PostgreSQL Creating JSON Column From Existing Data - json

Given data like the below:
+---+------------+------------
|id | change | date
+---+------------+------------
| 1 | name | 2018-06-20
| 2 | address | 2018-06-20
| 3 | email | 2018-06-20
| 4 | email | 2018-06-21
| 5 | address | 2018-06-22
| 6 | address | 2018-06-23
I'm trying to create a view that summarises the above into a single json column with data like:
{"name":["2018-06-20"], "address":["2018-06-20","2018-06-22","2018-06-23"], "email":["2018-06-20","2018-06-21"]}
I have been trying to figure it out using the array_aggr, array_to_json, json_agg, array_build_object functions but I can't seem to get it quite right.
I hope someone can help.
Cheers


You should use jsonb aggregates twice for two levels:
select jsonb_pretty(jsonb_object_agg(change, dates))
from (
select change, jsonb_agg(date) as dates
from my_table
group by change
) s
jsonb_pretty
-----------------------
{ +
"name": [ +
"2018-06-20" +
], +
"email": [ +
"2018-06-20",+
"2018-06-21" +
], +
"address": [ +
"2018-06-20",+
"2018-06-22",+
"2018-06-23" +
] +
}
(1 row)
Note that jsonb_pretty() is unnecessary, used only for a nice output.

Related

MySQL - Search JSON data column

I have a MySQL database column that contains JSON array encoded strings. I would like to search the JSON array where the "Elapsed" value is greater than a particular number and return the corresponding TaskID value of the object the value was found. I have been attempting to use combinations of the JSON_SEARCH, JSON_CONTAINS, and JSON_EXTRACT functions but I am not getting the desired results.
[
{
"TaskID": "TAS00000012344",
"Elapsed": "25"
},
{
"TaskID": "TAS00000012345",
"Elapsed": "30"
},
{
"TaskID": "TAS00000012346",
"Elapsed": "35"
},
{
"TaskID": "TAS00000012347",
"Elapsed": "40"
}
]
Referencing the JSON above, if I search for "Elapsed" > "30" then 2 records would return
'TAS00000012346'
'TAS00000012347'
I am using MySQL version 5.7.11 and new to querying json data. Any help would be appreciated. thanks

With MySQL pre-8.0, there is no easy way to turn a JSON array to a recordset (ie, function JSON_TABLE() is not yet available).
So, one way or another, we need to manually iterate through the array to extract the relevant pieces of data (using JSON_EXTRACT()). Here is a solution that uses an inline query to generate a list of numbers ; another classic approchach is to use a number tables.
Assuming a table called mytable with a column called js holding the JSON content:
SELECT
JSON_EXTRACT(js, CONCAT('$[', n.idx, '].TaskID')) TaskID,
JSON_EXTRACT(js, CONCAT('$[', n.idx, '].Elapsed')) Elapsed
FROM mytable t
CROSS JOIN (
SELECT 0 idx
UNION ALL SELECT 1
UNION ALL SELECT 2
UNION ALL SELECT 3
) n
WHERE JSON_EXTRACT(js, CONCAT('$[', n.idx, '].Elapsed')) * 1.0 > 30
NB: in the WHERE clause, the * 1.0 operation is there to force the conversion to a number.
Demo on DB Fiddle with your sample data:
| TaskID | Elapsed |
| -------------- | ------- |
| TAS00000012346 | 35 |
| TAS00000012347 | 40 |

Yes , you can definitely to it using JSON_EXTRACT() function in mysql.
lets take a table that contains JSON (table client_services here) :
+-----+-----------+--------------------------------------+
| id | client_id | service_values |
+-----+-----------+------------+-------------------------+
| 100 | 1000 | { "quota": 1,"data_transfer":160000} |
| 101 | 1000 | { "quota": 2,"data_transfer":800000} |
| 102 | 1000 | { "quota": 3,"data_transfer":70000} |
| 103 | 1001 | { "quota": 1,"data_transfer":97000} |
| 104 | 1001 | { "quota": 2,"data_transfer":1760} |
| 105 | 1002 | { "quota": 2,"data_transfer":1060} |
+-----+-----------+--------------------------------------+
And now lets say we want client_id for all who have quota>1 , then use this query :
SELECT
id,client_id,
JSON_EXTRACT(service_values, '$.quota') AS quota
FROM client_services
WHERE JSON_EXTRACT(service_values, '$.quota') > 1;
And hence it will result into :
+-----+-----------+-------+
| id | client_id | quota |
+-----+-----------+--------
| 101 | 1000 | 2 |
| 102 | 1000 | 3 |
| 104 | 1001 | 2 |
| 105 | 1002 | 2 |
+-----+-----------+-------+
hope this helps!

