Understanding the B-tree and hash data structures can help predict how 
different queries perform on different storage engines that use these data 
structures in their indexes, particularly for theMEMORY storage engine that lets you choose B-tree or 
hash indexes.
A B-tree index can be used for column comparisons in expressions that use 
the =, >, >=, <, <=, orBETWEEN operators. The index also can be used 
for LIKE comparisons if the argument to LIKE is a constant string that does not start 
with a wildcard character. For example, the following SELECTstatements use indexes:
SELECT * FROM tbl_name WHERE key_col LIKE ‘Patrick%‘; SELECT * FROM tbl_name WHERE key_col LIKE ‘Pat%_ck%‘;
In the first statement, only rows with ‘Patrick‘ 
<=  are considered. In the second statement, only rows 
with key_col < 
‘Patricl‘‘Pat‘ <=  are 
considered.key_col < ‘Pau‘
The following SELECT statements do not use indexes:
SELECT * FROM tbl_name WHERE key_col LIKE ‘%Patrick%‘; SELECT * FROM tbl_name WHERE key_col LIKE other_col;
In the first statement, the LIKE value begins with a wildcard character. In 
the second statement, the LIKE value is not a constant.
If you use ... LIKE ‘% and string%‘string is 
longer than three characters, MySQL uses the Turbo 
Boyer-Moore algorithm to initialize the pattern for the string and 
then uses this pattern to perform the search more quickly.
A search using col_name IS NULLcol_name is 
indexed.
Any index that does not span all AND levels in the WHERE clause is not used to optimize the query. In 
other words, to be able to use an index, a prefix of the index must be used in 
every AND group.
The following WHERE clauses use 
indexes:
... WHERE index_part1=1 AND index_part2=2 AND other_column=3 /* index = 1 OR index = 2 */ ... WHERE index=1 OR A=10 AND index=2 /* optimized like "index_part1=‘hello‘" */ ... WHERE index_part1=‘hello‘ AND index_part3=5 /* Can use index on index1 but not on index2 or index3 */ ... WHERE index1=1 AND index2=2 OR index1=3 AND index3=3;
These WHERE clauses do not use indexes:
/* index_part1 is not used */ ... WHERE index_part2=1 AND index_part3=2 /* Index is not used in both parts of the WHERE clause */ ... WHERE index=1 OR A=10 /* No index spans all rows */ ... WHERE index_part1=1 OR index_part2=10
Sometimes MySQL does not use an index, even if one is available. One 
circumstance under which this occurs is when the optimizer estimates that using 
the index would require MySQL to access a very large percentage of the rows in 
the table. (In this case, a table scan is likely to be much faster because it 
requires fewer seeks.) However, if such a query uses LIMIT to retrieve only some of the rows, MySQL uses 
an index anyway, because it can much more quickly find the few rows to return in 
the result.
Hash indexes have somewhat different characteristics from those just discussed:
They are used only for equality comparisons that use the = or <=> operators (but are very fast). 
  They are not used for comparison operators such as < that find a range of values. Systems that 
  rely on this type of single-value lookup are known as “key-value stores”; to use 
  MySQL for such applications, use hash indexes wherever possible.
The optimizer cannot use a hash index to speed up ORDER 
  BY operations. (This type of index cannot be used to search for 
  the next entry in order.)
MySQL cannot determine approximately how many rows there are between two 
  values (this is used by the range optimizer to decide which index to use). 
  This may affect some queries if you change a MyISAM table to a hash-indexed MEMORY table.
Only whole keys can be used to search for a row. (With a B-tree index, any leftmost prefix of the key can be used to find rows.)
参考:
http://dev.mysql.com/doc/refman/5.5/en/index-btree-hash.html
Comparison of B-Tree and Hash Indexes,布布扣,bubuko.com
Comparison of B-Tree and Hash Indexes
原文:http://www.cnblogs.com/xiaotengyi/p/3644317.html