Apache Ignite Release Notes
===========================

Apache Ignite In-Memory Data Fabric 2.4
---------------------------------------
Ignite:
* Introduced Baseline Affinity Topology
* Added ability to convert WAL to human-readable form
* Added support for uninterruptible writes for WAL and storage
* Local scan performance was improved up to 2 times in certain use-cases

Apache Ignite In-Memory Data Fabric 2.3
---------------------------------------
Ignite:
* Ability to enable persistence per data region.
* Default page size is changed to 4KB.
* Ability to enable and disable rebalancing per-node.
* Added methods for batch services deployment.
* Introduced cache start/stop order on cluster activation.
* EstimatedRebalancingFinishTime and RebalancingStartTime metrics are exposed through MXBean interface.
* Ability to (de)activate cluster via http-rest API.
* Added Ignite update notifier.
* Updated Lucene dependency to version 5.5.2.
* Added an option to disable MBeans.
* Added sorted and multithreaded checkpoint modes.
* Added calculation of fill factor memory metric in persistent mode.
* Added estimated time for rebalance start and completion to cache metrics.
* Added API to add binary metadata locally.
* Added write throttling during an ongoing checkpoint to avoid zero performance drops.
* Ability to convert WAL to human-redable form.
* Ability to handle CacheObject from DataRecord in standalone WAL iterator.
* Support for uninterruptable writes using AsyncFileIOFactory; enabled with -DIGNITE_USE_ASYNC_FILE_IO_FACTORY=true.
* Enhanced persistent store path resolving to not rely on automatically generated consistent ID.
* Pre-configure local event listeners with IgniteConfiguration.LocalEventListeners.
* Massive performance and stability improvements.

Ignite.NET:
* LINQ: Local collections joins support.
* LINQ: Regex support.

Ignite CPP:
* Added Compute::Broadcast method.
* Added Ignite::SetActive method.

SQL:
* Added sqlline utility to the build.
* CREATE TABLE: Added NOT NULL support.
* CREATE TABLE: Ability to specify cache, key type and value type names.
* CREATE TABLE: Added "WRAP_KEY" and "WRAP_VALUE" options to CREATE TABLE command.
* CREATE TABLE: Added DATA_REGION option.
* CREATE TABLE: Added WRITE_SYNCHRONIZATION_MODE option.
* ALTER TABLE: ADD COLUMN support.
* Added lazy query execution mode (SqlFieldsQuery.setLazy).
* Added QuerySqlField.inlineSize property.
* Added FieldsQueryCursor interface to get fields metadata for SqlFieldsQuery.
* Added QueryEntity(Class keyClass, Class valueClass) constructor.
* Improved LocalDate, LocalTime and LocalDateTime support for Java 8.
* Optimized memory consumption during query execution.
* Fixed BigInteger data type handling.

JDBC Driver:
* Batch update support.
* SQLSTATE error codes support.
* Added "enforceJoinOrder" flag to connection string.
* Added "skipReducerOnUpdate" flag.
* Thin driver: Allowed execution of multiple SQL statements in one command.
* Thin driver: Added metadata support.
* Thin driver: Added type conversions in accordance with specification.
* Thin driver: Added schema to connection string.
* Thin driver: Added Statement.closeOnCompletion() support.
* Appended UUID to thick driver's Ignite instance name to avoid collision with user-created instances.
* Fixed a bug in PreparedStatement not clearing query parameters after execution.

ODBC Driver:
* SQLSTATE error codes support.
* Support for BINARY and VARBINARY types.
* DML statement batching.
* SQL_ATTR_CONNECTION_DEAD connection attribute.
* SQLGetInfo for info types.
* Added "skipReducerOnUpdate" flag.
* SQLRowCount now returns number of affected rows for non-batch queries.
* SQLBindParameter do not unbind parameter if the ParameterValuePtr is NULL anymore.
* Fixed error on cursor closing before all the rows from the result fetched.

