neumino

r.expr([
  {
    "sub_queries" : [
      {
        "sent_params" : {
          "show_take_out_items" : null,
          "show_in_store_items" : null,
          "show_delivery_items" : null,
          "location_id" : 448,
          "category_id" : 5333

neumino

r.db("foo").table("bar").filter( lamda doc: 
    doc["emails"].map(lamda email: email == "[email protected]").reduce( lambda acc, val: acc | val, False)
).run(connection)

neumino

# Query 1
cursor = r.db('test').table('test').filter(lambda doc: 
(doc['status'] == 'open') & doc['baseaddresses'].map(lambda address: address == '[email protected]').reduce(lambda acc, val: acc | val) ).order_by('date').run()

for doc in cursor:
    print doc

# Query 2
cursor = r.db('test').table('test').filter(lambda doc: ((doc['status'] == 'open') | (doc['status'] == 'paused')) & doc['baseaddresses'].map(lambda address: address == '[email protected]').reduce(lambda acc, val: acc | val) ).order_by('date').run()

neumino

{
   "values_":{
      "1":1,
      "2":{
         "values_":{
            "1":16,
            "3":[
               {
                  "values_":{
                     "1":15,

neumino

r.db('test').table('test').update(function(doc) {
  return r.branch(
    doc('skills').contains('html'),
    doc.merge({skills: doc('skills').merge({'html': doc('skills')('html').add(3)})}),
    doc.merge({skills: doc('skills').merge({'html': 3})})
  )
})

neumino

// Suppose needed_category = [1,2,3]

r.db('foo').table('bar')
    .filter( function(movie) {
        r.expr( needed_category ).map( function(category) {
            return category.eq(movie('category');
        }).redunce( function(left, right)
            return left.or(right);
        }, false)
    }).run( connection, function(err, cursor) { ... } )

neumino

r.table('polls').filter( function(poll) {
    return poll("id").eq("d_you_want").and(
       poll("processed").map( function(user) { return user.eq("forbidden_user") } ) // map if the user is the one we don't want
                        .reduce( function(left, right) { return left.or(right) }, false ) // compute a huge OR
                        .not() // Flip boolean
    )
})

neumino

reduction := func(left, right r.Exp) r.Exp { return left.Or(right) }

filterFunc := func (job r.Exp) r.Exp {
    return job.Attr("categories").Map(func (category r.Exp) r.Exp { 
        return category.Eq(job.Attr("category")
    }).Reduce(reduction, false)
}

r.Table("heroes").Filter(r.Row.Attr("area").Eq("area")).Filter(filterFunc)

neumino

r.table("table_name").filter( function(score) {
    return score("scoreboard")("teamPlayerParticipantStats")("externalizedData").map( function(data) {
        return data("summonerName")
    }).contains("some_string")
    .or(
        score("scoreboard")("otherTeamPlayerParticipantStats")("externalizedData").map( function(data) {
            return data("summonerName")
        }).contains("some_string")
    )
})

neumino

r.table('apps')
    .orderBy("install_date") // order by date
    .map( {
        name: r.row("name"),
        install_date: r.row("name").year().add("-").add(r.row("name").month()).add("-").add(r.row("name").day())
    })