Replace transform plugin
Examines string value in a given field and replaces substring of the string value that matches the given string literal or regexes with the given replacement.
name | type | required | default value |
---|---|---|---|
replace_field | string | yes | |
pattern | string | yes | - |
replacement | string | yes | - |
is_regex | boolean | no | false |
replace_first | boolean | no | false |
The field you want to replace
The old string that will be replaced
The new string for replace
Use regex for string match
Whether replace the first match string. Only used when is_regex = true
.
Transform plugin common parameters, please refer to Transform Plugin for details
The data read from source is a table like this:
name | age | card |
---|---|---|
Joy Ding | 20 | 123 |
May Ding | 20 | 123 |
Kin Dom | 20 | 123 |
Joy Dom | 20 | 123 |
We want to replace the char
to _
at the name
field. Then we can add a Replace
Transform like this:
transform {
Replace {
source_table_name = "fake"
result_table_name = "fake1"
replace_field = "name"
pattern = " "
replacement = "_"
is_regex = true
}
}
Then the data in result table fake1
will update to
name | age | card |
---|---|---|
Joy_Ding | 20 | 123 |
May_Ding | 20 | 123 |
Kin_Dom | 20 | 123 |
Joy_Dom | 20 | 123 |
env {
job.mode = "BATCH"
}
source {
FakeSource {
result_table_name = "fake"
row.num = 100
schema = {
fields {
id = "int"
name = "string"
}
}
}
}
transform {
Replace {
source_table_name = "fake"
result_table_name = "fake1"
replace_field = "name"
pattern = ".+"
replacement = "b"
is_regex = true
}
}
sink {
Console {
source_table_name = "fake1"
}
}
- Add Replace Transform Connector