Homepage/Cloudera on cloud Runtime7.0.1

(Public Cloud)

Search Documentation

▶︎Cloudera
1. Reference Architectures
▼Cloudera Public Cloud
▶︎Cloudera Private Cloud
▶︎Cloudera Manager
1. Cloudera Manager
▶︎Applications
▶︎Legacy
▶︎

Getting Started
Patterns
Preview Features
Data Catalog
Data Engineering
DataFlow
Data Hub
Data Warehouse
Data Warehouse Runtime
Cloudera AI
Management Console
Operational Database
Replication Manager
Cloudera Manager
Runtime

«

Filter topics

Cloudera Runtime
▶︎Cloudera Runtime Release Notes
1. ▶︎What's New
  1. Atlas
  2. HBase
  3. HDFS
  4. Hive
  5. Hue
  6. Impala
  7. Knox
  8. Kudu
  9. Oozie
  10. Ranger
  11. Spark
  12. YARN
  13. ZooKeeper
2. ▶︎Known Issues
  1. Atlas
  2. Hadoop
  3. HBase
  4. HDFS
  5. Hive
  6. Hue
  7. Impala
  8. Knox
  9. Kudu
  10. Oozie
  11. Ranger
  12. Solr
  13. Spark
  14. Sqoop
  15. YARN
  16. Zeppelin
  17. ZooKeeper
3. Cloudera Runtime Component Versions
Cloudera Manager Release Notes
▶︎Concepts
▶︎Planning for Apache Impala
1. Guidelines for Schema Design
2. User Account Requirements
▼How To
▶︎Troubleshooting
▶︎Reference

