168 lines
5.4 KiB
Rust
168 lines
5.4 KiB
Rust
use arrow_util::assert_batches_sorted_eq;
|
|
use data_types::PartitionKey;
|
|
use ingester_query_grpc::influxdata::iox::ingester::v1::IngesterQueryRequest;
|
|
use ingester_test_ctx::TestContextBuilder;
|
|
use metric::{DurationHistogram, U64Histogram};
|
|
|
|
// Write data to an ingester through the RPC interface and query the data, validating the contents.
|
|
#[tokio::test]
|
|
async fn write_query() {
|
|
let namespace_name = "write_query_test_namespace";
|
|
let mut ctx = TestContextBuilder::default().build().await;
|
|
let ns = ctx.ensure_namespace(namespace_name, None, None).await;
|
|
|
|
// Initial write
|
|
let partition_key = PartitionKey::from("1970-01-01");
|
|
ctx.write_lp(
|
|
namespace_name,
|
|
"bananas greatness=\"unbounded\" 10",
|
|
partition_key.clone(),
|
|
0,
|
|
None,
|
|
)
|
|
.await;
|
|
|
|
// A subsequent write with a non-contiguous sequence number to a different table.
|
|
ctx.write_lp(
|
|
namespace_name,
|
|
"cpu bar=2 20\ncpu bar=3 30",
|
|
partition_key.clone(),
|
|
7,
|
|
None,
|
|
)
|
|
.await;
|
|
|
|
// And a third write that appends more data to the table in the initial
|
|
// write.
|
|
ctx.write_lp(
|
|
namespace_name,
|
|
"bananas count=42 200",
|
|
partition_key.clone(),
|
|
42,
|
|
None,
|
|
)
|
|
.await;
|
|
|
|
// Perform a query to validate the actual data buffered.
|
|
let data: Vec<_> = ctx
|
|
.query(IngesterQueryRequest {
|
|
namespace_id: ns.id.get(),
|
|
table_id: ctx.table_id(namespace_name, "bananas").await.get(),
|
|
columns: vec![],
|
|
predicate: None,
|
|
})
|
|
.await
|
|
.expect("query request failed");
|
|
|
|
let expected = vec![
|
|
"+-------+-----------+--------------------------------+",
|
|
"| count | greatness | time |",
|
|
"+-------+-----------+--------------------------------+",
|
|
"| | unbounded | 1970-01-01T00:00:00.000000010Z |",
|
|
"| 42.0 | | 1970-01-01T00:00:00.000000200Z |",
|
|
"+-------+-----------+--------------------------------+",
|
|
];
|
|
assert_batches_sorted_eq!(&expected, &data);
|
|
|
|
// Assert various ingest metrics.
|
|
let hist = ctx
|
|
.get_metric::<DurationHistogram, _>(
|
|
"ingester_dml_sink_apply_duration",
|
|
&[("handler", "write_apply"), ("result", "success")],
|
|
)
|
|
.fetch();
|
|
assert_eq!(hist.sample_count(), 3);
|
|
|
|
// Read metrics
|
|
let hist = ctx
|
|
.get_metric::<DurationHistogram, _>(
|
|
"ingester_query_stream_duration",
|
|
&[("request", "complete")],
|
|
)
|
|
.fetch();
|
|
assert_eq!(hist.sample_count(), 1);
|
|
|
|
let hist = ctx
|
|
.get_metric::<U64Histogram, _>("ingester_query_result_row", &[])
|
|
.fetch();
|
|
assert_eq!(hist.sample_count(), 1);
|
|
assert_eq!(hist.total, 2);
|
|
}
|
|
|
|
// Write data to an ingester through the RPC interface and query the data, validating the contents.
|
|
#[tokio::test]
|
|
async fn write_query_projection() {
|
|
let namespace_name = "write_query_test_namespace";
|
|
let mut ctx = TestContextBuilder::default().build().await;
|
|
let ns = ctx.ensure_namespace(namespace_name, None, None).await;
|
|
|
|
// Initial write
|
|
let partition_key = PartitionKey::from("1970-01-01");
|
|
ctx.write_lp(
|
|
namespace_name,
|
|
"bananas greatness=\"unbounded\",level=42 10",
|
|
partition_key.clone(),
|
|
0,
|
|
None,
|
|
)
|
|
.await;
|
|
|
|
// Another write that appends more data to the table in the initial write.
|
|
ctx.write_lp(
|
|
namespace_name,
|
|
"bananas count=42,level=4242 200",
|
|
partition_key.clone(),
|
|
42,
|
|
None,
|
|
)
|
|
.await;
|
|
|
|
// Perform a query to validate the actual data buffered.
|
|
let data: Vec<_> = ctx
|
|
.query(IngesterQueryRequest {
|
|
namespace_id: ns.id.get(),
|
|
table_id: ctx.table_id(namespace_name, "bananas").await.get(),
|
|
columns: vec![],
|
|
predicate: None,
|
|
})
|
|
.await
|
|
.expect("query request failed");
|
|
|
|
let expected = vec![
|
|
"+-------+-----------+--------+--------------------------------+",
|
|
"| count | greatness | level | time |",
|
|
"+-------+-----------+--------+--------------------------------+",
|
|
"| | unbounded | 42.0 | 1970-01-01T00:00:00.000000010Z |",
|
|
"| 42.0 | | 4242.0 | 1970-01-01T00:00:00.000000200Z |",
|
|
"+-------+-----------+--------+--------------------------------+",
|
|
];
|
|
assert_batches_sorted_eq!(&expected, &data);
|
|
|
|
// And perform a query with projection, selecting a column that is entirely
|
|
// non-NULL, a column containing NULLs (in a different order to the above)
|
|
// and a column that does not exist.
|
|
let data: Vec<_> = ctx
|
|
.query(IngesterQueryRequest {
|
|
namespace_id: ns.id.get(),
|
|
table_id: ctx.table_id(namespace_name, "bananas").await.get(),
|
|
columns: vec![
|
|
"level".to_string(),
|
|
"greatness".to_string(),
|
|
"platanos".to_string(),
|
|
],
|
|
predicate: None,
|
|
})
|
|
.await
|
|
.expect("query request failed");
|
|
|
|
let expected = vec![
|
|
"+--------+-----------+",
|
|
"| level | greatness |",
|
|
"+--------+-----------+",
|
|
"| 42.0 | unbounded |",
|
|
"| 4242.0 | |",
|
|
"+--------+-----------+",
|
|
];
|
|
assert_batches_sorted_eq!(&expected, &data);
|
|
}
|