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For example, the `jdbc:phoenix::::principal:/home/user/keytab` URL can be used to specify the kerberos principal and keytab, while using the default connection specified in hbase-site
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# Phoenix Omid Transaction Manager (/docs/addons/phoenix-omid

https://phoenix.apache.org/llms-full.txt
Currently, it supports HBase integration through Apache Phoenix, and can be extended with other implementations

The Phoenix Query Server provides an alternative means for interaction

https://phoenix.apache.org/docs/features/query-server
Metrics can be filtered based on certain tags, which can be configured by the property specified in hbase-site

Create, deploy, and manage custom Phoenix UDFs with configuration

https://phoenix.apache.org/docs/features/user-defined-functions
Add the following parameters to hbase-site

OLTP and operational analytics for Apache Hadoop

https://phoenix.apache.org/docs
HBase as its backing store Apache Phoenix is fully integrated with other Hadoop products such as Spark, Hive, Pig, Flume, and MapReduce

Bulk Loading

https://phoenix.apache.org/docs/features/bulk-loading
The first option can be done by running: sudo -u hbase hadoop jar phoenix-<version>-client

Tracing

https://phoenix.apache.org/docs/features/tracing
A default HBase deployment already includes a Metrics2 configuration, so Phoenix Metrics2 config can either replace the existing file (if you do not have custom settings) or be merged into your existing Metrics2 configuration file

Concepts, setup, consistency guarantees, and tooling for Phoenix

https://phoenix.apache.org/docs/features/secondary-indexes
Concepts, setup, consistency guarantees, and tooling for Phoenix secondary indexes

Apache PhoenixApache Phoenix

https://phoenix.apache.org/
Apache Phoenix, Phoenix, Apache, the Apache Phoenix logo and the ASF logo are either registered trademarks or trademarks of the Apache Software Foundation

Configure and use transactional tables in Phoenix with Tephra, including

https://phoenix.apache.org/docs/features/transactions
Set up a system to use transactions in Phoenix with the following steps: Add the following config to your client-side hbase-site

Request-level and global Phoenix client metrics, with practical usage

https://phoenix.apache.org/docs/features/metrics
enabled to true/false in the client side hbase-site

Configure Phoenix column mapping and immutable storage encoding for

https://phoenix.apache.org/docs/features/storage-formats
These defaults can be overridden by setting the following config value in hbase-site

High Availability

https://phoenix.apache.org/docs/features/high-availability
enabledfalse — set true in the source cluster's hbase-site

Salted Tables

https://phoenix.apache.org/salted.html
rowKeyOrderSaltedTable=true in hbase-site

Download and expand the latest phoenix-hbase-[hbase.version]-[phoenix.

https://phoenix.apache.org/docs/installation
Download and expand the latest phoenix-hbase-[hbase

Use JDBC ARRAY columns in Phoenix, including DDL, inserts, indexing

https://phoenix.apache.org/docs/array-type
Use JDBC ARRAY columns in Phoenix, including DDL, inserts, indexing syntax, and built-in array functions

Discuss your changes on the dev mailing list

https://phoenix.apache.org/docs/contributing
Eclipse code formatting settings and import order settings (which can also be imported into Intellij IDEA) are available in the dev directory of the Phoenix codebase

PhoenixSyncTable Tool

https://phoenix.apache.org/docs/features/phoenix-sync-table
PhoenixSyncTable Tool Detect data divergence between a source and a target Phoenix table across two HBase clusters via a chunked hash comparison driven by MapReduce

SQL Functions

https://phoenix.apache.org/docs/functions
Please see the Data Type reference guide about how Apache Phoenix presently defines the DATE datatype

Execute the following statements when Sqlline connects:

https://phoenix.apache.org/docs/faq
getConnection("jdbc:phoenix:[zookeeper quorum hosts]"); stmt = con

SQL Grammar

https://phoenix.apache.org/docs/grammar
Use the ON DUPLICATE KEY clause (available in Phoenix 4

How Phoenix collects and uses guidepost statistics for query

https://phoenix.apache.org/docs/features/statistics-collection
How Phoenix collects and uses guidepost statistics for query parallelization, with commands and configuration

Define updatable and read-only Phoenix views over shared HBase tables

https://phoenix.apache.org/docs/features/views
Updates made through the underlying TABLE or the parent VIEW will not be reflected in the index (PHOENIX-1499)

PHOENIX_ROW_TIMESTAMP()

https://phoenix.apache.org/docs/features/phoenix-row-timestamp
PHOENIX_ROW_TIMESTAMP() Read the per-row last-modified timestamp Phoenix maintains automatically — usable in projections, predicates, and indexes for fast time-bounded reads

Enable Phoenix schema-to-namespace mapping in HBase, including

https://phoenix.apache.org/docs/features/namespace-mapping
Enable Phoenix schema-to-namespace mapping in HBase, including configuration, migration, and behavior by table type

Phoenix join support, join execution strategies, optimization techniques

https://phoenix.apache.org/docs/joins
Phoenix join support, join execution strategies, optimization techniques, and configuration for hash and sort-merge joins

TTL

https://phoenix.apache.org/docs/features/ttl
Phoenix supports per-row time-to-live (TTL) so that rows can be expired and removed without an application-issued DELETE

Use TABLESAMPLE in Phoenix for Bernoulli-style sampling, with

https://phoenix.apache.org/docs/features/table-sampling
Use TABLESAMPLE in Phoenix for Bernoulli-style sampling, with performance notes, repeatability behavior, and tuning guidance

Phoenix supports standard SQL constructs to enable paged queries:

https://phoenix.apache.org/docs/features/paged-queries
If the columns you supply in your row value constructor match in order the columns from your primary key (or from a secondary index), then Phoenix will be able to turn the row value constructor expression into the start row of your scan

Use IN/EXISTS/comparison subqueries, correlated subqueries, row

https://phoenix.apache.org/docs/subqueries
Region); Phoenix optimizes such queries by rewriting them into equivalent join queries so that the inner query only needs to be executed once instead of once per outer row

Eventually Consistent Global Indexes

https://phoenix.apache.org/docs/features/eventually-consistent-indexes
An eventually consistent global index behaves like a regular Phoenix global index at the SQL level — same DDL, same INCLUDE, same query planning — but Phoenix maintains it asynchronously instead of on the synchronous write path