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Avoid hiding errors like Limit for rows or bytes to read exceeded for subqueries

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This commit is contained in:
Nicolae Vartolomei 2021-05-26 16:44:52 +01:00
parent 6e45ed0534
commit be95a425d6
3 changed files with 34 additions and 28 deletions
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10
src/Interpreters/ExecuteScalarSubqueriesVisitor.cpp
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@ -116,8 +116,6 @@ void ExecuteScalarSubqueriesMatcher::visit(const ASTSubquery & subquery, ASTPtr
{ {
auto io = interpreter.execute(); auto io = interpreter.execute();
try
{
PullingAsyncPipelineExecutor executor(io.pipeline); PullingAsyncPipelineExecutor executor(io.pipeline);
while (block.rows() == 0 && executor.pull(block)); while (block.rows() == 0 && executor.pull(block));
@ -139,14 +137,6 @@ void ExecuteScalarSubqueriesMatcher::visit(const ASTSubquery & subquery, ASTPtr
if (tmp_block.rows() != 0) if (tmp_block.rows() != 0)
throw Exception("Scalar subquery returned more than one row", ErrorCodes::INCORRECT_RESULT_OF_SCALAR_SUBQUERY); throw Exception("Scalar subquery returned more than one row", ErrorCodes::INCORRECT_RESULT_OF_SCALAR_SUBQUERY);
} }
catch (const Exception & e)
{
if (e.code() == ErrorCodes::TOO_MANY_ROWS)
throw Exception("Scalar subquery returned more than one row", ErrorCodes::INCORRECT_RESULT_OF_SCALAR_SUBQUERY);
else
throw;
}
}
block = materializeBlock(block); block = materializeBlock(block);
size_t columns = block.columns(); size_t columns = block.columns();

0
tests/queries/0_stateless/01882_scalar_subquery_exception.reference Normal file
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16
tests/queries/0_stateless/01882_scalar_subquery_exception.sql Normal file
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@ -0,0 +1,16 @@
drop table if exists nums_in_mem;
drop table if exists nums_in_mem_dist;
create table nums_in_mem(v UInt64) engine=Memory;
insert into nums_in_mem select * from system.numbers limit 1000000;
create table nums_in_mem_dist as nums_in_mem engine=Distributed('test_shard_localhost', currentDatabase(), nums_in_mem);
set prefer_localhost_replica = 0;
set max_rows_to_read = 100;
select
count()
/
(select count() from nums_in_mem_dist where rand() > 0)
from system.one; -- { serverError 158 }