rraymondgh commented on PR #42:
URL: https://github.com/apache/spark-connect-go/pull/42#issuecomment-2286048363
This doesn't work and I can't find a way to make it work. (arrow is too
obscure for me to work out)
What I want is an array of structs from a dataframe. Using a work around to
encode lists in records as json, the following allows me to achieve what I
want. Closing.
```
func collectStruct[T interface{}](ctx context.Context, df sql.DataFrame)
([]T, error) {
rows, err := df.Collect(ctx)
if err != nil {
return []T{}, err
}
schema, err := df.Schema(ctx)
if err != nil {
return []T{}, err
}
res := make([]T, len(rows))
for i, row := range rows {
vals, _ := row.Values()
u := map[string]interface{}{}
a := []interface{}{}
for ci, v := range vals {
// embedded lists don't work with spark-connect.
encode as json
err = json.Unmarshal([]byte(fmt.Sprint(v)), &a)
if err == nil {
v = a
}
u[schema.Fields[ci].Name] = v
}
dbByte, _ := json.Marshal(u)
_ = json.Unmarshal(dbByte, &res[i])
}
return res, nil
}
```
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