在 PostgreSQL 中,我有这样的表:
| QUESTION_TEXT | CATEGORY | AGREE_PERCENT | DISAGREE_PERCENT |
|----------------------------------------|----------|---------------|------------------|
| Do you support the President's policy? | Policy | 50 | 50 |
| Do you support Democrats? | Policy | 32 | 68 |
| Do you support the Lannisters? | Cinema | 45 | 55 |
| Do you support Spielberg's work? | Cinema | 60 | 40 |
在我的 Go 应用程序中,在gorm 库的帮助下,我向 PostgreSQL 数据库发出 SQL 请求,如下所示:
type Entry struct {
QuestionText string `json:"question_text"`
Category string `json:"category"`
AgreePercent float64 `json:"agree_percent"`
DisagreePercent float64 `json:"disagree_percent"`
}
rows, _ := database.DBGORM.Raw("SELECT * FROM SPECIFICATION").Rows()
for rows.Next() {
entry := &Entry{}
if err = rows.Scan(&entry.QuestionText, & entry.Category, &entry.AgreePercent, &entry.DisagreePercent); err != nil {
utils.Logger().Println(err)
}
}
如何获得类似的结果?正如您所看到的,数组中的每个对象都按category列中的值进行分组:
[
{
category: "Policy",
questions: ["Do you support the President's policy?", "Do you support Democrats?"],
series: [
{
name: "Agree, %",
data: [50, 32]
},
{
name: "Disagree, %",
data: [50, 68]
},
]
},
{
category: "Cinema",
questions: ["Do you support the Lannisters?", "Do you support Spielberg's work?"],
series: [
{
name: "Agree, %",
data: [45, 60]
},
{
name: "Disagree, %",
data: [55, 40]
},
]
},
]
隔江千里
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