NAME¶
MongoDB::Examples - Some examples of MongoDB syntax
MAPPING SQL TO MONGODB¶
For developers familiar with SQL, the following chart should help you see how
many common SQL queries could be expressed in MongoDB.
These are Perl-specific examples of translating SQL queries to MongoDB's query
language. To see the JavaScript (or other languages') mappings, see
<
http://dochub.mongodb.org/core/sqlToMongo>.
- "CREATE TABLE USERS (a Number, b Number)"
Implicit, can be done explicitly.
- "INSERT INTO USERS VALUES(1,1)"
-
$db->users->insert({a => 1, b => 1});
- "SELECT a,b FROM users"
-
$db->users->find({}, {a => 1, b => 1});
- "SELECT * FROM users"
-
$db->users->find;
- "SELECT * FROM users WHERE age=33"
-
$db->users->find({age => 33})
- "SELECT a,b FROM users WHERE age=33"
-
$db->users->find({age => 33}, {a => 1, b => 1});
- "SELECT * FROM users WHERE age=33 ORDER BY
name"
-
$db->users->find({age => 33})->sort({name => 1});
- "<SELECT * FROM users WHERE
age"33>>
-
$db->users->find({age => {'$gt' => 33}})
- "<SELECT * FROM users WHERE
age<33">
-
$db->users->find({age => {'$lt' => 33}})
- "SELECT * FROM users WHERE name LIKE
"%Joe%""
-
$db->users->find({name => qr/Joe/});
- "SELECT * FROM users WHERE name LIKE
"Joe%""
-
$db->users->find({name => qr/^Joe/});
- "<SELECT * FROM users WHERE age"33 AND
age<=40>>
-
$db->users->find({age => {'$gt' => 33, '$lte' => 40}});
- "SELECT * FROM users ORDER BY name DESC"
-
$db->users->find->sort({name => -1});
- "CREATE INDEX myindexname ON users(name)"
-
$db->users->ensure_index({name => 1});
- "CREATE INDEX myindexname ON users(name,ts
DESC)"
-
$db->users->ensure_index(Tie::IxHash->new(name => 1, ts => -1));
- "SELECT * FROM users WHERE a=1 and b='q'"
-
$db->users->find({a => 1, b => "q"});
- "SELECT * FROM users LIMIT 10 SKIP 20"
-
$db->users->find->limit(10)->skip(20);
- "SELECT * FROM users WHERE a=1 or b=2"
-
$db->users->find({'$or' => [{a => 1}, {b => 2}]});
- "SELECT * FROM users LIMIT 1"
-
$db->users->find->limit(1);
- "EXPLAIN SELECT * FROM users WHERE z=3"
-
$db->users->find({z => 3})->explain;
- "SELECT DISTINCT last_name FROM users"
-
$db->run_command({distinct => "users", key => "last_name"});
- "SELECT COUNT(*y) FROM users"
-
$db->users->count;
- "<SELECT COUNT(*y) FROM users where age "
30>>
-
$db->users->find({"age" => {'$gt' => 30}})->count;
- "SELECT COUNT(age) from users"
-
$db->users->find({age => {'$exists' => 1}})->count;
- "UPDATE users SET a=1 WHERE b='q'"
-
$db->users->update({b => "q"}, {'$set' => {a => 1}});
- "UPDATE users SET a=a+2 WHERE b='q'"
-
$db->users->update({b => "q"}, {'$inc' => {a => 2}});
- "DELETE FROM users WHERE z="abc""
-
$db->users->remove({z => "abc"});
DATABASE COMMANDS¶
Distinct¶
The distinct command returns all values for a given key in a collection. For
example, suppose we had a collection with the following documents
("_id" value ignored):
{ 'name' => 'a', code => 1 }
{ 'name' => 'b', code => 1 }
{ 'name' => 'c', code => 2 }
{ 'name' => 'd', code => "3" }
If we wanted to see all of values in the "code" field, we could run:
my $result = $db->run_command([
"distinct" => "collection_name",
"key" => "code",
"query" => {}
]);
Notice that the arguments are in an array, to ensure that their order is
preserved. You could also use a Tie::IxHash.
