
sdk.static.AdmAql101.demo.html Maven / Gradle / Ivy
AsterixDB TinySocial Demo
AQL: Querying TinySocial AsterixDB
Query 0-A - Exact-Match Lookup
use dataverse TinySocial;
for $user in dataset FacebookUsers
where $user.id = 8
return $user;
var expression0a = new FLWOGRExpression()
.ForClause("$user", new AExpression("dataset FacebookUsers"))
.WhereClause(new AExpression("$user.id = 8"))
.ReturnClause("$user");
Query 0-B - Range Scan
use dataverse TinySocial;
for $user in dataset FacebookUsers
where $user.id >= 2 and $user.id <= 4
return $user;
var expression0b = new FLWOGRExpression()
.ForClause("$user", new AExpression("dataset FacebookUsers"))
.WhereClause().and(new AExpression("$user.id >= 2"), new AExpression("$user.id <= 4"))
.ReturnClause("$user");
Query 1 - Other Query Filters
use dataverse TinySocial;
for $user in dataset FacebookUsers
where $user.user-since >= datetime('2010-07-22T00:00:00')
and $user.user-since <= datetime('2012-07-29T23:59:59')
return $user;
var expression1 = new FLWOGRExpression()
.ForClause("$user", new AExpression("dataset FacebookUsers"))
.WhereClause().and(
new AExpression("$user.user-since >= datetime('2010-07-22T00:00:00')"),
new AExpression("$user.user-since <= datetime('2012-07-29T23:59:59')")
)
.ReturnClause("$user");
Query 2-A - Equijoin
use dataverse TinySocial;
for $user in dataset FacebookUsers
for $message in dataset FacebookMessages
where $message.author-id = $user.id
return {
"uname": $user.name,
"message": $message.message
};
var expression2a = new FLWOGRExpression()
.ForClause ("$user", new AExpression("dataset FacebookUsers"))
.ForClause ("$message", new AExpression("dataset FacebookMessages"))
.WhereClause(new AExpression("$message.author-id = $user.id"))
.ReturnClause({
"uname" : "$user.name",
"message" : "$message.message"
});
Query 2-B - Index join
use dataverse TinySocial;
for $user in dataset FacebookUsers
for $message in dataset FacebookMessages
where $message.author-id /*+ indexnl */ = $user.id
return {
"uname": $user.name,
"message": $message.message
};
var expression2b = new FLWOGRExpression()
.ForClause ("$user", new AExpression("dataset FacebookUsers"))
.ForClause ("$message", new AExpression("dataset FacebookMessages"))
.WhereClause(new AExpression("$message.author-id /*+ indexnl */ = $user.id"))
.ReturnClause({
"uname" : "$user.name",
"message" : "$message.message"
});
Query 3 - Nested Outer Join
use dataverse TinySocial;
for $user in dataset FacebookUsers
return {
"uname": $user.name,
"messages": for $message in dataset FacebookMessages
where $message.author-id = $user.id
return $message.message
};
var expression3messages = new FLWOGRExpression()
.ForClause("$message", new AExpression("dataset FacebookMessages"))
.WhereClause(new AExpression("$message.author-id = $user.id"))
.ReturnClause("$message.message");
var expression3 = new FLWOGRExpression()
.ForClause ("$user", new AExpression("dataset FacebookUsers"))
.ReturnClause({
"uname": "$user.name",
"messages" : expression3messages
});
Query 4 - Theta Join
use dataverse TinySocial;
for $t in dataset TweetMessages
return {
"message": $t.message-text,
"nearby-messages": for $t2 in dataset TweetMessages
where spatial-distance($t.sender-location, $t2.sender-location) <= 1
return { "msgtxt":$t2.message-text}
};
var expression4messages = new FLWOGRExpression()
.ForClause( "$t2", new AExpression("dataset TweetMessages"))
.WhereClause( new AExpression("spatial-distance($t.sender-location, $t2.sender-location) <= 1"))
.ReturnClause({ "msgtxt" : "$t2.message-text" });
var expression4 = new FLWOGRExpression()
.ForClause( "$t", new AExpression("dataset TweetMessages"))
.ReturnClause({
"message" : "$t.message-text",
"nearby-messages" : expression4messages
});
Query 5 - Fuzzy Join
use dataverse TinySocial;
set simfunction "edit-distance";
set simthreshold "3";
for $fbu in dataset FacebookUsers
return {
"id": $fbu.id,
"name": $fbu.name,
"similar-users": for $t in dataset TweetMessages
let $tu := $t.user
where $tu.name ~= $fbu.name
return {
"twitter-screenname": $tu.screen-name,
"twitter-name": $tu.name
}
};
