fix(observability): restore 24h capacity/network/disk trends via CH hourly agg

Node and dashboard 24h capacity, network, and disk IO charts only used the
latest limited raw snapshots (120/500 rows), so historical hour buckets stayed
empty. Prefer ClickHouse hourly aggregates with counter deltas, and fall back
to raw snapshots when aggregation is unavailable.
This commit is contained in:
ryan
2026-07-10 09:48:45 +08:00
parent b312460ddf
commit b928928958
7 changed files with 512 additions and 37 deletions
@@ -256,6 +256,29 @@ type NodeTrafficHourly struct {
UniqueVisitorCount int64
}
// NodeMetricHourly is an hourly metric snapshot aggregation row.
//
// Disk and host network counters are cumulative; deltas use consecutive
// lagInFrame samples per node (negative deltas after counter reset are dropped).
type NodeMetricHourly struct {
Hour time.Time
AverageCPUUsagePercent float64
AverageMemoryUsagePercent float64
NetworkRxBytes int64
NetworkTxBytes int64
DiskReadBytes int64
DiskWriteBytes int64
ReportedNodes int
}
// NodeOpenrestyHourly is an hourly OpenResty observation aggregation row.
type NodeOpenrestyHourly struct {
Hour time.Time
OpenrestyRxBytes int64
OpenrestyTxBytes int64
ReportedNodes int
}
// ListNodeTrafficHourly returns hourly traffic rollup rows matching filter.
func ListNodeTrafficHourly(ctx context.Context, filter NodeObservabilityFilter) ([]NodeTrafficHourly, error) {
conn, err := observabilityConn()
@@ -298,6 +321,148 @@ ORDER BY hour ASC`, nodeTrafficHourlyTableName, clause)
return result, nil
}
// ListNodeMetricHourly returns hourly metric snapshot aggregates matching filter.
// Capacity uses sample averages; network/disk use consecutive counter deltas via lagInFrame.
func ListNodeMetricHourly(ctx context.Context, filter NodeObservabilityFilter) ([]NodeMetricHourly, error) {
conn, err := observabilityConn()
if err != nil {
return nil, err
}
clause, args := buildNodeObservabilityFilterClause(filter, "captured_at")
tableName := nodeMetricSnapshotTableName()
sql := fmt.Sprintf(`
SELECT
hour,
avg(cpu_usage_percent) AS average_cpu_usage_percent,
avg(memory_usage_percent) AS average_memory_usage_percent,
sum(if(network_rx_delta >= 0, network_rx_delta, 0)) AS network_rx_bytes,
sum(if(network_tx_delta >= 0, network_tx_delta, 0)) AS network_tx_bytes,
sum(if(disk_read_delta >= 0, disk_read_delta, 0)) AS disk_read_bytes,
sum(if(disk_write_delta >= 0, disk_write_delta, 0)) AS disk_write_bytes,
toUInt64(uniqExact(node_id)) AS reported_nodes
FROM (
SELECT
node_id,
toStartOfHour(captured_at) AS hour,
cpu_usage_percent,
if(memory_total_bytes > 0, (memory_used_bytes * 100.0) / memory_total_bytes, 0) AS memory_usage_percent,
network_rx_bytes - lagInFrame(network_rx_bytes, 1, network_rx_bytes) OVER (
PARTITION BY node_id ORDER BY captured_at, id
ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW
) AS network_rx_delta,
network_tx_bytes - lagInFrame(network_tx_bytes, 1, network_tx_bytes) OVER (
PARTITION BY node_id ORDER BY captured_at, id
ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW
) AS network_tx_delta,
disk_read_bytes - lagInFrame(disk_read_bytes, 1, disk_read_bytes) OVER (
PARTITION BY node_id ORDER BY captured_at, id
ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW
) AS disk_read_delta,
disk_write_bytes - lagInFrame(disk_write_bytes, 1, disk_write_bytes) OVER (
PARTITION BY node_id ORDER BY captured_at, id
ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW
) AS disk_write_delta
FROM %s
WHERE %s
)
GROUP BY hour
ORDER BY hour ASC`, tableName, clause)
rows, err := conn.Query(ctx, sql, args...)
if err != nil {
return nil, fmt.Errorf("list node metric hourly: %w", err)
}
defer func() { _ = rows.Close() }()
result := make([]NodeMetricHourly, 0)
for rows.Next() {
var (
item NodeMetricHourly
reportedNodes uint64
networkRx int64
networkTx int64
diskRead int64
diskWrite int64
)
if err := rows.Scan(
&item.Hour,
&item.AverageCPUUsagePercent,
&item.AverageMemoryUsagePercent,
&networkRx,
&networkTx,
&diskRead,
&diskWrite,
&reportedNodes,
); err != nil {
return nil, fmt.Errorf("scan node metric hourly row: %w", err)
}
item.Hour = item.Hour.UTC()
item.NetworkRxBytes = networkRx
item.NetworkTxBytes = networkTx
item.DiskReadBytes = diskRead
item.DiskWriteBytes = diskWrite
item.ReportedNodes = int(safeInt64Count(reportedNodes))
result = append(result, item)
}
return result, nil
}
// ListNodeOpenrestyHourly returns hourly OpenResty observation aggregates matching filter.
func ListNodeOpenrestyHourly(ctx context.Context, filter NodeObservabilityFilter) ([]NodeOpenrestyHourly, error) {
conn, err := observabilityConn()
if err != nil {
return nil, err
}
clause, args := buildNodeObservabilityFilterClause(filter, "captured_at")
tableName := nodeObsOpenrestyTableName()
sql := fmt.Sprintf(`
SELECT
hour,
sum(if(openresty_rx_delta >= 0, openresty_rx_delta, 0)) AS openresty_rx_bytes,
sum(if(openresty_tx_delta >= 0, openresty_tx_delta, 0)) AS openresty_tx_bytes,
toUInt64(uniqExact(node_id)) AS reported_nodes
FROM (
SELECT
node_id,
toStartOfHour(captured_at) AS hour,
openresty_rx_bytes - lagInFrame(openresty_rx_bytes, 1, openresty_rx_bytes) OVER (
PARTITION BY node_id ORDER BY captured_at, id
ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW
) AS openresty_rx_delta,
openresty_tx_bytes - lagInFrame(openresty_tx_bytes, 1, openresty_tx_bytes) OVER (
PARTITION BY node_id ORDER BY captured_at, id
ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW
) AS openresty_tx_delta
FROM %s
WHERE %s
)
GROUP BY hour
ORDER BY hour ASC`, tableName, clause)
rows, err := conn.Query(ctx, sql, args...)
if err != nil {
return nil, fmt.Errorf("list node openresty hourly: %w", err)
}
defer func() { _ = rows.Close() }()
result := make([]NodeOpenrestyHourly, 0)
for rows.Next() {
var (
item NodeOpenrestyHourly
reportedNodes uint64
rx int64
tx int64
)
if err := rows.Scan(&item.Hour, &rx, &tx, &reportedNodes); err != nil {
return nil, fmt.Errorf("scan node openresty hourly row: %w", err)
}
item.Hour = item.Hour.UTC()
item.OpenrestyRxBytes = rx
item.OpenrestyTxBytes = tx
item.ReportedNodes = int(safeInt64Count(reportedNodes))
result = append(result, item)
}
return result, nil
}
func scanNodeObsFrpcRows(rows driver.Rows) ([]analyticsmodel.NodeObsFrpc, error) {
var result []analyticsmodel.NodeObsFrpc
for rows.Next() {