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Showing content from https://mariadb.com/docs/server/server-usage/storage-engines/spider/spider-feature-matrix below:

Spider Feature Matrix | MariaDB Documentation

Spider Feature Matrix | MariaDB Documentation
  1. Server Usage
  2. Storage Engines
  3. Spider
Spider Feature Matrix

Not complete yet - still being updated

F() Federation only , P()partioning only . Spider column is for SpiderForMySQL found on the Spider web sIte.

Clustering and High Availability

Commit, Rollback transactions on multiple backend

Multiplexing to a number of replicas using xa protocol 2PC

Split brain resolution based on a majority decision, failed node is remove from the list of replicas

Enable a failed backend to re enter the cluster transparently

Synchronize DDL to backend, table modification, schema changes

Synchronize DDL to other Spider

GTID tracking per table on XA error

Covered by generic SQL test case

MariaDB and MySQL database backend

Oracle database backend, if build from source against the client library 'ORACLE_HOME'

Engine Condition Pushdown

Concurrent partition scan

HANDLER backend propagation

HANDLER backend translation from SQL

HANDLER OPEN cache per connection

HANDLER use prepared statement

HANDLER_SOCKET protocol backend propagation

HANDLER_SOCKET backend translation from SQL

Map reduce for ORDER BY ... LIMIT

Map reduce for MAX & MIN & SUM

Map reduce for some GROUP BY

Batch multiple WRITES in auto commit to reduce network round trip

Relaxing backend consistency

Configuration at table and partition level, settings can change per data collection

Configurable empty result set on errors. For API that does not have transactions replay

Query Cache tuning per table of the on remote backend

Index Hint per table imposed on remote backend

SSL connections to remote backend connections

Table definition discovery from remote backend

Direct SQL execution to backend via UDF

Table re synchronization between backends via UDF

Maintain Index and Table Statistics of remote backends

Can use Independent Index and Table Statistics

Maintain local or remote table increments

LOAD DATA INFILE translate to bulk inserting

Performance Schema Probes

Load Balance Reads to replicate weight control

Fine tuning tcp timeout, connections retry

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