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版本:2.3.3

FakeSource

FakeSource connector

Description

The FakeSource is a virtual data source, which randomly generates the number of rows according to the data structure of the user-defined schema, just for some test cases such as type conversion or connector new feature testing

Key features

Options

nametyperequireddefault value
schemaconfigyes-
rowsconfigno-
row.numintno5
split.numintno1
split.read-intervallongno1
map.sizeintno5
array.sizeintno5
bytes.lengthintno5
string.lengthintno5
string.fake.modestringnorange
tinyint.fake.modestringnorange
tinyint.mintinyintno0
tinyint.maxtinyintno127
tinyint.templatelistno-
smallint.fake.modestringnorange
smallint.minsmallintno0
smallint.maxsmallintno32767
smallint.templatelistno-
int.fake.templatestringnorange
int.minintno0
int.maxintno0x7fffffff
int.templatelistno-
bigint.fake.modestringnorange
bigint.minbigintno0
bigint.maxbigintno0x7fffffffffffffff
bigint.templatelistno-
float.fake.modestringnorange
float.minfloatno0
float.maxfloatno0x1.fffffeP+127
float.templatelistno-
double.fake.modestringnorange
double.mindoubleno0
double.maxdoubleno0x1.fffffffffffffP+1023
double.templatelistno-
common-optionsno-

schema [config]

fields [Config]

The schema of fake data that you want to generate

Examples

schema = {
fields {
c_map = "map<string, array<int>>"
c_array = "array<int>"
c_string = string
c_boolean = boolean
c_tinyint = tinyint
c_smallint = smallint
c_int = int
c_bigint = bigint
c_float = float
c_double = double
c_decimal = "decimal(30, 8)"
c_null = "null"
c_bytes = bytes
c_date = date
c_timestamp = timestamp
c_row = {
c_map = "map<string, map<string, string>>"
c_array = "array<int>"
c_string = string
c_boolean = boolean
c_tinyint = tinyint
c_smallint = smallint
c_int = int
c_bigint = bigint
c_float = float
c_double = double
c_decimal = "decimal(30, 8)"
c_null = "null"
c_bytes = bytes
c_date = date
c_timestamp = timestamp
}
}
}

rows

The row list of fake data output per degree of parallelism

example

rows = [
{
kind = INSERT
fields = [1, "A", 100]
},
{
kind = UPDATE_BEFORE
fields = [1, "A", 100]
},
{
kind = UPDATE_AFTER
fields = [1, "A_1", 100]
},
{
kind = DELETE
fields = [1, "A_1", 100]
}
]

row.num

The total number of data generated per degree of parallelism

split.num

the number of splits generated by the enumerator for each degree of parallelism

split.read-interval

The interval(mills) between two split reads in a reader

map.size

The size of map type that connector generated

array.size

The size of array type that connector generated

bytes.length

The length of bytes type that connector generated

string.length

The length of string type that connector generated

string.fake.mode

The fake mode of generating string data, support range and template, default range,if use configured it to template, user should also configured string.template option

string.template

The template list of string type that connector generated, if user configured it, connector will randomly select an item from the template list

tinyint.fake.mode

The fake mode of generating tinyint data, support range and template, default range,if use configured it to template, user should also configured tinyint.template option

tinyint.min

The min value of tinyint data that connector generated

tinyint.max

The max value of tinyint data that connector generated

tinyint.template

The template list of tinyint type that connector generated, if user configured it, connector will randomly select an item from the template list

smallint.fake.mode

The fake mode of generating smallint data, support range and template, default range,if use configured it to template, user should also configured smallint.template option

smallint.min

The min value of smallint data that connector generated

smallint.max

The max value of smallint data that connector generated

smallint.template

The template list of smallint type that connector generated, if user configured it, connector will randomly select an item from the template list

int.fake.mode

The fake mode of generating int data, support range and template, default range,if use configured it to template, user should also configured int.template option

int.min

The min value of int data that connector generated

int.max

The max value of int data that connector generated

int.template

The template list of int type that connector generated, if user configured it, connector will randomly select an item from the template list

bigint.fake.mode

The fake mode of generating bigint data, support range and template, default range,if use configured it to template, user should also configured bigint.template option

bigint.min

The min value of bigint data that connector generated

bigint.max

The max value of bigint data that connector generated

bigint.template

The template list of bigint type that connector generated, if user configured it, connector will randomly select an item from the template list

