| #------------------------------------------------------------- |
| # |
| # 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. |
| # |
| #------------------------------------------------------------- |
| X = rand(rows=10000, cols=200, seed=42); #sp_rand |
| v = rand(rows=200, cols=1, seed=42); #cp_rand |
| |
| # Spark transformation operations |
| sp1 = X + ceil(X); |
| sp2 = sp1 %*% v; #output fits in local |
| |
| # CP instructions |
| v = ((v + v) * 1 - v) / (1+1); |
| v = ((v + v) * 2 - v) / (2+1); |
| |
| # 2 CP consumers (2 outputs of Prefetch) |
| cp1 = sp2 + sum(v); |
| cp2 = sum(sp2); |
| R = sum(cp1) + cp2; |
| write(R, $1, format="text"); |
