c873c8c162
This PR mainly prohibits operations such as aggregation/sorting/window functions on lateral views containing subqueries. For example: select min(e1) from (select c1 from table group by c1)tmp1 lateral view explode_split(c1, ",") tmp2 as e1 But the query can be written in another way, and the result is the same. select min(e1) from (select e1 from (select c1 from table group by c1)tmp1 lateral view explode_split(c1, ",") tmp2 as e1) tmp3 The reason is that when the results of a inline view are subjected to a lateral view, and the outer query performs aggregation or sorting operations on non-table-function columns. The output slot id of the table function node is empty or has fewer columns. The essential reason is that when the inner layer contains an inline view, the outer expression needs to be mapped to the correct tuple through the substitute method according to the smap instead of the virtual tuple. But the substitute method of slot ref cannot recurse to its own source exprs. E.g SlotRef: c2 <source expr min(c1)> from agg tuple smap: <c1, c3> before: c2 <source expr min(c1)> after: c2 <source expr min(c1)> no changed
# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not use this file except in compliance # with the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. # 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