clickhouse安装数据导入及查询测试
官网
quick start
ubantu
wget https://repo.yandex.ru/clickhouse/deb/lts/main/clickhouse-common-static-dbg_20.3.9.70_amd64.deb
wget https://repo.yandex.ru/clickhouse/deb/lts/main/clickhouse-common-static_20.3.9.70_amd64.deb
wget https://repo.yandex.ru/clickhouse/deb/lts/main/clickhouse-server_20.3.9.70_all.deb
wget https://repo.yandex.ru/clickhouse/deb/lts/main/clickhouse-client_20.3.9.70_all.deb
中间有个弹出框,输入默认用户的密码
# dpkg -i *.deb
Selecting previously unselected package clickhouse-client.
(Reading database ... 211706 files and directories currently installed.)
Preparing to unpack clickhouse-client_20.3.9.70_all.deb ...
Unpacking clickhouse-client (20.3.9.70) ...
Selecting previously unselected package clickhouse-common-static.
Preparing to unpack clickhouse-common-static_20.3.9.70_amd64.deb ...
Unpacking clickhouse-common-static (20.3.9.70) ...
Selecting previously unselected package clickhouse-common-static-dbg.
Preparing to unpack clickhouse-common-static-dbg_20.3.9.70_amd64.deb ...
Unpacking clickhouse-common-static-dbg (20.3.9.70) ...
Selecting previously unselected package clickhouse-server.
Preparing to unpack clickhouse-server_20.3.9.70_all.deb ...
Unpacking clickhouse-server (20.3.9.70) ...
Setting up clickhouse-common-static (20.3.9.70) ...
Setting up clickhouse-common-static-dbg (20.3.9.70) ...
Setting up clickhouse-server (20.3.9.70) ...
ClickHouse init script has migrated to systemd. Please manually stop old server and restart the service: sudo killall clickhouse-server && sleep 5 && sudo service clickhouse-server restart
Synchronizing state of clickhouse-server.service with SysV service script with /lib/systemd/systemd-sysv-install.
Executing: /lib/systemd/systemd-sysv-install enable clickhouse-server
Created symlink /etc/systemd/system/multi-user.target.wants/clickhouse-server.service → /etc/systemd/system/clickhouse-server.service.
Path to data directory in /etc/clickhouse-server/config.xml: /var/lib/clickhouse/
Setting up clickhouse-client (20.3.9.70) ...
Processing triggers for systemd (245.4-4ubuntu3.2) ...
systemctl start clickhouse-server.service
clickhouse-client --password=rootroot
centos
进入下面目录,手工下载软件然后安装
https://repo.clickhouse.tech/rpm/lts/x86_64/
或者直接下载这四个文件
wget https://repo.clickhouse.tech/rpm/lts/x86_64/clickhouse-client-20.3.9.70-2.noarch.rpm
wget https://repo.clickhouse.tech/rpm/lts/x86_64/clickhouse-common-static-20.3.9.70-2.x86_64.rpm
wget https://repo.clickhouse.tech/rpm/lts/x86_64/clickhouse-common-static-dbg-20.3.9.70-2.x86_64.rpm
wget https://repo.clickhouse.tech/rpm/lts/x86_64/clickhouse-server-20.3.9.70-2.noarch.rpm
安装
rpm -ivh *.rpm
yum localinstall -y *.rpm
卸载
rpm -qa |grep clickhouse
rpm -e rpm包名
systemctl start clickhouse-server.service
systemctl status clickhouse-server.service
systemctl stop clickhouse-server.service
systemctl restart clickhouse-server.service
客户端使用
clickhouse-client
测试数据
https://clickhouse-datasets.s3.yandex.net/hits/tsv/hits_v1.tsv.xz
https://clickhouse-datasets.s3.yandex.net/visits/tsv/visits_v1.tsv.xz
yum install xz
xz -d hits_v1.tsv.xz
