4.10. Let’s create micro-blog#

Let’s create micro-blog with full text search by Groonga. Micro-blog is one of the broadcast medium in the forms of blog. It is mainly used to post small messages like a Twitter.

4.10.1. Create a table#

Let’s create table.

table_create --name Users --flags TABLE_HASH_KEY --key_type ShortText
table_create --name Comments --flags TABLE_HASH_KEY --key_type ShortText
table_create --name HashTags --flags TABLE_HASH_KEY --key_type ShortText
table_create --name Bigram --flags TABLE_PAT_KEY --key_type ShortText --default_tokenizer TokenBigram --normalizer NormalizerAuto
table_create --name GeoIndex --flags TABLE_PAT_KEY --key_type WGS84GeoPoint

column_create --table Users --name name --flags COLUMN_SCALAR --type ShortText
column_create --table Users --name follower --flags COLUMN_VECTOR --type Users
column_create --table Users --name favorites --flags COLUMN_VECTOR --type Comments
column_create --table Users --name location --flags COLUMN_SCALAR --type WGS84GeoPoint
column_create --table Users --name location_str --flags COLUMN_SCALAR --type ShortText
column_create --table Users --name description --flags COLUMN_SCALAR --type ShortText
column_create --table Users --name followee --flags COLUMN_INDEX --type Users --source follower

column_create --table Comments --name comment --flags COLUMN_SCALAR --type ShortText
column_create --table Comments --name last_modified --flags COLUMN_SCALAR --type Time
column_create --table Comments --name replied_to --flags COLUMN_SCALAR --type Comments
column_create --table Comments --name replied_users --flags COLUMN_VECTOR --type Users
column_create --table Comments --name hash_tags --flags COLUMN_VECTOR --type HashTags
column_create --table Comments --name location --flags COLUMN_SCALAR --type WGS84GeoPoint
column_create --table Comments --name posted_by --flags COLUMN_SCALAR --type Users
column_create --table Comments --name favorited_by --flags COLUMN_INDEX --type Users --source favorites

column_create --table HashTags --name hash_index --flags COLUMN_INDEX --type Comments --source hash_tags

column_create --table Bigram --name users_index --flags COLUMN_INDEX|WITH_POSITION|WITH_SECTION --type Users --source name,location_str,description
column_create --table Bigram --name comment_index --flags COLUMN_INDEX|WITH_POSITION --type Comments --source comment

column_create --table GeoIndex --name users_location --type Users --flags COLUMN_INDEX --source location
column_create --table GeoIndex --name comments_location --type Comments --flags COLUMN_INDEX --source location Users table#

This is the table which stores user information. It stores name of user, profile, list of follower and so on.


User ID


User name


List of following users


List of favorite comments


Current location of user (geolocation)


Current location of user (string)


User profile


Indexes for follower column in Users table. With this indexes, you can search users who follows the person. Comments table#

This is the table which stores comments and its metadata. It stores content of comment, posted date, comment which reply to, and so on.


Comment ID


Content of comment


Posted date


Comment which you reply to someone


List of users who you reply to


List of hash tags about comment


Posted place (for geolocation)


Person who write comment


Indexes for favorites column in Users table. With this indexes, you can search the person who mark comment as favorite one. HashTags table#

This is the table which stores hash tags for comments.


Hash tag


Indexes for Comments.hash_tags. With this indexes, you can search list of comments with specified hash tags. Bigram table#

This is the table which stores indexes for full text search by user information or comments.




Indexes of user information. This column contains indexes of user name (Users.name), current location (Users.location_str), profile (Users.description).


Indexes about content of comments (Comments.comment). GeoIndex table#

This is the table which stores indexes of location column to search geo location effectively.


Indexes of location column for Users table


Indexes of location column for Comments table

4.10.2. Loading data#

Then, load example data.

load --table Users
    "_key": "alice",
    "name": "Alice",
    "follower": ["bob"],
    "favorites": [],
    "location": "152489000x-255829000",
    "location_str": "Boston, Massachusetts",
    "description": "Groonga developer"
    "_key": "bob",
    "name": "Bob",
    "follower": ["alice","charlie"],
    "favorites": ["alice:1","charlie:1"],
    "location": "146249000x-266228000",
    "location_str": "Brooklyn, New York City",
    "description": ""
    "_key": "charlie",
    "name": "Charlie",
    "follower": ["alice","bob"],
    "favorites": ["alice:1","bob:1"],
    "location": "146607190x-267021260",
    "location_str": "Newark, New Jersey",
    "description": "Hmm,Hmm"

load --table Comments
    "_key": "alice:1",
    "comment": "I've created micro-blog!",
    "last_modified": "2010/03/17 12:05:00",
    "posted_by": "alice",
    "_key": "bob:1",
    "comment": "First post. test,test...",
    "last_modified": "2010/03/17 12:00:00",
    "posted_by": "bob",
    "_key": "alice:2",
    "comment": "@bob Welcome!!!",
    "last_modified": "2010/03/17 12:05:00",
    "replied_to": "bob:1",
    "replied_users": ["bob"],
    "posted_by": "alice",
    "_key": "bob:2",
    "comment": "@alice Thanks!",
    "last_modified": "2010/03/17 13:00:00",
    "replied_to": "alice:2",
    "replied_users": ["alice"],
    "posted_by": "bob",
    "_key": "bob:3",
    "comment": "I've just used 'Try-Groonga' now! #groonga",
    "last_modified": "2010/03/17 14:00:00",
    "hash_tags": ["groonga"],
    "location": "146566000x-266422000",
    "posted_by": "bob",
    "_key": "bob:4",
    "comment": "I'm come at city of New York for development camp! #groonga #travel",
    "last_modified": "2010/03/17 14:05:00",
    "hash_tags": ["groonga", "travel"],
    "location": "146566000x-266422000",
    "posted_by": "bob",
    "_key": "charlie:1",
    "comment": "@alice @bob I've tried to register!",
    "last_modified": "2010/03/17 15:00:00",
    "replied_users": ["alice", "bob"],
    "location": "146607190x-267021260",
    "posted_by": "charlie",
    "_key": "charlie:2",
    "comment": "I'm at the Museum of Modern Art in NY now!",
    "last_modified": "2010/03/17 15:05:00",
    "location": "146741340x-266319590",
    "posted_by": "charlie",

follower column and favorites column in Users table and replied_users column in Comments table are vector column, so specify the value as an array.

location column in Users table, location column in Comments table use GeoPoint type. This type accepts “[latitude]x[longitude]”.

last_modified column in Comments table use Time type.

There are two way to specify the value. First, specify epoch (seconds since Jan, 1, 1970 AM 00:00:00) directly. In this case, you can specify micro seconds as fractional part. The value is converted from factional part to the time which is micro seconds based one when data is loaded. The second, specify the timestamp as string in following format: “(YEAR)/(MONTH)/(DAY) (HOUR):(MINUTE):(SECOND)”. In this way, the string is casted to proper micro seconds when data is loaded.