## HBase Read Path h openi nx@apache.org ## Abstract ☐ A i ent Si de ☐ Server Si de Tuni ng ## Part-1 Client Si de ## A i ent Scanner  and shorter STWtime. ## End-to-end off heap on the read-path (HBASE-114)  branch-1 at ed i sue BASE-21206 • Bl ockSi ze ? ## Part - 3 Tuni ng ## Tuni ng • Read Di st ri but i on • Locality • Short Circuit Read • CacheHitRatio • St or eFi I eCount • ReadRawCells / ResponseCells

### 1. Background For reducing the Java GC impact to p99/p999 RPC latency, HBase 2.x has made an off-heap read and write path. The KV are allocated from the JVM off-heap, and the memory area in off-heap collected by JVM, so upstreams need to deallocate the memory explicitly by themselves. On the write path, the request packet received from client will be allocated off-heap and retained until those key values to manage the off-heap memory. Similarly, on the read path, we'll try to read the BucketCache firstly, if the Cache misses, go to the HFile and read the corresponding block. The workflow: reading block

# The Path to GitOps  Christian Hernandez Foreword by Chris Short, Co-chair, OpenGitOps/GitOps Working Group 05 Foreword really excited to see those practices summarized for the masses here in The Path to GitOps. Toward the end of writing The Path to GitOps, Christian decided to pursue a new role outside of Red Hat. While configuration files are machine-readable in a structured format (usually YAML) so that software tools can read them to automate changes. They are also human-readable so that administrators can maintain them easily

## HBase Practice At Xiaomi huzheng@xiaomi.com ## About This Talk • Async HBase Client ☐ WhyAsync HBase Client ○ Implementation ☐ Performance • How do we tuning G1GC for HBase ☐ CMS vs G1 o Tuning Tuning G1GC G1GC in XiaoMi HBase Cluster ## Part-1Async HBase Client ## WhyAsync HBase Client? Blocking Client (Single Thread) ![Image](/uploads/documents/4/4/8/2/4482a28355610ca65c1d5f9c0c49bd2b/p4_2 using blocking client ## WhyAsync HBase Client? • Region Server / Master STW GC • Slow RPC to HDFS • Region Server Crash • High Load • Network Failure BTW: HBase may also suffer from fault amplification

## HBase Practice At Xi ao tianj.y1990@mail.com openi nx@apache.org ## Part-1 Problems In Practice ## Probl en s in Xi aoM ☐ Problem 1. How to satisfy the regular demand of scanning table with affecting analysis need to scan a large number of data from hbase ☐ They are executed by map reduce or spark, that put a heavy burden ## Scan snapshot directly ☐ HBase already provides this table's snapshot Input (C i ent Si deRegi onScanner) ☐ Construct regions by snapshot files ☐ Read data without any HBase RPC requests ☐ Required READ access to reference files and HFiles ## Snapshot ACL ☐ HDFS ACL could grant

## HBase基本介绍 田志鹏 20190714 今天讲的内容比较基础, 而且偏理论, 因为我个人也没有太多实际使用经验, 纸上谈兵. 上次分位点估算当时没解决的两个问题已更新ppt. ## APACHE HBASE Apache HBase $ ^{™} $ is the Hadoop database, a distributed, scalable, big data store store. Use Apache HBase $ ^{™} $ when you need random, realtime read/write access to your Big Data. This project's goal is the hosting of very large tables -- billions of rows X millions of columns -- clusters of commodity hardware. Apache HBase is an open-source, distributed, versioned, non-relational database modeled after Google's Bigtable ... 先来一段HBase官网的自我介绍. blabla翻译一下 重点看其中的红字, 什么hadoop数据库

## cloudera ## HBase最佳实践及优化 陈飚 cb@cloudera.com Cloudera ## 关于我 陈飚 Cloudera售前技术经理、资深方案架构师 http://biaobean.pro  原Intel 年后开始Hadoop 产品开发及方案顾问，先后负责Hadoop 产品化、HBase 性能调优，以及行业解决方案顾问 ## HBase的历史 HBase是Google BigTable的开源实现 • BigTable利用GFS作为其文件存储系统 • HBase使用HDFS作为其文件存储系统 2007年2月建立了HBase的原型版本 2006年 Google发表了BigTable论文 2006年底由PowerSet的Chad 2006年底由PowerSet的Chad Walters和Jim Kellerman发起了HBase项目，依据BigTable的论文重构关系数据库 2007年10月建立了第一个可用的HBase版本 2008年成为Apache Hadoop的一个子项目 ## HBase的模型特性 Hadoop database and NoSQL database • 基本的数据库操作CRUD • 强一致性

## Cache-friendly Design in Robot Path Planning ## BRIAN CAIRI 2023 | October ## About Me - This is my first time at CppCon! • Regularly program in C++ for robotics  ## Robot path planning ## Robot path planning Path planning ## Path planning ## How an (autonomous) agent figures out how to get from one level goals of this talk ## • Implement cache-friendly path planning code in C++ ## High level goals of this talk ## • Implement cache-friendly path planning code in C++ • Do so using the STL ## High level

## Finding Bugs using Path-Sensitive Static Analysis ## Welcome to CppCon 2021! Join #visual_studio channel on CppCon Discord https://aka.ms/cppcon/discord • Meet the Microsoft C++ team • Ask any questions latest announcements Take our survey https://aka.ms/cppcon ## Agenda • Intro to path-sensitive static analysis • Path-sensitive checks in MSVC • A look under the hood • Upcoming features • Lessons int var = 0;  void path_sensitive(int *p, bool cond) { int var = 0; // branch 1 if (p != nullptr) { var

## TiDB: HBase分布式事务与SQL实现 ## About me • TiDB & Codis founder • Golang expert • Distributed database developer • Currently, CEO and co-founder of PingCAP liuqi@pingcap.com https://github.com/pingcap/tidb com/pingcap/tidb weibo: @goroutine ## Agenda • HBase introduction • TiDB features • Google percolator and omid • Internals of TiDB over HBase ## Features of HBase • Linear and modular scalability. - Strictly server side Filters MVCC ## What did they say? “Nothing is hotter than SQL-on-Hadoop, and now SQL-on-HBase is fast approaching equal hotness status” Form HBaseCon 2015 We want more! SQL + Transaction(ACID)