Getting Values From Json Data Inside Array in Mysql

We are saving information in a json Column which contain json data in an array.
Data structure:
[
{
"type":"automated_backfill",
"title":"Walgreens Sales Ad",
"keyword":"Walgreens Sales Ad",
"score":4
},
{
"type":"automated_backfill",
"title":"Nicoderm Coupons",
"keyword":"Nicoderm Coupons",
"score":4
},
{
"type":"automated_backfill",
"title":"Iphone Sales",
"keyword":"Iphone Sales",
"score":3
},
{
"type":"automated_backfill",
"title":"Best Top Load Washers",
"keyword":"Best Top Load Washers",
"score":1
},
{
"type":"automated_backfill",
"title":"Top 10 Best Cell Phones",
"keyword":"Top 10 Best Cell Phones",
"score":1
},
{
"type":"automated_backfill",
"title":"Tv Deals",
"keyword":"Tv Deals",
"score":0
}
]
What we are trying:
SELECT id, ad_meta->'$**.type' FROM window_requests
that returns:
We are looking to get each type as row, which i think only possible with stored procedure, return whole column and then run loop on each row and return data...
Or can you think of a better solution?
Either Update Architecture:
or should we change our database and save information in separate table instead to json column ?
And then we can get easily join to get data with adding a foreign key.
Thanks you.

I understand that you are trying to generate a table structure from the content of your JSON array.
You would need to proceed in two steps :
first, turn each element in the array into a record ; for this, you can generate an inline table of of numbers and use JSON_EXTRACT() to pull up the relevant JSON object.
then, extract the values of each attribute from each object, generating new columns ; the -> operator can be used for this.
Query :
SELECT
id,
rec->'$.type' type,
rec->'$.score' score,
rec->'$.title' title,
rec->'$.keyword' keyword
FROM (
SELECT t.id, JSON_EXTRACT(t.val, CONCAT('$[', x.idx, ']')) AS rec
FROM
mytable t
INNER JOIN (
SELECT 0 AS idx UNION ALL SELECT 1 UNION ALL SELECT 2 UNION ALL SELECT 3 UNION ALL SELECT 4
UNION ALL SELECT 5 UNION ALL SELECT 6 UNION ALL SELECT 7 UNION ALL SELECT 8 UNION ALL SELECT 9
) AS x ON JSON_EXTRACT(t.val, CONCAT('$[', x.idx, ']')) IS NOT NULL
) z
This will handle up to 10 objects per JSON array (if you expect more than that, you can add expand the UNION ALL part of the query).
In this DB Fiddle with your test data, this yields :
| id | type | score | title | keyword |
| --- | -------------------- | ----- | ------------------------- | ------------------------- |
| 1 | "automated_backfill" | 4 | "Walgreens Sales Ad" | "Walgreens Sales Ad" |
| 1 | "automated_backfill" | 4 | "Nicoderm Coupons" | "Nicoderm Coupons" |
| 1 | "automated_backfill" | 3 | "Iphone Sales" | "Iphone Sales" |
| 1 | "automated_backfill" | 1 | "Best Top Load Washers" | "Best Top Load Washers" |
| 1 | "automated_backfill" | 1 | "Top 10 Best Cell Phones" | "Top 10 Best Cell Phones" |
| 1 | "automated_backfill" | 0 | "Tv Deals" | "Tv Deals" |
NB : the arrow operator is not available in MariaDB. You can use JSON_EXTRACT() instead, like :
SELECT
id,
JSON_EXTRACT(rec, '$.type') type,
JSON_EXTRACT(rec, '$.score') score,
JSON_EXTRACT(rec, '$.title') title,
JSON_EXTRACT(rec, '$.keyword') keyword
FROM
...

how to extract data from json using oracle text index

I have a table, which has an Oracle text index. I created the index because I need an extra fast search. The table contains JSON data. Oracle json_textcontains works very poorly so I tried to play with CONTAINS (json_textcontains is rewritten to CONTAINS actually if we have a look into query plan).
I want to find all jsons by given class_type and id of value but Oracle looks all over JSON without looking that class_type and id should be in one JSON section i.e. it deals with JSON not like structured data but like a huge string.
Well formatted JSON looks like this:
{
"class":[
{
"class_type":"ownership",
"values":[{"nm":"id","value":"1"}]
},
{
"class_type":"country",
"values":[{"nm":"id","value":"640"}]
},
,
{
"class_type":"features",
"values":[{"nm":"id","value":"15"},{"nm":"id","value":"20"}]
}
]
}
The second one which shouldn't be found looks like this:
{
"class":[
{
"class_type":"ownership",
"values":[{"nm":"id","value":"18"}]
},
{
"class_type":"country",
"values":[{"nm":"id","value":"11"}]
},
,
{
"class_type":"features",
"values":[{"nm":"id","value":"7"},{"nm":"id","value":"640"}]
}
]
}
Please see how to reproduce what I'm trying to achieve:
create table perso.json_data(id number, data_val blob);
insert into perso.json_data
values(
1,
utl_raw.cast_to_raw('{"class":[{"class_type":"ownership","values":[{"nm":"id","value":"1"}]},{"class_type":"country","values":[{"nm":"id","value":"640"}]},{"class_type":"features","values":[{"nm":"id","value":"15"},{"nm":"id","value":"20"}]}]}')
);
insert into perso.json_data values(
2,
utl_raw.cast_to_raw('{"class":[{"class_type":"ownership","values":[{"nm":"id","value":"18"}]},{"class_type":"country","values":[{"nm":"id","value":"11"}]},{"class_type":"features","values":[{"nm":"id","value":"7"},{"nm":"id","value":"640"}]}]}')
)
;
commit;
ALTER TABLE perso.json_data
ADD CONSTRAINT check_is_json
CHECK (data_val IS JSON (STRICT));
CREATE INDEX perso.json_data_idx ON json_data (data_val)
INDEXTYPE IS CTXSYS.CONTEXT
PARAMETERS ('section group CTXSYS.JSON_SECTION_GROUP SYNC (ON COMMIT)');
select *
from perso.json_data
where ctxsys.contains(data_val, '(640 INPATH(/class/values/value)) and (country inpath (/class/class_type))')>0
The query returns 2 rows but I expect to get only the record where id = 1.
How can I use a full text index with the ability to search without the error I highlighted, without using JSON_TABLE?
There is no options to put data in relational format.
Thanks in advance.

