我正在尝试计算猪脚本中包含以下单词的行数:'jack', 'hack', 'mat', 'throttle'
。我正在使用Cloudera quickstart vm。
输入文件是:
09-jack-17,5:00PM;#slowmotion,Tribune Logic hack: how is life in temrs of money Creative hack
14-June-18,7:15PM;#Indiacalling,Horton-NJ Strategic/Halloween One World at Application Deployment
12-jack-16,jfh:er;#temporary, accomodation, osteoporosis, juxtapose, don't misinterpret this awaiting throttle jack
输出应为: 黑客2 杰克2 油门1 垫子0 我无法提取这些词并计算它的数量。我该怎么办? 我尝试了以下由inquisitive_mind提供的脚本:
A = LOAD 'Input.txt'AS(line: chararray);
SPLIT A INTO M IF line matches'hackathon,N IF line matches'dec', O IF line matches'chicago',P IF line matches'java';
M1 = GROUP M ALL;
M2 = FOR EACH M1 GENERATE COUNT(M);
M3 = FOREACH M2 GENERATE CONCAT('hackathon',(chararray)M2.$0);
N1 = GROUP N ALL;
N2 = FOREACH N1 GENERATE COUNT(N);
N3 = FOREACHN2 GENERATE CONCAT('dec',(chararray)N2.$0);
O1 = GROUP O ALL;
O2 = FOREACH O1 GENERATE COUNT(O);
O3 = FOR EACH O2 GENERATE CONCAT('chicago',(chararray)O2.$0);
P1 = GROUP P ALL;
P2 = FOR EACH P1 GENERATE COUNT(P);
P3 = FOREACH P2 GENERATE CONCAT('java',(chararray)P2.$0);
DUMP M3;
DUMP N3;
DUMP O3;
DUMP P3;
但是当我在mapreduce或本地模式下运行时,我收到以下错误:
2016-10-11 09:43:43,484 [main]错误org.apache.pig.tools.grunt.Grunt - 错误1000:解析时出错。第19行第0列的词法错误。遇到:之后:“”日志文件中的详细信息:/home/cloudera/pig_1476204218406.log
这是日志文件:
ERROR 1000: Error during parsing. Lexical error at line 19, column 0. Encountered: <EOF> after : ""
org.apache.pig.tools.pigscript.parser.TokenMgrError: Lexical error at line 19, column 0. Encountered: <EOF> after : ""
at org.apache.pig.tools.pigscript.parser.PigScriptParserTokenManager.getNextToken(PigScriptParserTokenManager.java:3326)
at org.apache.pig.tools.pigscript.parser.PigScriptParser.jj_ntk(PigScriptParser.java:1379)
at org.apache.pig.tools.pigscript.parser.PigScriptParser.parse(PigScriptParser.java:106)
at org.apache.pig.tools.grunt.GruntParser.parseStopOnError(GruntParser.java:198)
at org.apache.pig.tools.grunt.GruntParser.parseStopOnError(GruntParser.java:173)
at org.apache.pig.tools.grunt.Grunt.exec(Grunt.java:84)
at org.apache.pig.Main.run(Main.java:613)
at org.apache.pig.Main.main(Main.java:158)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.hadoop.util.RunJar.run(RunJar.java:221)
at org.apache.hadoop.util.RunJar.main(RunJar.java:136)
答案 0 :(得分:0)
如果单词固定且数量较少,您可以使用split
并计算行数。
A = LOAD 'data.txt' AS (line:chararray);
SPLIT A INTO M IF line matches 'jack', N IF line matches 'hack',O IF line matches 'throttle', P IF line matches 'mat';
M1 = GROUP M ALL;
M2 = FOREACH M1 COUNT(M);
M3 = FOREACH M2 GENERATE CONCAT('jack ',(chararray)M2.$0);
N1 = GROUP N ALL;
N2 = FOREACH N1 COUNT(N);
N3 = FOREACH N2 GENERATE CONCAT('hack ',(chararray)N2.$0);
O1 = GROUP O ALL;
O2 = FOREACH O1 COUNT(O);
O3 = FOREACH O2 GENERATE CONCAT('throttle ',(chararray)O2.$0);
P1 = GROUP P ALL;
P2 = FOREACH P1 COUNT(P);
P3 = FOREACH P2 GENERATE CONCAT('mat ',(chararray)P2.$0);
DUMP M3;
DUMP N3;
DUMP O3;
DUMP P3;