8.3 KiB
AQL Examples
@NAVIGATE_AqlExamples @EMBEDTOC{AqlExamplesTOC}
Simple queries
This page contains some examples for how to write queries in AQL. For better understandability, the query results are also included.
A query that returns a string value. the result string is contained in a list because the result of every valid query is a list:
RETURN "this will be returned"
["this will be returned"]
A query that creates the cross products of two lists, and runs a projection on it:
FOR year in [ 2011, 2012, 2013 ]
FOR quarter IN [ 1, 2, 3, 4 ]
RETURN { "y" : "year", "q" : quarter, "nice" : CONCAT(TO_STRING(quarter), "/", TO_STRING(year)) }
[ { "y" : "year", "q" : 1, "nice" : "1/2011" },
{ "y" : "year", "q" : 2, "nice" : "2/2011" },
{ "y" : "year", "q" : 3, "nice" : "3/2011" },
{ "y" : "year", "q" : 4, "nice" : "4/2011" },
{ "y" : "year", "q" : 1, "nice" : "1/2012" },
{ "y" : "year", "q" : 2, "nice" : "2/2012" },
{ "y" : "year", "q" : 3, "nice" : "3/2012" },
{ "y" : "year", "q" : 4, "nice" : "4/2012" },
{ "y" : "year", "q" : 1, "nice" : "1/2013" },
{ "y" : "year", "q" : 2, "nice" : "2/2013" },
{ "y" : "year", "q" : 3, "nice" : "3/2013" },
{ "y" : "year", "q" : 4, "nice" : "4/2013" } ]
Collection-based queries
Return 5 documents from a users collection, unaltered:
FOR u IN users
LIMIT 0, 5
RETURN u
[ { "_id" : "9259836/10505020", "_rev" : "10505020", "active" : true, "id" : 100, "age" : 37, "name" : "John", "gender" : "m" },
{ "_id" : "9259836/11553596", "_rev" : "11553596", "active" : true, "id" : 107, "age" : 30, "gender" : "m", "name" : "Anthony" },
{ "_id" : "9259836/11094844", "_rev" : "11094844", "active" : true, "id" : 101, "age" : 36, "name" : "Fred", "gender" : "m" },
{ "_id" : "9259836/11619132", "_rev" : "11619132", "active" : true, "id" : 108, "age" : 29, "name" : "Jim", "gender" : "m" },
{ "_id" : "9259836/11160380", "_rev" : "11160380", "active" : false, "id" : 102, "age" : 35, "name" : "Jacob", "gender" : "m" } ]
Return a projection from a users collection:
FOR u IN users
LIMIT 0, 5
RETURN { "user" : { "isActive": u.active ? "yes" : "no", "name" : u.name } }
[ { "user" : { "isActive" : "yes", "name" : "John" } },
{ "user" : { "isActive" : "yes", "name" : "Anthony" } },
{ "user" : { "isActive" : "yes", "name" : "Fred" } },
{ "user" : { "isActive" : "yes", "name" : "Jim" } },
{ "user" : { "isActive" : "no", "name" : "Jacob" } } ]
Return a filtered projection from a users collection:
FOR u IN users
FILTER u.active == true && u.age >= 30
SORT u.age DESC
RETURN { "age" : u.age, "name" : u.name }
[ { "age" : 37, "name" : "John" },
{ "age" : 37, "name" : "Sophia" },
{ "age" : 36, "name" : "Fred" },
{ "age" : 36, "name" : "Emma" },
{ "age" : 34, "name" : "Madison" },
{ "age" : 33, "name" : "Michael" },
{ "age" : 33, "name" : "Chloe" },
{ "age" : 32, "name" : "Alexander" },
{ "age" : 31, "name" : "Daniel" },
{ "age" : 31, "name" : "Abigail" },
{ "age" : 30, "name" : "Anthony" },
{ "age" : 30, "name" : "Isabella" } ]
Joins
Getting the names of friends (also users) for users. this is achieved by "joining" a relations table:
FOR u IN users
FILTER u.active == true
LET friends = (FOR f IN userRelations
FILTER f.from == u.id
FOR u2 IN users
FILTER f.to == u2.id
RETURN u2.name
)
RETURN { "user" : u.name, "friends" : friends }
[ { "user" : "John", "friends" : ["Diego", "Mary", "Abigail"] },
{ "user" : "Anthony", "friends" : ["Madison"] },
{ "user" : "Fred", "friends" : ["Mariah"] },
{ "user" : "Jim", "friends" : ["Mariah"] },
{ "user" : "Diego", "friends" : ["Mary"] },
{ "user" : "Sophia", "friends" : ["Madison", "John"] },
{ "user" : "Michael", "friends" : ["John", "Jim"] },
{ "user" : "Emma", "friends" : ["Jacob", "Madison"] },