Please don't use the text index directly to try to solve this kind of problem. It's not what it's designed for..
In 12.2.0.1.0 this should work for you (and yes it does use a specialized version of the text index under the covers, but it also applies selective post filtering to ensure the results are correct)..
SQL> create table json_data(id number, data_val blob)
2 /
Table created.
SQL> insert into json_data values(
2 1,utl_raw.cast_to_raw('{"class":[{"class_type":"ownership","values":[{"nm":"id","value":"1"}]},{"class_type":"cou
ntry","values":[{"nm":"id","value":"640"}]},{"class_type":"features","values":[{"nm":"id","value":"15"},{"nm":"id","valu
e":"20"}]}]}')
3 )
4 /
1 row created.
Execution Plan
----------------------------------------------------------
--------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
--------------------------------------------------------------------------------------
| 0 | INSERT STATEMENT | | 1 | 100 | 1 (0)| 00:00:01 |
| 1 | LOAD TABLE CONVENTIONAL | JSON_DATA | | | | |
--------------------------------------------------------------------------------------
SQL> insert into json_data values(
2 2,utl_raw.cast_to_raw('{"class":[{"class_type":"ownership","values":[{"nm":"id","value":"18"}]},{"class_type":"co
untry","values":[{"nm":"id","value":"11"}]},{"class_type":"features","values":[{"nm":"id","value":"7"},{"nm":"id","value
":"640"}]}]}')
3 )
4 /
1 row created.
Execution Plan
----------------------------------------------------------
--------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
--------------------------------------------------------------------------------------
| 0 | INSERT STATEMENT | | 1 | 100 | 1 (0)| 00:00:01 |
| 1 | LOAD TABLE CONVENTIONAL | JSON_DATA | | | | |
--------------------------------------------------------------------------------------
SQL> commit
2 /
Commit complete.
SQL> ALTER TABLE json_data
2 ADD CONSTRAINT check_is_json
3 CHECK (data_val IS JSON (STRICT))
4 /
Table altered.
SQL> CREATE SEARCH INDEX json_SEARCH_idx ON json_data (data_val) for JSON
2 /
Index created.
SQL> set autotrace on explain
SQL> --
SQL> set lines 256 trimspool on pages 50
SQL> --
SQL> select ID, json_query(data_val, '$' PRETTY)
2 from JSON_DATA
3 /
ID
----------
JSON_QUERY(DATA_VAL,'$'PRETTY)
------------------------------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------------------------------
----------------
1
{
"class" :
[
{
"class_type" : "ownership",
"values" :
[
{
"nm" : "id",
"value" : "1"
}
]
},
{
"class_type" : "country",
"values" :
[
{
"nm" : "id",
"value" : "640"
}
]
},
{
"class_type" : "features",
"values" :
[
{
"nm" : "id",
"value" : "15"
},
{
"nm" : "id",
"value" : "20"
}
]
}
]
}
2
{
"class" :
[
ID
----------
JSON_QUERY(DATA_VAL,'$'PRETTY)
------------------------------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------------------------------
----------------
{
"class_type" : "ownership",
"values" :
[
{
"nm" : "id",
"value" : "18"
}
]
},
{
"class_type" : "country",
"values" :
[
{
"nm" : "id",
"value" : "11"
}
]
},
{
"class_type" : "features",
"values" :
[
{
"nm" : "id",
"value" : "7"
},
{
"nm" : "id",
"value" : "640"
}
]
}
]
}
Execution Plan
----------------------------------------------------------
Plan hash value: 3213740116
-------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
-------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 2 | 4030 | 3 (0)| 00:00:01 |