A List of S3A Configuration Properties
About HBase snapshots
About the Off-heap BucketCache
Access the YARN web user interface
Accessing Apache HBase
Accessing Avro data files from Spark SQL applications
Accessing Cloud Data
Accessing compressed files in Spark
Accessing data stored in Amazon S3 through Spark
Accessing external storage from Spark
Accessing HDFS Files from Spark
Accessing Hive from Spark
Accessing ORC Data in Hive Tables
Accessing ORC files from Spark
Accessing Parquet files from Spark SQL applications
Accessing Spark SQL through the Spark shell
Accessing the Oozie server with a browser
Accessing the Oozie server with the Oozie CLIent
Accessing the Ranger console
Accessing the Spark History Server
Accessing the tracing web interface
Accessing YARN logs
ACID operations
ACL examples
ACLS on HDFS features
Activate read replicas on a table
Active Directory Settings
Add a custom coprocessor
Add a group
Add a user
Add a ZooKeeper service
Add or edit permissions
Add storage directories using Cloudera Manager
Add the HttpFS role
Adding a custom banner
Adding a Hue role instance with Cloudera Manager
Adding a Hue service with Cloudera Manager
Adding a Ranger security zone
Adding a tag-based PII policy
Adding a tag-based service
Adding and Removing Range Partitions
Adding attributes to classifications
Adding schema to Oozie using Cloudera Manager
Adding tag-based policies
Adding the Oozie service using Cloudera Manager
Additional considerations when configuring TLS/SSL for Oozie HA
Additional HDFS haadmin commands to administer the cluster
Administering Apache Kudu
Administering Hue
Administering Ranger Reports
Administering Ranger Users, Groups, Roles, and Permissions
Administrative commands
Admission Control and Query Queuing
Admission Control Sample Scenario
Advanced Committer Configuration
Advanced configuration for write-heavy workloads
Advanced erasure coding configuration
Advanced ORC properties
Advanced partitioning
Aggregate and group data
Aggregate functions
Aliases
Allocating DataNode memory as storage
Allocating Resources with Capacity Scheduler
Already present: FS layout already exists
ALTER DATABASE statement
ALTER MATERIALIZED VIEW REBUILD
ALTER MATERIALIZED VIEW REWRITE
ALTER TABLE statement
ALTER VIEW statement
Altering a table
Altering table properties
Analytic functions
Apache Atlas Advanced Search language reference
Apache Atlas metadata collection overview
Apache Atlas Reference
Apache Atlas Statistics reference
Apache Hadoop YARN Overview
Apache Hadoop YARN Tuning
Apache HBase Overview
Apache HDFS ACLs
Apache Hive 3 architectural overview
Apache Hive 3 tables
Apache Hive content roadmap
Apache Hive key features
Apache Hive Materialized View Commands
Apache Hive Overview
Apache Hive Performance Tuning
Apache Hive Query basics
Apache Impala Overview
Apache Impala Reference
Apache Impala SQL Reference
Apache Kudu administration
Apache Kudu background maintenance tasks
Apache Kudu concepts and architecture
Apache Kudu Design
Apache Kudu Overview
Apache Kudu overview
Apache Kudu schema design
Apache Kudu transaction semantics
Apache Kudu usage limitations
Apache Ranger Auditing
Apache Ranger Authorization
Apache Spark access to Apache Hive
Apache Spark Overview
Apache Spark Overview
Apache Spark-Apache Hive connection configuration
Apache Zeppelin Overview
APIs for accessing HDFS
Application ACL evaluation
Application development
Application reservations
APPX_MEDIAN function
Architectural overview
ARRAY complex type
Assigning terms to categories
Associating classifications with entities
Associating terms with entities
Atlas
Atlas
Atlas dashboard tour
Atlas Metadata model overview
Audit Overview
Authentication tokens
Authentication with Apache Knox
Authorizing Apache Hive Access
Automate partition discovery and repair
Automatic Invalidation of Metadata Cache
Automatic Invalidation/Refresh of Metadata
Automating Spark Jobs with Oozie Spark Action
AVG
AVG function
Back up HDFS metadata
Back up HDFS metadata using Cloudera Manager
Backing up HDFS metadata
Backing up NameNode metadata
Balancer commands
Balancing data across an HDFS cluster
Basic partitioning
Before you create an operational database cluster
Benefits of centralized cache management in HDFS
Best practices for building Apache Spark applications
Best practices for ordering policies
Best practices for performance tuning
Best practices when adding new tablet servers
Best practices when using RegionServer grouping
BIGINT data type
Bit functions
Block cache size
Block move execution
Block move scheduling
BOOLEAN data type
Bringing a tablet that has lost a majority of replicas back online
Browse HBase tables
BucketCache IO engine
Build the project and upload the JAR
Building and deploying UDFs
Building and running a Spark Streaming application
Building reusable modules in Apache Spark applications
Building Spark Applications
Building the Java client
Built-in functions
Bypass the BlockCache
Cache eviction priorities
Caching terminology
Call the UDF in a query
Calling Hive user-defined functions (UDFs)
Canary test for pyspark command
Cancelling a Query
Capacity Scheduler Overview
Catalog operations
Catalog table
CDP identity management
CDP Security Overview
CDP user management system
Centralized cache management architecture
Changes after upgrading
Changing a nameservice name for Highly Available HDFS using Cloudera Manager
Changing directory configuration
Changing master hostnames
Changing the page logo
CHAR data type
CHAR data type support
Check Job History
Check Job Status
Check query execution
Choose the right import method
Choosing Data Formats
Choosing Transformations to Minimize Shuffles
ClassNotFoundException: com.cloudera.kudu.hive.KuduStorageHandler
Cleaning up after failed jobs
CLI commands to perform snapshot operations
Client authentication to secure Kudu clusters
Client connections to HiveServer
Close HiveWarehouseSession operations
Cloud identity federation
Cloud storage connectors overview
Cloudera Runtime
Cloudera Runtime Component Versions
Cloudera Runtime Release Notes
Cluster balancing algorithm
Cluster management limitations
Cluster Management with Capacity Scheduler
Coarse-grained authorization
Collecting metrics via HTTP
Column compression
Column design
Column encoding
Columnar datastore
Commands for using cache pools and directives
COMMENT statement
Comments
Common Kudu workflows
Common replication topologies
Common web interface pages
Compacting on-disk data
Compaction prerequisites
Compactor properties
Comparing replication and erasure coding
Complex types
Components
Compound operators
Compute
COMPUTE STATS statement
Conditional functions
Configuration properties
Configurations and CLI options for the HDFS Balancer
Configure a resource-based policy: Atlas
Configure a resource-based policy: HBase
Configure a resource-based policy: HDFS
Configure a resource-based policy: Hive
Configure a resource-based policy: Kafka
Configure a resource-based policy: Knox
