Flink : how to set task manager properties through flink code
i am getting error "Caused by: java.io.IOException: Insufficient number of network buffers: required 30, but only 25 available. The total number of network buffers is currently set to 12945 of 32768 bytes each. You can increase this number by setting the configuration keys 'taskmanager.network.memory.fraction', 'taskmanager.network.memory.min', and 'taskmanager.network.memory.max'."
I am running this flink code from eclipse.
I know how to set task manager properties from flink-conf.yaml
but how can i set if i am running through IDE.
apache-flink
asked Nov 14 '18 at 8:02
AnkitAnkit
103
add a comment |
i am getting error "Caused by: java.io.IOException: Insufficient number of network buffers: required 30, but only 25 available. The total number of network buffers is currently set to 12945 of 32768 bytes each. You can increase this number by setting the configuration keys 'taskmanager.network.memory.fraction', 'taskmanager.network.memory.min', and 'taskmanager.network.memory.max'."
I am running this flink code from eclipse.
I know how to set task manager properties from flink-conf.yaml
but how can i set if i am running through IDE.
apache-flink
asked Nov 14 '18 at 8:02
AnkitAnkit
103
add a comment |
i am getting error "Caused by: java.io.IOException: Insufficient number of network buffers: required 30, but only 25 available. The total number of network buffers is currently set to 12945 of 32768 bytes each. You can increase this number by setting the configuration keys 'taskmanager.network.memory.fraction', 'taskmanager.network.memory.min', and 'taskmanager.network.memory.max'."
I am running this flink code from eclipse.
I know how to set task manager properties from flink-conf.yaml
but how can i set if i am running through IDE.
apache-flink
asked Nov 14 '18 at 8:02
AnkitAnkit
103
i am getting error "Caused by: java.io.IOException: Insufficient number of network buffers: required 30, but only 25 available. The total number of network buffers is currently set to 12945 of 32768 bytes each. You can increase this number by setting the configuration keys 'taskmanager.network.memory.fraction', 'taskmanager.network.memory.min', and 'taskmanager.network.memory.max'."
I am running this flink code from eclipse.
I know how to set task manager properties from flink-conf.yaml
but how can i set if i am running through IDE.
apache-flink
apache-flink
asked Nov 14 '18 at 8:02
AnkitAnkit
103
asked Nov 14 '18 at 8:02
AnkitAnkit
103
asked Nov 14 '18 at 8:02
AnkitAnkit
103
asked Nov 14 '18 at 8:02
AnkitAnkit
103
asked Nov 14 '18 at 8:02
AnkitAnkit
103
103
add a comment |
add a comment |
1 Answer
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When executing DataSet jobs you need to call ExecutionEnvironment.createLocalEnvironment(Configuration configuration) in order to pass in a custom Configuration.
When executing DataStream jobs you need to call StreamExecutionEnvironment.createLocalEnvironment(int parallelism, Configuration configuration) in order to pass in a custom Configuration.
answered Nov 20 '18 at 15:54
Till RohrmannTill Rohrmann
9,17611136
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
When executing DataSet jobs you need to call ExecutionEnvironment.createLocalEnvironment(Configuration configuration) in order to pass in a custom Configuration.
When executing DataStream jobs you need to call StreamExecutionEnvironment.createLocalEnvironment(int parallelism, Configuration configuration) in order to pass in a custom Configuration.
answered Nov 20 '18 at 15:54
Till RohrmannTill Rohrmann
9,17611136
add a comment |
When executing DataSet jobs you need to call ExecutionEnvironment.createLocalEnvironment(Configuration configuration) in order to pass in a custom Configuration.
When executing DataStream jobs you need to call StreamExecutionEnvironment.createLocalEnvironment(int parallelism, Configuration configuration) in order to pass in a custom Configuration.
answered Nov 20 '18 at 15:54
Till RohrmannTill Rohrmann
9,17611136
add a comment |
When executing DataSet jobs you need to call ExecutionEnvironment.createLocalEnvironment(Configuration configuration) in order to pass in a custom Configuration.
When executing DataStream jobs you need to call StreamExecutionEnvironment.createLocalEnvironment(int parallelism, Configuration configuration) in order to pass in a custom Configuration.
answered Nov 20 '18 at 15:54
Till RohrmannTill Rohrmann
9,17611136
When executing DataSet jobs you need to call ExecutionEnvironment.createLocalEnvironment(Configuration configuration) in order to pass in a custom Configuration.
When executing DataStream jobs you need to call StreamExecutionEnvironment.createLocalEnvironment(int parallelism, Configuration configuration) in order to pass in a custom Configuration.
answered Nov 20 '18 at 15:54
Till RohrmannTill Rohrmann
9,17611136
answered Nov 20 '18 at 15:54
Till RohrmannTill Rohrmann
9,17611136
answered Nov 20 '18 at 15:54
Till RohrmannTill Rohrmann
9,17611136
answered Nov 20 '18 at 15:54
Till RohrmannTill Rohrmann
9,17611136
9,17611136
add a comment |
add a comment |
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