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()
            .bind( new ForClause("user", new AExpression().set("dataset FacebookUsers")))
            .bind( new WhereClause(new AExpression().set("$user.id = 8")))
            .ReturnClause("$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()
            .bind( new ForClause("user", new AExpression().set("dataset FacebookUsers")))
            .bind( new WhereClause().and(
                new AExpression().set("$user.id >= 2"), 
                new AExpression().set("$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()
            .bind( new ForClause("user", new AExpression().set("dataset FacebookUsers")))
            .bind( new WhereClause().and(
                new AExpression().set("$user.user-since >= datetime('2010-07-22T00:00:00')"), 
                new AExpression().set("$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()
            .bind( new ForClause ("user", new AQLClause().set("dataset FacebookUsers")))
            .bind( new ForClause ("message", new AQLClause().set("dataset FacebookMessages")))
            .bind( new WhereClause (new AExpression().set("$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()
            .bind( new ForClause ("user", new AQLClause().set("dataset FacebookUsers")))
            .bind( new ForClause ("message", new AQLClause().set("dataset FacebookMessages")))
            .bind( new WhereClause (new AExpression().set("$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()
            .bind( new ForClause("message", new AExpression().set("dataset FacebookMessages")))
            .bind( new WhereClause(new AExpression().set("$message.author-id = $user.id")))
            .ReturnClause("$message.message");

        var expression3 = new FLWOGRExpression()
            .bind( new ForClause ("user", new AQLClause().set("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()
            .bind( new ForClause( "t2", new AExpression().set("dataset TweetMessages")))
            .bind( new WhereClause( new AExpression().set("spatial-distance($t.sender-location, $t2.sender-location) <= 1")))
            .ReturnClause({ "msgtxt" : "$t2.message-text" });
            
        var expression4 = new FLWOGRExpression()
            .bind( new ForClause( "t", new AExpression().set("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()
            .bind( new ForClause ("t", new AQLClause().set("dataset TweetMessages")))
            .bind( new LetClause ("tu", new AExpression().set("$t.user")))
            .bind( new WhereClause (new AExpression().set("$tu.name ~= $fbu.name")))
            .ReturnClause({
                "twitter-screenname": "$tu.screen-name",
                "twitter-name": "$tu.name"
            });
            
        var expression5 = new FLWOGRExpression()
            .bind( new ForClause ("fbu", new AQLClause().set("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()
            .bind( new ForClause ("fbu", new AQLClause().set("dataset FacebookUsers")))
            .bind( new WhereClause ( 
                new QuantifiedExpression (
                    "some" , 
                    {"$e" : new AQLClause().set("$fbu.employment") },
                    new AQLClause().set("is-null($e.end-date)")
                )
            ))
            .ReturnClause("$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()
        .bind( new ForClause (
            "fbu",
            new AQLClause().set("dataset FacebookUsers")
        ))
        .bind( new WhereClause ( 
            new QuantifiedExpression (
                "every" , 
                {"$e" : new AQLClause().set("$fbu.employment") },
                new AQLClause().set("not(is-null($e.end-date))")
            )
        ))
        .ReturnClause("$fbu");
        

Query 8 - Simple Aggregation

    use dataverse TinySocial;

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

        var expression8 = new FunctionExpression(
            "count",
            new FLWOGRExpression()
                .bind( new ForClause("fbu", new AQLClause().set("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()
            .bind( new ForClause("t", new AExpression().set("dataset TweetMessages")))
            .bind( new GroupClause("uid", new AExpression().set("$t.user.screen-name"), "with", "t") )
            .ReturnClause(
                {
                    "user" : "$uid",
                    "count" : new FunctionExpression("count", new AExpression().set("$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()
            .bind( new ForClause("t", new AExpression().set("dataset TweetMessages"))) 
            .bind( new AQLClause().set("/*+ hash*/"))  
            .bind( new GroupClause("uid", new AExpression().set("$t.user.screen-name"), "with", "t") )
            .ReturnClause(
                {
                    "user" : "$uid",
                    "count" : new FunctionExpression("count", new AExpression().set("$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()
        .bind( new ForClause("t", new AExpression().set("dataset TweetMessages")))
        .bind( new GroupClause("uid", new AExpression().set("$t.user.screen-name"), "with", "t") )
        .bind( new LetClause(
            "c", 
            new FunctionExpression("count", new AExpression().set("$t"))
        ))
        .bind( new OrderbyClause( new AExpression().set("$c"), "desc" ) )
        .bind( new LimitClause(new AExpression().set("3")) )
        .ReturnClause(
            {
                "user" : "$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()
        .bind( new ForClause( "t", new AExpression().set("dataset TweetMessages") ))
        .ReturnClause({
            "tweet"         : new AExpression().set("$t"),       
            "similar-tweets": new FLWOGRExpression()
                                .bind( new ForClause( "t2", new AExpression().set("dataset TweetMessages") ))
                                .bind( new WhereClause().and(
                                    new AExpression().set("$t2.referred-topics ~= $t.referred-topics"), 
                                    new AExpression().set("$t2.tweetid != $t.tweetid")
                                 ))
                                .ReturnClause("$t2.referred-topics")
        });