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)