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https://phoenix.apache.org/llms-full.txt
Currently, it supports HBase integration through Apache Phoenix, and can be extended with other implementations
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/user-defined-functions
Add the following parameters to hbase-site
https://phoenix.apache.org/docs/features/bulk-loading
The first option can be done by running:
sudo -u hbase hadoop jar phoenix-<version>-client
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/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/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/
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/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/installation
Download and expand the latest phoenix-hbase-[hbase
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
https://phoenix.apache.org/docs/features/high-availability
enabledfalse — set true in the source cluster's hbase-site
https://phoenix.apache.org/docs/grammar
) AS SELECT * FROM existingTableRef WHERE expression tableOptions
Creates a new view over an existing HBase or Phoenix table
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/features/metrics
enabled to true/false in the client side 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/row-timestamp-column
Using this time range information, HBase can skip store files that do not fall in the target time range, which significantly improves performance, especially for tail-end data queries
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
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
https://phoenix.apache.org/docs/features/statistics-collection
can occur in Phoenix versions earlier than 4
https://phoenix.apache.org/docs/explain-plan
ROUND ROBIN — when the query doesn't contain ORDER BY and therefore the rows can be returned in any order, ROUND ROBIN order maximizes parallelization on the client side
https://phoenix.apache.org/docs/features/views
Define updatable and read-only Phoenix views over shared HBase tables, including indexing behavior and limitations
https://phoenix.apache.org/docs/features/namespace-mapping
0 onward, users can map Phoenix schemas to HBase namespaces so that any table created with a schema is created in the corresponding HBase namespace
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/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/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/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
https://phoenix.apache.org/docs/features/dynamic-columns
Define and query late-bound dynamic columns in Phoenix when full schema cannot be declared upfront
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