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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
https://phoenix.apache.org/docs/features/user-defined-functions
Add the following parameters to hbase-site
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
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:
${HBASE_HOME}/bin/hbase org
https://phoenix.apache.org/docs
HBase as its backing store
Apache Phoenix is fully integrated with other Hadoop products such as Spark, Hive, Pig, Flume, and MapReduce
https://phoenix.apache.org/
Apache Phoenix, Phoenix, Apache, the Apache Phoenix logo and the ASF logo are either registered trademarks or trademarks of the Apache Software Foundation
https://phoenix.apache.org/docs/features/bulk-loading
You should use:
HADOOP_CLASSPATH=$(hbase mapredcp):/path/to/hbase/conf hadoop jar phoenix-<version>-client
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
https://phoenix.apache.org/docs/features/transactions
Above and beyond the row-level transactional semantics of HBase, Phoenix adds cross row and cross table transaction support with full ACID semantics by integrating with Tephra, now an Apache incubator project
https://phoenix.apache.org/docs/features/high-availability
enabledfalse — set true in the source cluster's hbase-site
https://phoenix.apache.org/docs/installation
Download and expand the latest phoenix-hbase-[hbase
https://phoenix.apache.org/docs/features/metrics
enabled to true/false in the client side hbase-site
https://phoenix.apache.org/docs/grammar
Otherwise, data is buffered on the client and, if auto commit is on, committed in row batches as specified by the UpsertBatchSize connection property (or the phoenix
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
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
https://phoenix.apache.org/docs/contributing
If you're unsure whether certain behavior in Phoenix is a bug, please send a mail to the user mailing list to check
https://phoenix.apache.org/docs/features/storage-formats
These defaults can be overridden by setting the following config value in hbase-site
https://phoenix.apache.org/salted.html
rowKeyOrderSaltedTable=true in hbase-site
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
https://phoenix.apache.org/docs/features/views
The standard SQL view syntax (with some limitations) is now supported by Phoenix to enable multiple virtual tables to all share the same underlying physical HBase table
https://phoenix.apache.org/docs/features/change-data-capture
PARTITION_END_TIME (or now() while live)
ORDER BY PHOENIX_ROW_TIMESTAMP() ASC;
Re-poll the topology periodically
https://phoenix.apache.org/docs/features/table-sampling
Given a sampling rate, it leverages Phoenix statistics and HBase region distribution to perform table sampling
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
https://phoenix.apache.org/docs/features/namespace-mapping
Enable Phoenix schema-to-namespace mapping in HBase, including configuration, migration, and behavior by table type
https://phoenix.apache.org/docs/features/atomic-upsert
ON DUPLICATE KEY for atomic row-level updates in Phoenix, with examples and limitations
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
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
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
https://phoenix.apache.org/docs/features/statistics-collection
How Phoenix collects and uses guidepost statistics for query parallelization, with commands and configuration
https://phoenix.apache.org/docs/features/skip-scan
How Phoenix Skip Scan uses key-range hints to efficiently skip non-matching row-key regions