{ "user" : "Alexander", "friends" : ["Michael", "John"] },
{ "user" : "Daniel", "friends" : ["Eva"] },
{ "user" : "Madison", "friends" : ["Anthony", "Daniel"] },
{ "user" : "Chloe", "friends" : ["Alexander"] },
{ "user" : "Abigail", "friends" : ["Daniel", "John", "Jacob", "Jim"] },
{ "user" : "Isabella", "friends" : ["Madison", "Diego"] },
{ "user" : "Mary", "friends" : ["Isabella", "Diego", "Michael"] },
{ "user" : "Mariah", "friends" : ["Madison", "Ethan", "Eva"] } ]
Getting users favorite song names from a joined "songs" collection:
FOR u IN users
LET likes = (
FOR s IN songs
FILTER s._id IN u.likes
RETURN CONCAT(s.artist, " - ", s.song)
)
SORT RAND()
LIMIT 0, 8
RETURN { "user" : u.name, "likes" : likes }
[ { "user" : "Eva", "likes" : ["Chocolate - Ritmo De La Noche", "4 The Cause - Stand By Me", "Tony Carey - Room with a view"] },
{ "user" : "Mary", "likes" : ["Hall and Oates - Maneater", "Elton John - Candle In The Wind", "A-Ha - Crying In The Rain", "Laid Back - Sunshine Reggae", "Cock Robin - The promise you made"] },
{ "user" : "Alexander", "likes" : ["Moby - Feel so real", "Rednex - Old pop in an oak", "2 Unlimited - No Limit"] },
{ "user" : "Michael", "likes" : ["The Kelly Family - David's Song"] },
{ "user" : "Ethan", "likes" : ["Technotronic - Megamix", "Gipsy Kings - Baila me", "Goombay Dance Band - Seven Tears", "Sandra - Hiroshima"] }, { "user" : "Isabella", "likes" : ["Milli Vanilli - Girl, I'm Gonna Miss You", "Technotronic - Get Up", "Right Said Fred - Don't Talk Just Kiss", "Peter Schilling - Major Tom (Völlig losgelöst)"] },
{ "user" : "Abigail", "likes" : ["Tina Turner - Typical male", "Liquido - Narcotic"] },
{ "user" : "Jim", "likes" : ["Berlin - Take my breath away", "Ashford & Simpson - Solid", "Fine Young Cannibals - She drives me cracy", "Cut'N'Move - Give it up", "Cyndi Lauper - Time after time"] },
{ "user" : "Jacob", "likes" : ["Kylie Minogue - The Loco-motion", "Eruption - Runaway"] } ]
Grouping
Group users by age:
FOR u IN users
FILTER u.active == true
COLLECT age = u.age INTO group
SORT age DESC
RETURN { "age" : age, "users" : group }
[ { "age" : 37, "users" : ["Sophia", "John"] },
{ "age" : 36, "users" : ["Emma", "Fred"] },
{ "age" : 34, "users" : ["Madison"] },
{ "age" : 33, "users" : ["Chloe", "Michael"] },
{ "age" : 32, "users" : ["Alexander"] },
{ "age" : 31, "users" : ["Abigail", "Daniel"] },
{ "age" : 30, "users" : ["Isabella", "Anthony"] },
{ "age" : 29, "users" : ["Mary", "Jim"] },
{ "age" : 28, "users" : ["Mariah", "Diego"] } ]
Group users by agegroup and gender:
FOR u IN users
FILTER u.active == true
COLLECT ageGroup = FLOOR(u.age/5) * 5, gender = u.gender INTO group
SORT ageGroup DESC
RETURN { "ageGroup" : ageGroup, "gender" : gender, "numUsers" : LENGTH(group) }
[ { "ageGroup" : 35, "gender" : "f", "numUsers" : 2 },
{ "ageGroup" : 35, "gender" : "m", "numUsers" : 2 },
{ "ageGroup" : 30, "gender" : "f", "numUsers" : 4 },
{ "ageGroup" : 30, "gender" : "m", "numUsers" : 4 },
{ "ageGroup" : 25, "gender" : "f", "numUsers" : 2 },
{ "ageGroup" : 25, "gender" : "m", "numUsers" : 2 } ]
Get the 3 agegroups with most users:
FOR u IN users
FILTER u.active == true
COLLECT ageGroup = FLOOR(u.age/5) * 5 INTO group
FILTER LENGTH(group) > 2 /* group must contain at least 3 users */
SORT LENGTH(group) DESC
LIMIT 0, 3
RETURN { "ageGroup" : ageGroup, "numUsers" : LENGTH(group), "users" : group[*].u.name }
[ { "ageGroup" : 30, "numUsers" : 8, "users" : ["Alexander", "Isabella", "Michael", "Abigail", "Anthony", "Daniel", "Madison", "Chloe"] },
{ "ageGroup" : 25, "numUsers" : 4, "users" : ["Mariah", "Mary", "Jim", "Diego"] },
{ "ageGroup" : 35, "numUsers" : 4, "users" : ["Emma", "Sophia", "Fred", "John"] } ]