All Classes and Interfaces
Class
Description
This example demonstrates how to create, read and write to Caches with GridGain 9, JDBC and external database H2.
This code demonstrates the usage of the
JobExecution interface that allows to get job statuses and, for example, handle failures.This example demonstrates the usage of the basic client API without any fine-tuning.
Compute job for Batch Custom ML predictions.
Compute job for Custom ML predictions.
Defines the input structure for custom ML model inference.
CustomInputMarshaller<I extends org.gridgain.ml.model.MlJobParameters>
A standard Marshaller for all input types for ML.
Represents the output of a custom ML model inference.
Handles serialization and deserialization of lists of custom ML outputs.
A standard Marshaller for all list based output types for ML.
Custom translator for processing model input and output for custom ML inference.
Factory for creating instances of
CustomTranslator.This example demonstrates how to use the streaming API to catch both asynchronous errors during background streaming and immediate submission errors.
This example demonstrates how to use the streaming API to simulate a fraud detection process,
which typically involves intensive processing of each transaction using ML models.
This example demonstrates the usage of the basic client API without any fine-tuning.
This example demonstrates the usage of the basic client API with additional configuration parameters.
This example demonstrates the usage of the
KeyValueView API.This example demonstrates the usage of the
KeyValueView API with user-defined POJOs.Base utility class for running ML inference examples in GridGain.
This example demonstrates:
1.
Base class for ML examples with functions to
1.
This example demonstrates how to use the streaming API to how to implement a receiver that processes data containing customer and address information,
and updates two separate tables on the server.
This example demonstrates a usage of the PageMemory storage engine configured with a persistent data region.
Represents a Person entity with database mapping.
This example demonstrates the usage of the
RecordView API.This example demonstrates the usage of the
RecordView API with user-defined POJOs.This example demonstrates a usage of the RocksDB storage engine.
This example demonstrates how to use the streaming API to configure the data streamer, insert account records into the existing Accounts
table and then delete them.
Examples of using SQL API.
This example demonstrates the usage of the Apache Ignite JDBC driver.
This example demonstrates the usage of the
KeyValueView API.Custom receiver class that extracts data from the provided source and write it into two separate tables: Customers and Addresses
This example demonstrates a usage of the PageMemory storage engine configured with an in-memory data region.