| Apache Ignite Release Notes |
| =========================== |
| |
| Apache Ignite In-Memory Data Fabric 2.6 |
| --------------------------------------- |
| Ignite: |
| * Fixed incorrect calculation of client affinity assignment with baseline. |
| * Fixed incorrect calculation of switch segment record in WAL. |
| * Fixed JVM crush during in-progress eviction and cache group stop. |
| |
| REST: |
| * Fixed serialization of BinaryObjects to JSON. |
| |
| Apache Ignite In-Memory Data Fabric 2.5 |
| --------------------------------------- |
| Ignite: |
| * Implemented Zookeeper discovery SPI. |
| * Added Java thin client. |
| * Added continuous queries with transformers. |
| * Implemented general approach for critical failures handling. |
| * Added the new method IgniteMXBean.getCurrentCoordinatorFormatted() which displays formatted information about current coordiantor. |
| * Added partition update counters verification on partition map exchange. |
| * Added ability to disable WAL during initial data rebalancing. |
| * Added additional data storage metrics |
| * Added additional transactional metrics. |
| * Added DEB package and improved RPM package. |
| * Added information about fields serialization/deserialization errors in BinaryMarshaller. |
| * Added configurable automatic rollback timeout for pending transactions preventing partition map exchange to complete. |
| * Added preventing infinite iterations of corrupted B+Tree. New IGNITE_BPLUS_TREE_LOCK_RETRIES property was added, default value is Integer.MAX_VALUE. |
| * Implemented handling of broken segment in WAL compaction. |
| * Fixed affinity to always choose primary node from one of the owners when persistence is enabled. |
| * Partition eviction now does not block exchange. |
| * Fixed the issue that prevented rebalancing on a new baseline node join. |
| * Fixed potential deadlock during preloading. |
| * Fixed exception handling in IsolatedUpdater of DataStreamer. |
| * Fixed the issue when ComputeTaskFuture.get() threw a trimmed exception chain: now full exception chain is propagated to the caller; the exception thrown from IgniteCompute methods may now differ from the previous behavior. |
| * Fixed null value being passed to entry processor when such entry actually exists. |
| * Fixed problem when cluster could not survive after IgniteOutOfMemoryException. |
| * Fixed NullPointerException on batch atomic cache operations with cache store. |
| * Fixed bug with ScanQuery transformer which applies to the first result page only. |
| * Fixed hanging of node stopping in case when node is invalidated and persistence is enabled. |
| * BinaryMetadata exchange is triggered only if there are actual changes in BinaryMetadata. |
| * Fixed contention while executing parallel atomic single get operations. |
| * Fixed cache metadata corruption during concurrent checkpoint and cache destroy. |
| * Implemented additional synchronization for correct partition counters update on partition map exchange. |
| * Optimized checkpoint lock acquisition for demander thread. |
| * Destroyed caches with enabled persistence now will not survive grid restart. |
| * Nodes with incompatible SQL metadata will not be able to join grid. This fixes known case for index corruption. |
| * Fixed fillFactor memory metric value. |
| * Fixed bug with checkpoint buffer overflow with enabled throttling. |
| * Fixed crash recovery problem when index tree could reference to removed data pages. |
| * Fixed error during cluster initialization with partially acceptable WAL archive. |
| * Fixed issue with local partitions size changing inside checkpoint write lock. |
| * Fixed LOG_ONLY and BACKGROUND modes to be power-crash resistant. |
| * Fixed incorrect finishing of implicit transactions on unstable topology. |
| * Fixed incorrect mapping of smallint Cassandra type. |
| * Introduced log markers support to IgniteLogger and standard DEV_ONLY marker. |
| * Changed Log4J and Log4J2 adapters to update active logger configuration when configuration source file is modified. |
| * Fixed sqlline.sh script to use Java from JAVA_HOME. |
| * Improved Docker image build. |
| * Default and recommended JVM options are updated. |
| |
| Ignite .Net: |
| * Added SSL configuration for node-to-node links. |
| * Added dynamic service proxies. |
| * Propagated query metrics to ICache.GetQueryMetrics() and ICache.ResetQueryMetrics(). |
| * DML update via LINQ. |
| * Fixed hang caused by mishandled exception during custom cache store deserialization. |
| * Fixed GroupBy and Where issues in LINQ. |
| * .Net thin client SSL support. |
| |
| Ignite C++: |
| * Fixed bug with LocalSize cache method. |
| |
| SQL: |
| * Implemented COPY command for fast data load. |
| * Added support of authorization for CREATE TABLE and DROP TABLE commands. |
| * Improved deadlock handling in DML. |
| * Added IGNITE_SQL_FORCE_LAZY_RESULT_SET option to force all SQL queries on node using lazy result set. |
| * Fixed SQL query hang if cluster contains nodes not in baseline. |
| |
| JDBC: |
| * Added SSL support. |
| * Added authentication. |
| * Added streaming mode to thin driver. |
| * Semicolon now can be used as delimiter for properties in URL string. |
| * Changed default socket buffer size to 64Kb in thin driver. |
| * Added FQDN to thin client in order to support multiple IPs for connection establishment. |
| |
| ODBC: |
| * Added SSL support. |
| * Implemented username/password authentication. |
| * Added support of multiple addresses in connection string. |
| * Added support for SQL_ATTR_LOGIN_TIMEOUT. |
| |
| Web Console: |
| * Added support for persistence in demo mode. |
| * Configuration screen is reworked to new modern design with improved usability. |
| * Implemented support for comma-separated list of node URIs. |
| * Fixed Docker file generation. |
| * Fixed code generation for large numbers in configuration params. |
