# lag¶

## Description¶

Return the value of one column in a previous row across an ordered group. offset is the number of rows backwards from the current row to obtain a value. If no ordering is specified, the default ordering is that of the invoking verb, which is generally the valid_from timestamp, ascending. In this case, lag(col, 1) returns the most recent prior value for column col.

any

## Domain¶

This is a window function (calculates over a group of multiple input rows using windowing.)

## Usage¶

lag( expression, lagby )


Argument

Type

Required

Multiple

expression

any

Required

Only one

lagby

int64

Required

Only one

## Examples¶

make_col prev_value:window(lag(value, 1), group_by(key))


Obtain the most recent value within the group identified by key and store the results in a new column named prev_value. Because we did not specify a order_by clause in the window function nor in the verb, the lag function would use the default ordering, which is time ascending.

timestamp

key

value

prev_value

100

A

5

null

150

B

6

null

180

A

4

5

300

B

5

6

400

A

3

4

make_col high_value:window(lag(value, 2), order_by(value, false), group_by(key))


Obtain the second highest value below the current value within the group identified by key and store the results in a new column named high_value. We use an order_by function to order the rows by value ascending.

timestamp

key

value

high_value

100

A

5

3

200

B

6

2

200

A

4

null

300

B

5

null

400

A

3

null

400

B

2

null

500

A

7

4

make_col prev_value:window(lag(value, 1), group_by(key), frame_exact(back:100ns))


Obtain the most recent value within the group identified by key and store the results in a new column named prev_value. Because a frame_exact is specified for the window function, prev_value would be null if the most recent value is found outside the window frame.

timestamp

key

value

prev_value

100

A

5

null

150

B

6

null

180

A

4

5

300

B

5

null

400

A

3

null