you! 'stackexchange' probably has. Or just run the task and see whether it fails or not, giving feedback to you design team to review the critical minimal data on failure. Just generate a table definition and feed it to a script to make the addition? Some database may not have this data ready for query. ![]() Wholesale Oracle solution: select table_name "Table Name", sum(data_length) "Max bytes" from dba_tab_columns group by table_name Just query dba_tab_columns or user_tab_columns for data_length with a 'where' on table_name as needed. The target limitation is bytes, best I know.Įach source DB has its own solution for the question. SELECT COUNT () FROM col WHERE CLAUSE SELECT FROM col WHERE CLAUSE LIMIT X. Returning a large number of records can impact on performance. The LIMIT clause makes it easy to code multi page results or pagination with SQL, and is very useful on large tables. ![]() MySQL provides a LIMIT clause that is used to specify the number of records to return. The question seems to be more a problem created by the target database for which the answer can only be provided by the source database and as such has nothing at all to do with Replicate which is 'only the messenger' - which will possibly be shot by the target.Īs you consider a solution to sum up the column sizes for a source database table, be sure the consider the impact of bytes vs characters where a single character may sometimes take up to 4 bytes, but typically will not. I want to catch X rows, thus, I set LIMIT X but how can I simultaneously count the total number of rows too Currently, I use two separate queries to do so as. Limit Data Selections From a MySQL Database. ![]()
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