• mongodb读取测试


    1. there are a large amount of data in Hbase (row numer = 3849920), read all data from mongodb again and below is the log:

    [azureuser@h3crd-wlan31 ~]$ kubectl logs histclientsdataetl-20161028141055-doize |grep @ETL@ @ETL@ getLatestOnlineTime: 2016-10-27 23:59:59.815 @ETL@ get uplineDate from hbase: 2016-10-27 23:59:59.815 @ETL@ getCurrentPosFromDB: 2016-10-27 23:59:59.815 @ETL@ Start finding at time: 2016-10-28 15:00:17.991, startFindDayIndex=17101 @ETL@ Finding finished at time: 2016-10-28 15:00:21.551 @ETL@ Wrting to Hbase has been finished ! @ETL@readCount: 3849920,putCount: 0,time: 2016-10-28 15:11:48.784 @ETL@ child file name: 1.1.1.1-histclientsdataetl @ETL@ Change logfile name has finished: 2016-10-28 15:11:48.792 @ETL@ cmd: sh /home/mongo-hive-hbase/Hive_HistClientsInfoAnalysis.sh @ETL@: exec has finished! @ETL@ new Executing remote hive shell has finished: 2016-10-28 15:12:49.273 @ETL@ result:

    将代码改为批量获取后的效果(10695026条数据共4个G左右):

    public MongoCursor<Document> find(Bson filter)
        {
            FindIterable<Document> findIterable = this.collection.find(filter).batchSize(50000);
            MongoCursor<Document> mongoCursor = findIterable.iterator();
    
            return mongoCursor;
        }
    [azureuser@h3crd-wlan31 ~]$ kubectl logs histclientsdataetl-xubd1 |grep @ETL@
    @ETL@ getLatestOnlineTime: 2016-10-28 23:59:59.982
    @ETL@ get uplineDate from hbase: 2016-10-28 23:59:59.982
    @ETL@ getCurrentPosFromDB: 2016-10-28 23:59:59.982
    @ETL@ Start finding at time: 2016-10-31 00:05:02.858, startFindDayIndex=17102
    @ETL@ Finding finished at time: 2016-10-31 00:05:04.154
    @ETL@ Wrting to Hbase has been finished !
    @ETL@ upDateLatestOnlineTime: 2016-10-30 23:59:59.999
    @ETL@readCount: 10695026,putCount: 10695026,time: 2016-10-31 00:48:41.78

    数据量是之前的2.7倍,拉取时间4倍,读取的时候是从Mongodb的备服务器上读取

    继续修改代码加batchsize增加一倍后:

    public MongoCursor<Document> find(Bson filter)
        {
            FindIterable<Document> findIterable = this.collection.find(filter).batchSize(100000);
            MongoCursor<Document> mongoCursor = findIterable.iterator();
    
            return mongoCursor;
        }
    [azureuser@h3crd-wlan31 ~]$ kubectl logs histclientsdataetl-20161031095007-qv4fd |grep @ETL@
    @ETL@ getLatestOnlineTime: 2016-10-30 23:59:59.999
    @ETL@ get uplineDate from hbase: 2016-10-30 23:59:59.999
    @ETL@ getCurrentPosFromDB: 2016-10-30 23:59:59.999
    @ETL@ Start finding at time: 2016-10-31 10:26:55.071, startFindDayIndex=17104
    @ETL@ Finding finished at time: 2016-10-31 10:26:56.406
    @ETL@ Wrting to Hbase has been finished !
    @ETL@readCount: 7936993,putCount: 0,time: 2016-10-31 11:04:02.219

    数据量2.06倍,时间3.08倍

  • 相关阅读:
    loushang框架的开发中关于BSP的使用,将写好的功能模块部署到主页界面结构上
    浪潮“楼上”开发平台简介
    New博客园新的开始!
    python相关
    day20 函数闭包与装饰器
    计算机基础
    day19 生成器函数
    简历
    day18 迭代器
    数据库基础(代码)
  • 原文地址:https://www.cnblogs.com/zhengchunhao/p/6008829.html
Copyright © 2020-2023  润新知