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Data Access
Data Access
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Contents
1. What's New
Apache Hive
Apache HBase
Apache Phoenix
Content Updates
2. Data Warehousing with Apache Hive
Content Roadmap
Features Overview
Temporary Tables
Optimized Row Columnar (ORC) Format
SQL Optimization
SQL Compliance
INSERT ... VALUES, UPDATE, and DELETE SQL Statements
SQL Standard-based Authorization with GRANT And REVOKE SQL Statements
Transactions
Subqueries
Common Table Expressions
Quoted Identifiers in Column Names
CHAR Data Type Support
Streaming Data Ingestion
Query Vectorization
Beeline versus Hive CLI
Hive JDBC and ODBC Drivers
Moving Data into Apache Hive
Using an External Table
Using Sqoop
Incrementally Updating a Table
Enabling security through Row-Level Filtering and Column Masking
Configuring HiveServer2
Configuring HiveServer2 for Transactions (ACID Support)
Configuring HiveServer2 for LDAP and for LDAP over SSL
Managing and Using Hive
Configuring SQL Standard-based Authorization
Required Privileges for Hive Operations
Configuring SQL Standard-Based Authorization
Storage-Based Authorization
Configuring Storage-based Authorization
Configuring authorization for Apache Hive using Apache Ranger
Permissions for Apache Hive Operations
Troubleshooting
JIRAs
3. Enabling Efficient Execution with Apache Pig and Apache Tez
4. Managing Metadata Services with Apache HCatalog
HCatalog Community Information
WebHCat Community Information
Security for WebHCat
5. Persistent Read/Write Data Access with Apache HBase
Content Roadmap
Deploying Apache HBase
Installation and Setup
Cluster Capacity and Region Sizing
Node Count and JVM Configuration
Physical Size of the Data
Read/Write Throughput
Region Count and Size
Increase MemStore size for RegionServer
Increase Size of Region
Initial Tuning of the Cluster
Increasing the Request Handler Thread Count
Configuring the Size and Number of WAL Files
Configuring Compactions
Splitting Tables
Tuning JVM Garbage Collection in RegionServers
Enabling Multitenancy with Namepaces
Default HBase Namespace Actions
Defining and Dropping Namespaces
Managing Resource Quotas of Namespaces
Security Features Available in Technical Preview
Managing Apache HBase Clusters
Monitoring Apache HBase Clusters
Optimizing Apache HBase I/O
An Overview of HBase I/O
Configuring BlockCache
Compressing BlockCache
Configuring Off-Heap Memory (BucketCache)
Configuring BucketCache
Importing Data into HBase with Bulk Load
Using Snapshots
Configuring a Snapshot
Taking a Snapshot
Listing Snapshots
Deleting Snapshots
Cloning a Table from a Snapshot
Restoring a Snapshot
Snapshot Operations and ACLs
Exporting to Another Cluster
Backing up and Restoring Apache HBase Datasets
Planning a Backup-and-Restore Strategy for Your Environment
Backup within a Cluster
Dedicated HDFS Archive Cluster
Backup to the Cloud or a Storage Vendor
Best Practices for Backup-and-Restore
Running the Backup-and-Restore Utility
Creating and Maintaining a Complete Backup Image
Required Command-Line Arguments
Optional Command-Line Arguments
Example of Usage
Monitoring Backup Progress
Required Command-Line Argument
Example of Usage
Using Backup Sets
Subcommands
Optional Command-Line Arguments
Example of Usage
Restoring a Backup Image
Required Command-Line Arguments
Optional Command-Line Arguments
Example of Usage
Administering and Deleting Backup Images
Technical Details of Incremental Backup-and-Restore
Scenario: Safeguarding Application Datasets on Amazon S3
Medium Object (MOB) Storage Support in Apache HBase
Enabling MOB Storage Support
Testing the MOB Storage Support Configuration
Tuning MOB Storage Cache Properties
6. Orchestrating SQL and APIs with Apache Phoenix
Enabling Phoenix and Interdependent Components
Thin Client Connectivity with Phoenix Query Server
Securing Authentication on the Phoenix Query Server
Selecting and Obtaining a Client Driver
Mapping Phoenix Schemas to HBase Namespaces
Enabling Namespace Mapping
Creating New Schemas and Tables with Namespace Mapping
Associating Tables of a Schema to a Namespace
Associating in a Noncustomized Environment without Kerberos
Associating in a Customized Kerberos Environment
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JIRAs
Issue tracking for Hive bugs and improvements can be found on the
Apache Hive site
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