mirror of
https://gitee.com/rulego/streamsql.git
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rulego-team
1034 lines
32 KiB
Go
1034 lines
32 KiB
Go
package streamsql
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import (
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"fmt"
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"testing"
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"time"
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"github.com/stretchr/testify/assert"
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"github.com/stretchr/testify/require"
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)
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// TestIsNullOperatorInSQL 测试IS NULL和IS NOT NULL语法功能
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func TestIsNullOperatorInSQL(t *testing.T) {
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testCases := []struct {
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name string
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sql string
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testData []map[string]interface{}
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expected []map[string]interface{}
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}{
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{
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name: "IS NULL测试",
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sql: "SELECT deviceId, value FROM stream WHERE value IS NULL",
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testData: []map[string]interface{}{
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{"deviceId": "sensor1", "value": 25.5},
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{"deviceId": "sensor2", "value": nil},
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{"deviceId": "sensor3", "value": 30.0},
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{"deviceId": "sensor4", "value": nil},
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},
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expected: []map[string]interface{}{
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{"deviceId": "sensor2", "value": nil},
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{"deviceId": "sensor4", "value": nil},
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},
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},
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{
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name: "IS NOT NULL测试",
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sql: "SELECT deviceId, value FROM stream WHERE value IS NOT NULL",
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testData: []map[string]interface{}{
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{"deviceId": "sensor1", "value": 25.5},
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{"deviceId": "sensor2", "value": nil},
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{"deviceId": "sensor3", "value": 30.0},
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{"deviceId": "sensor4", "value": nil},
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},
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expected: []map[string]interface{}{
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{"deviceId": "sensor1", "value": 25.5},
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{"deviceId": "sensor3", "value": 30.0},
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},
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},
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{
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name: "嵌套字段IS NULL测试",
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sql: "SELECT deviceId, device.location FROM stream WHERE device.location IS NULL",
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testData: []map[string]interface{}{
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{
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"deviceId": "sensor1",
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"device": map[string]interface{}{
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"location": "warehouse-A",
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},
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},
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{
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"deviceId": "sensor2",
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"device": map[string]interface{}{
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"location": nil,
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},
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},
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{
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"deviceId": "sensor3",
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"device": map[string]interface{}{},
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},
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},
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expected: []map[string]interface{}{
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{"deviceId": "sensor2", "device.location": nil},
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{"deviceId": "sensor3", "device.location": nil}, // 字段不存在也被认为是null
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},
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},
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{
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name: "组合条件 - IS NULL AND其他条件",
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sql: "SELECT deviceId, value, status FROM stream WHERE value IS NULL AND status = 'active'",
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testData: []map[string]interface{}{
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{"deviceId": "sensor1", "value": 25.5, "status": "active"},
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{"deviceId": "sensor2", "value": nil, "status": "active"},
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{"deviceId": "sensor3", "value": nil, "status": "inactive"},
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{"deviceId": "sensor4", "value": 30.0, "status": "active"},
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},
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expected: []map[string]interface{}{
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{"deviceId": "sensor2", "value": nil, "status": "active"},
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},
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},
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{
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name: "组合条件 - IS NOT NULL OR其他条件",
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sql: "SELECT deviceId, value, status FROM stream WHERE value IS NOT NULL OR status = 'error'",
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testData: []map[string]interface{}{
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{"deviceId": "sensor1", "value": 25.5, "status": "active"},
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{"deviceId": "sensor2", "value": nil, "status": "active"},
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{"deviceId": "sensor3", "value": nil, "status": "error"},
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{"deviceId": "sensor4", "value": 30.0, "status": "inactive"},
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},
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expected: []map[string]interface{}{
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{"deviceId": "sensor1", "value": 25.5, "status": "active"},
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{"deviceId": "sensor3", "value": nil, "status": "error"},
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{"deviceId": "sensor4", "value": 30.0, "status": "inactive"},
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},
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},
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}
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for _, tc := range testCases {
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t.Run(tc.name, func(t *testing.T) {
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// 创建StreamSQL实例
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ssql := New()
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defer ssql.Stop()
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// 执行SQL
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err := ssql.Execute(tc.sql)
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require.NoError(t, err)
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// 收集结果
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var results []map[string]interface{}
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resultChan := make(chan interface{}, 10)
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ssql.Stream().AddSink(func(result interface{}) {
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resultChan <- result
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})
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// 使用一个done channel来同步
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done := make(chan bool, 1)
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// 添加测试数据
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for _, data := range tc.testData {
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ssql.Stream().Emit(data)
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}
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// 在另一个goroutine中收集结果
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go func() {
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defer func() { done <- true }()
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// 等待一段时间收集结果
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timeout := time.After(300 * time.Millisecond)
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for {
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select {
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case result := <-resultChan:
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if resultSlice, ok := result.([]map[string]interface{}); ok {
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results = append(results, resultSlice...)
