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")));
use dataverse TinySocial; for $user in dataset FacebookUsers where $user.id >= 2 and $user.id <= 4 return $user;
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;
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 };
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 };
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 };
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} };
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 } };
use dataverse TinySocial; for $fbu in dataset FacebookUsers where (some $e in $fbu.employment satisfies is-null($e.end-date)) return $fbu;
use dataverse TinySocial; for $fbu in dataset FacebookUsers where (every $e in $fbu.employment satisfies not(is-null($e.end-date))) return $fbu;
use dataverse TinySocial; count(for $fbu in dataset FacebookUsers return $fbu);
var expression8 = new FunctionExpression({
"function" : "count",
"expression" : new ForClause(
"fbu", null, new AsterixExpression().set(["dataset FacebookUsers"])
).bind(
{"return" : new AsterixExpression().set(["$fbu"])}
),
"dataverse" : "TinySocial",
"success" : function(res) {
$('#result8').html(res["results"]);
}
});
use dataverse TinySocial; for $t in dataset TweetMessages group by $uid := $t.user.screen-name with $t return { "user": $uid, "count": count($t) };
use dataverse TinySocial; for $t in dataset TweetMessages /*+ hash*/ group by $uid := $t.user.screen-name with $t return { "user": $uid, "count": count($t) };
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 };
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 };