…69100)

### What problem does this PR solve?

Problem Summary:

`RleEncoder::FlushRepeatedRun()` wrote `repeat_count_ << 1` into an
`int32_t`. `repeat_count_` was an `int`, so a repeated run of 2^30 or
more values overflowed the indicator into a negative number.
`BitWriter::PutVlqInt()` then took that as an `int32_t` and shifted it
right arithmetically:

```cpp
inline void BitWriter::PutVlqInt(int32_t v) {
    while ((v & 0xFFFFFF80) != 0L) {
        PutAligned<uint8_t>((v & 0x7F) | 0x80, 1);
        v >>= 7;
    }
    PutAligned<uint8_t>(v & 0x7F, 1);
}
```

An arithmetic right shift of a negative value converges to `-1` and
stays there, and `-1 & 0xFFFFFF80` is non-zero, so **the loop never
exits**. It appends `0xFF` to the output buffer forever, pinning a core
at 100% and growing the buffer without bound.

#### How it was hit

A base compaction in a production cluster wedged on a table with many
nullable `text` columns. Two `BaseCompactionT` threads sat in this stack
for over a month:

```
#0  inline_memcpy (size=348057208)
#2  doris::faststring::GrowArray (newcapacity=502825728)
#4  doris::BitWriter::GetNextBytePtr (num_bytes=1)
#5  doris::BitWriter::PutAligned<unsigned char> (val=255 '\377')
#6  doris::BitWriter::PutVlqInt (v=-1)              bit_stream_utils.inline.h:91
#7  doris::RleEncoder<bool>::FlushRepeatedRun       rle_encoding.h:499
#9  doris::segment_v2::NullBitmapBuilder::finish
#11 doris::segment_v2::ScalarColumnWriter::finish
#15 doris::Merger::vertical_compact_one_group (is_key=false, max_rows_per_segment=1073741824)
#20 doris::CloudBaseCompaction::execute_compact
```

`v=-1` together with `val=255` pins it down exactly: the loop is
emitting `0xFF` with `v` stuck at `-1`.

Two existing behaviours combined to produce a 2^30-value run:

- Vertical compaction derives the segment row limit from
`vertical_compaction_max_segment_size / avg_bytes_per_row`
([`Compaction::get_avg_segment_rows()`](https://github.com/apache/doris/blob/master/be/src/olap/compaction.cpp)).
For this table the average row size integer-divided to `0`, so the
divisor degenerated to `1` and the limit became the config default
`1073741824` = 2^30 rows — visible as `max_rows_per_segment=1073741824`
in the stack above.
- `ScalarColumnWriter::append_nulls()` never checks whether the page is
full, unlike `append_data()`, and NULLs never reach the page builder. So
an all-NULL column accumulated a single null-bitmap run spanning the
whole 2^30-row segment in one page.

Because the stuck tasks kept the base compaction slots occupied
(`max_base_compaction_task_num_per_disk` defaults to 2),
`_generate_cloud_compaction_tasks()` computed `base_n = 0` and stopped
picking any tablet, so **no base compaction ran on that backend again**
and compaction scores climbed to the cap across the instance.

### What this PR changes

1. **`PutVlqInt()` takes `uint32_t`.** A logical shift always converges
to 0, so the loop terminates for every possible input. This is the
backstop that makes a hang impossible regardless of what callers pass.

2. **`repeat_count_` widened to `int64_t`, and long runs are split.**
Runs longer than `MAX_VALUES_PER_REPEATED_RUN` (2^30 - 1) are emitted as
several back-to-back repeated runs of the same value. Readers already
merge adjacent runs carrying the same value (`RleDecoder::GetNextRun`),
so splitting is invisible to them. The cap keeps the indicator inside
`int32_t`'s positive range — exactly the range previous versions could
encode — so **output stays byte-identical for every run length that used
to work**, and no reader change is needed.

3. **`faststring::reserve()` grows geometrically** via the existing
`GrowToAtLeast()` instead of reallocating to exactly the requested
capacity. `BitWriter` reserves a handful of bytes at a time, so exact
growth reallocated and memcpy'd the entire buffer every 8 bytes, making
an n-byte append cost O(n^2). This is what turned the infinite loop into
a thread stuck in `memcpy` with a ~500MB buffer, and it slows down every
other large RLE buffer as well. Measured: reaching 1 MiB now takes 26
reallocations instead of ~131,000.

Deliberately **not** in this PR, each worth its own change:
- `ScalarColumnWriter::append_nulls()` still lets a page grow without
bound.
- `Compaction::get_avg_segment_rows()` still degenerates to the
configured byte size when the average row size rounds down to zero.

### Release note

Fix a BE hang in RLE encoding when a column produces a run of 2^30 or
more identical values (for example an all-NULL column in a very large
segment), which could permanently stall base compaction on that backend.

### Check List (For Author)

- Test
    - [x] Unit Test

New tests:

| Test | Covers |
|---|---|
| `TestRle.TestRepeatedRunExceedingIndicatorRange` | Run lengths around
and far beyond 2^30 encode compactly and decode back to the original
length |
| `TestBitStreamUtil.TestPutVlqIntRoundTrip` | `PutVlqInt` round-trips
every `uint32_t`, including values `>= 2^31` that used to hang |
| `FaststringTest.TestReserve_ExponentiallyExpand` | `reserve()` does
not reallocate on every call |

Verified that the new tests actually catch the bug: built the exact
repro (`RleEncoder<bool>::Put(true, 1 << 30)` followed by `Flush()`)
against unpatched master and it never returns (killed by timeout); with
this patch it completes and emits 8 bytes. All pre-existing tests in
`rle_encoding_test`, `bit_stream_utils_test` and `faststring_test` pass
(29 tests, with `LOOP_LESS_OR_MORE` forced to the slow/thorough branch).

Also confirmed no format regression: a short run encoded via `Put(v)` in
a loop and via `Put(v, n)` in one call still produce byte-identical
output.

- Behavior changed:
- [x] No. Encoded output is unchanged for every run length that
previously encoded correctly; only run lengths that used to hang now
produce (correct, readable) output.

- Does this need documentation?
    - [x] No.

Co-authored-by: Xin Liao <[email protected]>

…2^30 values #69100 (#69193)

Cherry-picked from #69100

Co-authored-by: Xin Liao <[email protected]>
Co-authored-by: Xin Liao <[email protected]>