xz -d visits_v1.tsv.xz
创建数据库
clickhouse-client --query "CREATE DATABASE IF NOT EXISTS tutorial"
建表
-m 可以执行一个多行语句
clickhouse-client -m
CREATE TABLE tutorial.hits_v1
(
`WatchID` UInt64,
`JavaEnable` UInt8,
`Title` String,
`GoodEvent` Int16,
`EventTime` DateTime,
`EventDate` Date,
`CounterID` UInt32,
`ClientIP` UInt32,
`ClientIP6` FixedString(16),
`RegionID` UInt32,
`UserID` UInt64,
`CounterClass` Int8,
`OS` UInt8,
`UserAgent` UInt8,
`URL` String,
`Referer` String,
`URLDomain` String,
`RefererDomain` String,
`Refresh` UInt8,
`IsRobot` UInt8,
`RefererCategories` Array(UInt16),
`URLCategories` Array(UInt16),
`URLRegions` Array(UInt32),
`RefererRegions` Array(UInt32),
`ResolutionWidth` UInt16,
`ResolutionHeight` UInt16,
`ResolutionDepth` UInt8,
`FlashMajor` UInt8,
`FlashMinor` UInt8,
`FlashMinor2` String,
`NetMajor` UInt8,
`NetMinor` UInt8,
`UserAgentMajor` UInt16,
`UserAgentMinor` FixedString(2),
`CookieEnable` UInt8,
`JavascriptEnable` UInt8,
`IsMobile` UInt8,
`MobilePhone` UInt8,
`MobilePhoneModel` String,
`Params` String,
`IPNetworkID` UInt32,
`TraficSourceID` Int8,
`SearchEngineID` UInt16,
`SearchPhrase` String,
`AdvEngineID` UInt8,
`IsArtifical` UInt8,
`WindowClientWidth` UInt16,
`WindowClientHeight` UInt16,
`ClientTimeZone` Int16,
`ClientEventTime` DateTime,
`SilverlightVersion1` UInt8,
`SilverlightVersion2` UInt8,
`SilverlightVersion3` UInt32,
`SilverlightVersion4` UInt16,
`PageCharset` String,
`CodeVersion` UInt32,
`IsLink` UInt8,
`IsDownload` UInt8,
`IsNotBounce` UInt8,
`FUniqID` UInt64,
`HID` UInt32,
`IsOldCounter` UInt8,
`IsEvent` UInt8,
`IsParameter` UInt8,
`DontCountHits` UInt8,
`WithHash` UInt8,
`HitColor` FixedString(1),
`UTCEventTime` DateTime,
`Age` UInt8,
`Sex` UInt8,
`Income` UInt8,
`Interests` UInt16,
`Robotness` UInt8,
`GeneralInterests` Array(UInt16),
`RemoteIP` UInt32,
`RemoteIP6` FixedString(16),
`WindowName` Int32,
`OpenerName` Int32,
`HistoryLength` Int16,
`BrowserLanguage` FixedString(2),
`BrowserCountry` FixedString(2),
`SocialNetwork` String,
`SocialAction` String,
`HTTPError` UInt16,
`SendTiming` Int32,
`DNSTiming` Int32,
`ConnectTiming` Int32,
`ResponseStartTiming` Int32,
`ResponseEndTiming` Int32,
`FetchTiming` Int32,
`RedirectTiming` Int32,
`DOMInteractiveTiming` Int32,
`DOMContentLoadedTiming` Int32,
`DOMCompleteTiming` Int32,
`LoadEventStartTiming` Int32,
`LoadEventEndTiming` Int32,
`NSToDOMContentLoadedTiming` Int32,
`FirstPaintTiming` Int32,
`RedirectCount` Int8,
`SocialSourceNetworkID` UInt8,
`SocialSourcePage` String,
`ParamPrice` Int64,
`ParamOrderID` String,
`ParamCurrency` FixedString(3),
`ParamCurrencyID` UInt16,
`GoalsReached` Array(UInt32),
`OpenstatServiceName` String,
`OpenstatCampaignID` String,
`OpenstatAdID` String,
`OpenstatSourceID` String,
`UTMSource` String,
`UTMMedium` String,
`UTMCampaign` String,
`UTMContent` String,
`UTMTerm` String,
`FromTag` String,
`HasGCLID` UInt8,
`RefererHash` UInt64,
`URLHash` UInt64,
`CLID` UInt32,
`YCLID` UInt64,
`ShareService` String,
`ShareURL` String,
`ShareTitle` String,
`ParsedParams` Nested(
Key1 String,
Key2 String,
Key3 String,
