fix(promql): skip empty batches in SeriesDivide stream (#9178)

Signed-off-by: discord9 <55937128+discord9@users.noreply.github.com>
This commit is contained in:
discord9
2026-09-16 07:37:15 +00:00
committed by GitHub
parent 8af3a04ed7
commit 5e57b00a95
+217 -2
View File
@@ -557,7 +557,9 @@ impl Stream for SeriesDivideStream {
}
error => return Poll::Ready(error),
};
self.buffer.push(batch);
if batch.num_rows() != 0 {
self.buffer.push(batch);
}
continue;
}
}
@@ -627,7 +629,8 @@ impl SeriesDivideStream {
#[cfg(test)]
mod test {
use datafusion::arrow::array::{
DictionaryArray, Int32Array, LargeStringArray, StringArray, StringViewArray, UInt32Array,
DictionaryArray, Int32Array, Int64Array, LargeStringArray, StringArray, StringViewArray,
UInt32Array,
};
use datafusion::arrow::datatypes::{DataType, Field, Int32Type, Schema, UInt32Type};
use datafusion::common::ToDFSchema;
@@ -1248,4 +1251,216 @@ mod test {
assert!(tsid_array.iter().all(|v| v == Some(expected_tsid)));
}
}
/// The input stream may legally start with a batch that has zero rows.
/// `SeriesDivideStream` must skip it and keep working on the real rows that
/// follow (here: two batches of the very same tagged series).
#[tokio::test]
async fn test_stream_leading_empty_batch_then_same_tags() {
let schema = Arc::new(Schema::new(vec![
Field::new("host", DataType::Utf8, false),
Field::new("path", DataType::Utf8, false),
Field::new(
"time_index",
DataType::Timestamp(datafusion::arrow::datatypes::TimeUnit::Millisecond, None),
false,
),
]));
let make_batch = |hosts: Vec<&str>, paths: Vec<&str>, times: Vec<i64>| {
RecordBatch::try_new(
schema.clone(),
vec![
Arc::new(StringArray::from(hosts)),
Arc::new(StringArray::from(paths)),
Arc::new(datafusion::arrow::array::TimestampMillisecondArray::from(
times,
)),
],
)
.unwrap()
};
let memory_exec: Arc<dyn ExecutionPlan> = Arc::new(DataSourceExec::new(Arc::new(
MemorySourceConfig::try_new(
&[vec![
RecordBatch::new_empty(schema.clone()),
make_batch(
vec!["server1", "server1"],
vec!["/var/log", "/var/log"],
vec![1000, 2000],
),
make_batch(vec!["server1"], vec!["/var/log"], vec![3000]),
]],
schema.clone(),
None,
)
.unwrap(),
)));
let divide_exec = Arc::new(SeriesDivideExec {
tag_columns: vec!["host".to_string(), "path".to_string()],
time_index_column: "time_index".to_string(),
input: memory_exec,
metric: ExecutionPlanMetricsSet::new(),
});
let mut stream = divide_exec
.execute(0, SessionContext::default().task_ctx())
.unwrap();
let batch = stream.next().await.unwrap().unwrap();
assert_eq!(batch.num_rows(), 3);
let expected = [
("server1", "/var/log", 1000i64),
("server1", "/var/log", 2000),
("server1", "/var/log", 3000),
];
for (row, (host, path, time)) in expected.into_iter().enumerate() {
assert_eq!(
string_array_value_at_index(batch.column(0), row),
Some(host)
);
assert_eq!(
string_array_value_at_index(batch.column(1), row),
Some(path)
);
assert_eq!(
batch
.column(2)
.as_any()
.downcast_ref::<datafusion::arrow::array::TimestampMillisecondArray>()
.unwrap()
.value(row),
time
);
}
assert!(stream.next().await.is_none());
}
/// Several leading empty batches (and one empty batch in the middle of a
/// series) must not disturb series division: the two series are still
/// emitted separately, including the last one flushed at end of input.
#[tokio::test]
async fn test_stream_repeated_empty_batches_and_two_series() {
let schema = Arc::new(Schema::new(vec![
Field::new("host", DataType::Utf8, false),
Field::new("value", DataType::Int64, false),
Field::new(
"time_index",
DataType::Timestamp(datafusion::arrow::datatypes::TimeUnit::Millisecond, None),
false,
),
]));
let make_batch = |hosts: Vec<&str>, values: Vec<i64>| {
RecordBatch::try_new(
schema.clone(),
vec![
Arc::new(StringArray::from(hosts)),
Arc::new(Int64Array::from(values.clone())),
Arc::new(datafusion::arrow::array::TimestampMillisecondArray::from(
values.iter().map(|v| v * 1000).collect::<Vec<_>>(),
)),
],
)
.unwrap()
};
let memory_exec: Arc<dyn ExecutionPlan> = Arc::new(DataSourceExec::new(Arc::new(
MemorySourceConfig::try_new(
&[vec![
RecordBatch::new_empty(schema.clone()),
RecordBatch::new_empty(schema.clone()),
make_batch(vec!["server1", "server1"], vec![1, 2]),
RecordBatch::new_empty(schema.clone()),
make_batch(vec!["server1"], vec![3]),
make_batch(vec!["server2", "server2"], vec![4, 5]),
]],
schema.clone(),
None,
)
.unwrap(),
)));
let divide_exec = Arc::new(SeriesDivideExec {
tag_columns: vec!["host".to_string()],
time_index_column: "time_index".to_string(),
input: memory_exec,
metric: ExecutionPlanMetricsSet::new(),
});
let mut stream = divide_exec
.execute(0, SessionContext::default().task_ctx())
.unwrap();
for (expected_host, expected_values) in
[("server1", vec![1i64, 2, 3]), ("server2", vec![4, 5])]
{
let batch = stream.next().await.unwrap().unwrap();
assert_eq!(batch.num_rows(), expected_values.len());
for (row, value) in expected_values.into_iter().enumerate() {
assert_eq!(
string_array_value_at_index(batch.column(0), row),
Some(expected_host)
);
assert_eq!(
batch
.column(1)
.as_any()
.downcast_ref::<Int64Array>()
.unwrap()
.value(row),
value
);
}
}
assert!(stream.next().await.is_none());
}
/// A stream that only ever yields zero-row batches must terminate with no
/// batches instead of failing.
#[tokio::test]
async fn test_stream_all_empty_batches_yields_nothing() {
let schema = Arc::new(Schema::new(vec![
Field::new("host", DataType::Utf8, false),
Field::new("value", DataType::Int64, false),
Field::new(
"time_index",
DataType::Timestamp(datafusion::arrow::datatypes::TimeUnit::Millisecond, None),
false,
),
]));
let memory_exec: Arc<dyn ExecutionPlan> = Arc::new(DataSourceExec::new(Arc::new(
MemorySourceConfig::try_new(
&[vec![
RecordBatch::new_empty(schema.clone()),
RecordBatch::new_empty(schema.clone()),
RecordBatch::new_empty(schema.clone()),
]],
schema.clone(),
None,
)
.unwrap(),
)));
let divide_exec = Arc::new(SeriesDivideExec {
tag_columns: vec!["host".to_string()],
time_index_column: "time_index".to_string(),
input: memory_exec,
metric: ExecutionPlanMetricsSet::new(),
});
let mut stream = divide_exec
.execute(0, SessionContext::default().task_ctx())
.unwrap();
assert!(stream.next().await.is_none());
let collected =
datafusion::physical_plan::collect(divide_exec, SessionContext::default().task_ctx())
.await
.unwrap();
assert!(collected.is_empty());
}
}