float.fake.mode

The fake mode of generating float data, support range and template, default range,if use configured it to template, user should also configured float.template option

float.min

The min value of float data that connector generated

float.max

The max value of float data that connector generated

float.template

The template list of float type that connector generated, if user configured it, connector will randomly select an item from the template list

double.fake.mode

The fake mode of generating float data, support range and template, default range,if use configured it to template, user should also configured double.template option

double.min

The min value of double data that connector generated

double.max

The max value of double data that connector generated

double.template

The template list of double type that connector generated, if user configured it, connector will randomly select an item from the template list

common options

Source plugin common parameters, please refer to Source Common Options for details

Example

Auto generate data rows

FakeSource {
row.num = 10
map.size = 10
array.size = 10
bytes.length = 10
string.length = 10
schema = {
fields {
c_map = "map<string, array<int>>"
c_array = "array<int>"
c_string = string
c_boolean = boolean
c_tinyint = tinyint
c_smallint = smallint
c_int = int
c_bigint = bigint
c_float = float
c_double = double
c_decimal = "decimal(30, 8)"
c_null = "null"
c_bytes = bytes
c_date = date
c_timestamp = timestamp
c_row = {
c_map = "map<string, map<string, string>>"
c_array = "array<int>"
c_string = string
c_boolean = boolean
c_tinyint = tinyint
c_smallint = smallint
c_int = int
c_bigint = bigint
c_float = float
c_double = double
c_decimal = "decimal(30, 8)"
c_null = "null"
c_bytes = bytes
c_date = date
c_timestamp = timestamp
}
}
}
}

Using fake data rows

FakeSource {
schema = {
fields {
pk_id = bigint
name = string
score = int
}
}
rows = [
{
kind = INSERT
fields = [1, "A", 100]
},
{
kind = INSERT
fields = [2, "B", 100]
},
{
kind = INSERT
fields = [3, "C", 100]
},
{
kind = UPDATE_BEFORE
fields = [1, "A", 100]
},
{
kind = UPDATE_AFTER
fields = [1, "A_1", 100]
},
{
kind = DELETE
fields = [2, "B", 100]
}
]
}

Using template

FakeSource {
row.num = 5
string.fake.mode = "template"
string.template = ["tyrantlucifer", "hailin", "kris", "fanjia", "zongwen", "gaojun"]
tinyint.fake.mode = "template"
tinyint.template = [1, 2, 3, 4, 5, 6, 7, 8, 9]
smalling.fake.mode = "template"
smallint.template = [10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
int.fake.mode = "template"
int.template = [20, 21, 22, 23, 24, 25, 26, 27, 28, 29]
bigint.fake.mode = "template"
bigint.template = [30, 31, 32, 33, 34, 35, 36, 37, 38, 39]
float.fake.mode = "template"
float.template = [40.0, 41.0, 42.0, 43.0]
double.fake.mode = "template"
double.template = [44.0, 45.0, 46.0, 47.0]
schema {
fields {
c_string = string
c_tinyint = tinyint
c_smallint = smallint
c_int = int
c_bigint = bigint
c_float = float
c_double = double
}
}
}

Use range

FakeSource {
row.num = 5
string.template = ["tyrantlucifer", "hailin", "kris", "fanjia", "zongwen", "gaojun"]
tinyint.min = 1
tinyint.max = 9
smallint.min = 10
smallint.max = 19
int.min = 20
int.max = 29
bigint.min = 30
bigint.max = 39
float.min = 40.0
float.max = 43.0
double.min = 44.0
double.max = 47.0
schema {
fields {
c_string = string
c_tinyint = tinyint
c_smallint = smallint
c_int = int
c_bigint = bigint
c_float = float
c_double = double
}
}
}

Changelog

2.2.0-beta 2022-09-26

  • Add FakeSource Source Connector

2.3.0-beta 2022-10-20

  • [Improve] Supports direct definition of data values(row) (2839)
  • [Improve] Improve fake source connector: (2944)
    • Support user-defined map size
    • Support user-defined array size
    • Support user-defined string length
    • Support user-defined bytes length
  • [Improve] Support multiple splits for fake source connector (2974)
  • [Improve] Supports setting the number of splits per parallelism and the reading interval between two splits (3098)

next version

  • [Feature] Support config fake data rows 3865
  • [Feature] Support config template or range for fake data 3932