Key4 String,
Key5 String,
ValueDouble Float64),
`IslandID` FixedString(16),
`RequestNum` UInt32,
`RequestTry` UInt8
)
ENGINE = MergeTree()
PARTITION BY toYYYYMM(EventDate)
ORDER BY (CounterID, EventDate, intHash32(UserID))
SAMPLE BY intHash32(UserID)
SETTINGS index_granularity = 8192;
存储引擎 MergeTree
按EventData分区
按CounterID, EventDate, intHash32(UserID)三列的顺序存储数据,如果表中不显式指定主键,则以此为默认主键
按intHash32(UserID)采样
index_granularity设置索引粒度
CREATE TABLE tutorial.visits_v1
(
`CounterID` UInt32,
`StartDate` Date,
`Sign` Int8,
`IsNew` UInt8,
`VisitID` UInt64,
`UserID` UInt64,
`StartTime` DateTime,
`Duration` UInt32,
`UTCStartTime` DateTime,
`PageViews` Int32,
`Hits` Int32,
`IsBounce` UInt8,
`Referer` String,
`StartURL` String,
`RefererDomain` String,
`StartURLDomain` String,
`EndURL` String,
`LinkURL` String,
`IsDownload` UInt8,
`TraficSourceID` Int8,
`SearchEngineID` UInt16,
`SearchPhrase` String,
`AdvEngineID` UInt8,
`PlaceID` Int32,
`RefererCategories` Array(UInt16),
`URLCategories` Array(UInt16),
`URLRegions` Array(UInt32),
`RefererRegions` Array(UInt32),
`IsYandex` UInt8,
`GoalReachesDepth` Int32,
`GoalReachesURL` Int32,
`GoalReachesAny` Int32,
`SocialSourceNetworkID` UInt8,
`SocialSourcePage` String,
`MobilePhoneModel` String,
`ClientEventTime` DateTime,
`RegionID` UInt32,
`ClientIP` UInt32,
`ClientIP6` FixedString(16),
`RemoteIP` UInt32,
`RemoteIP6` FixedString(16),
`IPNetworkID` UInt32,
`SilverlightVersion3` UInt32,
`CodeVersion` UInt32,
`ResolutionWidth` UInt16,
`ResolutionHeight` UInt16,
`UserAgentMajor` UInt16,
`UserAgentMinor` UInt16,
`WindowClientWidth` UInt16,
`WindowClientHeight` UInt16,
`SilverlightVersion2` UInt8,
`SilverlightVersion4` UInt16,
`FlashVersion3` UInt16,
`FlashVersion4` UInt16,
`ClientTimeZone` Int16,
`OS` UInt8,
`UserAgent` UInt8,
`ResolutionDepth` UInt8,
`FlashMajor` UInt8,
`FlashMinor` UInt8,
`NetMajor` UInt8,
`NetMinor` UInt8,
`MobilePhone` UInt8,
`SilverlightVersion1` UInt8,
`Age` UInt8,
`Sex` UInt8,
`Income` UInt8,
`JavaEnable` UInt8,
`CookieEnable` UInt8,
`JavascriptEnable` UInt8,
`IsMobile` UInt8,
`BrowserLanguage` UInt16,
`BrowserCountry` UInt16,
`Interests` UInt16,
`Robotness` UInt8,
`GeneralInterests` Array(UInt16),
`Params` Array(String),
`Goals` Nested(
ID UInt32,
Serial UInt32,
EventTime DateTime,
Price Int64,
OrderID String,
CurrencyID UInt32),
`WatchIDs` Array(UInt64),
`ParamSumPrice` Int64,
`ParamCurrency` FixedString(3),
`ParamCurrencyID` UInt16,
`ClickLogID` UInt64,
`ClickEventID` Int32,
`ClickGoodEvent` Int32,
`ClickEventTime` DateTime,
`ClickPriorityID` Int32,
`ClickPhraseID` Int32,
`ClickPageID` Int32,
`ClickPlaceID` Int32,
`ClickTypeID` Int32,
`ClickResourceID` Int32,
`ClickCost` UInt32,
`ClickClientIP` UInt32,
`ClickDomainID` UInt32,
`ClickURL` String,
`ClickAttempt` UInt8,
`ClickOrderID` UInt32,
`ClickBannerID` UInt32,
`ClickMarketCategoryID` UInt32,
`ClickMarketPP` UInt32,
`ClickMarketCategoryName` String,
`ClickMarketPPName` String,
`ClickAWAPSCampaignName` String,
`ClickPageName` String,
`ClickTargetType` UInt16,
`ClickTargetPhraseID` UInt64,
`ClickContextType` UInt8,
