Java Code Examples for org.apache.flink.api.common.operators.base.PartitionOperatorBase.PartitionMethod#REBALANCE

The following examples show how to use org.apache.flink.api.common.operators.base.PartitionOperatorBase.PartitionMethod#REBALANCE . You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may check out the related API usage on the sidebar.
Example 1
Source File: DataSet.java    From Flink-CEPplus with Apache License 2.0 2 votes vote down vote up 
/**
 * Enforces a re-balancing of the DataSet, i.e., the DataSet is evenly distributed over all parallel instances of the
 * following task. This can help to improve performance in case of heavy data skew and compute intensive operations.
 *
 * <p><b>Important:</b>This operation shuffles the whole DataSet over the network and can take significant amount of time.
 *
 * @return The re-balanced DataSet.
 */
public PartitionOperator<T> rebalance() {
	return new PartitionOperator<>(this, PartitionMethod.REBALANCE, Utils.getCallLocationName());
}
Example 2
Source File: DataSet.java    From flink with Apache License 2.0 2 votes vote down vote up 
/**
 * Enforces a re-balancing of the DataSet, i.e., the DataSet is evenly distributed over all parallel instances of the
 * following task. This can help to improve performance in case of heavy data skew and compute intensive operations.
 *
 * <p><b>Important:</b>This operation shuffles the whole DataSet over the network and can take significant amount of time.
 *
 * @return The re-balanced DataSet.
 */
public PartitionOperator<T> rebalance() {
	return new PartitionOperator<>(this, PartitionMethod.REBALANCE, Utils.getCallLocationName());
}
Example 3
Source File: DataSet.java    From flink with Apache License 2.0 2 votes vote down vote up 
/**
 * Enforces a re-balancing of the DataSet, i.e., the DataSet is evenly distributed over all parallel instances of the
 * following task. This can help to improve performance in case of heavy data skew and compute intensive operations.
 *
 * <p><b>Important:</b>This operation shuffles the whole DataSet over the network and can take significant amount of time.
 *
 * @return The re-balanced DataSet.
 */
public PartitionOperator<T> rebalance() {
	return new PartitionOperator<>(this, PartitionMethod.REBALANCE, Utils.getCallLocationName());
}