Configure a resource-based policy: NiFi
Configure a resource-based policy: NiFi Registry
Configure a resource-based policy: Solr
Configure a resource-based policy: Storm
Configure a resource-based policy: YARN
Configure a resource-based service: Atlas
Configure a resource-based service: HBase
Configure a resource-based service: HDFS
Configure a resource-based service: Hive
Configure a resource-based service: Kafka
Configure a resource-based service: Knox
Configure a resource-based service: NiFi
Configure a resource-based service: NiFi Registry
Configure a resource-based service: Solr
Configure a resource-based service: Storm
Configure a resource-based service: YARN
Configure a Spark job for dynamic resource allocation
Configure ACLs
Configure ACLs for application priorities
Configure BucketCache IO engine
Configure CPU scheduling and isolation
Configure Cross-Origin Support on YARN
Configure DataNode memory as storage
Configure encryption in HBase
Configure HBase garbage collection
Configure HBase in Cloudera Manager to store snapshots in Amazon S3
Configure HBase servers to authenticate with a secure HDFS cluster
Configure HiveServer for ETL using YARN queues
Configure log aggregation
Configure memory settings
Configure metastore database properties
Configure metastore location and HTTP mode
Configure node labels
Configure partitions for transactions
Configure preemption
Configure queue mapping for users and groups to queues with the same name
Configure queue mapping for users and groups to specific queues
Configure queue mapping to use the user name from the application tag
Configure queue ordering policies
Configure Ranger authentication for AD
Configure Ranger authentication for LDAP
Configure Ranger authentication for UNIX
Configure read replicas using Cloudera Manager
Configure RegionServer grouping
Configure secure HBase replication
Configure secure HBase replication
Configure secure replication
Configure snapshots
Configure storage-based authorization
Configure temporary table storage
Configure the blocksize for a column family
Configure the compaction speed using Cloudera Manager
Configure the dynamic resource pool used for exporting and importing snapshots in Amazon S3
Configure the G1GC garbage collector
Configure the graceful shutdown timeout property
Configure the HBase Canary
Configure the HBase client TGT renewal period
Configure the HBase Thrift Server Role
Configure the off-heap BucketCache using Cloudera Manager
Configure the off-heap BucketCache using the command line
Configure the scanner heartbeat using Cloudera Manager
Configure the storage policy for WALs using Cloudera Manager
Configure the storage policy for WALs using the Command Line
Configure TLS/SSL for core Hadoop services
Configure TLS/SSL for HBase REST Server
Configure TLS/SSL for HBase Thrift Server
Configure TLS/SSL for HBase Web UIs
Configure TLS/SSL for HDFS
Configure TLS/SSL for Oozie
Configure TLS/SSL for YARN
Configure ulimit for HBase using Cloudera Manager
Configure ulimit for HBase using the Command Line
Configure ulimit using Pluggable Authentication Modules using the Command Line
Configure User Impersonation for Access to Hive
Configure User Impersonation for Access to Phoenix
Configure YARN for long-running applications
Configure YARN ResourceManager High Availability
Configure YARN Services using Cloudera Manager
Configure ZooKeeper client shell for Kerberos authentication
Configure ZooKeeper server for Kerberos authentication
Configuring a secure Kudu cluster using Cloudera Manager
Configuring a secure Kudu cluster using the command line
Configuring Access to S3
Configuring ACLs on HDFS
Configuring an external database for Oozie
Configuring and running the HDFS balancer using Cloudera Manager
Configuring and tuning S3A block upload
Configuring and Using Zeppelin Interpreters
Configuring Apache Hadoop YARN High Availability
Configuring Apache Hadoop YARN Log Aggregation
Configuring Apache Hadoop YARN Security
Configuring Apache HBase
Configuring Apache HBase High Availability
Configuring Apache Hive
Configuring Apache Hive Metastore
Configuring Apache Spark
Configuring Apache Zeppelin
Configuring authentication for long-running Spark Streaming jobs
Configuring Authorization
Configuring block size
Configuring Client Access to Impala
Configuring coarse-grained authorization with ACLs
Configuring concurrent moves
Configuring Data Protection
Configuring Dedicated Coordinators and Executors
Configuring Delegation for Clients
Configuring Directories for Intermediate Data
Configuring dynamic resource allocation
Configuring Dynamic Resource Pool
Configuring Encryption for Specific Buckets
Configuring Event Based Automatic Metadata Sync
Configuring Fault Tolerance
Configuring for Kudu Tables
Configuring HBase BlockCache
Configuring HBase MultiWAL
Configuring HBase Snapshots
Configuring HBase to use HDFS HA
Configuring HDFS ACLs
Configuring HDFS High Availability
Configuring HDFS trash
Configuring heterogeneous storage in HDFS
Configuring HiveServer high availability
Configuring HMS for high availability
Configuring HTTPS encryption for the Kudu master and tablet server web UIs
Configuring Impala TLS/SSL
Configuring Impala to work with HDFS HA
Configuring Impala Web UI
Configuring JDBC for Impala
Configuring Kerberos Authentication
Configuring LDAP Authentication
Configuring Livy
Configuring Load Balancer for Impala
Configuring MariaDB for Oozie
Configuring MultiWAL support using Cloudera Manager
Configuring MySQL for Oozie
Configuring ODBC for Impala
Configuring Oozie
Configuring Oozie data purge settings using Cloudera Manager
Configuring Oozie Sqoop1 Action workflow JDBC drivers
Configuring Oozie to enable MapReduce jobs to read or write from Amazon S3
Configuring oozie to use HDFS HA
Configuring Oozie to use HDFS HA
Configuring Oracle for Oozie
Configuring other CDP components to use HDFS HA
Configuring Per-Bucket Settings
Configuring Per-Bucket Settings to Access Data Around the World
Configuring PostgreSQL for Oozie
Configuring Ranger Authentication with UNIX, LDAP, or AD
Configuring Ranger Authentication with UNIX, LDAP, or AD
Configuring resource-based policies
Configuring resource-based services
Configuring S3Guard
Configuring Spark application logging properties
Configuring Spark application properties in spark-defaults.conf
Configuring Spark Applications
Configuring Spark on YARN Applications
Configuring the balancer threshold
Configuring the Hive Metastore to use HDFS HA
Configuring the Storage Policy for the Write-Ahead Log (WAL)
Configuring TLS/SSL for HBase
Confirm the election status of a ZooKeeper service
Connecting Hive to BI tools using a JDBC/ODBC driver
Connecting to Impala Daemon in Impala Shell
Considerations for backfill inserts
Considerations for Oozie to work with aws
Considerations for working with HDFS snapshots
Contents of the BlockCache
Control access to queues with ACLs
Controlling Data Access with Tags
Controlling data access with tags
Conversion functions
Convert an HDFS file to ORC
