1. max compute partition prune,
we just support filter mc partitions by '='，it can filter just one partition
to support multiple partition filter and range operator('>','<', '>='..), the partition prune should be supported.
2. add max compute row count cache and partitionValues cache
3. add max compute regression case
fix analyze empty table and min/max null value bug:
1. Skip empty analyze task for sample analyze task. (Full analyze task already skipped).
2. Check sample rows is not 0 before calculate the scale factor.
3. Remove ' in sql template after remove base64 encoding for min/max value.
this change improves performance of tpch q20. on sf500, improved from 6.3sec to 1.1 sec
this change has no impaction on tpcds
when column stats is unknown,
the basic algorithm to estimate left semi join output row count is its left child output row count.
q1: "A left semi join B on A.x=B.x"
the output row is estimated as A.rowCount.
But the basic algorithm is not good to following pattern:
q2: "A left semi join filter(B) on A.x=B.x"
Because there is a filter on B, usually this left semi join also reduce the row count of A, and we estimate
the output of q2 as A.rowCount * Filter.rowCount/B.rowCount
for (Partition partition : olapTable.getPartitions()) {
short replicationNum = replicaAlloc.getTotalReplicaNum();
long visibleVersion = partition.getVisibleVersion();
// Here we only get VISIBLE indexes. All other indexes are not queryable.
// So it does not matter if tablets of other indexes are not matched.
for (MaterializedIndex index : partition.getMaterializedIndices(IndexExtState.VISIBLE)) {
Preconditions.checkState(backendBucketsSeq.size() == index.getTablets().size(),
backendBucketsSeq.size() + " vs. " + index.getTablets().size());
int idx = 0;
for (Long tabletId : index.getTabletIdsInOrder()) {
counter.totalTabletNum++;
Set<Long> bucketsSeq = backendBucketsSeq.get(idx);
Preconditions.checkState(bucketsSeq.size() == replicationNum,
bucketsSeq.size() + " vs. " + replicationNum);
Tablet tablet = index.getTablet(tabletId);
TabletStatus st = tablet.getColocateHealthStatus(
visibleVersion, replicaAlloc, bucketsSeq);
if (st != TabletStatus.HEALTHY) {
counter.unhealthyTabletNum++;
unstableReason = String.format("get unhealthy tablet %d in colocate table."
+ " status: %s", tablet.getId(), st);
LOG.debug(unstableReason);
if (!tablet.readyToBeRepaired(infoService, Priority.NORMAL)) {
counter.tabletNotReady++;
// 这里需要将 idx++ ，否则 bucketsSeq和 tablet replicas backends 对应不上
idx++;
continue;
}
TabletSchedCtx tabletCtx = new TabletSchedCtx(
TabletSchedCtx.Type.REPAIR,
db.getId(), tableId, partition.getId(), index.getId(), tablet.getId(),
replicaAlloc, System.currentTimeMillis());
// the tablet status will be set again when being scheduled
tabletCtx.setTabletStatus(st);
tabletCtx.setPriority(Priority.NORMAL);
tabletCtx.setTabletOrderIdx(idx);
AddResult res = tabletScheduler.addTablet(tabletCtx, false /* not force */);
if (res == AddResult.LIMIT_EXCEED || res == AddResult.DISABLED) {
// tablet in scheduler exceed limit, or scheduler is disabled,
// skip this group and check next one.
LOG.info("tablet scheduler return: {}. stop colocate table check", res.name());
break OUT;
} else if (res == AddResult.ADDED) {
counter.addToSchedulerTabletNum++;
} else {
counter.tabletInScheduler++;
}
}
idx++;
}
}
}
Remove `default_cluster` prefix related to:
1. User
2. Role
3. UserManager
4. RoleManager
5. UserRoleManager
6. UserProperty
7. Create/Drop user Stmt
8. Create/Drop role Stmt
9. Grant/Revoke
support view as a independent unit of leading hint
add random test check of leading hint query
add more test with data of leading hint query
add random test check of distribute hint