| * Fixed demo for non-collocated joins. |
| * Fixed enum values decoding for SQL queries. |
| * Upgraded build to use Webpack 4. |
| |
| REST: |
| * Added AUTHENTICATE command. |
| * Added support for new authentication API. |
| * Implemented possibility to get values from cache inserted via API or SQL. |
| * Enhanced GET_OR_CREATE_CACHE command with optional "templateName", "backups", "cacheGroup", "dataRegion" and "writeSynchronizationMode" options. |
| * Added support of Java built-in types (boolean, int, long, ..., UUID) for put/get operations. |
| |
| Visor: |
| * Added "cache -slp" and "cache -rlp" commands to show and reset lost partitions for specified cache. |
| * Added scan queries of near cache support. |
| |
| Control utility: |
| * Added utilities to control.sh script to display cache info. |
| * Added new tools (control.sh --tx, TransactionsMXBean) to view active transactions and ability to kill them . |
| * Added confirmation on dangerous operations. |
| * Fixed NullPointerException in case of empty base line and not active cluster. |
| * Fixed timeout on changing baseline in control.sh |
| |
| ML: |
| * Implemented framework for genetic algorithms over Apache Ignite caches. |
| * Implemented LSQR-based linear regression. |
| * Implemented Linear SVM for binary classification. |
| * Implemented distributed version of SVM (support vector machine) algoritm. |
| |
| Apache Ignite In-Memory Data Fabric 2.4 |
| --------------------------------------- |
| Ignite: |
| * Introduced Baseline Affinity Topology |
| * Ability to disable WAL for cache in runtime through IgniteCluster API or ALTER TABLE command |
| * Added ability to convert WAL to human-readable form |
| * Ability to enable/disable JDBC, ODBC and thin client endpoints |
| * Project moved to Java 8 |
| * Java 7 is no longer supported |
| * Apache Ignite can be run on Java 9 |
| * Introduced Apache Ignite packaging with RPM |
| * Spark Data Frames support |
| * Added integration with Spring 3.x |
| * Added handler to stop node when IO error is encountered |
| * EvictionPolicyFactory support added to CacheConfiguration |
| * Added JMX metrics for memory regions |
| * Added detailed memory consumption on start and OOM reporting |
| * Added custom thread pools monitoring |
| * Support Ignite MR in Kerberized environment without IGFS |
| * S3 IP finder: support server side encryption and bucket endpoint configuration |
| * Multiple fixes and performance optimizations |
| |
| Ignite.NET: |
| * Thin Client initial release |
| * .NET Core / Linux / macOS support |
| * Mono platform support |
| * Removed C++ JNI layer |
| |
| SQL: |
| * Added DEFAULT support to CREATE TABLE command |
| * Added ALTER TABLE DROP COLUMN support |
| * Added INLINE_SIZE option to CREATE INDEX command |
| * Added PARALLEL option to CREATE INDEX command |
| * Added optional on-heap row cache |
| * INSERT command now can be executed without explicit column names (INSERT INTO table VALUES ...) |
| * Allowed multiple caches to share the same schema |
| * Added support for Java 8 Date and Time API |
| * Added "notNull" property to QuerySqlField annotation |
| * Improved COUNT(*) performance |
| * Fixed a problem causing an exception in certain nodes do not have primary partitions for REPLICATED cache |
| * Fixed per-thread H2 connection leak. |
| * Fixed partition exchange hang due to SQL query running inside a transaction. |
| |
| JDBC Driver: |
| * Optimized batched operations processing |
| |
| ODBC Driver: |
| * Added support of multiple statements execution with one call |
| * Added support of SQL_ATTR_CONNECTION_TIMEOUT |
| * Added support of SQL_ATTR_QUERY_TIMEOUT |
| * Optimized batched operations processing |
| * Proper handling of ungraceful TCP disconnects (keep-alive connection) |
| * Fixed error preventing close of executed DML statement |
| * Fixed table names returned by SQLTables for DDL-created tables |
| |
| Machine Learning: |
| * Implemented Fuzzy c-means algorithm |
| * Implemented gradient descent for OLS Linear Regression |
| * Implemented K nearest neighbor algorithm |
| * Introduced API for datasets |
| * Introduced API for ML model and trainers |
| * Introduced common mechanism for group training of models |
| * Added distributed version of multilayer perceptron |
| * Added local version of multilayer perceptron |
| * Added basic import/export functionality for ml models |
| * Added decision tree algorithm |
| * Performance optimizations for distributed operations |
| |
| Web Console: |
| * Implemented component for cluster selection and activation |
| * Implemented support for multiple statements on Queries screen |
| * Implemented progress indication for 'execute', 'scan' and 'export' actions on Queries screen |
| * Added support for ClientConnectorConfiguration |
| * Added several SQL examples on Queries screen |
| * Added "Connected clusters" component in header |
| * Added support for custom SMTP server configuration |
| * Added detection of CSV separator based on browser locale |
| * Added "Copy to clipboard" action on Queries screen |
| * Added duration and node ID in results header and 'Show query' modal |
| * Improved support for binary JDBC types on import from RDBMS |
| * Fixed Web Console under IE11 |
| * Fixed configuration generation for imported model in case of Oracle NUMBER(5) data type |
| * Fixed output of big numbers in SQL query results |
| |
| Visor: |
| * Added "-quiet" flag for batch mode |
| * Added ability to start cache rebalance |
| * Added output of data region metrics to "node" command |
| * Added dialog to put/get/remove values to/from cache for simple key types |
| * Show valid message for caches when cluster is inactive |
| * Fixed 'cache -a' in case of node filter |
| * Fixed reading last command line in batch mode |
| * Updated eviction policy factory in configs |
| |
| 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 |