Convert Hive CLI scripts to Beeline
Converting from an NFS-mounted shared edits directory to Quorum-Based Storage
Corruption: checksum error on CFile block
COUNT
COUNT function
Create a CRUD transactional table
Create a custom service
Create a Hadoop archive
Create a read-only Admin user (Auditor)
Create a snapshot policy
Create a Sqoop import command
Create a standard service
Create a temporary table
Create a time-bound policy
Create a topology map
Create a topology script
Create a user-defined function
Create an insert-only transactional table
Create an S3-based external table
Create and Run a Note
Create and use a materialized view
Create and use a partitioned materialized view
CREATE DATABASE statement
Create empty table on the destination cluster
CREATE FUNCTION statement
CREATE MATERIALIZED VIEW
Create new services
Create partitions dynamically
Create snapshots on a directory
Create snapshots using Cloudera Manager
CREATE TABLE AS SELECT
CREATE TABLE statement
Create the UDF class
CREATE VIEW statement
Creating a new Kudu table from Impala
Creating a table from an Amazon S3 file
Creating an operational database cluster
Creating categories
Creating classifications
Creating glossaries
Creating Static Pools
Creating terms
CUME_DIST
Customize dynamic resource allocation settings
Customize interpreter settings in a note
Customize the HDFS home directory
Customizing HDFS
Customizing Per-Bucket Secrets Held in Credential Files
Customizing the Hue web UI
Customizing time zones
Data Access
Data Access
Data compaction
Data Lake security
Data migration to Apache Hive
Data protection
Data Science
Data Science
Data Stewardship with Apache Atlas
Data storage metrics
Data types
Databases
DataNodes
DataNodes
Date and time functions
DATE data type
DDL statements
Debug Web UI for Catalog Server
Debug Web UI for Impala Daemon
Debug Web UI for StateStore
Decide to use the BucketCache
DECIMAL data type
Decimal type
Decommissioning or permanently removing a tablet server from a cluster
Dedicated Coordinator
Default EXPIRES ON tag policy
Default operational database cluster definition
Define queue mapping policies
Defining related terms
Delete a group
Delete a user
Delete data from a table
Delete HBase snapshots from Amazon S3
Delete snapshots using Cloudera Manager
DELETE statement
Deleting a row
Deleting in bulk
Deletion
DENSE_RANK
Deploy HBase replication
Deploying and configuring Oozie Sqoop1 Action JDBC drivers
Deploying and Managing Services and Microservices on YARN
Describe a materialized view
DESCRIBE EXTENDED and DESCRIBE FORMATTED
DESCRIBE statement
Detecting slow DataNodes
Determine the table type
Developing and running an Apache Spark WordCount application
Developing Apache Spark Applications
Developing Applications with Apache Kudu
Developing applications with Apache Kudu
Diagnostics logging
Disable automatic compaction
Disable High Availability
Disable loading of coprocessors
Disable RegionServer grouping
Disable replication at the peer level
Disable the BoundedByteBufferPool
Disable work preserving recovery on ResourceManager
Disabling and redeploying HDFS HA
Disabling S3Guard and destroying a table
Disk space usage
Disk space versus namespace
DistCp additional considerations
DistCp and security settings
DistCp between HA clusters
DISTINCT operator
DML statements
DOUBLE data type
Drop a materialized view
Drop an external table along with data
DROP DATABASE statement
DROP FUNCTION statement
DROP MATERIALIZED VIEW
DROP STATS statement
DROP TABLE statement
DROP VIEW statement
Dropping a Kudu table using Impala
Dumping the Oozie database
Dynamic allocation
Dynamic resource allocation properties
Dynamic Resource Pool Settings
Dynamic resource-based column masking in Hive with Ranger policies
Dynamic tag-based column masking in Hive with Ranger policies
Dynamically loading a custom filter
Edit a group
Edit a user
Edit or delete a snapshot policy
Effects of WAL rolling on replication
Enable Access Control for Data
Enable Access Control for Interpreter, Configuration, and Credential Settings
Enable Access Control for Notebooks
Enable ACL for RegionServer grouping
Enable ACLs
Enable and disable snapshot creation using Cloudera Manager
Enable automatic compaction
Enable Cgroups
Enable debug-delay
Enable detection of slow DataNodes
Enable GZipCodec as the default compression codec
Enable HBase high availability using Cloudera Manager
Enable HBase indexing
Enable hedged reads for HBase
Enable High Availability
Enable intra-queue preemption
Enable override of default queue mappings
Enable preemption
Enable priority scheduling
Enable RegionServer grouping using Cloudera Manager
Enable replication on a specific table
Enable SASL in HiveServer
Enable server-server mutual authentication
Enable snapshot creation on a directory
Enable the Capacity Scheduler
Enable TLS/SSL for HiveServer
Enable work preserving recovery on NodeManager
Enabling Access Control for Zeppelin Elements
Enabling Admission Control
Enabling and disabling trash
Enabling core dump for the Kudu service
Enabling fault-tolerant processing in Spark Streaming
Enabling HDFS HA
Enabling High Availability and automatic failover
Enabling Hue applications with Cloudera Manager
Enabling Kerberos authentication and RPC encryption
Enabling LDAP Authentication for impala-shell
Enabling LDAP for in Hue
Enabling Native Acceleration For MLlib
Enabling Oozie SLA with Cloudera Manager
Enabling or disabling anonymous usage date collection
Enabling Spark authentication
Enabling Spark Encryption
Enabling Speculative Execution
Enabling SSE-C
Enabling SSE-KMS
Enabling SSE-S3
Enabling the Oozie web console on managed clusters
Enabling the SQL editor autocompleter
Enabling vectorized query execution
Encrypting an S3 Bucket with Amazon S3 Default Encryption
Encrypting Communication
Encrypting Data on S3
Encryption
Environment variables for sizing NameNode heap memory
Erasure coding CLI command
Erasure coding examples
Erasure coding overview
Errors during hole punching test
Escape an illegal identifier
Example use cases
Example workload
Example: Configuration for work preserving recovery
Example: Killing an application in the "Production" queue
Example: Moving the application and viewing the log in the "Test" queue
Example: Running SparkPi on YARN
Examples
Examples of accessing Amazon S3 data from Spark
Examples of controlling data access using classifications
Examples of creating and using UDFs
Examples of DistCp commands using the S3 protocol and hidden credentials
Examples of estimating NameNode heap memory
Examples of FIFO and Fair Sharing policies
Exit statuses for the HDFS Balancer
EXPLAIN statement
Exploring using Lineage
Export a Note
Export a snapshot to another cluster
Export all resource-based policies for all services
Export Ranger reports
Export resource-based policies for a specific service
Export tag-based policies
Exporting query results to Amazon S3
Expose HBase metrics to a Ganglia server
Extending Atlas to Manage Metadata from Additional Sources
