194 196 198 198 198 200 201 201 202 202 202 203 203 203 203 203 204 205 206 访问 Hive 访问 HBase 使⽤ 使⽤ pg_dump 迁移数据 迁移数据 安装 greenplum-db-clients 使⽤ pg_dump 导出数据 使⽤ psql 重建数据 利⽤ 利⽤ hdfs pxf 可读表 4. 从 hdfs 外部表中读取数据并写⼊⽬的 greenplum 集群 FAQs 创建好数据仓库之后怎么连接到UDW？ UDW⽀持从mysql导⼊数据吗？ HDFS/Hive与UDW之间可以导⼊导出数据吗？ UDW中怎么kill掉正在执⾏的SQL语句？ 如何通过外⽹访问UDW？ 节点扩容时数量有没有什么限制？ 数据仓库价格 数据仓库价格 ⽬录 Greenplum数据仓库 w 从 从hdfs加载数据 加载数据 为了⽅便udw和hdfs之间的数据导⼊和导出，我们提供个两种⽅案： 1. ⽤sqoop实现hdfs和udw直接的数据导⼊导出，使⽤⽅法请参考：hdfs和hive中数据导⼊导出到udw 2. 创建hdfs外部表，使⽤⽅法请参考：创建hdfs外部表 从 从mysql中导⼊数据 中导⼊数据 为了⽅便mysql数据导⼊到udw，我们提供了mysql导⼊数据

大数据离线平台和Cassandra的整合 两大数据推送Cassandra工具 1. Hive Integrate Cassandra Native Protocol 2. Hive Integrate Cassandra Bulkload 大数据离线平台和Cassandra的整合 Hive Integrate Cassandra Native Protocol 1.Hive外部表映射到Cassandra表 2.Insert 简单快捷 3.跨机房推送限流/限速 4.异步写 大数据离线平台和Cassandra的整合 Hive Integrate Cassandra Native Protocol 大数据离线平台和Cassandra的整合 Hive Integrate Cassandra Bulkload 1.hive生成Cassandra底层的SSTable文件直接load到Cassandra 2.适用于数据快速初始化 适用于数据快速初始化 3.需要控制生成的SSTable大小避免Compact耗时多久 大数据离线平台和Cassandra的整合 Hive Integrate Cassandra Bulkload Q&A THANKS !

Database Management Customizing DBeaver DBeaver User Guide 21.2. Page 4 of 263. Oracle Apache Hive/Spark/Impala MongoDB Cassandra InfluxDB Redis Clickhouse Command-Line Reset UI settings Reset will take some time. Restart DBeaver. DBeaver User Guide 21.2. Page 218 of 263. Hive is a Hadoop-based storage system. Hive uses a special SQL dialect (HiveQL) to operate with data and metadata. Generally utilize Hive on server-side - including Apache Spark, Impala, etc. Most of them support standard Hive JDBC driver which is used in DBeaver to communicate with the server. DBeaver uses so-called Hive JDBC

Database Management Customizing DBeaver DBeaver User Guide 6.2. Page 4 of 263. Oracle Apache Hive/Spark/Impala MongoDB Cassandra InfluxDB Redis Clickhouse Command-Line Reset UI settings Reset will take some time. Restart DBeaver. DBeaver User Guide 6.2. Page 218 of 263. Hive is a Hadoop-based storage system. Hive uses a special SQL dialect (HiveQL) to operate with data and metadata. Generally utilize Hive on server-side - including Apache Spark, Impala, etc. Most of them support standard Hive JDBC driver which is used in DBeaver to communicate with the server. DBeaver uses so-called Hive JDBC

Services) DynamoDB DocumentDB Keyspaces GCP (Google Cloud Platform) Bigtable Couchbase Apache Hive/Spark/Impala Changing interface language Installing extensions - Themes, version control, etc Enterprise User Guide 21.1. Page 302 of 348. DBeaver User Guide 21.1. Page 303 of 348. Hive is a Hadoop-based storage system. Hive uses a special SQL dialect (HiveQL) to operate with data and metadata. Generally implementations of storage systems which utilize Hive on the server-side - including Apache Spark, Impala, etc. Most of them support the standard Hive JDBC driver which is used in DBeaver to communicate

Database backup/restore Task management Task scheduler MockData generation Schema compare Apache Hive/Spark/Impala MongoDB Cassandra InfluxDB Redis AWS DynamoDB Google BigTable DBeaver extensions only. DBeaver Enterprise Edition DBeaver User Guide 6.3. Page 226 of 274. Hive is a Hadoop-based storage system. Hive uses a special SQL dialect (HiveQL) to operate with data and metadata. Generally utilize Hive on server-side - including Apache Spark, Impala, etc. Most of them support standard Hive JDBC driver which is used in DBeaver to communicate with the server. DBeaver uses so-called Hive JDBC

Database backup/restore Task management Task scheduler MockData generation Schema compare Apache Hive/Spark/Impala MongoDB Cassandra InfluxDB Redis AWS DynamoDB Google BigTable DBeaver extensions only. DBeaver Enterprise Edition DBeaver User Guide 7.0. Page 226 of 277. Hive is a Hadoop-based storage system. Hive uses a special SQL dialect (HiveQL) to operate with data and metadata. Generally utilize Hive on server-side - including Apache Spark, Impala, etc. Most of them support standard Hive JDBC driver which is used in DBeaver to communicate with the server. DBeaver uses so-called Hive JDBC

Database backup/restore Task management Task scheduler MockData generation Schema compare Apache Hive/Spark/Impala MongoDB Cassandra InfluxDB Redis AWS DynamoDB Google BigTable DBeaver extensions only. DBeaver Enterprise Edition DBeaver User Guide 7.1. Page 229 of 281. Hive is a Hadoop-based storage system. Hive uses a special SQL dialect (HiveQL) to operate with data and metadata. Generally utilize Hive on server-side - including Apache Spark, Impala, etc. Most of them support standard Hive JDBC driver which is used in DBeaver to communicate with the server. DBeaver uses so-called Hive JDBC

Database backup/restore Task management Task scheduler MongoDB Cassandra InfluxDB Redis Apache Hive/Spark/Impala Google Bigtable Couchbase AWS DynamoDB Google BigTable DBeaver extensions - Office command line Configuring CRON scheduler DBeaver User Guide 7.2. Page 229 of 281. Hive is a Hadoop-based storage system. Hive uses a special SQL dialect (HiveQL) to operate with data and metadata. Generally utilize Hive on server-side - including Apache Spark, Impala, etc. Most of them support standard Hive JDBC driver which is used in DBeaver to communicate with the server. DBeaver uses so-called Hive JDBC

Task scheduler MongoDB Cassandra InfluxDB Redis AWS DynamoDB Google Bigtable Couchbase Apache Hive/Spark/Impala Installing extensions - Themes, version control, etc Command Line Reset UI settings DBeaver User Guide 7.3. Page 273 of 300. DBeaver User Guide 7.3. Page 274 of 300. Hive is a Hadoop-based storage system. Hive uses a special SQL dialect (HiveQL) to operate with data and metadata. Generally utilize Hive on server-side - including Apache Spark, Impala, etc. Most of them support standard Hive JDBC driver which is used in DBeaver to communicate with the server. DBeaver uses so-called Hive JDBC