### Description

This is to investigate what we could do to support the data streams in SQL. The backing indices can be queried already, but to address them similarly as they're queried over QDSL one would need to construct a pattern learned out of band and not through SQL metadata discovery mechanisms.
x-pack/plugin/ql/src/main/java/org/elasticsearch/xpack/ql/index/IndexResolver.java
if (parent != null && parent instanceof UnsupportedEsField unsupportedParent) {
            String inherited = unsupportedParent.getInherited();
            String type = unsupportedParent.getOriginalType();
            if (inherited == null) {
                
                esField = new UnsupportedEsField(esField.getName(), type, unsupportedParent.getName(), esField.getProperties());
            } else {
                
                
                esField = new UnsupportedEsField(esField.getName(), type, inherited, esField.getProperties());
            }
        }
        parentProps.put(fieldName, esField);
        flattedMapping.put(fullFieldName, esField);
        return esField;
    }
    private static EsField createField(
        DataTypeRegistry typeRegistry,
        String fieldName,
        String typeName,
        Map<String, EsField> props,
        boolean isAggregateable,
        boolean isAlias
    ) {
        DataType esType = typeRegistry.fromEs(typeName);
        if (esType == TEXT) {
            return new TextEsField(fieldName, props, false, isAlias);
        }
        if (esType == KEYWORD) {
            int length = Short.MAX_VALUE;