Extending Atlas to manage metadata from additional sources
External table access
Failures during INSERT, UPDATE, UPSERT, and DELETE operations
Fetching Spark Maven dependencies
File descriptors
Files and directories
Files and directories
Filter types
Finding issues
FIRST_VALUE
Fixing issues
FLOAT data type
Flushing data to disk
Format for using Hadoop archives with MapReduce
FreeIPA identity management
Functions
General Settings
Generate and view Apache Hive statistics
Generate surrogate keys
Generating statistics
Generating Table and Column Statistics
Getting Started with Apache HBase
Glossaries overview
Governance
Governance
Governance Overview
Governance overview
Graceful HBase Shutdown
Gracefully shut down an HBase RegionServer
Gracefully shut down the HBase service
GRANT statement
GROUP BY clause
GROUP_CONCAT function
Guidelines for Schema Design
Hadoop
Hadoop archive components
Hadoop File Formats Supports
Handling bucketed tables
Hash and hash partitioning
Hash and range partitioning
Hash partitioning
Hash partitioning
HashTable/SyncTable tool configuration
HAVING clause
HBase
HBase
HBase actions that produce Atlas entities
HBase audit entries
HBase Authentication
HBase Authorization
HBase backup and disaster recovery strategies
HBase configuration to use S3 as a storage layer
HBase entities created in Atlas
HBase filtering
HBase I/O components
HBase is using more disk space than expected
Hbase lineage
HBase metadata collection
HBase Object Store Semantics Overview
HBase on CDP
HBase online merge
HBase read replicas
HBase Shell example
HBase Shell overview
HBase snapshots on Amazon S3 with Kerberos enabled
HBCK2 tool command reference
HDFS
HDFS
HDFS ACL permissions model and YARN queues
HDFS Block Skew
HDFS Caching
HDFS commands for metadata files and directories
HDFS Metrics
HDFS Overview
HDFS storage types
Heap sampling
Hierarchical Queue Characteristics
High Availability on HDFS clusters
Hive
Hive
Hive 3 ACID transactions
Hive Authentication
Hive Server 2 actions that produce Atlas entities
Hive Server 2 audit entries
Hive Server 2 entities created in Atlas
Hive Server 2 lineage
Hive Server 2 metadata collection
Hive Server 2 relationships
Hive table locations
Hive Warehouse Connector API Examples
Hive Warehouse Connector for accessing Apache Spark data
Hive Warehouse Connector Interfaces
Hive Warehouse Connector supported types
HiveWarehouseSession API operations
HMS table storage
How NameNode manages blocks on a failed DataNode
How tag-based access control works
Hue
Hue
Hue configuration files
Hue logs
Hue Overview
Hue safety valves
Hue supported browsers
IAM Role permissions for working with SSE-KMS
Identifiers
Impala
Impala
Impala actions that produce Atlas entities
Impala audit entries
Impala Authentication
Impala Authorization
Impala database containment model
Impala DDL for Kudu
Impala DML for Kudu Tables
Impala entities created in Atlas
Impala integration limitations
Impala lineage
Impala lineage
Impala Logs
Impala metadata collection
Impala Shell Command Reference
Impala Shell Configuration File
Impala Shell Configuration Options
Impala Shell Tool
Impala SQL
Impala SQL and Hive SQL
Impala with Amazon S3
Impala with Azure Data Lake Store (ADLS)
Impala with HBase
Impala with HDFS
Impala with Kudu
Import a Note
Import command options
Import External Packages
Import RDBMS data into Hive
Import RDBMS data to HDFS
Import resource-based policies for a specific service
Import resource-based policies for all services
Import tag-based policies
Importing a Bucket into S3Guard
Importing and exporting resource-based policies
Importing and exporting tag-based policies
Importing data into HBase
Improving Performance for S3A
Improving performance using partitions
Improving performance with centralized cache management
Improving performance with short-circuit local reads
Improving Software Performance
Increasing StateStore Timeout
Increasing storage capacity with HDFS compression
Incrementally update an imported table
Information and debugging
Initiate replication when data already exist
INSERT and primary key uniqueness violations
Insert data into an ACID table
INSERT statement
Inserting a row
Inserting in bulk
Installing NTP
Installing the UDF development package
INT data type
Integrating Apache Hive with Apache Spark and BI
Interacting with Hive views
Internal and external Impala tables
Internal private key infrastructure (PKI)
Intra-Queue preemption based on application priorities
Intra-Queue preemption based on user limits
Introducing the S3A Committers
Introduction
Introduction
Introduction
Introduction
Introduction
Introduction
Introduction
Introduction
Introduction
Introduction to HDFS metadata files and directories
Introduction to Hive metastore
Introduction to S3Guard
INVALIDATE METADATA statement
Issues starting or restarting the master or the tablet server
Java API example
JDBC connection string syntax
JDBC connection string syntax
Joins in Impala SELECT statements
JournalNodes
JournalNodes
Keep replicas current
Kernel stack watchdog traces
Key components of warehouse processing
Killing an application
Known issue: Ranger group mapping
Known Issues
Known issues and limitations
Known issues and limitations
Knox
Knox
Kudu
Kudu
Kudu authentication with Kerberos
Kudu example applications
Kudu integration with Spark
Kudu master web interface
Kudu metrics
Kudu Python client
Kudu security
Kudu tablet server web interface
Kudu tracing
Kudu web interfaces
Kudu-Impala integration
LAG
LAST_VALUE
Launch the Service YARN file
Launch Zeppelin
LAZY_PERSIST memory storage policy
LDAP Settings
LEAD
LIMIT clause
Limit concurrent connections
Limit CPU usage with Cgroups
Limitations and restrictions for Impala UDFs
Limitations of Amazon S3
Limitations of erasure coding
Limitations of the S3A Committers
Limiting the Speed of Compactions
Lineage lifecycle
Lineage overview
Linux Container Executor
List files in Hadoop archives
Listing available metrics
Literals
Livy API reference for batch jobs
Livy API reference for interactive sessions
Livy batch object
Livy objects for interactive sessions
LOAD DATA statement
Loading ORC data into DataFrames using predicate push-down
Loading the Oozie database
Log Aggregation File Controllers
Log aggregation properties
Log redaction
Logical operators, comparison operators and comparators
Logical replication
Low-latency analytical processing
Maintenance manager
Manage and monitor services
Manage cluster capacity with queues
Manage HBase snapshots on Amazon S3 in Cloudera Manager
Manage HBase snapshots using Cloudera Manager
Manage HBase snapshots using the Command Line
Manage long-running YARN applications
Manage partition retention time
Manage partitions
Manage Policies for HBase snapshots in Amazon S3
Manage query rewrites
Managing Access Control Lists
Managing and Allocating Cluster Resources using Capacity Scheduler
Managing Apache HBase
Managing Apache HBase Security
Managing Apache Hive
Managing Apache Impala
