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From "Jianfeng Jia (JIRA)" <j...@apache.org>
Subject [jira] [Created] (ASTERIXDB-1879) Filter doesn't filter out components
Date Sun, 09 Apr 2017 21:05:41 GMT
Jianfeng Jia created ASTERIXDB-1879:
---------------------------------------

             Summary: Filter doesn't filter out components
                 Key: ASTERIXDB-1879
                 URL: https://issues.apache.org/jira/browse/ASTERIXDB-1879
             Project: Apache AsterixDB
          Issue Type: Bug
          Components: Storage
         Environment: master 
"git.commit.id": "342444fcfed850b4078c9cd46e9a12d7f875867d"
            Reporter: Jianfeng Jia
            Assignee: Abdullah Alamoudi


It's difficult for me to find the exact code, but here is the symptom

Previously, if we run a query with a high-selective time range (which is the filter field)
like following
{code}
count(for $d in dataset twitter.ds_tweet 
  where $d.'create_at' >= datetime('2017-04-02T16:23:13.333Z') and $d.'create_at' <
datetime('2017-04-03T16:23:13.333Z')  
  return $d)
{code}

The running time is fast.  Now the running time is the same as scan query.

Here is the ddl
{code}
drop dataverse twitter if exists;
create dataverse twitter if not exists;
use dataverse twitter

create type typeUser if not exists as open {
    id: int64,
    name: string,
    screen_name : string,
    lang : string,
    location: string,
    create_at: date,
    description: string,
    followers_count: int32,
    friends_count: int32,
    statues_count: int64
}

create type typePlace if not exists as open{
    country : string,
    country_code : string,
    full_name : string,
    id : string,
    name : string,
    place_type : string,
    bounding_box : rectangle
}

create type typeGeoTag if not exists as open {
    stateID: int32,
    stateName: string,
    countyID: int32,
    countyName: string,
    cityID: int32?,
    cityName: string?
}

create type typeTweet if not exists as open{
    create_at : datetime,
    id: int64,
    "text": string,
    in_reply_to_status : int64,
    in_reply_to_user : int64,
    favorite_count : int64,
    coordinate: point?,
    retweet_count : int64,
    lang : string,
    is_retweet: boolean,
    hashtags : {{ string }} ?,
    user_mentions : {{ int64 }} ? ,
    user : typeUser,
    place : typePlace?,
    geo_tag: typeGeoTag
}

create dataset ds_tweet(typeTweet) if not exists primary key id using compaction policy prefix
(("max-mergable-component-size"="134217728"),("max-tolerance-component-count"="10")
) with filter on create_at ;
create index text_idx if not exists on ds_tweet("text") type keyword;
{code}
 





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