Parameters, Value

Table function can combine multiple separate columns of data into one table. In principle, the data in the same row of columns to be merged should have some corresponding relationship.

if data do not come from homologous columns, when used in WITH: table() will first make a Cartesian Product Combination of all columns and its homologous columns before merging; when used in RETURN, table() will trim all columns and their homologous columns before merging.

Syntax:

• Format 1: table(<column1>, <column2>, ...)
• Format 2: [<column1>, <column2>, ...]
• Parameters: see tale below
• Value: TABLE

The value of data in every row with different types of <column> :

When inputting a column of ATTRs with timestamp type, table() records the time value of the 0 time zone for each timestamp in the column, instead of the time value of user's current time zone.

Constant

Example: return 1, "abc", and "2023-01-05 0:0:0" in the table form

return table(1, "abc", "2023-01-05 0:0:0")

Analysis: UQL statement above is equal to return [1, "abc", "2023-01-05 0:0:0"]

Alias (Homologous)

Example: find 10 cards, return their numbers and expiry dates

find().nodes({@card}) as n
limit 10
return table(n._id, n.expire_date) 

Function (Homologous)

Example：calculate the neighbor's number of Card CA001, CA002, and CA003

uncollect ["CA001","CA002","CA003"] as n1
khop().src({_id == n1}).depth(1) as n2
group by n1
return table(n1, count(n2))

WITH Alias (Non-homologous)

Example:

uncollect [1,2,3] as a1
uncollect [4,5] as a2
with table(a1, a2) as a3
return a3

RETURN Alias (Non-homologous)

Example:

uncollect [1,2,3] as a1
uncollect [4,5] as a2
return table(a1, a2)