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com/apache/phoenix/blob/master/phoenix-core/src/main/java/org/apache/phoenix/trace/TraceReader
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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/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
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
Phoenix leverages Cloudera's HTrace library to integrate with HBase tracing utilities
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:
${HBASE_HOME}/bin/hbase org
https://phoenix.apache.org/docs/features/bulk-loading
You should use:
HADOOP_CLASSPATH=$(hbase mapredcp):/path/to/hbase/conf hadoop jar phoenix-<version>-client
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/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/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/faq
COM;keytab=/etc/security/keytabs/phoenix
https://phoenix.apache.org/docs/contributing
All new source files should include the Apache license header
https://phoenix.apache.org/docs/features/metrics
enabled to true/false in the client side hbase-site
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/grammar
) AS SELECT * FROM existingTableRef WHERE expression tableOptions
Creates a new view over an existing HBase or Phoenix table
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
Row Timestamp Column
Map HBase row timestamps to a Phoenix primary-key column and use ROW_TIMESTAMP in table design and upserts
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/views
Define updatable and read-only Phoenix views over shared HBase tables, including indexing behavior and limitations
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
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/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/fundamentals/performance
In addition, to minimize startup costs, Phoenix uses native HBase APIs rather than going through the MapReduce framework
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/atomic-upsert
ON DUPLICATE KEY for atomic row-level updates in Phoenix, with examples and limitations
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/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