The operations in this package are safe to use with eager execution turned on or off. It has a more flexible API that allows summaries to be written directly from ops to places other than event log files, rather than propagating protos from tf.summary.merge_all to tf.summary.FileWriter.
Programmers working on a large project have just received a task to write exactly m lines of code. There are n programmers working on a project, the i-th of them makes exactly a i bugs in every line of code that he writes.
文章介绍了Sentinl的自适应缓存时间戳算法,从原理到实现都手把手解读了,而且还发现Sentinel-Go还未实现这个自适应算法,于是我就觉得,这简单啊,把Java代码翻译成Go不就可以混个PR?
shared_ptr objects offer the same level of thread safety as built-in types
flink-streaming-java_2.11-1.7.0-sources.jar!/org/apache/flink/streaming/api/datastream/DataStream.java
ch/qos/logback/classic/model/LoggerModel.java
1) Copies at most count characters of the character array pointed to by src (including the terminating null character, but not any of the characters that follow the null character) to character array pointed to by dest.
MySQL的InnoDB存储引擎提供了一系列的参数配置,以便数据库管理员可以根据具体的应用场景和硬件环境来优化数据库的性能。在本文中,我们将通过SHOW STATUS LIKE 'InnoDB%'命令输出的参数,深入解析这些参数的含义和配置方法,以帮助理解如何配置MySQL InnoDB参数。
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问题描述: 最近在写一个通信相关的项目,服务器端和客户端通过socket进行通信。本来想利用read的阻塞特性,服务器端和客户端按照一定的流程进行文件读写。结果发现客户端或者服务器read方法一直都返回乱码。而且读到的一端可能是客户端,可能是服务器端,固定的读到前面有四个字节的乱码,后续读到的字节码都是正常的。 原因分析: 开始以为是流没有正常关闭。修改了代码确保正确关闭之后,发现即使重新启动服务器和客户端,还是会固定读到四个字节乱码。后面查资料分析才找出真正的原因:由于我实现的socket通信既有字符串通
环境:Windows10 + GoLand 2019.3.4 x64 + Golang 现象: 在使用fmt包,调用fmt.Fprintln(…)写文件时,如果不接受函数的返回值,编辑器会提示Unhandled error错误 而对于fmt.Println(…) 则不会提示
最近几次测试 APP 时,遇到过几次非 http/https 通信的情况,burp、fiddler 等 http 代理工具都无法正常抓到包,经过分析发现 app 是通过 socket 通信的,所以写出来记录下。
工程师想安安静静的搬会儿砖?不可能的,总有这样那样的分心事儿。最近又冒出来一个梗,叫做10倍工程师(10x engineer)。查询了一下,发现这个梗来自印度班加罗尔一个叫做Shekhar Kirani的投资人。
该文章介绍了CPU缓存以及多线程程序中CPU缓存一致性的问题,并给出了具体的例子和解决方案。文章指出,多线程程序中的CPU缓存不一致问题可能会导致性能下降,因此需要谨慎处理。通过使用原子操作、锁操作等技术,可以避免CPU缓存不一致问题,从而提高程序的性能。
之前博文有专门介绍过基于Log4j Appender 实现大数据平台组件日志的采集, 本篇主要对java项目中经常会接触到的logback.xml文件的配置做一个介绍和总结.
翻译自:http://www.ibm.com/developerworks/library/j-jtp03304/(原文写于2004年3月,经典永不过时)
MongoDB 在4.0的时候已经开始支持了多文档的 ACID 和隔离,看上去好像对比传统数据库并没有什么值得称颂,但实际上着对于NOSQL的MONGODB是非常有意义的。
我们将和路由相关的方法和结构提取了出来,放到了一个新的文件中router.go,方便我们下一次对 router 的功能进行增强,例如提供动态路由的支持。 router 的 handle 方法作了一个细微的调整,即 handler 的参数,变成了 Context。
gin是一个开源的,用golang开发的web框架,https://github.com/gin-gonic/gin 地址如下。它有如下特性:
The CUDA programming model assumes a device with a weakly-ordered memory model, that is the order in which a CUDA thread writes data to shared memory, global memory, page-locked host memory, or the memory of a peer device is not necessarily the order in which the data is observed being written by another CUDA or host thread.
