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Version: 2.3.5

JsonPath

JsonPath transform plugin

Description

Support use jsonpath select data

Options

nametyperequireddefault value
ColumnsArrayYes

common options [string]

Transform plugin common parameters, please refer to Transform Plugin for details

fields[array]

option

nametyperequireddefault value
src_fieldStringYes
dest_fieldStringYes
pathStringYes
dest_typeStringNoString

src_field

the json source field you want to parse

Support SeatunnelDateType

  • STRING
  • BYTES
  • ARRAY
  • MAP
  • ROW

dest_field

after use jsonpath output field

dest_type

the type of dest field

path

Jsonpath

Read Json Example

The data read from source is a table like this json:

{
"data": {
"c_string": "this is a string",
"c_boolean": true,
"c_integer": 42,
"c_float": 3.14,
"c_double": 3.14,
"c_decimal": 10.55,
"c_date": "2023-10-29",
"c_datetime": "16:12:43.459",
"c_array":["item1", "item2", "item3"]
}
}

Assuming we want to use JsonPath to extract properties.

transform {
JsonPath {
source_table_name = "fake"
result_table_name = "fake1"
columns = [
{
"src_field" = "data"
"path" = "$.data.c_string"
"dest_field" = "c1_string"
},
{
"src_field" = "data"
"path" = "$.data.c_boolean"
"dest_field" = "c1_boolean"
"dest_type" = "boolean"
},
{
"src_field" = "data"
"path" = "$.data.c_integer"
"dest_field" = "c1_integer"
"dest_type" = "int"
},
{
"src_field" = "data"
"path" = "$.data.c_float"
"dest_field" = "c1_float"
"dest_type" = "float"
},
{
"src_field" = "data"
"path" = "$.data.c_double"
"dest_field" = "c1_double"
"dest_type" = "double"
},
{
"src_field" = "data"
"path" = "$.data.c_decimal"
"dest_field" = "c1_decimal"
"dest_type" = "decimal(4,2)"
},
{
"src_field" = "data"
"path" = "$.data.c_date"
"dest_field" = "c1_date"
"dest_type" = "date"
},
{
"src_field" = "data"
"path" = "$.data.c_datetime"
"dest_field" = "c1_datetime"
"dest_type" = "time"
},
{
"src_field" = "data"
"path" = "$.data.c_array"
"dest_field" = "c1_array"
"dest_type" = "array<string>"
}
]
}
}

Then the data result table fake1 will like this

datac1_stringc1_booleanc1_integerc1_floatc1_doublec1_decimalc1_datec1_datetimec1_array
too much content not to showthis is a stringtrue423.143.1410.552023-10-2916:12:43.459["item1", "item2", "item3"]

Read SeatunnelRow Example

Suppose a column in a row of data is of type SeatunnelRow and that the name of the column is col

SeatunnelRow(col)other
nameage....
a18....

The JsonPath transform converts the values of seatunnel into an array,

transform {
JsonPath {
source_table_name = "fake"
result_table_name = "fake1"
columns = [
{
"src_field" = "col"
"path" = "$[0]"
"dest_field" = "name"
"dest_type" = "string"
},
{
"src_field" = "col"
"path" = "$[1]"
"dest_field" = "age"
"dest_type" = "int"
}
]
}
}

Then the data result table fake1 will like this

nameagecolother
a18["a",18]...

Changelog

  • Add JsonPath Transform