`ClickSelectType` Int8,
`ClickOptions` String,
`ClickGroupBannerID` Int32,
`OpenstatServiceName` String,
`OpenstatCampaignID` String,
`OpenstatAdID` String,
`OpenstatSourceID` String,
`UTMSource` String,
`UTMMedium` String,
`UTMCampaign` String,
`UTMContent` String,
`UTMTerm` String,
`FromTag` String,
`HasGCLID` UInt8,
`FirstVisit` DateTime,
`PredLastVisit` Date,
`LastVisit` Date,
`TotalVisits` UInt32,
`TraficSource` Nested(
ID Int8,
SearchEngineID UInt16,
AdvEngineID UInt8,
PlaceID UInt16,
SocialSourceNetworkID UInt8,
Domain String,
SearchPhrase String,
SocialSourcePage String),
`Attendance` FixedString(16),
`CLID` UInt32,
`YCLID` UInt64,
`NormalizedRefererHash` UInt64,
`SearchPhraseHash` UInt64,
`RefererDomainHash` UInt64,
`NormalizedStartURLHash` UInt64,
`StartURLDomainHash` UInt64,
`NormalizedEndURLHash` UInt64,
`TopLevelDomain` UInt64,
`URLScheme` UInt64,
`OpenstatServiceNameHash` UInt64,
`OpenstatCampaignIDHash` UInt64,
`OpenstatAdIDHash` UInt64,
`OpenstatSourceIDHash` UInt64,
`UTMSourceHash` UInt64,
`UTMMediumHash` UInt64,
`UTMCampaignHash` UInt64,
`UTMContentHash` UInt64,
`UTMTermHash` UInt64,
`FromHash` UInt64,
`WebVisorEnabled` UInt8,
`WebVisorActivity` UInt32,
`ParsedParams` Nested(
Key1 String,
Key2 String,
Key3 String,
Key4 String,
Key5 String,
ValueDouble Float64),
`Market` Nested(
Type UInt8,
GoalID UInt32,
OrderID String,
OrderPrice Int64,
PP UInt32,
DirectPlaceID UInt32,
DirectOrderID UInt32,
DirectBannerID UInt32,
GoodID String,
GoodName String,
GoodQuantity Int32,
GoodPrice Int64),
`IslandID` FixedString(16)
)
ENGINE = CollapsingMergeTree(Sign)
PARTITION BY toYYYYMM(StartDate)
ORDER BY (CounterID, StartDate, intHash32(UserID), VisitID)
SAMPLE BY intHash32(UserID)
SETTINGS index_granularity = 8192;
ch2 :) use tutorial; USE tutorial Ok. 0 rows in set. Elapsed: 0.002 sec. ch2 :) show tables; SHOW TABLES ┌─name──────┐
│ hits_v1 │
│ visits_v1 │
└───────────┘ 2 rows in set. Elapsed: 0.004 sec.
数据导入
date
clickhouse-client --query "INSERT INTO tutorial.hits_v1 FORMAT TSV" --max_insert_block_size=100000 < hits_v1.tsv
date
FORMAT TSV 导入的数据格式为TSV
max_insert_block_size 一次导入10万条记录
2.5G数据,74秒,平均 34M/S
[root@ch2 data]# date
Fri Jul 31 22:09:16 EDT 2020
TSV" --max_insert_block_size=100000 < hits_v1.tsvT INTO tutorial.hits_v1 FORMAT [root@ch2 data]# date
Fri Jul 31 22:10:28 EDT 2020
[root@ch2 data]#
[root@ch2 data]# ls -ltrh
total 9.8G
-rw-r--r-- 1 root root 7.3G Dec 27 2018 hits_v1.tsv
-rw-r--r-- 1 root root 2.5G Dec 27 2018 visits_v1.tsv
7.3G数据,26秒,285M/S
[root@ch2 data]# date
Fri Jul 31 22:14:04 EDT 2020 [root@ch2 data]# date
Fri Jul 31 22:14:30 EDT 2020
ch2 :) use tutorial; USE tutorial Ok. 0 rows in set. Elapsed: 0.002 sec. ch2 :) show tables; SHOW TABLES ┌─name──────┐
│ hits_v1 │
│ visits_v1 │
└───────────┘ 2 rows in set. Elapsed: 0.003 sec. ch2 :) select count() from hits_v1; SELECT count()
FROM hits_v1 ┌─count()─┐
│ 8873898 │
└─────────┘ 1 rows in set. Elapsed: 0.005 sec. ch2 :) select count() from visits_v1; SELECT count()
FROM visits_v1 ┌─count()─┐
│ 1681989 │
└─────────┘ 1 rows in set. Elapsed: 0.004 sec.