| 1 | TABLE ACCESS FULL| JSON_DATA | 2 | 4030 | 3 (0)| 00:00:01 |
-------------------------------------------------------------------------------
Note
-----
- dynamic statistics used: dynamic sampling (level=2)
SQL> select ID, to_clob(data_val)
2 from json_data
3 where JSON_EXISTS(data_val,'$?(exists(#.class?(#.values.value == $VALUE && #.class_type == $TYPE)))' passing '640'
as "VALUE", 'country' as "TYPE")
4 /
ID TO_CLOB(DATA_VAL)
---------- --------------------------------------------------------------------------------
1 {"class":[{"class_type":"ownership","values":[{"nm":"id","value":"1"}]},{"class_
type":"country","values":[{"nm":"id","value":"640"}]},{"class_type":"features","
values":[{"nm":"id","value":"15"},{"nm":"id","value":"20"}]}]}
Execution Plan
----------------------------------------------------------
Plan hash value: 3248304200
-----------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
-----------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1 | 2027 | 4 (0)| 00:00:01 |
|* 1 | TABLE ACCESS BY INDEX ROWID| JSON_DATA | 1 | 2027 | 4 (0)| 00:00:01 |
|* 2 | DOMAIN INDEX | JSON_SEARCH_IDX | | | 4 (0)| 00:00:01 |
-----------------------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
1 - filter(JSON_EXISTS2("DATA_VAL" FORMAT JSON , '$?(exists(#.class?(#.values.value
== $VALUE && #.class_type == $TYPE)))' PASSING '640' AS "VALUE" , 'country' AS "TYPE"
FALSE ON ERROR)=1)
2 - access("CTXSYS"."CONTAINS"("JSON_DATA"."DATA_VAL",'{640} INPATH
(/class/values/value) and {country} INPATH (/class/class_type)')>0)
Note
-----
- dynamic statistics used: dynamic sampling (level=2)
SQL> select ID, TO_CLOB(DATA_VAL)
2 from JSON_DATA d
3 where exists (
4 select 1
5 from JSON_TABLE(
6 data_val,
7 '$.class'
8 columns (
9 CLASS_TYPE VARCHAR2(32) PATH '$.class_type',
10 NESTED PATH '$.values.value'
11 columns (
12 "VALUE" VARCHAR2(32) path '$'
13 )
14 )
15 )
16 where CLASS_TYPE = 'country' and "VALUE" = '640'
17 )
18 /
ID TO_CLOB(DATA_VAL)
---------- --------------------------------------------------------------------------------
1 {"class":[{"class_type":"ownership","values":[{"nm":"id","value":"1"}]},{"class_
type":"country","values":[{"nm":"id","value":"640"}]},{"class_type":"features","
values":[{"nm":"id","value":"15"},{"nm":"id","value":"20"}]}]}
Execution Plan
----------------------------------------------------------
Plan hash value: 1621266031
-------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
-------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1 | 2027 | 32 (0)| 00:00:01 |
|* 1 | FILTER | | | | | |
| 2 | TABLE ACCESS FULL | JSON_DATA | 2 | 4054 | 3 (0)| 00:00:01 |
|* 3 | FILTER | | | | | |
|* 4 | JSONTABLE EVALUATION | | | | | |
-------------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
1 - filter( EXISTS (SELECT 0 FROM JSON_TABLE( :B1, '$.class' COLUMNS(
"CLASS_TYPE" VARCHAR2(32) PATH '$.class_type' NULL ON ERROR , NESTED PATH
'$.values.value' COLUMNS( "VALUE" VARCHAR2(32) PATH '$' NULL ON ERROR ) ) )
"P" WHERE "CTXSYS"."CONTAINS"(:B2,'({country} INPATH (/class/class_type))
and ({640} INPATH (/class/values/value))')>0 AND "P"."CLASS_TYPE"='country'
AND "P"."VALUE"='640'))
3 - filter("CTXSYS"."CONTAINS"(:B1,'({country} INPATH
(/class/class_type)) and ({640} INPATH (/class/values/value))')>0)
4 - filter("P"."CLASS_TYPE"='country' AND "P"."VALUE"='640')
Note
-----
- dynamic statistics used: dynamic sampling (level=2)
SQL>