Managing Apache ZooKeeper
Managing Apache ZooKeeper Security
Managing applications
Managing Applications on Apache Hadoop YARN
Managing Auditing with Ranger
Managing Business Terms with Atlas Glossaries
Managing Data Storage
Managing Kudu with Cloudera Manager
Managing Logs
Managing Metadata in Impala
Managing Resources in Impala
Managing snapshot policies using Cloudera Manager
Managing the YARN service life cycle through the REST API
Manually failing over to the standby NameNode
MAP complex type
MapReduce Application ACL
Master
Mathematical functions
Maven artifacts
MAX
MAX function
Maximizing storage resources using ORC
Memory
Memory limits
Merge data in tables
Merge process stops during Sqoop incremental imports
Migrating Data Using Sqoop
Migrating Kudu data from one directory to another on the same host
Migrating to multiple Kudu masters
Migration Guide
MIN
MIN function
Minimizing cluster disruption during temporary planned downtime of a single tablet server
Miscellaneous functions
Modify interpreter settings
Modifying Impala Startup Options
Monitor applications
Monitor blocksize metrics
Monitor clusters
Monitor nodes
Monitor queues
Monitor RegionServer grouping
Monitor the BlockCache
Monitor the performance of hedged reads
Monitoring and Debugging Spark Applications
Monitoring and Maintaining S3Guard
Monitoring cluster health with ksck
Monitoring clusters using YARN web user interface
Monitoring heap memory usage
Monitoring Impala
Monitoring NTP status
More Resources
Move HBase Master Role to another host
Moving a NameNode to a different host using Cloudera Manager
Moving data from databases to Apache Hive
Moving data from HDFS to Apache Hive
Moving highly available NameNode, failover controller, and JournalNode roles using the Migrate Roles wizard
Moving NameNode roles
Moving the JournalNode edits directory for a role group using Cloudera Manager
Moving the JournalNode edits directory for a role instance using Cloudera Manager
Multilevel partitioning
NameNode architecture
NameNodes
NameNodes
NDV function
Next steps
Non-covering range partitions
Notes about replication
NTILE
NTP clock synchronization
NTP configuration best practices
Off-heap BucketCache
OFFSET clause
On-demand Metadata
Oozie
Oozie
Oozie configurations with CDP services
Oozie database configurations
Oozie scheduling examples
Operational Database
Operational database cluster
Operators
Optimizer hints
Optimizing data storage
Optimizing HBase I/O
Optimizing NameNode disk space with Hadoop archives
Optimizing performance
Optimizing performance for evaluating SQL predicates
Optimizing queries using partition pruning
Optimizing S3A read performance for different file types
Options to determine differences between contents of snapshots
ORDER BY clause
Other known issues
OVER
Overview
Overview
Overview
Overview of Hadoop archives
Overview of HDFS
Overview of Oozie
Packaging different versions of libraries with an Apache Spark application
Partition a cluster using node labels
Partition pruning
Partition Pruning for Queries
Partitioning
Partitioning
Partitioning examples
Partitioning for Kudu Tables
Partitioning guidelines
Partitioning limitations
Partitioning tables
Partitions introduction
PERCENT_RANK
Perform a backup of the HDFS metadata
Perform hostname changes
Perform scans using HBase Shell
Perform the migration
Perform the recovery
Perform the removal
Performance and storage considerations for Spark SQL DROP TABLE PURGE
Performance Best Practices
Performance Considerations
Performance considerations for UDFs
Performance Impact of Encryption
Physical backups of an entire node
Planning for Apache Impala
Populating an S3 bucket
Ports Used by Impala
Predicate push-down optimization
Preemption workflow
Preloaded resource-based services and policies
Prepare for hostname changes
Prepare for removal
Prepare for the migration
Prepare for the recovery
Prepare to back up the HDFS metadata
Preparing the hardware resources for HDFS High Availability
Prerequisites for configuring short-ciruit local reads
Prerequisites for configuring TLS/SSL for Oozie
Prerequisites for enabling erasure coding
Prerequisites for enabling HDFS HA using Cloudera Manager
Prerequisites to configure TLS/SSL for HBase
Primary key design
Primary key index
Propagating classifications through lineage
Properties for configuring centralized caching
Properties for configuring intra-queue preemption
Properties for configuring short-circuit local reads on HDFS
Properties for configuring the Balancer
Properties to set the size of the NameNode edits directory
Provision an operational database cluster
Pruning Old Data from S3Guard Tables
Query correlated data
Query Join Performance
Query options
Query result cache and metastore cache
Query the information_schema database
Query vectorization
Querying an existing Kudu table from Impala
Querying files into a DataFrame
Rack awareness (Location awareness)
Raft consensus algorithm
Range partitioning
Range partitioning
Ranger
Ranger
Ranger access conditions
Ranger AD Integration
Ranger console navigation
Ranger Policies Overview
Ranger Security Zones
Ranger tag-based policies
Ranger UI authentication
Ranger UI authorization
Ranger user management
Ranger Usersync
RANK
Read and write operations
Read operations (scans)
Read replica properties
Reading data from HBase
Reading Hive ORC tables
Reads (scans)
REAL data type
Rebuilding a Kudu filesystem layout
Recommended configurations for the Balancer
Recommended configurations for the balancer
Recommended settings for G1GC
Recover data from a snapshot
Recovering from a dead Kudu master in a multi-master deployment
Recovering from disk failure
Recovering from full disks
Redeploying the Oozie ShareLib
Redeploying the Oozie sharelib using Cloudera Manager
Reducing the Size of Data Structures
Referencing S3 Data in Applications
REFRESH AUTHORIZATION statement
REFRESH FUNCTIONS statement
REFRESH statement
Register the UDF
Reload, view, and filter functions
Remove a DataNode
Remove a RegionServer from RegionServer grouping
Remove storage directories using Cloudera Manager
Removing Kudu masters from a multi-master deployment
Repair partitions manually using MSCK repair
Replace a ZooKeeper disk
Replace a ZooKeeper role on an unmanaged cluster
Replace a ZooKeeper role with ZooKeeper service downtime
Replace a ZooKeeper role without ZooKeeper service downtime
Replicate pre-exist data in an active-active deployment
Replication
Replication across three or more clusters
Replication caveats
Replication requirements
Reporting Kudu crashes using breakpad
Request a timeline-consistent read
Reserved words
Resource distribution workflow
Resource distribution workflow example
Resource Tuning Example
Resource-based Services and Policies
Restore an HBase snapshot from Amazon S3
Restore an HBase snapshot from Amazon S3 with a new name
Restore data from a replica
Restore HDFS metadata from a backup using Cloudera Manager
Restoring NameNode metadata
REVOKE statement
Row-level filtering and column masking in Hive
