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After adding these settings to your hbase-site
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# Phoenix Omid Transaction Manager (/docs/addons/phoenix-omid

https://phoenix.apache.org/llms-full.txt
# Phoenix ORM library (/docs/addons/phoenix-orm-library) PHO is an Object Relational Mapping (ORM) library for building and executing queries on HBase using Apache Phoenix

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

Concepts, setup, consistency guarantees, and tooling for Phoenix

https://phoenix.apache.org/docs/features/secondary-indexes
At read time, Phoenix will select the index table to use that will produce the fastest query time and directly scan it just like any other HBase table

Bulk Loading

https://phoenix.apache.org/docs/features/bulk-loading
To load CSV data, provide connection information for your HBase cluster, the target table name, and one or more CSV file paths

Tracing

https://phoenix.apache.org/docs/features/tracing
Phoenix leverages Cloudera's HTrace library to integrate with HBase tracing utilities

Apache PhoenixApache Phoenix

https://phoenix.apache.org/
1 SQL Support Phoenix takes your SQL query, compiles it into HBase scans, and orchestrates execution to produce JDBC result sets

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

Execute the following statements when Sqlline connects:

https://phoenix.apache.org/docs/faq
COM;keytab=/etc/security/keytabs/phoenix

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

SQL Grammar

https://phoenix.apache.org/docs/grammar
Example CREATE FUNCTION my_reverse(varchar) returns varchar as 'com

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

Discuss your changes on the dev mailing list

https://phoenix.apache.org/docs/contributing
Note that the instructions below are for the main Phoenix project

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

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

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

Atomic Upsert

https://phoenix.apache.org/docs/features/atomic-upsert
Java applications using the Phoenix thick JDBC client can drive the same atomic-return semantics directly through typed methods on PhoenixStatement and PhoenixPreparedStatement, without putting RETURNING * in the SQL: executeAtomicUpdateReturnRow — returns the row state after the mutation (or the unchanged row when

Row Timestamp Column

https://phoenix.apache.org/docs/features/row-timestamp-column
Row Timestamp Column Map HBase row timestamps to a Phoenix primary-key column and use ROW_TIMESTAMP in table design and upserts

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

INTEGER

https://phoenix.apache.org/docs/datatypes
The purpose of this type is to map to existing HBase data that was serialized using this HBase utility method

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

https://phoenix.apache.org/docs/features/views
Define updatable and read-only Phoenix views over shared HBase tables, including indexing behavior and limitations

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

View TTL

https://phoenix.apache.org/docs/features/view-ttl
A Phoenix view is a logical table that shares a single physical HBase table with its sibling views

Define and query late-bound dynamic columns in Phoenix when full schema

https://phoenix.apache.org/docs/features/dynamic-columns
Define and query late-bound dynamic columns in Phoenix when full schema cannot be declared upfront

TTL

https://phoenix.apache.org/docs/features/ttl
TTL Phoenix TTL flavors (time-based, view, conditional) and the IS_STRICT_TTL property that controls visibility of expired rows

Express row expiration as a SQL boolean expression evaluated against the

https://phoenix.apache.org/docs/features/conditional-ttl
Phoenix compaction: expired rows are physically removed by Phoenix's compaction during HBase region compactions

Change Data Capture (CDC)

https://phoenix.apache.org/docs/features/change-data-capture
Change Data Capture (CDC) Query row-level change events on a Phoenix table using standard SQL — pull pre/post images and change deltas with bounded, resumable reads

All the HBase range queries that will be executed

https://phoenix.apache.org/docs/explain-plan
When stats collection is not enabled or if for some reason Phoenix cannot provide the estimate information, the columns return null