The vega-lite code that I was trying to facet/small multiples

vega_lite_multiples.json

{

  $schema: https://vega.github.io/schema/vega-lite/v4.json
  title: Visu interessante

  // Define the data source
  data: {
    url: {
    
/*


Kibana has a special handling for the fields surrounded by "%".  They are processed before the the query is sent to Elasticsearch. This way the query becomes context aware, and can use the time range and the dashboard filters.
*/

      // Apply dashboard context filters when set
      %context%: true
      // Filter the time picker (upper right corner) with this field
      %timefield%: timestamp
      index: index_do

      body: {
          aggs: {
            sube: {
                    terms: {
                      field: "iName.keyword"
                     // "size": 10  
                              } 
          aggs:{
             transacoec: {
                    terms: {
                      field: "mo.keyword"
                     // size: 13
                              }
                            }
                  }
              }
            }
        
        size: 0
      }
    }
   

    format: {property: "aggregations.sube.buckets"}
  }
  
   // facet: { row: {field: "iName.keyword"}}
  // spec: {
  mark: bar
  
  
  encoding: {
    
    x: {
      
      field: key
      type: nominal
      sort: -y
      axis: {title: false} // Customize X axis format
    }
    y: {
      field: doc_count
      type: quantitative
      axis: {title: "Quantidade de M"}
    },
  }
  //}
}