Index
A
- Apache Ambari, Apache Ambari-Apache Ambari
- Apache Impala, Honorable Mentions (Kylin, Themis, Tephra, Hive, and Impala), Processing/Serving-Processing/Serving
- Apache Kylin, Honorable Mentions (Kylin, Themis, Tephra, Hive, and Impala)
- Apache Phoenix, Apache Phoenix
- Apache Thrift server, Thrift Server
- Apache Trafodion, Apache Trafodion
- AsyncHBase, AsyncHBase
- auto-sharding, Splits (Auto-Sharding)
- available memory, troubleshooting, Available Memory
- Avro, Use Case: HBase as a System of Record
C
- cells
- CFs (see column families)
- cloud, VM and, VM modes
- Cloudera Manager (CM), Cloudera Manager-Cloudera Manager
- cluster sizing (see sizing)
- code examples
- Collective, HBase as a master data management tool for, Use Case: HBase as a Master Data Management Tool-Processing
- column families (CFs)
- cause of having too many, Causes, Solution, and Prevention
- compactions, Compactions
- consequences of having too many, Consequences
- deleting, Delete a Column Family
- memory and, Memory
- merging, Merge a Column Family-Merge a Column Family
- separating into new table, Separate a Column Family into a New Table
- solutions for having too many, Causes, Solution, and Prevention
- splits, Splits (Auto-Sharding), Split
- table layout, Table Layout
- table storage, Column family
- too many, Too Many Column Families-Separate a Column Family into a New Table
- column qualifier (CQ)
- column-oriented databases, row-oriented databases vs., Column-Oriented Versus Row-Oriented
- columns, split operations and, Splits (Auto-Sharding)
- commands
- compaction
- compression
- CQ (see column qualifier)
- create command, create
D
- data blocks, Blocks, Data block encoding
- data conversion
- data indexing
- data retrieval, Data Retrieval-Data Retrieval
- data validation
- databases, column-oriented vs. row-oriented, Column-Oriented Versus Row-Oriented
- dependencies, Dependencies
- disk space, for HBase installation file, Disk space
- distributed log search, Cloudera Manager
- document store, Use Case: Document Store-Going Further
E
- Eclipse
- ecosystem, HBase, HBase Ecosystem-AsyncHBase
- environment setup, Environment Setup-Pseudodistributed and Fully Distributed
- available memory, Available Memory
- basic operations, Basic Operations-list
- create command, create
- disk space, Disk space
- environment variables, Environment Variables
- first steps, First Steps-From Eclipse
- fully distributed mode, Pseudodistributed and Fully Distributed
- HBase in a VM, HBase in a VM-HBase in a VM
- HBase standalone installation, HBase Standalone Installation-HBase Standalone Installation
- help command, help
- importing code examples, Import Code Examples-Download and build using Eclipse
- IP/name configuration, IP/Name Configuration
- Java, Java
- list command, list
- local mode, Local Mode
- local mode vs. vm, Local Versus VM
- memory, Memory
- operating system, Operating System
- pseudodistributed mode, Pseudodistributed and Fully Distributed
- QuickStart VM, QuickStart VM (or Equivalent)
- resources, Memory
- standalone mode, Environment Setup-From Eclipse
- system requirements, Operating System-Java
- /tmp folder access, Access to the /tmp Folder
- troubleshooting, Troubleshooting-Available Memory
- virtual Linux environment, Virtual Linux Environment
- virtual machine, Virtual Machine-Hadoop distribution
- environment variables, Environment Variables
- event processing (see near real-time event processing)
H
- Hadoop
- Hadoop Distributed Filesystem (HDFS)
- Hannibal, Hannibal
- HappyBase, HappyBase
- hardware
- hashing keys, Hashing keys
- HBase
- HBase Master, HBase Roles
- HBCK, General HBCK Overview-Using HBCK
- HDFS (see Hadoop Distributed Filesystem)
- help command, help
- HFiles
- Hive, Honorable Mentions (Kylin, Themis, Tephra, Hive, and Impala)
- HM, HBase Roles
- HMaster, HBase Roles
- hotspotting, Hotspotting-Prevention and Solution
I
- Impala, Honorable Mentions (Kylin, Themis, Tephra, Hive, and Impala), Processing/Serving-Processing/Serving
- inconsistencies, HBase Filesystem Layout-Using HBCK
- index block, Blocks
- indexes/indexing
- ingest/pre-processing phase
- interceptor, Interceptor-Lookup
- IP/name configuration troubleshooting, IP/Name Configuration
N
- near real-time event processing, Use Case: Near Real-Time Event Processing-Processing/Serving, Implementation of Near Real-Time Event Processing-Going Further
