Heim >Datenbank >MySQL-Tutorial >newlisp跟踪jobtracker状态
基本思路,通过newlisp定时下载jobtracker页面,用正则表达式解析html中的table元素,然后获得最新的mapreduce的状态。 每次获得状态数据后,存入mysql数据库,然后用tableau将mapreduce集群状态用报表呈现。 这是jobtracker站点的数据 这是Tableau绘制的报
基本思路,通过newlisp定时下载jobtracker页面,用正则表达式解析html中的table元素,然后获得最新的mapreduce的状态。
每次获得状态数据后,存入mysql数据库,然后用tableau将mapreduce集群状态用报表呈现。
这是jobtracker站点的数据
这是Tableau绘制的报表
这样就可以用数据可视化的方式展示Hadoop集群计算的压力状态。
下面是newlisp代码,主要就是用正则表达式解析html,用mysql模块写入数据库。
#!/usr/bin/newlisp (load "mysql.lsp") (define (check-args) (print "args: ") (println (main-args)) (set 'args-length (length (main-args))) (if (< args-length 3) (begin (println "the number of args must be 3 or 4, e.g. ./job.lsp jobtracker.bigdata.cn 8080") (exit)))) (define (parse-args) (set 'domain (main-args 2)) (if (= 4 args-length) (set 'port (main-args 3))) (if (= 3 args-length) (set 'port "80")) (set 'url (string "http://" domain ":" port "/jobtracker.jsp")) (println (string "job tracker site is located at " url))) (define (access-job-tracker-site) (set 'page-content (get-url url)) (extract-tables page-content) ) (define (extract-summary-table table) (if (regex "Running Map Tasks" table) table) ) (define (get-number td) (set 'r ((regex "<td>(.*)</td>" td) 3)) (if (find "<a href" r) ((regex "<a.*?>(.*)</a>" r) 3) r)) (define (remove-td tds) (set 'result '()) (dolist (td tds) (push (get-number td) result -1) ) result ) (define (parse-summary-table table) (set 'all-tds (find-all "<td>[\\s\\S]*?</td>" table)) (set 'all-summary-values (remove-td all-tds)) ) (define (extract-tables html-content) (set 'all-tables (find-all "<table[^>]+>[\\s\\S]*?</table>" html-content)) (dolist (table all-tables) (if (extract-summary-table table) (set 'summary-table table)) ) (parse-summary-table summary-table) ) (define (write-summary-to-mysql all-summary-values) (println all-summary-values) (set 'mysql-instance (Mysql)) (println "mysql-instance: " mysql-instance) (set 'mysql-host "10.100.10.10") (set 'mysql-port 3306) (set 'mysql-user "user") (set 'mysql-pwd "123456") (set 'mysql-db "bigdata_data_market") (set 'job-tracker-summary-table "hadoop_job_tracker_summary") (:connect mysql-instance mysql-host mysql-user mysql-pwd mysql-db mysql-port) (:query mysql-instance "SET character_set_client = utf8;") (set 'insert-summary-sql (format "insert into %s (collect_time,running_map_tasks,running_reduce_tasks,total_submissions,nodes,occupied_map_slots,occupied_reduce_slots,reserved_map_slots,reserved_reduce_slots,map_task_capacity,reduce_task_capacity,average_tasks_per_node,blacked_listed_nodes,gray_listed_nodes,exclueded_nodes) values (now(),%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s)" job-tracker-summary-table (all-summary-values 0) (all-summary-values 1) (all-summary-values 2) (all-summary-values 3) (all-summary-values 4) (all-summary-values 5) (all-summary-values 6) (all-summary-values 7) (all-summary-values 8) (all-summary-values 9) (all-summary-values 10) (all-summary-values 11) (all-summary-values 12) (all-summary-values 13))) (println insert-summary-sql) (:query mysql-instance insert-summary-sql) ) ;; main logic starts now (check-args) (parse-args) (access-job-tracker-site) (write-summary-to-mysql all-summary-values) (exit)