#
# Licensed to the Apache Software Foundation (ASF) under one or more
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# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License.  You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
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#

######
###### This config file is a demonstration of batch processing in SeaTunnel config
######

env {
  # You can set spark configuration here
  # see available properties defined by spark: https://spark.apache.org/docs/latest/configuration.html#available-properties
  spark.app.name = "SeaTunnel"
  spark.executor.instances = 2
  spark.executor.cores = 1
  spark.executor.memory = "1g"
}

source {
  # This is a example input plugin **only for test and demonstrate the feature input plugin**
  Fake {
    result_table_name = "my_dataset"
  }

  # You can also use other input plugins, such as hdfs
  # hdfs {
  #   result_table_name = "accesslog"
  #   path = "hdfs://hadoop-cluster-01/nginx/accesslog"
  #   format = "json"
  # }

  # If you would like to get more information about how to configure seatunnel and see full list of input plugins,
  # please go to https://seatunnel.apache.org/docs/spark/configuration/source-plugins/Fake
}

transform {
  # split data by specific delimiter

  # you can also use other transform plugins, such as sql
  # sql {
  #   sql = "select * from accesslog where request_time > 1000"
  # }

  # 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/spark/configuration/transform-plugins/Split
}

sink {
  # choose stdout output plugin to output data to console
  Console {}

  # you can also you other output plugins, such as sql
  # hdfs {
  #   path = "hdfs://hadoop-cluster-01/nginx/accesslog_processed"
  #   save_mode = "append"
  # }

  # If you would like to get more information about how to configure seatunnel and see full list of output plugins,
  # please go to https://seatunnel.apache.org/docs/spark/configuration/sink-plugins/Console
}
