Apply timeout workaround for readonly Clickhouse in Exec

runtime/drivers/clickhouse/olap.go

@@ -2,6 +2,7 @@ package clickhouse
 
 import (
 	"context"
+	"database/sql"
 	"errors"
 	"fmt"
 	"strings"
@@ -447,6 +448,14 @@ type SQLConn struct {
 	supportSettings bool
 }
 
+func (sc *SQLConn) ExecContext(ctx context.Context, query string, args ...any) (sql.Result, error) {
+	if sc.supportSettings {
+		return sc.Conn.ExecContext(ctx, query, args...)
+	}
+	ctx2 := contextWithoutDeadline(ctx)
+	return sc.Conn.ExecContext(ctx2, query, args...)
+}
+
 func (sc *SQLConn) QueryxContext(ctx context.Context, query string, args ...any) (*sqlx.Rows, error) {
 	if sc.supportSettings {
 		return sc.Conn.QueryxContext(ctx, query, args...)

runtime/resolvers/testdata/metrics_clickhouse_playground.yaml

@@ -0,0 +1,67 @@
+project_files:
+  clickhouse.yaml:
+    type: connector
+    driver: clickhouse
+    host: play.clickhouse.com
+    port: 9440
+    username: play
+    ssl: true
+  uk_price_paid.yaml:
+    type: metrics_view
+    connector: clickhouse
+    model: uk_price_paid
+    timeseries: date
+    dimensions:
+      - column: date
+      - column: postcode1
+      - column: postcode2
+      - column: type
+      - column: duration
+      - column: addr1
+      - column: addr2
+      - column: street
+      - column: locality
+      - column: town
+      - column: district
+      - column: county
+    measures:
+      - name: total_transactions
+        expression: COUNT(*)
+      - name: total_price_paid
+        expression: SUM(price)
+      - name: average_sale_price
+        expression: AVG(price)
+      - name: min_sale_price
+        expression: MIN(price)
+      - name: max_sale_price
+        expression: MAX(price)
+      - name: new_build_transactions
+        expression: SUM(is_new)
+      - name: average_price_new_build_flag_weighted
+        expression: AVG(price * is_new)
+      - name: distinct_postcode1_count
+        expression: COUNT(DISTINCT postcode1)
+      - name: distinct_town_count
+        expression: COUNT(DISTINCT town)
+      - name: distinct_county_count
+        expression: COUNT(DISTINCT county)
+tests:
+  - name: simple_query
+    resolver: metrics
+    properties:
+      metrics_view: uk_price_paid
+      dimensions:
+        - name: type
+      measures:
+        - name: total_transactions
+    result:
+      - total_transactions: 602799
+        type: other
+      - total_transactions: 9.142255e+06
+        type: terraced
+      - total_transactions: 8.409109e+06
+        type: semi-detached
+      - total_transactions: 7.107089e+06
+        type: detached
+      - total_transactions: 5.552052e+06
+        type: flat