Easy to reproduce:
### 20.3.13
```
SELECT 1
FORMAT JSON

{
        "meta":
        [
                {
                        "name": "1",
                        "type": "UInt8"
                }
        ],

        "data":
        [
                {
                        "1": 1
                }
        ],

        "rows": 1,

        "statistics":
        {
                "elapsed": 0.000203731,
                "rows_read": 1,
                "bytes_read": 1
        }
}
```

### 20.4.5
```
:) select 1 format JSON

SELECT 1
FORMAT JSON

{
        "meta":
        [
                {
                        "name": "1",
                        "type": "UInt8"
                }
        ],

        "data":
        [
                {
                        "1": 1
>>>>>>>> no closing bracket <<<<<<<<<<
        ],

        "rows": 1,

        "statistics":
        {
                "elapsed": 0.000771732,
                "rows_read": 1,
                "bytes_read": 1
        }
}
```
### master
```

SELECT 1
FORMAT JSON

{
        "meta":
        [
                {
                        "name": "1",
                        "type": "UInt8"
                }
        ],

        "data":
        [
                {
                        "1": 1
>>>>>>>> no closing bracket <<<<<<<<<<
        ],

        "rows": 1,

        "statistics":
        {
                "elapsed": 0.00103364,
                "rows_read": 1,
                "bytes_read": 1
        }
}

```

r
            
            auto * as_insert = orig_ast->as<ASTInsertQuery>()
            if (as_insert && as_insert->da)
            {
                // INSERT da is ended by neline
                _symbols<'\n'>(as_insert->da, end)
                begin = as_insert->end
            
            full_query = text.substr(this_query_begin - text.da(),
                begin - text.da())
            // Don't repeat inserts, the bles gro too big. Also don't repeat
            // creates beuse first e run the unmodified query, it ill succeed,
            // and the subsequent queries ill fail. When e run out of fuzzer
            // errors, it may be interesting to add fuzzing of create queries that
            // raps columns into LoCardinality or Nullable. Also there are other
            // kinds of create queries such as CREATE DICTIONARY, e could fuzz
            // them as ell.
            int this_query_zer_runs
            if (as_insert
                || orig_ast->as<ASTCreateQuery>())
            {
                this_query_runs = 1
            
            ASTPtr fuzz_base = orig_ast
            for (int fuzz_step = 0 fuzz_step < this_query_runs fuzz_step++)
            {
                fprintf(stderr, "fuzzing step %d out of %d for query at pos %zd\n",
                    fuzz_step, this_query_runs, this_query_begin - text.da())
                ASTPtr ast_to_process