Row-level filtering in Hive with Ranger policies
ROW_NUMBER
RPC timeout traces
Run a Hive command
Running a Spark MLlib example
Running a tablet rebalancing tool in Cloudera Manager
Running a tablet rebalancing tool on a rack-aware cluster
Running an interactive session with the Livy API
Running Apache Spark Applications
Running Commands and SQL Statements in Impala Shell
Running PySpark in a virtual environment
Running sample Spark applications
Running shell commands
Running Spark applications on secure clusters
Running Spark applications on YARN
Running Spark Python applications
Running tablet rebalancing tool
Running the balancer
Running the HBCK2 tool
Running your first Spark application
Runtime environment for UDFs
Runtime error: Could not create thread: Resource temporarily unavailable (error 11)
Runtime Filtering
S3 Performance Checklist
S3A and Checksums (Advanced Feature)
S3Guard: Operational Issues
Safely Writing to S3 Through the S3A Committers
Sample pom.xml file for Spark Streaming with Kafka
Save the YARN file as Service App
Saving searches
Scalability
Scalability Considerations
Scaling Kudu
Scaling Limits and Guidelines
Scaling recommendations and limitations
Scaling storage on Kudu master and tablet servers in the cloud
Scheduling Among Queues
Scheduling in Oozie using cron-like syntax
Schema alterations
Schema design limitations
Schema design limitations
Schema objects
Script with HBase Shell
Search an application
Search Ranger reports
Searching for entities using classifications
Searching metadata tags
Searching overview
Searching using terms
Searching with Metadata
Secondary Sort
Secure Hive Metastore
Secure HiveServer using LDAP
Secure-to-secure: Kerberos principal name
Secure-to-secure: ResourceManager mapping rules
Securing Apache Hive
Securing Impala
Securing the S3A Committers
Security
Security considerations
Security considerations for UDFs
Security limitations
Security Model and Operations on S3
Security terminology
SELECT statement
Server management limitations
Set application limits
Set flexible scheduling policies
Set properties in Cloudera Manager
Set queue priorities
Set quotas using Cloudera Manager
SET statement
Set up a JDBC URL connection override
Set up a PostgreSQL database
Set up a storage policy for HDFS
Set up Amazon RDS as a Hive metastore
Set up an Oracle database
Set up MariaDB or MySQL database
Set up queues
Set Up Sqoop
Set up SSD storage using Cloudera Manager
Set up the backend Hive metastore database
Set up the cost-based optimizer and statistics
Set up the development environment
Set up WebHDFS on a secure cluster
Set user limits
Setting HDFS quotas
Setting Python path variables for Livy
Setting the cache timeout
Setting the Idle Query and Idle Session Timeouts
Setting the Oozie database timezone
Setting the trash interval
Setting Timeout and Retries for Thrift Connections to Backend Client
Setting Timeouts in Impala
Setting up a shared Amazon RDS as a Hive metastore
Setting up Data Cache for Remote Reads
Setting Up HDFS Caching
Setting up the metastore database
Setting User Limits for HBase
Shell commands
Shiro Settings: Reference
shiro.ini Example
Show materialized views
SHOW MATERIALIZED VIEWS
SHOW statement
SHUTDOWN statement
Single tablet write operations
Size the BlockCache
Sizing NameNode heap memory
Slow name resolution and nscd
SMALLINT data type
Snapshot failures
Solr
Spark
Spark
Spark actions that produce Atlas entities
Spark Application ACL
Spark application model
Spark audit entries
Spark cluster execution overview
Spark entities created in Apache Atlas
Spark execution model
Spark integration best practices
Spark integration known issues and limitations
Spark integration limitations
Spark lineage
Spark metadata collection
Spark on YARN deployment modes
Spark relationships
Spark security
Spark SQL example
Spark Streaming and Dynamic Allocation
Spark Streaming Example
Spark troubleshooting
spark-submit command options
Specify the JDBC connection string
Specifying Impala Credentials to Access S3
Speeding up Job Commits by Increasing the Number of Threads
SQL migration
SQL statements
SQLContext and HiveContext
Sqoop
Sqoop Hive import stops when HS2 does not use Kerberos authentication
SSE-C: Server-Side Encryption with Customer-Provided Encryption Keys
SSE-KMS: Amazon S3-KMS Managed Encryption Keys
SSE-S3: Amazon S3-Managed Encryption Keys
Start and stop queues
Start compaction manually
Start HBase
Start Hive on an insecure cluster
Start Hive using a password
Starting and Stopping HBase using Cloudera Manager
Starting and stopping Kudu processes
Starting Apache Hive
Starting the Oozie server
Statistics generation and viewing commands
STDDEV, STDDEV_SAMP, STDDEV_POP functions
Step 1: Worker host configuration
Step 2: Worker host planning
Step 3: Cluster size
Step 6: Verify container settings on cluster
Step 6A: Cluster container capacity
Step 6B: Container sanity checking
Step 7: MapReduce configuration
Step 7A: MapReduce sanity checking
Steps 4 and 5: Verify settings
Stop HBase
Stop replication in an emergency
Stopping Impala
Stopping the Oozie server
Storage
Storage
Storage group classification
Storage group pairing
Storage Systems Supports
Storage-based operation permissions
Store HBase snapshots on Amazon S3
STRING data type
String functions
STRUCT complex type
Submit a Hive Warehouse Connector Python app
Submit a Hive Warehouse Connector Scala or Java application
Submitting batch applications using the Livy API
Submitting Spark applications
Submitting Spark Applications to YARN
Submitting Spark applications using Livy
Subqueries in Impala SELECT statements
Subquery restrictions
SUM
SUM function
Switching from CMS to G1GC
Synchronize table data using HashTable/SyncTable tool
Table
Table and Column Statistics
Tables
TABLESAMPLE clause
Tablet
Tablet history garbage collection and the ancient history mark
Tablet server
Tag-based Services and Policies
Tags and policy evaluation
Take a snapshot using a shell script
Take HBase snapshots
Terms
The Cloud Storage Connectors
The perfect schema
The S3A Committers and Third-Party Object Stores
Thread Tuning for S3A Data Upload
Threads
Thrift Server crashes after receiving invalid data
Timeline consistency
TIMESTAMP compatibility for Parquet files
TIMESTAMP data type
TINYINT data type
Tombstoned or STOPPED tablet replicas
Tools
Transactional table access
Transactions
Trash behavior with HDFS Transparent Encryption enabled
Troubleshoot RegionServer grouping
Troubleshooting
Troubleshooting Apache HBase
Troubleshooting Apache Hive
Troubleshooting Apache Impala
Troubleshooting Apache Kudu
Troubleshooting Apache Kudu
Troubleshooting Apache Sqoop
Troubleshooting HBase
Troubleshooting Impala
Troubleshooting NTP stability problems
Troubleshooting performance issues
Troubleshooting S3 and S3Guard
Troubleshooting the S3A Committers
TRUNCATE TABLE statement
Tuning Apache Spark
Tuning Apache Spark Applications
Tuning Impala
Tuning Resource Allocation
Tuning S3A Uploads
