Add ALLOW FILTERING to CQL3 documentation

Project: http://git-wip-us.apache.org/repos/asf/cassandra/repo
Commit: http://git-wip-us.apache.org/repos/asf/cassandra/commit/4df6136d
Tree: http://git-wip-us.apache.org/repos/asf/cassandra/tree/4df6136d
Diff: http://git-wip-us.apache.org/repos/asf/cassandra/diff/4df6136d

Branch: refs/heads/cassandra-1.2
Commit: 4df6136d42a474dce7e3139f6ba4f28025e57bba
Parents: be36736
Author: Sylvain Lebresne <[email protected]>
Authored: Thu Jan 31 11:36:24 2013 +0100
Committer: Sylvain Lebresne <[email protected]>
Committed: Thu Jan 31 11:36:24 2013 +0100

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 doc/cql3/CQL.textile |   41 ++++++++++++++++++++++++++++++++++++++++-
 1 files changed, 40 insertions(+), 1 deletions(-)
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http://git-wip-us.apache.org/repos/asf/cassandra/blob/4df6136d/doc/cql3/CQL.textile
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diff --git a/doc/cql3/CQL.textile b/doc/cql3/CQL.textile
index a4d803c..dd4090b 100644
--- a/doc/cql3/CQL.textile
+++ b/doc/cql3/CQL.textile
@@ -564,6 +564,7 @@ bc(syntax)..
                   ( WHERE <where-clause> )?
                   ( ORDER BY <order-by> )?
                   ( LIMIT <integer> )?
+                  ( ALLOW FILTERING )?
 
 <select-clause> ::= <column-list>
                   | COUNT '(' ( '*' | '1' ) ')'
@@ -646,10 +647,48 @@ The @ORDER BY@ option allows to select the order of the 
returned results. It tak
 * if the table has been defined without any specific @CLUSTERING ORDER@, then 
then allowed orderings are the order induced by the clustering key and the 
reverse of that one.
 * otherwise, the orderings allowed are the order of the @CLUSTERING ORDER@ 
option and the reversed one.
 
-h4(#selectOther). Other options
+h4(#selectLimit). @LIMIT@
 
 The @LIMIT@ option to a @SELECT@ statement limits the number of rows returned 
by a query.
 
+h4(#selectAllowFiltering). @ALLOW FILTERING@
+
+By default, CQL only allows select queries that don't involve "filtering" 
server side, i.e. queries where we know that all (live) record read will be 
returned (maybe partly) in the result set. The reasoning is that those "non 
filtering" queries have predictable performance in the sense that they will 
execute in a time that is proportional to the amount of data *returned* by the 
query (which can be controlled through @LIMIT@).
+
+The @ALLOW FILTERING@ option allows to explicitely allow (some) queries that 
require filtering. Please note that a query using @ALLOW FILTERING@ may thus 
have unpredictable performance (for the definition above), i.e. even a query 
that selects a handful of records *may* exhibit performance that depends on the 
total amount of data stored in the cluster.
+
+For instance, considering the following table holding user profiles with their 
year of birth (with a secondary index on it) and country of residence:
+
+bc(sample).. 
+CREATE TABLE users (
+    username text PRIMARY KEY,
+    firstname text,
+    lastname text,
+    birth_year int,
+    country text
+)
+
+CREATE INDEX ON users(birth_year);
+p. 
+
+Then the following queries are valid:
+
+bc(sample). 
+SELECT * FROM users;
+SELECT firstname, lastname FROM users WHERE birth_year = 1981;
+
+because in both case, Cassandra guarantees that these queries performance will 
be proportional to the amount of data returned. In particular, if no users are 
born in 1981, then the second query performance will not depend of the number 
of user profile stored in the database (not directly at least: due to 2ndary 
index implementation consideration, this query may still depend on the number 
of node in the cluster, which indirectly depends on the amount of data stored.  
Nevertheless, the number of nodes will always be multiple number of magnitude 
lower than the number of user profile stored). Of course, both query may return 
very large result set in practice, but the amount of data returned can always 
be controlled by adding a @LIMIT@.
+
+However, the following query will be rejected:
+
+bc(sample). 
+SELECT firstname, lastname FROM users WHERE birth_year = 1981 AND country = 
'FR';
+
+because Cassandra cannot guarantee that it won't have to scan large amount of 
data even if the result to those query is small. Typically, it will scan all 
the index entries for users born in 1981 even if only a handful are actually 
from France. However, if you "know what you are doing", you can force the 
execution of this query by using @ALLOW FILTERING@ and so the following query 
is valid:
+
+bc(sample). 
+SELECT firstname, lastname FROM users WHERE birth_year = 1981 AND country = 
'FR' ALLOW FILTERING;
+
 
 h2(#types). Data Types
 

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