var similarUsersExpression = new FLWOGRExpression()
.ForClause("$t", new AExpression("dataset TweetMessages"))
.LetClause ("$tu", new AExpression("$t.user"))
.WhereClause(new AExpression("$tu.name ~= $fbu.name"))
.ReturnClause({
"twitter-screenname": "$tu.screen-name",
"twitter-name": "$tu.name"
});
var expression5 = new FLWOGRExpression()
.ForClause ("$fbu", new AExpression("dataset FacebookUsers"))
.ReturnClause(
{
"id" : "$fbu.id",
"name" : "$fbu.name",
"similar-users" : similarUsersExpression
}
);
Query 6 - Existential Quantification
use dataverse TinySocial;
for $fbu in dataset FacebookUsers
where (some $e in $fbu.employment satisfies is-null($e.end-date))
return $fbu;
var expression6 = new FLWOGRExpression()
.ForClause ("$fbu", new AQLClause().set("dataset FacebookUsers"))
.WhereClause(
new QuantifiedExpression (
"some" ,
{"$e" : new AExpression("$fbu.employment") },
new FunctionExpression("is-null", new AExpression("$e.end-date"))
)
)
.ReturnClause("$fbu");
Query 7 - Universal Quantification
use dataverse TinySocial;
for $fbu in dataset FacebookUsers
where (every $e in $fbu.employment satisfies not(is-null($e.end-date)))
return $fbu;
var expression7 = new FLWOGRExpression()
.ForClause("$fbu", new AExpression("dataset FacebookUsers"))
.WhereClause(
new QuantifiedExpression (
"every" ,
{"$e" : new AExpression("$fbu.employment") },
new FunctionExpression("not", new FunctionExpression("is-null", new AExpression("$e.end-date")))
)
)
.ReturnClause("$fbu");
Query 8 - Simple Aggregation
use dataverse TinySocial;
count(for $fbu in dataset FacebookUsers return $fbu);
var expression8 = new FunctionExpression(
"count",
new FLWOGRExpression()
.ForClause("$fbu", new AExpression("dataset FacebookUsers"))
.ReturnClause("$fbu")
);
Query 9-A - Grouping and Aggregation
use dataverse TinySocial;
for $t in dataset TweetMessages
group by $uid := $t.user.screen-name with $t
return {
"user": $uid,
"count": count($t)
};
var expression9a = new FLWOGRExpression()
.ForClause("$t", new AExpression("dataset TweetMessages"))
.GroupClause("$uid", new AExpression("$t.user.screen-name"), "with", "$t")
.ReturnClause(
{
"user" : "$uid",
"count" : new FunctionExpression("count", new AExpression("$t"))
}
);
Query 9-B - (Hash-Based) Grouping and Aggregation
use dataverse TinySocial;
for $t in dataset TweetMessages
/*+ hash*/
group by $uid := $t.user.screen-name with $t
return {
"user": $uid,
"count": count($t)
};
var expression9b = new FLWOGRExpression()
.ForClause("$t", new AExpression("dataset TweetMessages"))
.AQLClause("/*+ hash*/")
.GroupClause("$uid", new AExpression("$t.user.screen-name"), "with", "$t")
.ReturnClause(
{
"user" : "$uid",
"count" : new FunctionExpression("count", new AExpression("$t"))
}
);
Query 10 - Grouping and Limits
use dataverse TinySocial;
for $t in dataset TweetMessages
group by $uid := $t.user.screen-name with $t
let $c := count($t)
order by $c desc
limit 3
return {
"user": $uid,
"count": $c
};
var expression10 = new FLWOGRExpression()
.ForClause("$t", new AExpression("dataset TweetMessages"))
.GroupClause("$uid", new AExpression("$t.user.screen-name"), "with", "$t")
.LetClause("$c", new FunctionExpression("count", new AExpression("$t")))
.OrderbyClause( new AExpression("$c"), "desc" )
.LimitClause(new AExpression("3"))
.ReturnClause(
{
"user" : "$uid",
"count" : "$c"
}
);
Query 11 - Left Outer Fuzzy Join
use dataverse TinySocial;
set simfunction "jaccard";
set simthreshold "0.3";
for $t in dataset TweetMessages
return {
"tweet": $t,
"similar-tweets": for $t2 in dataset TweetMessages
where $t2.referred-topics ~= $t.referred-topics
and $t2.tweetid != $t.tweetid
return $t2.referred-topics
};
var expression11 = new FLWOGRExpression()
.ForClause( "$t", new AExpression("dataset TweetMessages"))
.ReturnClause({
"tweet" : new AExpression("$t"),
"similar-tweets": new FLWOGRExpression()
.ForClause( "$t2", new AExpression("dataset TweetMessages"))
.WhereClause().and(
new AExpression("$t2.referred-topics ~= $t.referred-topics"),
new AExpression("$t2.tweetid != $t.tweetid")
)
.ReturnClause("$t2.referred-topics")
});
© 2015 - 2025 Weber Informatics LLC | Privacy Policy