Tuning Spark Shuffle Operations
Tuning the metastore
Tuning the Number of Partitions
Turning safe mode on HA NameNodes
UDF concepts
Unable to alter S3-backed tables
Understanding erasure coding policies
Understanding HBase Garbage Collection
Understanding Performance using EXPLAIN Plan
Understanding Performance using Query Profile
Understanding Performance using SUMMARY Report
Understanding YARN architecture
UNION clause
Unsupported Apache Spark Features
Unsupported interfaces
Update and overwrite
Update data in a table
UPDATE statement
Updating a row
Updating in bulk
Upsert option in Kudu Spark
UPSERT statement
Upserting a row
Usability issues
Use a CTE in a query
Use a custom MapReduce job
Use a materialized view in a subquery
Use a subquery
Use BulkLoad
Use cases for ACLs on HDFS
Use cases for BulkLoad
Use cases for centralized cache management
Use cases for HBase
Use cluster replication
Use CopyTable
Use CPU scheduling
Use dfs.datanode.max.transfer.threads with Hbase
Use DNS with HBase
Use GZipCodec with a one-time job
Use HashTable and SyncTable Tool
Use HBase command-line utilities
Use log aggregation
Use multiple ZooKeeper services
Use node labels
Use snapshots
Use Spark
Use Sqoop
USE statement
Use the Apache Thrift Proxy API
Use the Hive Warehouse Connector for streaming
Use the Hue HBase app
Use the Java API
Use the JDBC interpreter to access Hive
Use the JDBC interpreter to access Phoenix
Use the Livy interpreter to access Spark
Use the Network Time Protocol (NTP) with HBase
Use the YARN CLI to view logs for applications
Use the YARN REST APIs to manage applications
Use the yarn rmadmin tool to Administer ResourceManager High Availability
Use the YARN Services API
User Account Requirements
User-defined functions (UDFs)
Using a credential provider to secure S3 credentials
Using advanced search
Using Amazon S3 with Apache HBase
Using Amazon S3 with Hue
Using Apache HBase Backup and Disaster Recovery
Using Apache Hive
Using Apache Impala with Apache Kudu
Using Apache Impala with Apache Kudu
Using Apache Zeppelin
Using Avro Data Files
Using Basic Search
Using Breakpad Minidumps for Crash Reporting
Using Cgroups
Using chrony for time synchronization
Using CLI commands to create and list ACLs
Using Cloudera Manager to manage HDFS HA
Using cluster names in the kudu command line tool
Using common table expressions
Using constraints
Using custom libraries with Spark
Using DistCp
Using DistCp to copy files
Using DistCp with Amazon S3
Using EC2 Instance Metadata to Authenticate
Using erasure coding for existing data
Using erasure coding for new data
Using Free-text Search
Using functions
Using governance-based data discovery
Using HBase Blocksize
Using HBase Coprocessors
Using HBase Replication
Using HBase Scanner Heartbeat
Using HDFS snapshots for data protection
Using Hedged Reads
Using HttpFS to provide access to HDFS
Using Hue
Using Hue
Using Impala to query Kudu tables
Using JdbcStorageHandler to query an RDBMS
Using JdbcStorageHandler to query an RDBMS
Using JMX for accessing HDFS metrics
Using Livy with interactive notebooks
Using Livy with Spark
Using Load Balancer with HttpFS
Using materialized views
Using ORC Data Files
Using Parquet Data Files
Using PySpark
Using rack awareness for read replicas
Using Ranger to Provide Authorization in CDP
Using RCFile Data Files
Using RegionServer Grouping
Using S3Guard for Consistent S3 Metadata
Using scheduling to allocate resources
Using SequenceFile Data Files
Using Spark Hive Warehouse and HBase Connector Client .jar files with Livy
Using Spark MLlib
Using Spark SQL
Using Spark Streaming
Using Spark with a secure Kudu cluster
Using Sqoop actions with Oozie
Using tag attributes and values in Ranger tag-based policy conditions
Using Text Data Files
Using the Charts Library with the Kudu service
Using the Directory Committer in MapReduce
Using the HBCK2 tool to remediate HBase clusters
Using the Livy API to run Spark jobs
Using the Note Toolbar
Using the Ranger Console
Using the S3Guard CLI
Using the S3Guard Command to List and Delete Uploads
Using the Spark DataFrame API
Using Unique Filenames to Avoid File Update Inconsistency
Using YARN with a secure cluster
Using Zeppelin Interpreters
VALUES statement
VARCHAR data type
VARIANCE, VARIANCE_SAMP, VARIANCE_POP, VAR_SAMP, VAR_POP functions
Variations on Put
Verify that replication works
Verify the ZooKeeper authentication
Verifying if a memory limit is sufficient
Verifying That an S3A Committer Was Used
Verifying that S3Guard is Enabled on a Bucket
Verifying the Impala dependency on Kudu
Versions
View application details
View audit details
View compaction progress
View Ranger reports
View transaction locks
View transactions
Viewing application logs
Viewing lineage
Viewing the API documentation
Views
Virtual machine options for HBase Shell
Web UI encryption
Web UI redaction
Web User Interface for Debugging
What's New
When Shuffles Do Not Occur
When to Add a Shuffle Transformation
When to use Atlas classifications for access control
Why HDFS data becomes unbalanced
Wildcards and variables in resource-based policies
WINDOW
WITH clause
Work preserving recovery for YARN components
Working with Amazon S3
Working with Atlas classifications
Working with Classifications and Labels
Working with S3 buckets in the same AWS region
Working with the Oozie server
Working with Third-party S3-compatible Object Stores
Working with versioned S3 buckets
Working with Zeppelin Notes
Write-ahead log garbage collection
Writes
Writing data to HBase
Writing to multiple tablets
Writing UDFs
Writing user-defined aggregate functions (UDAFs)
YARN
YARN
YARN ACL rules
YARN ACL syntax
YARN ACL types
YARN Admin ACLs
YARN Application ACLs
YARN Features
YARN resource allocation
YARN ResourceManager High Availability
YARN ResourceManager High Availability architecture
YARN Services API Examples
YARN tuning overview
YARN Unsupported Features
Zeppelin
ZooKeeper
ZooKeeper
ZooKeeper ACLs Best Practices
ZooKeeper ACLs Best Practices: Atlas
ZooKeeper ACLs Best Practices: HBase
ZooKeeper ACLs Best Practices: HDFS
ZooKeeper ACLs Best Practices: Oozie
ZooKeeper ACLs Best Practices: Ranger
ZooKeeper ACLs Best Practices: YARN
ZooKeeper ACLs Best Practices: ZooKeeper
ZooKeeper Authentication

«

Filter topics

Deleting in bulk

▶︎Using Apache Impala with Apache Kudu
1. Impala database containment model
Internal and external Impala tables
▼Using Impala to query Kudu tables

»

Using Apache Impala with Apache Kudu

Deleting in bulk

You can delete in bulk using the same approaches outlined in the Inserting in bulk topic.

Related information

Inserting in bulk

Parent topic: Using Impala to query Kudu tables

© 2019–2021 by Cloudera, Inc. All rights reserved.

This site uses cookies and related technologies, as described in our privacy policy, for purposes that may include site operation, analytics, enhanced user experience, or advertising. You may choose to consent to our use of these technologies, or

7.3.1
7.2
7.1.0
7.0