| // Licensed to the Apache Software Foundation (ASF) under one or more |
| // contributor license agreements. See the NOTICE file distributed with |
| // 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 |
| // limitations under the License. |
| |
| // Package spark contains the Spark runner. |
| package spark |
| |
| import ( |
| "context" |
| |
| "github.com/apache/beam/sdks/go/pkg/beam" |
| "github.com/apache/beam/sdks/go/pkg/beam/runners/universal" |
| ) |
| |
| func init() { |
| beam.RegisterRunner("spark", Execute) |
| } |
| |
| // Execute runs the given pipeline on Spark. Convenience wrapper over the |
| // universal runner. |
| func Execute(ctx context.Context, p *beam.Pipeline) error { |
| return universal.Execute(ctx, p) |
| } |