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v4.0
    v4.0

    table() | Table Function

    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
    Name Category Specification Description
    <column> NODE,EDGE,ATTR / The column to be aggregated

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

    Type Value
    NODE Nodes' UUID in the row
    EDGE Edges' UUID in the row
    ATTR ATTR's value in the row

    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)
    
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