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The AvroBase interface attempts to abstract away the details of storing data within key/value stores by layering
a simple, broadly applicable, API on top of them along with an evolvable data description format for storing
the values within the key-value store. The API consists of a small number of verbs:
public interface AvroBase<T extends SpecificRecord, K> {
Row<T, K> get(K row) throws AvroBaseException;
K create(T value) throws AvroBaseException;
void put(K row, T value) throws AvroBaseException;
boolean put(K row, T value, long version) throws AvroBaseException;
void delete(K row) throws AvroBaseException;
Iterable<Row<T, K>> scan(K startRow, K stopRow) throws AvroBaseException;
Iterable<Row<T, K>> search(String query, int start, int rows) throws AvroBaseException;
The AvroBaseException will wrap any underlying datastore issues that occur and is a runtime exception so will
play nicely beneath almost any API. The most complicated part of the system is the initial instantiation of an
AvroBase implementation. We are using Guice to bind parameters to the implementations. Here is an example taken
from the Memcached implementation:
static class MABModule implements Module {
static {
String[] serverlist = {"localhost:11211"};
SockIOPool pool = SockIOPool.getInstance();
public void configure(Binder binder) {
binder.bind(MemCachedClient.class).toInstance(new MemCachedClient(true));
public void testSave() throws AvroBaseException {
AvroBase<User, String> userHAB = AvroBaseFactory.createAvroBase(new MABModule(), MAB.class, AvroFormat.BINARY);
The AvroBaseFactory creates a child injector that also injects the AvroFormat into the implementation. This part of
the system is a work in progress and I am open to ideas on better ways to create and use the implementations.