查询
SELECT
StartURL AS URL,
AVG(Duration) AS AvgDuration
FROM tutorial.visits_v1
WHERE StartDate BETWEEN '2014-03-23' AND '2014-03-30'
GROUP BY URL
ORDER BY AvgDuration DESC
LIMIT 10;
SELECT
StartURL AS URL,
AVG(Duration) AS AvgDuration
FROM tutorial.visits_v1
WHERE (StartDate >= '2014-03-23') AND (StartDate <= '2014-03-30')
GROUP BY URL
ORDER BY AvgDuration DESC
LIMIT 10 ┌─URL─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┬────────AvgDuration─┐
│ http://itpalanija-pri-patrivative=0&ads_app_user │ 60127 │
│ http://renaul-myd-ukraine │ 58938 │
│ http://e.mail=on&default?abid=2061&scd=yes&option?r=city_inter.com/menu&site-zaferio.ru/c/m.ensor.net/ru/login=false&orderStage.php?Brandidatamalystyle/20Mar2014%2F007%2F94dc8d2e06e56ed56bbdd │ 51378 │
│ https://moda/vyikrorable.com/notification │ 48828.6 │
│ http://karta/Futbol/dynas.com/haberler.ru/messages.yandsearchives/494503_lte_13800200319 │ 48484.666666666664 │
│ http://karta/Futbol/dynamo.kiev.ua/kawaica.su/648 │ 46272.2 │
│ https://moda/vyikroforum1/top.ru/moscow/delo-product/trend_sms/multitryaset/news/2014/03/201000 │ 41531.666666666664 │
│ http:%2F%2Fallback/angleNews │ 38878.29268292683 │
│ http://xmusic/vstreatings of speeds │ 36925 │
│ http://bashmelnykh-metode.net/video/#!/video/emberkas.ru/detskij-yazi.com/iframe/default.aspx?id=760928&noreask=1&source │ 34323 │
└─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┴────────────────────┘ 10 rows in set. Elapsed: 0.147 sec. Processed 1.48 million rows, 116.66 MB (10.06 million rows/s., 793.94 MB/s.)
SELECT
sum(Sign) AS visits,
sumIf(Sign, has(Goals.ID, 1105530)) AS goal_visits,
(100. * goal_visits) / visits AS goal_percent
FROM tutorial.visits_v1
WHERE (CounterID = 912887) AND (toYYYYMM(StartDate) = 201403) AND (domain(StartURL) = 'yandex.ru') ┌─visits─┬─goal_visits─┬──────goal_percent─┐
│ 10543 │ 8553 │ 81.12491700654462 │
└────────┴─────────────┴───────────────────┘ 1 rows in set. Elapsed: 0.032 sec. Processed 47.60 thousand rows, 5.39 MB (1.49 million rows/s., 169.11 MB/s.)
clickhouse安装数据导入及查询测试的更多相关文章
- Elasticsearch学习笔记——安装、数据导入和查询
到elasticsearch网站下载最新版本的elasticsearch 6.2.1 ? 1 https://www.elastic.co/downloads/elasticsearch 中文文档请参 ...
- Elasticsearch+Mongo亿级别数据导入及查询实践
数据方案: 在Elasticsearch中通过code及time字段查询对应doc的mongo_id字段获得mongodb中的主键_id 通过获得id再进入mongodb进行查询 1,数据情况: ...
- sqoop1的安装以及数据导入导出测试
下载 wget http://mirror.bit.edu.cn/apache/sqoop/1.4.7/sqoop-1.4.7.bin__hadoop-2.6.0.tar.gz 解压 tar -zxf ...
- ClickHouse学习系列之八【数据导入迁移&同步】
背景 在介绍了一些ClickHouse相关的系列文章之后,大致对ClickHouse有了比较多的了解.它是一款非常优秀的OLAP数据库,为了更好的来展示其强大的OLAP能力,本文将介绍一些快速导入大量 ...