Hive - Create a nested Hive table from another non-nested Hive table

I have a hive table - Table A as follows:
id | partner | recent_use | count |
1 | ab | 20160101 | 5 |
1 | cd | 20160304 | 12 |
2 | ab | 20160205 | 1 |
2 | cd | 20150101 | 2 |
3 | ab | 20150401 | 4 |
From Table A, I want to end up with a table like this - Table B:
id | partner |
1 | [ ab : { recent_use:20160101, count:5 } , cd : { recent_use:20160304, count:12 } ]
2 | [ ab : { recent_use:20160205, count:1 } , cd : { recent_use:20150101, count:2 } ]
3 | [ ab : { recent_use:20150401, count:4 } ]
Basically, Table B is a nested version of Table A such that for a given id, all the data from each of its partner is grouped into one column.
I have two questions:
How can I create Table B from Table A?
How can I convert Table B into a JSON document such that I can load the document into any NOSQL DB?
Would really appreciate any help on this. Thanks!

Simple to achieve this is using UDAF - user defined aggregation function. You can write custom function to make things simple. Here is some thing you can using inbuilt functions. Give it a try.
select id, CONCAT("[", concat_ws(',', collect_set(CONCAT('"', partner,
'":{ "recent_use":', recent_use, ', "count":', count, "}"))), "]") as
collJ from tableA group by id
Above SQL will get ID and collJ in string you looking for after that can use get_json_object function to convert to JSON object.
Reference
https://www.qubole.com/resources/cheatsheet/hive-function-cheat-sheet/
https://cwiki.apache.org/confluence/display/Hive/GenericUDAFCaseStudy

Extract data from json inside mysql field

I've got a a table with rows, and one of the rows has a field with data like this
{"name":"Richard","lastname":null,"city":"Olavarria","cityId":null}
And i want to select all the distinct "city" values i've got. Only using mysql server.
Is it possible? I'm trying with something like this
SELECT id FROM table_name WHERE field_name REGEXP '"key_name":"([^"]*)key_word([^"]*)"';
But i can't make the regexp work
Thanks in advance

MySQL has got support for JSON in version 5.7.7
http://mysqlserverteam.com/json-labs-release-native-json-data-type-and-binary-format/
You will be able to use the jsn_extract function to efficiently parse your JSON string.
If you have an older version and you want to solve it purely in mysql then I am afraid you have to treat it as a string and cut the value out of it (just normal string functions or use regular expressions)
This is not elegant but it will work
http://sqlfiddle.com/#!9/97cfd/14
SELECT
DISTINCT(substring(jsonfield, locate('"city":',jsonfield)+8,
locate('","', jsonfield, locate('"city":',jsonfield))-locate('"city":',jsonfield)-8)
)
FROM
ForgeRock

I have wrapped this into a stored function for those constrained to MySQL <5.7.7:
CREATE FUNCTION `json_extract_string`(
p_json text,
p_key text
) RETURNS varchar(40) CHARSET latin1
BEGIN
SET #pattern = CONCAT('"', p_key, '":"');
SET #start_i = LOCATE(#pattern, p_json) + CHAR_LENGTH(#pattern);
if #start_i = CHAR_LENGTH(#pattern) then
SET #end_i = 0;
else
SET #end_i = LOCATE('"', p_json, #start_i) - #start_i;
end if;
RETURN SUBSTR(p_json, #start_i, #end_i);
END
Note this only works with string values but is a bit more robust than #DmitryK's answer, in that it returns an empty string if the key is not found and the key can be anywhere in the JSON string.

Yes , you can definitely to it using JSON_EXTRACT() function in mysql.
lets take a table that contains JSON (table client_services here) :
+-----+-----------+--------------------------------------+
| id | client_id | service_values |
+-----+-----------+------------+-------------------------+
| 100 | 1000 | { "quota": 1,"data_transfer":160000} |
| 101 | 1000 | { "quota": 2,"data_transfer":800000} |
| 102 | 1000 | { "quota": 3,"data_transfer":70000} |
| 103 | 1001 | { "quota": 1,"data_transfer":97000} |
| 104 | 1001 | { "quota": 2,"data_transfer":1760} |
| 105 | 1002 | { "quota": 2,"data_transfer":1060} |
+-----+-----------+--------------------------------------+
To Select each JSON fields , run this query :
SELECT
id, client_id,
json_extract(service_values, '$.quota') AS quota,
json_extract(service_values, '$.data_transfer') AS data_transfer
FROM client_services;
So the output will be :
+-----+-----------+----------------------+
| id | client_id | quota | data_transfer|
+-----+-----------+----------------------+
| 100 | 1000 | 1 | 160000 |
| 101 | 1000 | 2 | 800000 |
| 102 | 1000 | 3 | 70000 |
| 103 | 1001 | 1 | 97000 |
| 104 | 1001 | 2 | 1760 |
| 105 | 1002 | 2 | 1060 |
+-----+-----------+----------------------+
NOW, if you want lets say DISTINCT quota , then run this query :
SELECT
distinct( JSON_EXTRACT(service_values, '$.quota')) AS quota
FROM client_services;
So this will result into your desired output :
+-------+
| quota |
+-------+
| 1 |
| 2 |
| 3 |
+-------+
hope this helps!

See MariaDB's Dynamic Columns.
Also, search this forum for [mysql] [json]; the topic has been discussed often.

This may be a little late, but the accepted answer didn't work for me. I used SUBSTRING_INDEX to achieve the desired result.
SELECT
ID, SUBSTRING_INDEX(SUBSTRING_INDEX(JSON, '"mykey" : "', -1), '",', 1) MYKEY
FROM MY_TABLE;
Hope this helps.