Machine Learning:
* Implemented K-means clustering algorithm optimized for distributed storages.
* Introduced sparse block distributed matrix.
* Initial BLAS implementation.
* Integration with BLAS via netlib.
* Added getRow() and getCol() methods to Matrix API.

Web Console:
* Improved DDL support.
* Added PK alias generation on Models screen.
* Added generation of QueryEntity.keyFields on model import from RDBMS.
* Added sanitize user on save.
* Added charts with throughput and latency metrics for cache operations.
* Added version to footer.
* Added "Lazy ResultSet" flag on Queries screen.
* Implemented refresh rate for Monitoring screen.
* Implemented cluster nodes log viewer.

Visor:
* Ability to keep connection opened in batch mode.
* Ability to activate/deactivate cluster.
* Improved cache statistics.
* Added missing configuration properties to "config" command.
* Fixed script execution after alert throttling interval.

Apache Ignite In-Memory Data Fabric 2.2
---------------------------------------
Ignite:
* Checkpointing algorithm optimized
* Default max memory size changed from 80% to 20%

Ignite CPP:
* Now possible to start node with persistent store
* Ignite.setActive method added to C++ API

Apache Ignite In-Memory Data Fabric 2.1
---------------------------------------
Ignite:
* Persistent cache store
* Added IgniteFuture.listenAsync() and IgniteFuture.chainAsync() mehtods
* Deprecated IgniteConfiguration.marshaller
* Updated Lucene dependency to version 5.5.2
* Machine learning: implemented K-means clusterization algorithm optimized for distributed storages
* SQL: CREATE TABLE and DROP TABLE commands support
* SQL: New thin JDBC driver
* SQL: Improved performance of certain queries, when affinity node can be calculated in advance
* SQL: Fixed return type of AVG() function
* SQL: BLOB type support added to thick JDBC driver
* SQL: Improved LocalDate, LocalTime and LocalDateTime support for Java 8
* SQL: Added FieldsQueryCursor interface to get fields metadata for SqlFieldsQuery
* ODBC: Implemented DML statement batching
* Massive performance and stability improvements

Ignite.NET:
* Automatic remote assembly loading
* NuGet-based standalone node deployment
* Added conditional data removeal via LINQ DeleteAll
* Added TimestampAttribute to control DateTime serialization mode
* Added local collections joins support to LINQ.

Ignite CPP:
* Added Compute::Call and Compute::Broadcast methods

Web Console:
* Implemented support for UNIQUE indexes for key fields on import model from RDBMS
* Added option to show full stack trace on Queries screen
* Added PK alias generation on Models screen.

Apache Ignite In-Memory Data Fabric 2.0
---------------------------------------
Ignite:
* Introduced new page memory architecture
* Machine Learning beta: distributed algebra support for dense and sparse data sets
* Reworked and simplified API for asynchronous operations
* Custom thread pool executors for compute tasks
* Removed CLOCK mode in ATOMIC cache
* Deprecated schema-import utility in favor of Web Console
* Integration with Spring Data
* Integration with Hibernate 5
* Integration with RocketMQ
* Integration with ZeroMQ
* SQL: CREATE INDEX and DROP INDEX commands
* SQL: Ability to execute queries over specific set of partitions
* SQL: Improved REPLICATED cache support
* SQL: Updated H2 version to 1.4.195
* SQL: Improved performance of MIN/MAX aggregate functions
* ODBC: Added Time data type support
* Massive performance improvements

Ignite.NET:
* Custom plugin API
* Generic cache store
* Binary types now can be registered dynamically
* LINQ: join, "contains" and DateTime property support

Ignite CPP:
* Implemented Cache::Invoke
* Added remote filters support to continuous queries

Web Console:
* Multi-cluster support
* Possibility to configure Kubernetes IP finder
* EnforceJoinOrder option on Queries screen

Apache Ignite In-Memory Data Fabric 1.9
---------------------------------------
Ignite:
* Added Data streamer mode for DML
* Added Discovery SPI Implementation for Ignite Kubernetes Pods
* SQL: Query can utilize multiple threads
* SQL: Improved distributed SQL support
* Benchmarking simplified and automated
* Fixed licenses generation during build
* ignite-spark module upgraded to Spark 2.0