"query" is an optional argument, which can be used to only run
"distinct" on specific documents. It takes a hash (or Tie::IxHash or
array) in the same form as "find($query)" in MongoDB::Collection.
Running "distinct" on the above collection would give you:
{
'ok' => '1',
'values' => [
1,
2,
"3"
]
};
Find-and-modify¶
The find-and-modify command is similar to update (or remove), but it will return
the modified document. It can be useful for implementing queues or locks.
For example, suppose we had a list of things to do, and we wanted to remove the
highest-priority item for processing. We could do a "find" in
MongoDB::Collection and then a "remove" in MongoDB::Collection, but
that wouldn't be atomic (a write could occur between the query and the
remove). Instead, we can use find and modify.
my $next_task = $db->run_command({
findAndModify => "todo",
sort => {priority => -1},
remove => 1
});
This will atomically find and pop the next-highest-priority task.
See <
http://www.mongodb.org/display/DOCS/findAndModify+Command> for more
details on find-and-modify.
Group¶
The group command is similar to "GROUP BY" in SQL. You can use the
"run_command" in MongoDB::Database method to perform group-bys with
MongoDB.
For example, suppose we have a number of local businesses stored in a
"business" collection. If we wanted to find the number of
coffeeshops in each neighborhood, we could do:
my $reduce = <<REDUCE;
function(doc, prev) {
for (var t in doc.tags) {
if (doc.tags[t] == "coffeeshop") {
prev["num coffeeshops"]++;
break;
}
}
}
REDUCE
my $result = $db->run_command({group => {
'ns' => "business",
'key' => {"neighborhood" => 1},
'initial' => {"num coffeeshops" => 0},
'$reduce' => MongoDB::Code->new(code => $reduce)
This would return something like:
{
'ok' => '1',
'keys' => 4,
'count' => '487', # total number of documents
'retval' => [
{
'neighborhood' => 'Soho',
'num coffeeshops' => '23'
},
{
'neighborhood' => 'Chinatown',
'num coffeeshops' => '14'
},
{
'neighborhood' => 'Upper East Side',
'num coffeeshops' => '10'
},
{
'neighborhood' => 'East Village',
'num coffeeshops' => '87'
}
]
};
Thus, there are 23 coffeeshops in Soho, 14 in Chinatown, and so on.
See <
http://www.mongodb.org/display/DOCS/Aggregation> for more details on
grouping.
MapReduce¶
MapReduce is a powerful aggregation tool. (For traditional queries, you should
use "MongoDB::Collection::query".)
This example counts the number of occurences of each tag in a collection. Each
document contains a "tags" array that contains zero or more strings.
my $map = <<MAP;
function() {
this.tags.forEach(function(tag) {
emit(tag, {count : 1});
});
}
MAP
my $reduce = <<REDUCE;
function(prev, current) {
result = {count : 0};
current.forEach(function(item) {
result.count += item.count;
});
return result;
}
REDUCE
my $cmd = Tie::IxHash->new("mapreduce" => "foo",
"map" => $map,
"reduce" => $reduce);
my $result = $db->run_command($cmd);
See the MongoDB documentation on MapReduce for more information
(<
http://dochub.mongodb.org/core/mapreduce>).
UPDATING¶
Positional Operator¶
In MongoDB 1.3.4 and later, you can use positional operator, "$", to
update elements of an array. For instance, suppose you have an array of user
information and you want to update a user's name.
A sample document in JavaScript:
{
"users" : [
{
"name" : "bill",
"age" : 60
},
{
"name" : "fred",
"age" : 29
},
]
}
The update:
$coll->update({"users.name" => "fred"}, {'users.$.name' => "george"});
This will update the array so that the element containing "name" =>
"fred" now has "name" => "george".