- application flow, Application Flow-Solr
- checking status of services, Implementation of Near Real-Time Event Processing
- conversion, Conversion
- data generation, Data Generation
- Flume configuration, Flume, Flume-Lookup
- Flume HBase sink, Flume HBase sink
- Flume Kafka channel, Flume Kafka channel
- Flume Kafka source, Flume Kafka source
- HBase implementation, HBase-Java implementation
- HBase key design, HBase-HBase
- implementation, Implementation-Testing
- inflight event processing, Near Real-Time Event Processing
- ingest/pre-processing phase, Ingest/Pre-Processing
- interceptor, Interceptor-Lookup
- Kafka configuration, Kafka
- Kafka queue/channel, Kafka
- Lily configuration, Lily-Lily
- Lily Indexer, Lily
- processing/serving phase, Processing/Serving-Processing/Serving
- serializer, Serializer-Serializer
- Solr implementation, Solr
- Solr schema, Solr
- testing, Testing
- network failure, as cause of timeouts, Network Failure
- networking, sizing and, Networking
R
- reference tables, Small Reference Tables
- regions
- regions, too many, Consequences-Key and Table Design
- causes, Causes
- consequences, Consequences
- file size settings to prevent, Regions Size-Regions Size
- improper pre-splitting, Improper presplitting
- key and table design, Key and Table Design
- misconfiguration, Misconfiguration
- misoperation, Misoperation
- offline merge to address, Offline merges-Using the Java API
- offline merge using HBase command, Using HBase command
- offline merge using Java API, Using the Java API
- online merge with HBase shell, Using HBase shell
- online merge with Java API, Using the Java API
- over-splitting, Over-splitting
- prevention, Prevention-Key and Table Design
- solutions before version 0.98, Before 0.98-Using the Java API
- solutions starting with version 0.98, Starting with 0.98-Using the Java API
- RegionServer (RS), RegionServer
- REST server, REST Server
- roles
- row-oriented databases, column-oriented databases vs., Column-Oriented Versus Row-Oriented
- rows
- RS (RegionServer), RegionServer
S
- secondary indexes, Apache Phoenix
- servers
- serving phase (see processing/serving phase)
- shell
- single region table, Going Further
- sizing, HBase Sizing and Tuning Overview-Networking
- Solr
- data indexing, Data Indexing-Data Indexing, Processing/Serving
- data retrieval, Data Retrieval-Data Retrieval
- event processing implementation, Solr
- event processing schema, Solr
- HBase datasets and, Processing/Serving-User Experience
- Lily Indexer and, Processing/Serving, Lily
- load of data into, Processing/Serving
- sizing, Different Workload Tuning
- Spark
- Splice Machine, Splice Machine
- splits, Splits (Auto-Sharding)
- SQL, SQL-Honorable Mentions (Kylin, Themis, Tephra, Hive, and Impala)
- Stacks extensible framework, Apache Ambari
- storage, Storage
- storage engine, underlying (see underlying storage engine)
- store object, Stores
- system of record, HBase as a, Use Case: HBase as a System of Record-User Experience
- system requirements, HBase, Operating System-Java
- systems tables, Table Format
T
- table design
- table format, HBase, Table Format-Cells
- table parameters, Table Parameters-Presplitting
- table schema, Table Schema
- table storage, Table Storage-Cells
- tables
- Tephra, Honorable Mentions (Kylin, Themis, Tephra, Hive, and Impala)
- test data, Generate Test Data
- text editor, Import Code Examples
- Themis, Honorable Mentions (Kylin, Themis, Tephra, Hive, and Impala)
- Thrift server, Thrift Server
- timeouts, Timeouts and Garbage Collection-Hardware Duplication
- causes, Causes
- garbage collection and, Timeouts and Garbage Collection-Hardware Duplication
- hardware duplication to prevent, Hardware Duplication
- network failure and, Network Failure
- power-saving features as cause of, Power-Saving Features, Disable Environment-Friendly Features
- prevention, Prevention-Hardware Duplication
- solutions, Solutions
- storage failure, Storage Failure
- swappiness configuration and, Configure Swappiness to 0 or 1
- /tmp folder access, Access to the /tmp Folder
- Trafodion, Apache Trafodion
- trailer block, Blocks
- troubleshooting
- troubleshooting, environment setup, Troubleshooting-Available Memory
- Tsquery language, Cloudera Manager
- tuning, OS Tuning-Different Workload Tuning
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