Ignite.NET:
* DML support
* TransactionScope API for Ignite transactions support

Ignite CPP:
* DML support
* Implemented LoadCache
* ContinuousQuery support

Apache Ignite In-Memory Data Fabric 1.8
---------------------------------------
Ignite:
* SQL: Added DML operations support (INSERT, UPDATE, DELETE, MERGE)
* SQL: Improved DISTINCT keyword handling in aggregates
* Hadoop: Added MapR distribution support
* Visor: Improved SQL statistics
* Added Redis protocol support
* Added transactions deadlock detection
* Many stability and fault-tolerance fixes

Ignite.NET:
* ASP.NET session state store provider
* Entity Framework second level cache
* Custom loggers support: NLog, Apache log4Net

ODBC driver:
* Added DML operations support
* Added distributed joins support
* Added DSN support
* Performance improvements

Apache Ignite In-Memory Data Fabric 1.7
---------------------------------------
Ignite:
* Added distributed SQL JOIN.
* Node can be assigned as primary only after preloading is finished.
* Fixed CountDownLatch re-create issue.
* ODBC: Added decimal type support.
* Visor: Fixed data nodes calculation when node filter is set for cache.
* Many stability and fault-tolerance fixes.

Ignite.NET:
* Added ASP.NET Output Cache provider.
* Added ability to use .NET configuration in Apache.Ignite.exe.
* Added ability to implement custom affinity functions.
* Fixed a bug in IBinaryObjectBuilder causing type name to be lost.

Ignite CPP:
* Marshalling performance improvements.

Apache Ignite In-Memory Data Fabric 1.6
---------------------------------------
Ignite .NET:
* Added LINQ Provider for cache SQL queries
* Added native configuration mechanism (C#, app.config, web.config - instead of Spring XML)
* Added NuGet distribution
* Added AtomicSequence and AtomicReference data structures
* Binaries are now AnyCPU (instead of separate x64/x86)
* Java-based services can be called the same way as .NET service are called
* Added java-based continuous query filters
* Added automatic Java detection: no need for JAVA_HOME
* Added ability to use Java-based remote filters in continuous queries.

Ignite C++:
* Added Transactions API for C++ client.
* Added Date and Timestamp types implementation for C++ client.
* Simplified Autotools build process for C++ client.

