f .import()

f.import()

f.import(F_i:type:fmt,…;k:n,s)

Retrieve the k^th segment of the n segments from the text file. F_i represents the retrieved field; all fields will be retrieved by default. s is the user-defined separator; the default is tab. When retrieving a file segment by segment, it intelligently identifies the ending points to ensure the retrieved records in each segment are complete and all retrieved records are continuous and unique

f

A file

F_i

Fields to be retrieved. All fields will be retrieved by default. The sign # is used to represent a field with a sequence number.

type

Field types include bool, int, long, float, decimal, string, date, time and datetime. Data type of the first row will be used by default. It is the length of a serial byte when it is an integer.

fmt

Date\time format

s

User-defined separator. The default separator is tab. When the parameter is omitted, the comma preceding it can be omitted, too.

k

The segment number.

n

The number of segments. Retrieve the whole file when both k and n are omitted.

@t

Use the first row of f as the field name. If this option is not used, _1, _2,… will be used as field names; keep the original field names if F_i is #i

@b

Retrieve data from the exported binary file, with the support for parameter F_i, k and n, and with no support available for parameters type and s. Options @t, @s, @i, @q and @m will be ignored. The segmental retrieval could result in empty segment in cases when a file has only a very small number of records or it is unable to be segmented.

@e

Make the function return null when F_i doesn’t exist in the file; raise an error when the option is absent.

@s

Do not split the to-be-retrieved field when it is imported as a cursor whose content is a table sequence consisting of strings of a single field; in this case the parameters will be ignored.

@i

If the result set has only one column, return it as a sequence

@q

Remove the quotation marks, if any, of the field strings, including the field names, in the first place, and handle the escape sequences.

@m

Use multithreads to increase data retrieval speed, but this will leave an indefinite order for members of the result set. This option will be ignored when parameters k and n exist and it is often used to retrieve data from big files. More than one parallel thread should be specified in license file and configuration information.

@c

Use comma as the seperator when the parameter s is absent, but the user-defined separator s should take priority when there are both s and @c option.

@o

Use quotation marks as the escape character

@k

Retain the whitespaces on both sides of the data item; without it a trim operation will be automatically performed

@d

Delete a record if it contains unmatching data types or data formats and start examining data by type

@n

Ignore and discard rows whose number of columns don’t match the first row

@v

Verify data type matching, and, if error reports, throw an exception, terminate the execution and output the content of the problem record

A

1

=file("D:\\score.txt").import()

2

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

3

=file("D:\\score.txt").import(;1:2)

With F_i and s omitted, get the data of the first of the multiple segments

4

=file("D:\\Department2.txt").import(;"|")

With F_i, k and n omitted, the whole file is imported

5

=file("D:\\Department2.txt").import(;1:3,"|")

Omit the fields to be imported

6

=file("D:\\ EMPLOYEE.txt").import@c(GENDER;1:2)

Retrieve the first segment of GENDER field of comma-seperated EMPLOYEE1.txt

7

=file("D:\\Department5.txt").import@t(DEPT, MANAGER:int; 1:3,"/")

The contents of Department5.txt are separated with slash and retrieved by the specified fields DEPT and MANAGER

8

=file("D:\\ score.txt").import@e(EID;1:3)

Return null because there’s no EID field in score.txt

9

=file("D:\\Department.txt").import@ts()

10

=file("D:\\EMPLOYEE.btx").import@b(;1:2)

Retrieve the first segment of the bin file (a segmented binary file) EMPLOYEE.btx, which is exported from f.export(A,x:F,…).

11

=file("D:\\orders.txt").import@mt(;",")

Increase the speed of retrieving data from the big file. The record order in the result is not the same as that in the file.

12

=file("D:\\StuName.txt").import@i()

StuName.txt has only one column, so return it as a sequence

13

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

14

=file("D:\\test.txt").import@tq()

15

=file("D:\\Sale1.txt").import()

Get all records from Sale1.txt

16

=file("D:\\ Sale1.txt").import(#1,#3)

Get the first column and the third column from Sale1.txt

17

=file("D:/Dep3.txt").import@qo()

Here is the Dep3.txt file:

Return the result:

18

=file("D:/Dep1.txt").import@k()

Retain the whitespaces on both sides of the data item

19

=file("D:/Department1.txt").import@t(id:int,name;,"|")

20

=file("D:/Department1.txt").import@td(id:int,name;,"|")

Delete the record as it contains unmatching data types

21

=file("D:/Department1.txt").import@tv(id:int,name;,"|")

Check data type matching, and, if error reports, throw an exception, terminate the execution and output the content of the problem record

22

=file("Dep2.txt").import@tdn(id:int,name,surname;,"|")

Here’s the file Dep2.txt:

Ignore and discard row 6 and row 8 because the number of columns don’t match that of the first row

23

=file("D://EMP1.txt").import@s(;1:2)

Don’t split field values to import as a single-field table; ignore the parameters

24

=file("D://EMP2.txt").import(#1:date:"yyyy/MM/dd")

EMP2txt:

Parse data in yyyy/MM/dd format as a date type field

T

An entity table

A

1

for 100

2

=to(10000).new(#:k1,rand():c1).sort@o(k1)

Generate a set of random data

3

=to(10000).new(#:k1,rand(10000):c2,rand()*1000:c3).sort@o(k1)

4

=A2.cursor()

5

=A3.cursor()

6

=file("D:\\tb1.ctx")

Create composite table’s base table

7

=A6.create(#k1,c1;k1)

8

=A7.append(A4)

9

=A7.attach(table4,c2,c3)

10

=A9.append(A5)

11

=A9.cursor(;c2<1000;2:3)

Divide records in A9’s attached table where c2 is less than 1000 into 3 segments and return columns in the 2^nd segment as a cursor

12

=A11.fetch()

Fetch data from A11’s cursor

13

=A9.import(;c2<1000;2:3)

Same result as A12