The leveldb library provides a persistent key value store. Keys and values are arbitrary byte arrays. The keys are ordered within the key value store according to a user-specified comparator function.
BufferSync函数写入每个页面之后,都会调用CheckpointWriteDelay来控制BufferSync的写入频率,我们知道PG提供参数checkpoint_completion_target控制chk的刷盘速度,具体是如何实现的?
Now let's try using your protocol buffer classes. The first thing you want your address book application to be able to do is write personal details to your address book file. To do this, you need to create and populate instances of your protocol buffer classes and then write them to an output stream.
Rclone是一个开源的命令行程序,用于管理云存储上的文件。它是云供应商Web存储界面的功能丰富的替代方案。超过50种云存储产品支持Rclone,包括S3对象存储,Google Drive,OneDrive等业务和消费者文件存储服务以及标准传输协议。
在goroutine并发执行的时候,需要在函数和函数之间进行通信。Go语言并发模式CSP(communicating Sequents Processes),通过通信共享内存。
http://comments.gmane.org/gmane.comp.video.ffmpeg.libav.user/10325
DT is a big fan of digital products. He writes posts about technological products almost everyday in his blog. But there is such few comments of his posts that he feels depressed all the day. As his best friend and an excellent programmer, DT asked you to help make his blog look more popular. He is so warm that you have no idea how to refuse. But you are unwilling to read all of his boring posts word by word. So you decided to write a script to comment below his posts automatically. After observation, you found words “Apple” appear everywhere in his posts. After your counting, you concluded that “Apple”, “iPhone”, “iPod”, “iPad” are the most high-frequency words in his blog. Once one of these words were read by your smart script, it will make a comment “MAI MAI MAI!”, and go on reading the post. In order to make it more funny, you, as a fan of Sony, also want to make some comments about Sony. So you want to add a new rule to the script: make a comment “SONY DAFA IS GOOD!” when “Sony” appears.
Zygote is a special Android OS process that enables shared code across Dalvik/Art VM in contrast with Java VM where each instance has its own copy of core library class files and heap objects.
默认关机逻辑貌似是:nut服务会在UPS发送LOWBATT时通知机器关机,触发时机默认为ups电量剩余20%。
LNK2001 无法解析的外部符号 __except_handler4_common msvcrt.lib
说明:需要将 Oracle 数据库 OCR DATA ARCH 等所有老存储磁盘替换为新存储磁盘,
开篇前来一首歌放松一下,推荐简弘亦的新歌:忽如一面,妥妥的歌唱实力派,可是不知道为啥感觉一直不温不火,我是听了他的不染喜欢上的,好了,进入正题。
critical section是每个线程中访问临界资源的那段代码,不论是硬件临界资源,还是软件临界资源,多个线程必须互斥地对它进行访问。 资源竞速就是可能在由于在访问临界区时没有互斥的访问而导致的特殊情况。
所谓的持久化就是保持我们的数据不丢失,将数据通常保存在我们的硬盘中。在Redis中持久化的方式有两种,一种是快照持久化,一种是AOF持久化,各有各的优缺点,在项目中我们得根据实际的情况来选择具体的持久化方式。本文主要介绍快照持久化,下篇文章介绍AOF持久化。
通过 stop-writes-on-bgsave-error 值设置为 no 即可避免这种问题。
通过stop-writes-on-bgsave-error值设置为no即可避免这种问题。
1、全局内存缓冲区 1)key_buffer_size 该变量是只存储MyISAM索引信息的全局内存缓冲区。在对应的.MYI文件中的索引数据从磁盘上被读取出来然后存入这个缓冲区。想要调整key_buffer_size的大小,只需要简单统计所有MyISAM表中总索引的大小,然后随着数据随时间增长而调整。 当这个索引码缓冲区中没有足够的空间来存储新的索引数据时,将会用最近最少使用的的方法覆盖掉旧的页面。 2)innodb_buffer_pool_size innodb_buffer_pool_size是用来存储所有InnoDB数据和索引的全局内存缓冲区。对完全使用InnoDB的数据库来说,这是个很重要的缓冲区,一定要正确分配,不正确的分配这个缓冲区可能导致额外的磁盘IO开销并降低查询性能。 常见的方法是把innodb_buffer_pool_size设定为RAM的80%,但是很多情况下这样设定不合理,如RAM大小50G,而数据库总量只有2G。 可以使用SHOW GLOBAL STATUS或者SHOW ENGINE INNODB STATUS命令来监控InnoDB缓冲池的使用情况。 MySQL> SHOW GLOBAL STATUS LIKE 'innodb_buffer%'; +---------------------------------------+--------------------------------------------------+ | Variable_name | Value | +---------------------------------------+--------------------------------------------------+ | Innodb_buffer_pool_dump_status | Dumping of buffer pool not started | | Innodb_buffer_pool_load_status | Buffer pool(s) load completed at 180330 16:27:30 | | Innodb_buffer_pool_resize_status | | | Innodb_buffer_pool_pages_data | 51679 | | Innodb_buffer_pool_bytes_data | 846708736 | | Innodb_buffer_pool_pages_dirty | 0 | | Innodb_buffer_pool_bytes_dirty | 0 | | Innodb_buffer_pool_pages_flushed | 116888 | | Innodb_buffer_pool_pages_free | 1024 | | Innodb_buffer_pool_pages_misc | 4641 | | Innodb_buffer_pool_pages_total | 57344 | | Innodb_buffer_pool_read_ahead_rnd | 0 | | Innodb_buffer_pool_read_ahead | 0 | | Innodb_
重启服务器在连接redis数据库时报错:org.springframework.data.redis.RedisSystemException: Error in execution; nested exception is io.lettuce.core.RedisCommandExecutionException: MISCONF Redis is configured to save RDB snapshots, but it is currently not able to persist on disk. Commands that may modify the data set are disabled, because this instance is configured to report errors during writes if RDB snapshotting fails (stop-writes-on-bgsave-error option). Please check the Redis logs for details about the RDB error.
--WL 09-07-03 /*Microsoft SQL Server 2005 提供了一些工具来监控数据库。方法之一是动态管理视图。动态管理视图 (DMV) 和动态管理函数 (DMF) 返回的服务器状态信息可用于监控服务器实例的运行状况、诊断问题和优化性能。 常规服务器动态管理对象包括: dm_db_*:数据库和数据库对象 dm_exec_*:执行用户代码和关联的连接 dm_os_*:内存、锁定和时间安排 dm_tran_*:事务和隔离 dm_io_*:网络和磁盘的输入/输出 此部分介绍为
原因:org_code这个字段上存在索引,RC事务级别会产生间隙锁把相邻的位置锁住,多条消息过来多线程消费导致锁相互持有最终导致死锁
PostForm returns the specified key from a POST urlencoded form or multipart form when it exists, otherwise it returns an empty string `("")`.
前几天看见正点原子发布了LittlevGL的教程,这个GUI貌似又火了,于是应读者要求,我也来移植一下,将正点原子的这个GUI移植到小熊派上,不到一会功夫就搞定了,总的来说挺简单,没遇到什么特别的障碍,因为正点原子把坑都帮我们绕过了,直接改下一些基本配置就可以成功显示,但是从头开始移植一个可不简单噢,要详细看官方文档和说明。
This parallel program performs writes and reads to/from files under several sets of conditions and reports the resulting throughput rates.
3.2.11.3. CUDA Arrays CUDA arrays are opaque memory layouts optimized for texture fetching. They are one dimensional, two dimensional, or three-dimensional and composed of elements, each of which has 1, 2 or 4 components that may be signed or unsigned 8-
Surface functions are only supported by devices of compute capability 2.0 and higher.
RocksDB有一个广泛使用的功能就是当flush或compact速度小于外部数据写入速度的时候可以阻写。如果没有这个功能的话,那么当用户持续写入的数据超过磁盘所能处理的数据时,数据库就会出现以下情况:
import org.apache.beam.sdk.util.BackOff; //导入依赖的package包/类
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