SUBSTRING_INDEX() function. My solution is combined with a string function substring_index() and a set operator union to stack the same table 3 times. ⚈ The composite PRIMARY KEY goes straight to the desired row, no digression through secondary index, nor search through multiple rows. If you issue "SELECT FOUND_ROWS()" just in sequence, in the same connection resource, it allways returns 0 rather than expected 5. Just switch mysql.trace_mode to Off and things will work. Conclusion. mysql> select id, substring_index(substring_index(name, ' ', 1), ' ', -1) name from teams -> union -> select id, substring_index(substring_index(name, ' ', 2), ' ', -1) name from teams This helps to reduce the load on the server. Multiple column index vs multiple indexes?

How can we stack individual words as rows?

mysql_num_rows() returns 1 as expected. The behaviour of mysqli_num_rows() depends on whether buffered or unbuffered result sets are being used. MySQL SUBSTRING_INDEX() returns the substring from the given string before a specified number of occurrences of a delimiter. suppose table t has three rows, such that "select letter from t" returns A B C Is there a way to to return the row index of the record returned in the result set such that we get ("select row(), letter from t" possibly) ?

For unbuffered result sets, mysqli_num_rows() will not return the correct number of rows until all the rows in the result have been retrieved. ⚈ InnoDB is required for the … Returns the number of rows in the result set. The substring returned from the left of the final delimiter when the specified number is a positive number and from the right of the final delimiter when the specified number is a negative number. We shall go in detail about the advantages of LIMIT statement in MySQL, but firstly, in this MySQL Tutorial, let us see how to limit the number of records. Having indexes on single columns often lead to the optimizer using the index_merge access type, which is typically not as good as accessing a single index on multiple columns.MySQL 5.6 makes multiple column indexes more efficient than before with index condition pushdown. So indexed lookups are done in two parts: First MySQL goes to an index and pulls from it the primary key values that it needs to find, then it does a second lookup on the primary key index to find where those values are. The rows value indicates that MySQL will read 142 rows for this query. If there are 142 total rows in the table, this means MySQL must examine every row to generate the result set. Mysql 5.0 stores indexes in two pieces -- it stores indexes (other than the primary index) as indexes to the primary key values. The possible_keys and key values are both NULL, which indicates that MySQL does not have an index it can use for this query. ⚈ INDEX(meta_key) may or may not be useful, depending on what other queries you have. 1 A 2 B 3 C Thanks, Joe Does your MySQL table has large number of records and SELECT statements are fetching many records?

Well you can limit the number of records a SELECT query can fetch from the database.