Standard Library Modules  std::flat_(multi)map / std::flat_(multi)set  std::mdspan  std::generator  basic_string(_view)::contains()  Construct string(_view) From nullptr  basic_string::resize_and_overwrite() Standard Library Modules  std::flat_(multi)map / std::flat_(multi)set  std::mdspan  std::generator  basic_string(_view)::contains()  Construct string(_view) From nullptr  basic_string::resize_and_overwrite() Standard Library Modules  std::flat_(multi)map / std::flat_(multi)set  std::mdspan  std::generator  basic_string(_view)::contains()  Construct string(_view) From nullptr  basic_string::resize_and_overwrite()

pending_completion_.exchange(this); assert(previous == nullptr); } };90 …OR USE A HELPER TO CREATE THE SENDER // State for a single key click: template Rec> struct keyclick_state ch); } keyclick_state(keyclick_state &&) = delete; }; auto read_keyclick() { return unifex::create_simple( [](unifex::receiver_of auto& r) { return keyclick_state{r}; }); 104 [[nodiscard]] auto event() const; }; auto ctrl_c_handler::event() const { return unifex::create_simple<>( [](R& rec) { struct state : pending { R& rec_;

effect on, and never leak from, modules  Order of module imports is not important8 Modules  Create a module: // cppcon.cppm – Module Interface File export module cppcon; // Module declaration namespace experimental helper classes, for example:  std::experimental::generator18 Coroutines  Example (VC++): experimental::generator GetSequenceGenerator( int startValue, size_t numberOfValues) string literals as non-type template parameters  The CTRE library: compile-time string literals to create regular expression parsers at compile time instead of at run time auto m { ctre::match<"[a-z]+([0-9]+)">(str)

Model (COM) – 1993 Foreign function interface (libffi) – 1996 Simplified Wrapper and Interface Generator (SWIG) – 1996 JVM – Java Native Interface (JNI) – 1997 .NET – Platform Invoke (P/Invoke), COM interop reference counting. This typically means allocation locations are static. // 0x5200, ref 1 obj = create(); obj // 0x5200, ref 3 obj->add_ref(); // 0x5200, ref 2 [obj AddRef]; // 0x5200, ref 2 [obj

make 、 MSBuild ）称为本地构建系统（ native buildsystem ）。 • 负责从 CMakeLists.txt 生成本地构建系统构建规则文件的，称为生成器（ generator ）。 -G 选项：指定要用的生成器 • Linux 系统上的 CMake 默认用是 Unix Makefiles 生成器； Windows 系统默认是 Visual Studio 2019 ，将会添加运行时信息到可执行程序当中。这样从构建树中运行程序将很容易。为了在安装过程中忽略 掉 RPATH ，使用 CMAKE_SKIP_INSTALL_RPATH 。 • CMAKE_GENERATOR: 构建工程的产生器。它将产生构建文件 (e.g. "Unix Makefiles", "Visual Studio 2019", etc.) 一个标准的 CMakeLists.txt 模板 Linux, Android, MacOS, iOS ）都为真 使用生成器表达式，简化成一条指令 https://cmake.org/cmake/help/latest/manual/cmake-generator-expressions.7.html#genex:PLATFORM_ID 语法： $<$< 类型 : 值 >: 为真时的表达式 > 比如 $<$:MY_NAME=”Bill

https://zhuanlan.zhihu.com/p/350136757 未来： C++20 允许函数参数为自动推断（ auto ） 未来： C++20 引入协程（ coroutine ）和生成器（ generator ） 未来： C++20 标准库加入 format 支持 跑远了！ • 鉴于 C++20 还没有普遍落地（例如 CMake 不支持 C++20 modules ）因此我们的课程 基于 C++17

// 10min + 30sec = 10.5min or 630sec14 Durations – Operations  Converting durations // Create a duration of 30 seconds. duration d7 { 30 }; // Convert the seconds of d7 to minutes. durationCreate a time_point representing the epoch of the // associated steady clock. time_point tp1; };31 Dates  Create a date 2021-10-27: year_month_day fulldate1 { 2021y, October, 27d }; auto fulldate2 { 2021y / October / 27d }; auto fulldate3 { 27d / October / 2021y };  Create a date for the

trigger ○ Number trigger ● Magical Flag PTS Magical Flag Quiz PTS Magical Flag Create PTS Magical Flag Create id name flag 2 Bob1 0 id name flag 2 Bob1 1 PTS Magical Flag Read PTS Magical for a table ● Sync multiple data source to Clickhouse in minutes BONUS Time travel history state Create Update Update Delete insert_id id name flag update_time UUID0 2 Bob1 2 2019-10-01 00:00:00 UUID1 Bob2 2 2019-10-02 00:00:00 UUID3 2 Bob2 3 2019-10-03 00:00:00 BONUS Time travel history state Create Update Update Delete Future ● Auto configure through web ● Auto deploy on Kubernetes ● Open source

Обработка графов • Batch jobs • Data Hub Support For Semistructured Data 27 JSO data type: CREATE TABLE games (data JSON) ENGINE = MergeTree; • You can insert arbitrary nested JSONs • Types are Example: NBA games dataset CREATE TABLE games (data String) ENGINE = MergeTree ORDER BY tuple(); SELECT JSONExtractString(data, 'teams', 1, 'name') FROM games; — 0.520 sec. CREATE TABLE games (data JSON)

name: "demo" Здесь нет storage Еще вернемся к этому kubectl – наше всё 1. NAMESPACE $ kubectl create namespace demo namespace/demo created 2. EXAMPLE $ kubectl apply -f docs/examples/demo-01.yaml -n ZK cluster Install Zookeeper: manifests/zookeeper/quick-start-persistent-volume/zookeeper-1-node-create.sh Replication apiVersion: "clickhouse.altinity.com/v1" kind: "ClickHouseInstallation" metadata: