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({ 
        "dataverse" : "TinySocial",
        "success"   : function(res) {
                          $('#result0a').html(res["results"]);
                      }
        })
        .bind( new ForClause("user", null, new AsterixExpression().set(["dataset FacebookUsers"])) )
        .bind( new WhereClause(new BooleanExpression("$user.id = 8")));
        

Query 0-B - Range Scan

    use dataverse TinySocial;

    for $user in dataset FacebookUsers
    where $user.id >= 2 and $user.id <= 4
    return $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;
        

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
    };
        

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
    };
        

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
    };
        

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}
    };
        

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
                        }
    };
        

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;
        

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;
        

Query 8 - Simple Aggregation

    use dataverse TinySocial;

    count(for $fbu in dataset FacebookUsers return $fbu);
        

        var expression8 = new FunctionExpression(
            "count",
            new ForClause("fbu", null, new AQLClause().set("dataset FacebookUsers"))
                .bind(new ReturnClause("$fbu"))
        );
        
        OR
        
        var expression8 = new FunctionExpression()
            .fn("count")
            .expression(
                new ForClause("fbu", null, new AQLClause().set("dataset FacebookUsers"))
                    .bind(new 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)
    };
        

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)
    };
        

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
    };
        

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
    };