| /* |
| * 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. |
| */ |
| |
| REGISTER '../../datafu-pig/build/libs/datafu-pig-1.2.1.jar'; |
| |
| DEFINE ExactQuartile datafu.pig.stats.Quantile( '5'); |
| DEFINE ApproxQuartile datafu.pig.stats.StreamingQuantile('5'); |
| -- Similar to (with different field names): |
| -- DEFINE ExactQuartile datafu.pig.stats.Quantile( '0.0', '0.25', '0.50', '0.75', '1.0' ); |
| -- DEFINE ApproxQuartile datafu.pig.stats.StreamingQuantile( '0.0', '0.25', '0.50', '0.75', '1.0' ); |
| |
| DEFINE FirstTupleFromBag datafu.pig.bags.FirstTupleFromBag; |
| |
| temperature = LOAD 'temperature.tsv' AS (id:chararray, temp:double); |
| temperature = GROUP temperature BY id; |
| |
| quartiles_fast = FOREACH temperature { |
| -- sort not necessary, because streaming |
| GENERATE group as id, COUNT_STAR(temperature) AS n_recs, ApproxQuartile(temperature.temp) AS qvals:tuple(q0,q1,q2,q3,q4); |
| }; |
| DESCRIBE quartiles_fast; |
| |
| quartiles_slow = FOREACH temperature { |
| -- sort is necessary, because exact |
| sorted = ORDER temperature by temp; |
| GENERATE group as id, COUNT_STAR(temperature) AS n_recs, ExactQuartile(sorted.temp) AS qvals:tuple(q0,q1,q2,q3,q4); |
| }; |
| DESCRIBE quartiles_slow; |
| |
| -- |
| -- Group the two results together and compare. |
| -- The differences are in the range of 0.5% to 1.5% |
| -- |
| quartiles_diff = FOREACH (COGROUP quartiles_slow BY id, quartiles_fast BY id) { |
| count_fast = FirstTupleFromBag(quartiles_fast.n_recs, null); |
| count_slow = FirstTupleFromBag(quartiles_fast.n_recs, null); |
| qvals_fast = FirstTupleFromBag(quartiles_fast.qvals, null).qvals; |
| qvals_slow = FirstTupleFromBag(quartiles_slow.qvals, null).qvals; |
| |
| GENERATE group AS id, count_fast.n_recs, qvals_slow AS qvals, |
| ( (qvals_fast.q0 - qvals_slow.q0) / qvals_slow.q0, |
| (qvals_fast.q1 - qvals_slow.q1) / qvals_slow.q1, |
| (qvals_fast.q2 - qvals_slow.q2) / qvals_slow.q2, |
| (qvals_fast.q3 - qvals_slow.q3) / qvals_slow.q3, |
| (qvals_fast.q4 - qvals_slow.q4) / qvals_slow.q4 ) AS diffs:tuple(dq0,dq1,dq2,dq3,dq4) |
| ; |
| }; |
| DESCRIBE quartiles_diff; |
| |
| rmf /tmp/quartiles-approx; |
| STORE quartiles_fast INTO '/tmp/quartiles-approx'; |
| |
| rmf /tmp/quartiles-diff; |
| STORE quartiles_diff INTO '/tmp/quartiles-diff'; |