Ignite:
* Added ability to get partition 'updateCntr' with continuous query public API.
* Added asynchronous execution of ContinuousQuery's remote filter and local listener.
* Added backup partitions storing to local store default behavior.
* Added cache deadlock detection.
* Added Cache Store implementation backed by Cassandra DB.
* Added method to get versioned cache entry.
* Added ODBC driver for Ignite.
* Added support for join timeout while registering local addresses with IP finder in TcpDiscoverySpi.
* Added support for JTA transactions via synchronization callback.
* Added Web Console for Ignite.
* Fixed a bug causing object deserialization when local store is configured for cache.
* Fixed a problem with incorrect classloader picked in OSGI environment.
* Fixed a race condition when evicted offheap data was not delivered to query engine leading to query timeout.
* Fixed an issue in ContinuousQueries that caused missing of notifications.
* Fixed background cache partition map exchange not to flood network.
* Fixed BinaryContext to honor custom loader set through IgniteConfiguration.
* Fixed BinaryObjectOffHeapImpl leak to public code.
* Fixed cluster stability with 500+ clients.
* Fixed continuous queries to send filter factory instead of filter.
* Fixed continuous query deployment in case originating node has left.
* Fixed issues with continuous query.
* Fixed deadlock in services deployment when Spring is used.
* Fixed discovery and node start procedure issues that may cause slowdowns during larger topologies start (>100 nodes).
* Fixed eviction policy notification if swap or off heap is enabled and an entry is not loaded during preloading.
* Fixed excessive thread stack usage in case of high contention on cache entries.
* Fixed execution of Splunk MapReduce jobs on top of Ignite MR.
* Fixed GridClosureProcessor internal closures to be deserialized by BinaryMarshaller.
* Fixed issue with AWS dependencies.
* Fixed java proxies deserialization with optimized marshaller.
* Fixed local store behavior at cross cache transactions.
* Fixed marshalling of Java collection and maps for BinaryMarshaller.
* Fixed memory leak in IgniteH2Indexing.
* Fixed NPE during rebalancing.
* Fixed NPE in GridMergeIndex.
* Fixed OOME when OFFHEAP_TIERED mode is used.
* Fixed potential thread starvation during cache rebalancing.
* Fixed race condition on load cache on changing topology.
* Fixed race in marshalling logic that could arise when several nodes are running on the same host.
* Fixed redeployment issues happened with ScanQueries filters.
* Fixed service proxy not to make remote call for methods declared in java.lang.Object.
* Fixed several ClassNotFoundException in OSGi environment.
* Fixed SKIP_STORE flag behavior for transaction entry.
* Fixed support for classes with equal simple name for binary marshaller.
* Fixed system caches not to use user-defined TransactionConfiguration.
* Fixed the issue when CacheStore was updated even if EntryProcessor didn't update an entry.
* Fixed thread safety for TcpDiscoveryMulticastIpFinder.
* Fixed unintentional deserialization of BinaryObjects in OFFHEAP mode with peer class loading enabled.
* Fixed UTF-16 surrogate pairs marshalling.
* Fixed value copying in entry processor with OptimizedMarshaller.
* Fixed web session clustering with WebLogic.
* Hadoop: fixed a bug causing exception during MR planning when input split file doesn't exist.
* IGFS: Added configuration flag to disable default path modes under "/ignite" folder.
* IGFS: Added pluggable factory interface for Hadoop FileSystem creation.
* IGFS: Fixed file properties when running over secondary file system.
* IGFS: Fixed issues with Kerberized HDFS.
* IGFS: Massive performance and stability fixes.
* Improved marshaller behavior during cluster topology change.
* Mesos integration: added possibility to load Ignite package from file system.
* Optimized cache 'get' operations on affinity node.
* Optimized memory usage on server nodes to allow more client connections.
* Passed update notifier flag to discovery data to be sure that all cluster nodes have the same notifier status as the first node.
* Performance optimization for transactions that do not acquire locks.
* ScanQueries over local partitions performance optimisation.
* Support of package-private implementations for Ignite Services.
* Supported Ignite Compute tasks cancellation for Ignite.NET.
* Visor CMD: Added ability to attach custom scripts to alerts.
* Web sessions: minor fix to prevent NullPointerException in some special case.
* Web sessions: user session classes are no longer needed on server nodes.
* A lot of stability and fault-tolerance fixes.

Apache Ignite In-Memory Data Fabric 1.5
---------------------------------------
* Ignite.NET: Initial Release.
* Ignite C++: Initial Release.
* Massive performance improvements for cache operations and SQL.
* Added new binary cache object marshalling implementation.
* Added IgniteSemaphore data structure.
* Added MQTT Streamer.
* Added Twitter Streamer.
* Added Ignite Sink (integration with Apache Flume).
* Added Apache Camel Streamer.
* Added OSGi support.
* Fixed optimistic serializable transactions: implemented "deadlock-free" locking algorithm.
* Fixed failover for continuous queries.
* Fixed compilation and runtime errors under OpenJDK and IBM JDK.
* Fixed Integer.size limitation for cache.
* Fixed and improved cache types configuration.
* Fixed cache rebalancing.
* Many stability and fault-tolerance fixes.
* Added example to demonstrate the usage of EntryProcessor.

