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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

Bulk Loading

https://phoenix.apache.org/docs/features/bulk-loading
However, due to how Apache Commons CLI parses command-line options (CLI-275), pass the argument as \"\"tablename\"\" instead of just "tablename" for CsvBulkLoadTool

Tracing

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

Concepts, setup, consistency guarantees, and tooling for Phoenix

https://phoenix.apache.org/docs/features/secondary-indexes
my_table (v) ASYNC The map reduce job that populates the index table must be kicked off separately through the HBase command line like this: ${HBASE_HOME}/bin/hbase org

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

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

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

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

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

Salted Tables

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

Execute the following statements when Sqlline connects:

https://phoenix.apache.org/docs/faq
So if you stored integers by HBase native API and want to access them by Phoenix, make sure that all your data types are UNSIGNED types

High Availability

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

Discuss your changes on the dev mailing list

https://phoenix.apache.org/docs/contributing
All new source files should include the Apache license header

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

SQL Grammar

https://phoenix.apache.org/docs/grammar
) AS SELECT * FROM existingTableRef WHERE expression tableOptions Creates a new view over an existing HBase or Phoenix table

Atomic Upsert

https://phoenix.apache.org/docs/features/atomic-upsert
The CURRENT_SCN property may not be set on connection when this clause is used as HBase does not handle atomicity unless the latest value is being updated

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

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

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

compiling your SQL queries to native HBase scans

https://phoenix.apache.org/docs/quick-start
Check out my presentation for various existing and to-be-done Phoenix features to support your favorite HBase trick

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

ROW_SIZE() and RAW_ROW_SIZE()

https://phoenix.apache.org/docs/features/row-size
ROW_SIZE() and RAW_ROW_SIZE() Built-in SQL functions that return the on-the-wire HBase byte footprint of a row — useful for hot-row diagnosis, capacity planning, and finding outliers directly from SQL

Historical Phoenix performance comparisons and feature-level

https://phoenix.apache.org/docs/fundamentals/performance
In addition, to minimize startup costs, Phoenix uses native HBase APIs rather than going through the MapReduce framework

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

Use TABLESAMPLE in Phoenix for Bernoulli-style sampling, with

https://phoenix.apache.org/docs/features/table-sampling
Given a sampling rate, it leverages Phoenix statistics and HBase region distribution to perform table sampling

Segment Scan

https://phoenix.apache.org/docs/features/segment-scan
; Phoenix translates these predicates into the underlying HBase scan bounds for you, so a worker pool can stay in plain SQL — each worker runs its own query against one segment, in parallel