A.new( x i : F i ,… )

Read(1035) Label: compute, generate,

Description:

Perform computation on a sequence to generate a new table sequence.

Syntax:

A.new(xi:Fi,…)

Note:

The function computes expression xi on each member of sequence A and generate a new table sequence having same number of records as A and using xi as field values and Fi as field names.

Parameter:

Fi

Field names of the result table sequence; use xi when the parameter is absent; use the original field names when xi is #i

xi

An expression whose results are field values; if omitted, field values will be nulls a, and when is absent, :Fi must not be omitted

A

A sequence

Option:

@m

Use parallel processing to speed up computation

@i

Won’t generate a record if the result of expression xi is null

@o

When parameter A is a pure table sequence, directly reference an old column if it is unmodified instead of generating a new column; sequence A will also be updated when the result table sequence is updated

@z

Perform an inverse operation; only apply to non-pure sequences

Return value:

Table sequence

Example:

Ø  Generate from an individual table sequence

 

A

 

1

=demo.query("select EID,NAME,DEPT,BIRTHDAY from EMPLOYEE")

2

=A1.new(EID:EmployeeID,NAME, #3:dept)

Generate a new table sequence directly. If the field names are the same as those of A1, Fi can be omitted.

3

=A1.new(NAME,age(BIRTHDAY):AGE)

Generate the new table sequence by computing new field values.

4

=A1.new@m(NAME,age(BIRTHDAY):AGE)

Use @m option to increase performance of big data handling.

5

=file("D:\\txt_files\\data1.txt").import@t()

Below is the file data1.txt:

6

=A5.new@i(CLASS,STUDENTID,SUBJECT,SCORE:score)

If the SCORE value is null, the corresponding record won’t be generated.

Ø  Generate from a pure table sequence

 

A

 

1

=demo.query("select EID,NAME,DEPT,BIRTHDAY from EMPLOYEE").i()

Return a pure table sequence.

2

=A1.new@o(EID,NAME, #3:dept)

With @o option, directly reference the unmodified old columns instead of generating new ones.

3

=A2(1).NAME="aaa"

Modifying column values results in the modification of source table; below is A2’s result after execution:

And A1’s result is as follows:

 

Ø  Generate from multiple table sequences of the same order

 

A

 

1

=create(Name,Chinese).record(["Jack",99,"Lucy",90])

2

=create(Name,Math).record(["Jack",89,"Lucy",96])

3

=A1.new(Name:Name,Chinese:Chinese,A2(#).Math:Math)

 

Use A2(#) to get the record from A2 in the same position.

 

 

Ø  Perform the inverse operation:

 

A

 

1

=demo.query("select  * from SCORES ")

Return a table sequence:

2

=A1.new(CLASS,STUDENTID,SUBJECT,SCORE,cum(SCORE;CLASS,STUDENTID):F1)

Perform iterative operation in a loop function to get cumulative total on SCORE values of records having same CLASS value and STUDENTID value, use the results as values of F1 column and return a new table sequence as follows:

3

=A1.new@z(CLASS,STUDENTID,SUBJECT,SCORE,cum(SCORE;CLASS,STUDENTID):F1)

Use @z option to perform an inverse operation:

Related function:

cs.new()