Complete list of closed issues: https://issues.apache.org/jira/issues/?jql=project%20%3D%20IGNITE%20AND%20fixVersion%20%3D%201.5%20AND%20status%20%3D%20closed

Apache Ignite In-Memory Data Fabric 1.4
---------------------------------------
* Added SSL support to communication and discovery.
* Added support for log4j2.
* Added versioned entry to cache API.
* Added client node based JDBC driver implementation.
* Fixed consistency issue for custom events processing within discovery.
* Fixed race in cache swap/unswap logic.
* Fixed IGNITE_HOME resolution with JBoss.
* Fixed configuration file resolution on classpath.
* Fixed MBean registration for caches.
* Fixed near cache evictions with offheap.
* Fixed SQL queries group index logic.
* Fixed memory leak in partitioned transactional cache.
* Fixed auto-retries for cache operations in recoverable cases.
* Fixed affinity routing in compute grid.
* Many stability and fault-tolerance fixes.

Apache Ignite In-Memory Data Fabric 1.3
---------------------------------------

* Added auto-retries for cache operations in recoverable cases.
* Added integration with Apache YARN.
* Added auto detection and dropping of slow client nodes.
* Fixed several issues with JTA integration.
* Fixed several issues with Hibernate L2 cache.
* Fixed issue with GAR files in source release.
* Stability fixes for TCP discovery SPI.
* Stability fixes for onheap and offheap SQL queries.
* Bug fixes in In-Memory Accelerator For Apache Hadoop.
* Many stability and fault-tolerance fixes.

Apache Ignite In-Memory Data Fabric 1.2
---------------------------------------

* Added client mode to TCP discovery SPI.
* Added memory based evictions.
* Added integration with Apache Spark.
* Added integration with Apache Mesos.
* Added IgniteCache.getAllOutTx() method.
* Added serializable cache store factories for built-in stores.
* Bug fixes in In-Memory Accelerator For Apache Hadoop.
* Many stability and fault-tolerance fixes.

Apache Ignite In-Memory Data Fabric 1.1
---------------------------------------

* Added Google Compute Engine TCP discovery IP finder.
* Added generic cloud TCP discovery IP finder (based on jclouds).
* Added SortedEvictionPolicy.
* Added chaining for IgniteConfiguration and CacheConfiguration setters.
* Added AffinityUuid class for easier generation of unique collocated keys.
* Added support for cache configuration templates.
* Added support for (*) star notation in cache names.
* Added "collocated" mode for SQL queries.
* Improved expiry policy handling (TTL based evictions) to avoid thrashing.
* Fixed job continuations.
* Fixed compilation and runtime with OpenJDK 7 & 8
* Fixed SQL Union support
* Fixed Word-Count streaming example to produce better results.
* Removed edtFTPj scanner from URI deployment due to licensing issues.
* Made deployment scanners for URI-based deployment pluggable.
* Many stability and fault-tolerance fixes.

Apache Ignite In-Memory Data Fabric 1.0
---------------------------------------

* Simplified query API.
* Added automatic aggregation, grouping, and sorting support to SQL queries.
* Added dynamic caches, i.e. ability to start and stop caches during runtime.
* Changed IgniteDataLoader to IgniteDataStreamer.
* Added automatic transformation support to streaming.
* Removed old streaming APIs in favor of new IgniteDataStreamer.
* Added many examples using Java8 lambdas and streams.
* Added new streaming examples based on new streaming and SQL querying APIs.
* Added automatic schema-import demo under examples.
* Improved javadoc documentation.
* Added ability to automatically exclude LGPL optional dependencies during build.


Apache Ignite In-Memory Data Fabric 1.0 RC3
-------------------------------------------

This is the first release of Apache Ignite project. The source code in large part is based
on the 7 year old GridGain In-Memory Data Fabric, open source edition, v. 6.6.2, which was
donated to Apache Software Foundation in September 2014.

The main feature set of Ignite In-Memory Data Fabric includes:
* Advanced Clustering
* Compute Grid
* Data Grid
* Service Grid
* IGFS - Ignite File System
* Distributed Data Structures
* Distributed Messaging
* Distributed Events
* Streaming & CEP