Pig开发手册

在Pig中使用OSS

oss://${AccessKeyId}:${AccessKeySecret}@${bucket}.${endpoint}/${path}

实施步骤

以Pig中带script1-hadoop.pig为例进行说明，将Pig中的 tutorial.jar和 excite.log.bz2上传至OSS。例如上传路径为oss://emr/jars/tutorial.jar和oss://emr/data/excite.log.bz2。

1. 编写脚本
   根据准备工作中所上传的OSS路径，修改脚本中的JAR包文件路径和输入输出路径。

   /*
    * 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.
   */
   -- Query Phrase Popularity (Hadoop cluster)
   -- This script processes a search query log file from the Excite search engine and finds search phrases that occur with particular high frequency during certain times of the day.
   -- Register the tutorial JAR file so that the included UDFs can be called in the script.
   REGISTER oss://${AccessKeyId}:${AccessKeySecret}@${bucket}.${endpoint}/data/tutorial.jar;
   -- Use the  PigStorage function to load the excite log file into the ▒raw▒ bag as an array of records.
   -- Input: (user,time,query)
   raw = LOAD 'oss://${AccessKeyId}:${AccessKeySecret}@${bucket}.${endpoint}/data/excite.log.bz2' USING PigStorage('\t') AS (user, time, query);
   -- Call the NonURLDetector UDF to remove records if the query field is empty or a URL.
   clean1 = FILTER raw BY org.apache.pig.tutorial.NonURLDetector(query);
   -- Call the ToLower UDF to change the query field to lowercase.
   clean2 = FOREACH clean1 GENERATE user, time,     org.apache.pig.tutorial.ToLower(query) as query;
   -- Because the log file only contains queries for a single day, we are only interested in the hour.
   -- The excite query log timestamp format is YYMMDDHHMMSS.
   -- Call the ExtractHour UDF to extract the hour (HH) from the time field.
   houred = FOREACH clean2 GENERATE user, org.apache.pig.tutorial.ExtractHour(time) as hour, query;
   -- Call the NGramGenerator UDF to compose the n-grams of the query.
   ngramed1 = FOREACH houred GENERATE user, hour, flatten(org.apache.pig.tutorial.NGramGenerator(query)) as ngram;
   -- Use the  DISTINCT command to get the unique n-grams for all records.
   ngramed2 = DISTINCT ngramed1;
   -- Use the  GROUP command to group records by n-gram and hour.
   hour_frequency1 = GROUP ngramed2 BY (ngram, hour);
   -- Use the  COUNT function to get the count (occurrences) of each n-gram.
   hour_frequency2 = FOREACH hour_frequency1 GENERATE flatten($0), COUNT($1) as count;
   -- Use the  GROUP command to group records by n-gram only.
   -- Each group now corresponds to a distinct n-gram and has the count for each hour.
   uniq_frequency1 = GROUP hour_frequency2 BY group::ngram;
   -- For each group, identify the hour in which this n-gram is used with a particularly high frequency.
   -- Call the ScoreGenerator UDF to calculate a "popularity" score for the n-gram.
   uniq_frequency2 = FOREACH uniq_frequency1 GENERATE flatten($0), flatten(org.apache.pig.tutorial.ScoreGenerator($1));
   -- Use the  FOREACH-GENERATE command to assign names to the fields.
   uniq_frequency3 = FOREACH uniq_frequency2 GENERATE $1 as hour, $0 as ngram, $2 as score, $3 as count, $4 as mean;
   -- Use the  FILTER command to move all records with a score less than or equal to 2.0.
   filtered_uniq_frequency = FILTER uniq_frequency3 BY score > 2.0;
   -- Use the  ORDER command to sort the remaining records by hour and score.
   ordered_uniq_frequency = ORDER filtered_uniq_frequency BY hour, score;
   -- Use the  PigStorage function to store the results.
   -- Output: (hour, n-gram, score, count, average_counts_among_all_hours)
   STORE ordered_uniq_frequency INTO 'oss://${AccessKeyId}:${AccessKeySecret}@${bucket}.${endpoint}/data/script1-hadoop-results' USING PigStorage();

   上传script1-hadoop.pig脚本至OSS，例如oss://emr/jars/script1-hadoop.pig。

2. 创建作业

   在数据开发中创建Pig作业，详情请参见Pig作业配置。

   作业内容如下。

   -f ossref://emr/jars/script1-hadoop.pig

3. 运行作业

   单击运行以运行作业。您可以关联一个已有的集群，也可以自动按需创建一个，然后关联上创建的作业。