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, 分布式的, 可伸缩的, 随机实时读写 十亿级行, 百万级列 每次看一个项目介绍完自己, 还是不知道他是干嘛的, 希望今天我介绍完, 大家能知道他是干嘛的 ## APACHE HBASE A Bigtable is a sparse(稀疏) 防止出现热点 - 倒序时间戳 Long.Max - timestamp ## 参考 官方文档 • MapR HBase architecture • HFile结构解析 • Google BigTable/SSTable ## Q & A Thanks

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 Walters和Jim Kellerman发起了HBase项目，依据BigTable的论文重构关系数据库

short) to allocate a monotonically increasing sequence of transaction timestamps. Data is stored in Bigtable, a horizontally scalable key-value store, which offers atomic read-modify-write on individual records which use the timestamp oracle and Bigtable to provide a snapshot isolated multi-dimensional key-value store. Rows in Percolator are stored as a sequence of distinct Bigtable records: one for each version A transaction begins by acquiring a start timestamp from the TSO. It then acquires a lock (via Bigtable compare-and-set) on each row to be written, checking to make sure that no other transaction has

that are relevant to the interface. def fetch_bigtable_rows(big_table, keys, other_silly_variable=None): """Fetches rows from a Bigtable. Retrieves rows pertaining to the given keys from big_table. Silly things may happen if other_silly_variable is not None. Args: big_table: An open Bigtable Table instance. keys: A sequence of strings representing the key of each table row to fetch. dictionary, then that row was not found in the table. Raises: IOError: An error occurred accessing the bigtable.Table object. "'" pass ## Classes Classes should have a doc string below the class

layer over HBase ## Google percolator ## • Design BigTable ☐ Transactions ☐ Timestamps ## Percolator ## • Three components ☐ Percolator worker BigTable tablet server ☐ GFS chunkserver ## Percolator

Cassandra的基本原理介绍 2. 为什么选择Cassandra 3. 饿了么Cassandra实践 4. 大数据离线平台和Cassandra的整合 ## e·饿了么 ## Cassandra历史 BigTable Dynamo Google™ amazon.com $ ^{®} $ ## facebook $ ^{®} $  Cassandra ### e.饿了么 ## Cassandra概述 Cassandra最初源自Facebook，集合了Google BigTable面向列的特性和Amazon Dynamo分布式哈希(DHT)的P2P特性于一身，具有很高的性能、可扩展性、容错、部署简单等特点。 ## e·饿了么 ## Cassandra架构关键字 1.

Redshift Timestream Azure CosmosDB Databricks Google AlloyDB for PostgreSQL BigQuery Bigtable Cloud SQL for MySQL Cloud SQL for PostgreSQL Cloud SQL for SQL Server Spanner Snowflake Graph databases  BigTable  Cache ![Im create separate most databases except these: SQLServer Azure AD MFA Big Query BigTable Spanner Apache Hadoop, Apache Drill, Apache Kyuubi, Apache Phoenix Redshift ● Snowflake Table

AWS DocumentDB DynamoDB Keyspaces Azure CosmosDB Google AlloyDB for PostgreSQL BigQuery Bigtable Cloud SQL for MySQL Cloud SQL for PostgreSQL Cloud SQL for SQL Server Snowflake Customizing Neptune| |Google Cloud Platform|Microsoft SQL Server| ||PostgreSQL| ||MySQL| ||Spanner| ||BigQuery| ||BigTable| |Microsoft Azure|Microsoft SQL Server| ||PostgreSQL| ||MySQL| ||CosmosDB| ## Cloud configuration configuration Azure configuration GCP configuration ✓ DBeaverGCP (dbeavergcp) > SQL > Spanner Bigtable Bigquery You can drag-and-drop connections from the explorer to the navigator Add to project

Keyspaces Redshift Timestream Azure CosmosDB Databricks Google AlloyDB for PostgreSQL BigQuery Bigtable Cloud SQL for MySQL Cloud SQL for PostgreSQL Cloud SQL for SQL Server Spanner Snowflake ## SQL Editor and/or metadata read for most databases except these: SQLServer Azure AD MFA BigQuery BigTable Spanner Apache Hadoop, Apache Drill, Apache Kyuubi, Apache Spark, Apache Hive, SnappyData, Gemfire Neptune| |Google Cloud Platform|Microsoft SQL Server| ||PostgreSQL| ||MySQL| ||Spanner| ||BigQuery| ||Bigtable| |Microsoft Azure|Microsoft SQL Server| ||PostgreSQL| ||MySQL| ||CosmosDB (MongoDB)| ||CosmosDB

Keyspaces Redshift Timestream Azure CosmosDB Databricks Google AlloyDB for PostgreSQL BigQuery Bigtable Cloud SQL for MySQL Cloud SQL for PostgreSQL Cloud SQL for SQL Server Firestore Spanner Snowflake Editor and/or metadata read for most databases except these: SQLServer Azure Entra ID MFA BigQuery BigTable Spanner Apache Hadoop, Apache Drill, Apache Kyuubi, Apache Spark, Apache Hive, SnappyData, Gemfire PostgreSQL| ||Microsoft SQL Server| ||PostgreSQL| ||MySQL| ||Spanner| ||Firestore| ||BigQuery| ||Bigtable| |Microsoft Azure|Microsoft SQL Server| ||PostgreSQL| ||MySQL| ||CosmosDB (MongoDB)| |---|---| ||CosmosDB