Examples - clickhouse-operator docs ClickHouse operator – начало • Хочу во всем разобраться Get files from github repo: git clone https://github.com/Altinity/clickhouse-operator Install the operator: Single-node “cluster” apiVersion: "clickhouse.altinity.com/v1" kind: "ClickHouseInstallation" metadata: name: "demo-01" spec: configuration: clusters: - name: "demo" Здесь нет storage Еще 1 37s Sharding apiVersion: "clickhouse.altinity.com/v1" kind: "ClickHouseInstallation" metadata: name: "demo-01" spec: configuration: clusters: - name: "demo" layout:

Seccomp, AppArmor, Capabilities, Cgroup 3. Intrusion Detection - Monitor suspicious read/write to host files. For example, containerd-shim/busybox/docker-runc ， /usr/bin/docker-runc /bin/bash /bad_init /proc/self/fd/ create container start agent cat << EOT | tee nginx-untrusted.yaml apiVersion: v1 kind: Pod metadata: name: nginx-untrusted annotations: io.kubernetes.cri.untrusted-workload: "true" spec:

default to PERMISSIVE if no set apiVersion: "security.istio.io/v1beta1“ kind: "PeerAuthentication“ metadata: name: "demo-peer-policy“ namespace: "default“ spec: selector: matchLabels: app: to TLS with service outside mesh apiVersion: networking.istio.io/v1alpha3 kind: DestinationRule metadata: name: reviews spec: host: reviews trafficPolicy: tls: mode: ISTIO_MUTUAL 1) Generate TLS traffic purely using SNI without VS apiVersion: networking.istio.io/v1alpha3 kind: Gateway metadata: name: bookinfo-gateway spec: selector: istio: ingressgateway # use istio default controller

https://crates.io/crates/zstd • Async Hashmap：https://crates.io/crates/dashmap Arrow • Schema with metadata • RecordBatch • IPC Stream Tonic + Arrow Flight • 以流为中心的 RPC 框架 Tokio - Future and .abort()

I/O 越少，一般是内存的一半，不超过 2G ， 否则系统会崩溃，这个参数非常重要 innodb_additional_mem _pool_size 2M 512M InnoDB 用来保存 metadata 信息 , 如果内存是 16G ，最好本值超 1024M innodb_flush_log_at_trx _commit 1 0 0 代表日志只大约每秒写入日志文件并且日志文件 刷新到磁盘

h>|lib*|share)/*/cmake/ • 其中 是变量 ${CMAKE_PREFIX_PATH} ， Windows 平台默认为 C:/Program Files 。 • 是你在 find_package( REQUIRED) 命令中指定的包名。 • 是系统的架构名。 https://zhuanlan.zhihu 会依次搜索： • C:/Program Files/Qt5Config.cmake • C:/Program Files/cmake/Qt5Config.cmake • C:/Program Files/Qt5/Qt5Config.cmake • C:/Program Files/Qt5/cmake/Qt5Config.cmake • C:/Program Files/Qt5/lib/cmake/Qt5/Qt5Config C:/Program Files/Qt5/lib/x86_64-windows-gnu/cmake/Qt5/Qt5Config.cmake • C:/Program Files/Qt5/share/cmake/Qt5/Qt5Config.cmake • C:/Program Files/Qt5/lib/Qt5/Qt5Config.cmake • C:/Program Files/Qt5/lib/

Visual Studio Build Debug Edit Developer inner-loop Developer inner-loop Build Debug Edit Find in Files 1.8x faster 1 2 0 5 10 15 20 25 30 35 40 45 50 47 27 Series1 Open C++ File 2.4x faster 1 2 0 0.5 ms/18xfaster Performance of Visual Studio Developer inner-loop Build Debug Edit Find in Files 1.8x faster Open C++ File 2.4x faster IntelliSense Ready* 1.9x faster *) Colorization + Member Performance of Visual Studio At CppCon last year Developer inner-loop Build Debug Edit Find in Files 1.8x faster Open C++ File 2.4x faster IntelliSense Ready* 1.9x faster *) Colorization + Member

Advantages  Replace header files  Modules explicitly state what should be exported (e.g. classes, functions, …)  Separation into module interface files and module implementation files is possible but not Improves build throughput; will be processed only once  Comparable to precompiled header files (PCH)  Custom headers can also be made importable, but how to is compiler dependent “How C++20

中添加一个可执行文件作为构建目标 另一种方式：先创建目标，稍后再添加源文件 如果有多个源文件呢？ 逐个添加即可 使用变量来存储 建议把头文件也加上，这样在 VS 里可以出现在“ Header Files” 一栏 使用 GLOB 自动查找当前目录下指定扩展名的文件，实现批量添加源文件 启用 CONFIGURE_DEPENDS 选项，当添加新文件时，自动更新变量 如果源码放在子文件夹里怎么办？ Python 的 os.path.join(x, ‘bin’) 一样的效果。 毕竟大多数操作系统都是 Unix-like 嘛……就 Windows 喜欢搞特殊 。 cd /d C:\\Program\ Files\ \(x86\)\\Microsoft\ Visual\ Studio\\2019\\ 怎么路径里动不动夹杂几个转移符、空格、特殊符号？这谁顶得住啊 。 高情商： Windows 是最适合练习你 没加引号会怎样？会把列表里的字符串当成他的关键字 结论：除非确实需要列表，建议始终在你不确定的地方加上引号，例如： set(sources “main.cpp” “mylib.cpp” “C:/Program Files/a.cpp”) message(“${sources}”) 第 7 章：变量与缓存 重复执行 cmake -B build 会有什么区别？ 可以看到第二次的输出少了很多，这是因为 CMake

© 2018 Percona. 7 Clickhouse Answers • 10x+ times space reduction compared to Raw Text Log Files High Compression (column store + LZ4) • Typically 100x faster than MySQL on Single Server