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/*
* Copyright 2024 Responsive Computing, Inc.
*
* This source code is licensed under the Responsive Business Source License Agreement v1.0
* available at:
*
* https://www.responsive.dev/legal/responsive-bsl-10
*
* This software requires a valid Commercial License Key for production use. Trial and commercial
* licenses can be obtained at https://www.responsive.dev
*/
package dev.responsive.kafka.internal.db;
import dev.responsive.kafka.internal.clients.TTDCassandraClient;
import dev.responsive.kafka.internal.db.inmemory.InMemoryKVTable;
import dev.responsive.kafka.internal.db.spec.RemoteTableSpec;
import org.apache.kafka.common.utils.Bytes;
import org.apache.kafka.streams.state.KeyValueIterator;
public class TTDKeyValueTable extends InMemoryKVTable {
private final TTDCassandraClient client;
public TTDKeyValueTable(final RemoteTableSpec spec, final TTDCassandraClient client) {
super(spec.tableName(), spec.ttlResolver());
this.client = client;
}
@Override
public byte[] get(final int kafkaPartition, final Bytes key, final long streamTimeMs) {
// trigger flush before lookup since CommitBuffer doesn't apply ttl
client.flush();
// take the max of mock "wallclock" time and stream-time since ttl is applied on both
final long currentTimeMs = Math.max(streamTimeMs, client.currentWallClockTimeMs());
return super.get(kafkaPartition, key, currentTimeMs);
}
@Override
public KeyValueIterator range(
final int kafkaPartition,
final Bytes from,
final Bytes to,
final long streamTimeMs
) {
// trigger flush before lookup since CommitBuffer doesn't apply ttl
client.flush();
// take the max of mock "wallclock" time and stream-time since ttl is applied on both
final long currentTimeMs = Math.max(streamTimeMs, client.currentWallClockTimeMs());
return super.range(kafkaPartition, from, to, currentTimeMs);
}
@Override
public KeyValueIterator all(final int kafkaPartition, final long streamTimeMs) {
// trigger flush before lookup since CommitBuffer doesn't apply ttl
client.flush();
// take the max of mock "wallclock" time and stream-time since ttl is applied on both
final long currentTimeMs = Math.max(streamTimeMs, client.currentWallClockTimeMs());
return super.all(kafkaPartition, currentTimeMs);
}
}
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