SeaTunnel Runs On Spark
Spark is a powerful high-performance distributed calculate processing engine. More information about it you can search for Apache Spark
Set Spark Configuration Information In The Jobâ
Example: I set some spark conf for this job
env {
spark.app.name = "example"
spark.sql.catalogImplementation = "hive"
spark.executor.memory= "2g"
spark.executor.instances = "2"
spark.yarn.priority = "100'
hive.exec.dynamic.partition.mode = "nonstrict"
spark.dynamicAllocation.enabled="false"
}
Command Line Exampleâ
Spark on Yarn Clusterâ
./bin/start-seatunnel-spark-3-connector-v2.sh --master yarn --deploy-mode cluster --config config/example.conf
Spark on Yarn Clusterâ
./bin/start-seatunnel-spark-3-connector-v2.sh --master yarn --deploy-mode client --config config/example.conf
How To Set Up A Simple Spark Jobâ
This is a simple job that runs on Spark. Randomly generated data is printed to the console
env {
# common parameter
parallelism = 1
# spark special parameter
spark.app.name = "example"
spark.sql.catalogImplementation = "hive"
spark.executor.memory= "2g"
spark.executor.instances = "1"
spark.yarn.priority = "100"
hive.exec.dynamic.partition.mode = "nonstrict"
spark.dynamicAllocation.enabled="false"
}
source {
FakeSource {
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
}
}
}
}
}
transform {
# If you would like to get more information about how to configure seatunnel and see full list of transform plugins,
# please go to https://seatunnel.apache.org/docs/transform-v2/sql
}
sink{
Console{}
}
How To Run A Job In A Projectâ
After you pull the code to the local, go to the seatunnel-examples/seatunnel-spark-connector-v2-example
module and find org.apache.seatunnel.example.spark.v2.SeaTunnelApiExample
to complete the operation of the job.