MTMVPartitionState.java
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package org.apache.doris.mtmv;
import com.google.gson.annotations.SerializedName;
import java.util.LinkedHashMap;
import java.util.Map;
import java.util.Map.Entry;
/**
* The per-partition refresh state of one MV partition.
*
* <p>{@code refreshEpoch} says which generation of data the partition currently holds, {@code
* latestEpoch} says which generation it must hold. A partition whose {@code latestEpoch} is ahead of
* its {@code refreshEpoch} is dirty: it holds rows read before a metadata-only change of a base table
* (a dropped / truncated / replaced / recovered partition emits no row binlog), so those rows can no
* longer be removed incrementally and the partition has to be rebuilt.
*
* <p>Keyed by MV partition name in {@code MTMV.partitionStates}. The name is deliberately the only
* identity: an MV partition is rewritten by {@code INSERT OVERWRITE} on every refresh and gets a new
* partition id each time, so an id would stop matching as soon as the partition is refreshed.
*
* <p>The two values are plain {@code long}s rather than atomics because this is a persisted DTO: it is
* serialized into the alter journal, so it has to stay a plain bean.
*/
public class MTMVPartitionState {
/** The generation of the data this MV partition currently holds; 0 means it was never refreshed. */
@SerializedName("re")
private long refreshEpoch;
/** The generation the data must reach; starts at 1 and grows on every invalidation. */
@SerializedName("le")
private long latestEpoch;
public MTMVPartitionState() {
}
public MTMVPartitionState(long refreshEpoch, long latestEpoch) {
this.refreshEpoch = refreshEpoch;
this.latestEpoch = latestEpoch;
}
public MTMVPartitionState(MTMVPartitionState other) {
this.refreshEpoch = other.refreshEpoch;
this.latestEpoch = other.latestEpoch;
}
/**
* Deep-copies a state map, or returns null for null.
*
* <p>The journal needs this on both sides. A payload is serialized by the journal thread, which
* runs after the submitting thread released the MV lock, so a payload that shared state with the
* live map could be written out half-mutated. The replay path goes through the same helper so that
* both sides of the journal follow one rule instead of two.
*/
public static Map<String, MTMVPartitionState> copyOf(Map<String, MTMVPartitionState> states) {
if (states == null) {
return null;
}
Map<String, MTMVPartitionState> copy = new LinkedHashMap<>();
for (Entry<String, MTMVPartitionState> entry : states.entrySet()) {
copy.put(entry.getKey(), new MTMVPartitionState(entry.getValue()));
}
return copy;
}
public long getRefreshEpoch() {
return refreshEpoch;
}
public void setRefreshEpoch(long refreshEpoch) {
this.refreshEpoch = refreshEpoch;
}
public long getLatestEpoch() {
return latestEpoch;
}
public void setLatestEpoch(long latestEpoch) {
this.latestEpoch = latestEpoch;
}
}