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doris/fe
Shuo Wang 9b91f86c38 [Feature](Nereids) Reorder join to eliminate cross join. (#10890)
Try to eliminate cross join via finding join conditions in filters and changing the join orders.
For example:

-- input:
SELECT * FROM t1, t2, t3 WHERE t1.id=t3.id AND t2.id=t3.id

-- output:
SELECT * FROM t1 JOIN t3 ON t1.id=t3.id JOIN t2 ON t2.id=t3.id
This feature is controlled by session variable enable_nereids_reorder_to_eliminate_cross_join with true by default.

Simplify usage of Memo and rewrite rule application.
Before this PR, if we want to apply a rewrite rule to a plan, the code is like the below:

    Memo memo = new Memo();
        memo.initialize(root);

    PlannerContext plannerContext = new PlannerContext(memo, new ConnectContext());
    JobContext jobContext = new JobContext(plannerContext, new PhysicalProperties(), 0);
    RewriteTopDownJob rewriteTopDownJob = new RewriteTopDownJob(memo.getRoot(),
            ImmutableList.of(new AggregateDisassemble().build()), jobContext);
        plannerContext.pushJob(rewriteTopDownJob);
        plannerContext.getJobScheduler().executeJobPool(plannerContext);

    Plan after = memo.copyOut();
After this PR, we could use chain style calling:

    new Memo(plan)
        .newPlannerContext(connectContext)
        .setDefaultJobContext()
        .topDownRewrite(new AggregateDisassemble())
        .getMemo()
        .copyOut();
Rename the session variable enable_nereids to enable_nereids_planner to make it more meaningful.
2022-07-20 13:53:54 +08:00
..

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# fe-common

This module is used to store some common classes of other modules.

# spark-dpp

This module is Spark DPP program, used for Spark Load function.
Depends: fe-common

# fe-core

This module is the main process module of FE.
Depends: fe-common, spark-dpp