- 大数据学习day26----hive01----1hive的简介 2 hive的安装(hive的两种连接方式,后台启动,标准输出,错误输出)3. 数据库的基本操作 4. 建表(内部表和外部表的创建以及应用场景,数据导入,学生、分数sql练习)5.分区表 6加载数据的方式
1. hive的简介(具体见文档) Hive是分析处理结构化数据的工具 本质:将hive sql转化成MapReduce程序或者spark程序 Hive处理的数据一般存储在HDFS上,其分析数据底 ...
- Sqoop安装配置及数据导入导出
前置条件 已经成功安装配置Hadoop和Mysql数据库服务器,如果将数据导入或从Hbase导出,还应该已经成功安装配置Hbase. 下载sqoop和Mysql的JDBC驱动 sqoop-1.2.0- ...
- Linux下mongodb安装及数据导入导出教程
Linux下mongodb安装及数据导入导出教程 #查看linux发行版本 cat /etc/issue #查看linux内核版本号 uname -r 一.Linux下mongodb安装的一般步骤 1 ...
- Database基础(三):SQL数据导入/导出、 操作表记录、查询及匹配条件
一.SQL数据导入/导出 目标: 使用SQL语句完成下列导出.导入操作: 将/etc/passwd文件导入userdb库userlist表并给每条记录加编号 将userdb库userlist表中UID ...
- solr6.1-----mysql 数据导入-查询
此部分一定要细心,lz 中间错了一个细节,调了好长时间(汗).请严格按照步骤操作 新建core 步骤1: 在webapps中solrhome下新建一个文件夹名字叫做collection1(名字不固定, ...
随机推荐
- 【java+selenium3】时间控件 (九)
1.问题描述: 在应用selenium实现web自动化时,经常会遇到处理日期控件点击问题,手工很简单,可以一个个点击日期控件选择需要的日期,但自动化执行过程中,完全复制手工这样的操作就有点难了. 如图 ...
- HTML 简单介绍
1.什么是HTML > HTML是用来描述网页的一种语言 > HTML指的是超文本标记语言(Hyper Text Markup Language) > 标记语言是一套标记标签(mar ...
- topk算法
方法一 堆排序 自建堆 heapMax方法,从上至下调整堆 pop时,可以使用自上而下调整堆,调用heapMax(arr,0,sz-1); push时,需要自下到上调整即 从上到下调整: void h ...
- idea连接数据库时区:Server returns invalid timezone. Go to 'Advanced' tab and set 'serverTimezone' prope
错误界面 IDEA连接mysql,地址,用户名,密码,数据库名,全都配置好了,点测试连接,咔!不成功! 界面是这样的, 翻译过来就是:服务器返回无效时区.进入"高级"选项卡,手动设 ...
- 事件消息生产消费中间件-OSS.DataFlow
系统重构解耦的过程涉及不同领域服务分拆,或同一服务下实时响应部分和非响应部分分拆,分解后的各部分通过异步消息的流转传递,完成整体的业务逻辑,但是频繁的在业务层面直接调用不同消息队列的SDK,个人感觉不 ...
- Python MySSH 实现剧本执行器
通过封装Paramiko这个SSH模块,我们可以实现远程批量管理Linux主机,在上一篇文章中我们封装过一个MySSH类,这个类可以执行命令上传下载文件等,我们在这个类的基础上,实现一个简单的任务执行 ...
- RabbitMQ 处理过慢,原来是一个 SQL 缓存框架导致的 GC 频繁触发
一:背景 1. 讲故事 上个月底,有位朋友微信找到我,说他的程序 多线程处理 RabbitMQ 时过慢,帮忙分析下什么原因,截图如下: 这问题抛出来,有点懵逼,没说CPU爆高,也没说内存泄漏,也没说程 ...
- IDEA 运行maven工程报错:No goals have been specified for this build.....解决办法
出现这种错误可以在pom.xml里配置, 找到<build>标签在下面<plugins>标签上面加上<defaultGoal>compile</default ...
- Python多版本共存的方法
目录 Python2.Python3共存的方法 python2下载及环境变量配置 第一步.打开Python官网,下载Python2 第二步.python2环境变量配置 测试结果 Python2.Pyt ...
- @Inject注解
在看eureka的源码看到了这个注解,百度一下说这个和autowored差不多, import javax.inject.Inject;import javax.inject.Singleton; @ ...