},
               "expr": "sum by (pod) (rate(istio_tcp_connections_opened_total{pod=~\"ztunnel-.*\"}[$__rate_interval]))",
               "legendFormat": "Opened ({{pod}})"
            },
            {
               "datasource": {
                  "type": "prometheus",
                  "uid": "$datasource"
               },

		return input.Clone(output), nil
	}

	for i, expr := range e.selectAST.Expression.Expressions {
		v, err := expr.evalNode(input, e.tableAlias)
		if err != nil {
			return nil, err
		}

		// Pick output column names
		if expr.As != "" {
			output, err = output.Set(expr.As, v)
		} else if comp, ok := getLastKeypathComponent(expr.Expression); ok {
			output, err = output.Set(comp, v)
		} else {

         "pluginVersion": "v11.0.0",
         "targets": [
            {
               "datasource": {
                  "type": "prometheus",
                  "uid": "$datasource"
               },
               "expr": "round(sum (rate(istio_requests_total{reporter=~\"source|waypoint\"}[$__rate_interval])), 0.01)"
            }
         ],
         "title": "Traffic Volume",
         "type": "stat"
      },
      {

      "targets": [
        {
          "datasource": {
            "type": "prometheus",
            "uid": "${DS_PROMETHEUS}"
          },
          "exemplar": true,
          "expr": "time() - max(minio_node_process_starttime_seconds{job=~\"$scrape_jobs\"})",
          "format": "time_series",
          "instant": true,
          "interval": "",
          "intervalFactor": 1,

      "targets": [
        {
          "datasource": {
            "type": "prometheus",
            "uid": "${DS_PROMETHEUS}"
          },
          "exemplar": true,
          "expr": "sum by (server) (minio_node_replication_average_active_workers{job=\"$scrape_jobs\"})",
          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "{{server}}",
          "refId": "A"

      "targets": [
        {
          "datasource": {
            "type": "prometheus",
            "uid": "${DS_PROMETHEUS}"
          },
          "exemplar": true,
          "expr": "max(minio_node_drive_total{job=~\"$scrape_jobs\",server=\"$server\"})",
          "format": "table",
          "hide": false,
          "instant": true,
          "interval": "",
          "intervalFactor": 1,

               },
               "expr": "sum by (pod) (container_memory_working_set_bytes{container=\"discovery\",pod=~\"istiod-.*\"})",
               "legendFormat": "Container ({{pod}})"
            },
            {
               "datasource": {
                  "type": "prometheus",
                  "uid": "$datasource"
               },

         "pluginVersion": "v11.0.0",
         "targets": [
            {
               "datasource": {
                  "type": "prometheus",
                  "uid": "$datasource"
               },
               "expr": "sum by (cluster, namespace, job) (\n    rate(\n        process_cpu_seconds_total{\n            cluster=~\"$cluster\",\n            namespace=~\"$namespace\",\n            job=~\"$job\"\n        }\n    [$__rate_interval])\n)\n",

		return tx.Create(dest)
	} else if len(db.Statement.assigns) > 0 {
		exprs := tx.Statement.BuildCondition(db.Statement.assigns[0], db.Statement.assigns[1:]...)
		assigns := map[string]interface{}{}
		for i := 0; i < len(exprs); i++ {
			expr := exprs[i]

			if eq, ok := expr.(clause.AndConditions); ok {
				exprs = append(exprs, eq.Exprs...)
			} else if eq, ok := expr.(clause.Eq); ok {
				switch column := eq.Column.(type) {

		tx.Statement.TableExpr = &clause.Expr{SQL: name, Vars: args}
		if results := tableRegexp.FindStringSubmatch(name); len(results) == 3 {
			if results[1] != "" {
				tx.Statement.Table = results[1]
			} else {
				tx.Statement.Table = results[2]
			}
		}
	} else if tables := strings.Split(name, "."); len(tables) == 2 {
		tx.Statement.TableExpr = &clause.Expr{SQL: tx.Statement.Quote(name)}
		tx.Statement.Table = tables[1]