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}
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case <-timeout:
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return
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}
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}
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}()
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// 等待收集完成
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<-done
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// 验证结果数量
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assert.Len(t, results, len(tc.expected), "结果数量应该匹配")
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// 验证结果内容（不依赖顺序）
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expectedDeviceIds := make([]string, len(tc.expected))
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for i, exp := range tc.expected {
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expectedDeviceIds[i] = exp["deviceId"].(string)
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}
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actualDeviceIds := make([]string, len(results))
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for i, result := range results {
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actualDeviceIds[i] = result["deviceId"].(string)
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}
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// 验证每个期望的设备ID都在结果中
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for _, expectedId := range expectedDeviceIds {
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assert.Contains(t, actualDeviceIds, expectedId, "结果应该包含设备ID %s", expectedId)
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}
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// 验证每个结果的字段值
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for _, result := range results {
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deviceId := result["deviceId"].(string)
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// 找到对应的期望结果
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var expectedResult map[string]interface{}
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for _, exp := range tc.expected {
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if exp["deviceId"].(string) == deviceId {
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expectedResult = exp
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break
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}
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}
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if expectedResult != nil {
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for key, expectedValue := range expectedResult {
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actualValue := result[key]
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assert.Equal(t, expectedValue, actualValue,
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"设备 %s 的字段 %s 值应该匹配: 期望 %v, 实际 %v", deviceId, key, expectedValue, actualValue)
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}
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}
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}
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})
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}
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}
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// TestIsNullInAggregation 测试聚合查询中的IS NULL
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func TestIsNullInAggregation(t *testing.T) {
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ssql := New()
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defer ssql.Stop()
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// 聚合查询：统计非空值的数量
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sql := `SELECT deviceType,
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COUNT(*) as total_count,
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COUNT(value) as non_null_count
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FROM stream
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WHERE value IS NOT NULL
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GROUP BY deviceType, TumblingWindow('2s')`
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err := ssql.Execute(sql)
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require.NoError(t, err)
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// 收集结果
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resultChan := make(chan interface{}, 10)
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ssql.Stream().AddSink(func(result interface{}) {
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resultChan <- result
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})
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// 添加测试数据
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testData := []map[string]interface{}{
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{"deviceType": "temperature", "value": 25.5},
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{"deviceType": "temperature", "value": nil},
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{"deviceType": "temperature", "value": 27.0},
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{"deviceType": "humidity", "value": 60.0},
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{"deviceType": "humidity", "value": nil},
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}
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for _, data := range testData {
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ssql.Stream().Emit(data)
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}
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// 等待窗口触发
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time.Sleep(3 * time.Second)
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// 验证结果
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select {
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case result := <-resultChan:
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resultSlice, ok := result.([]map[string]interface{})
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require.True(t, ok, "结果应该是[]map[string]interface{}类型")
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// 应该有temperature和humidity两种类型的结果
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assert.GreaterOrEqual(t, len(resultSlice), 1, "应该至少有一个聚合结果")
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for _, item := range resultSlice {
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deviceType := item["deviceType"]
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totalCount, _ := item["total_count"].(float64)
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nonNullCount, _ := item["non_null_count"].(float64)
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if deviceType == "temperature" {
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// temperature有2个非空值（25.5, 27.0）
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assert.Equal(t, 2.0, totalCount, "temperature总数应该是2")
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assert.Equal(t, 2.0, nonNullCount, "temperature非空数应该是2")
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} else if deviceType == "humidity" {
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// humidity有1个非空值（60.0）
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assert.Equal(t, 1.0, totalCount, "humidity总数应该是1")
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assert.Equal(t, 1.0, nonNullCount, "humidity非空数应该是1")
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}
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}
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case <-time.After(5 * time.Second):
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t.Fatal("测试超时，未收到聚合结果")
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}
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}
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// TestIsNullInHaving 测试HAVING子句中真正的IS NULL功能
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func TestIsNullInHaving(t *testing.T) {
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ssql := New()
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defer ssql.Stop()
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// 测试HAVING子句中的IS NULL：只返回平均值为NULL的设备类型
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sql := `SELECT deviceType,
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COUNT(*) as total_count,
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AVG(value) as avg_value
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FROM stream
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GROUP BY deviceType, TumblingWindow('2s')
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HAVING avg_value IS NULL`
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err := ssql.Execute(sql)
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require.NoError(t, err)
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resultChan := make(chan interface{}, 10)
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ssql.Stream().AddSink(func(result interface{}) {
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resultChan <- result
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})
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// 添加测试数据：只给pressure设备类型添加null值，这样它的平均值会是null
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testData := []map[string]interface{}{
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{"deviceType": "temperature", "value": 25.0},
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{"deviceType": "temperature", "value": 27.0}, // temperature有值，平均值不为null
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{"deviceType": "humidity", "value": 60.0}, // humidity有值，平均值不为null
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{"deviceType": "pressure", "value": nil}, // pressure只有null值
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{"deviceType": "pressure", "value": nil}, // pressure再次null值，平均值会是null
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}
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for _, data := range testData {
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ssql.Stream().Emit(data)
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}
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// 等待窗口触发
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time.Sleep(3 * time.Second)
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// 验证结果
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select {
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case result := <-resultChan:
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resultSlice, ok := result.([]map[string]interface{})
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require.True(t, ok, "结果应该是[]map[string]interface{}类型")
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// 应该只有pressure类型的结果（平均值为null）
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assert.Len(t, resultSlice, 1, "应该只有一个结果")
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if len(resultSlice) > 0 {
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item := resultSlice[0]
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assert.Equal(t, "pressure", item["deviceType"], "应该是pressure类型")
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// 验证avg_value确实为null
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avgValue := item["avg_value"]
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assert.Nil(t, avgValue, "pressure的平均值应该是null")
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// 验证total_count
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totalCount, ok := item["total_count"].(float64)
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assert.True(t, ok, "total_count应该是float64类型")
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assert.Equal(t, 2.0, totalCount, "pressure应该有2条记录")
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}
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case <-time.After(5 * time.Second):
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t.Fatal("测试超时，未收到聚合结果")
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}
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}
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// TestIsNullInHavingWithIsNotNull 测试HAVING子句中的IS NOT NULL功能
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func TestIsNullInHavingWithIsNotNull(t *testing.T) {
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ssql := New()
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defer ssql.Stop()
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// 测试HAVING子句中的IS NOT NULL：只返回平均值不为NULL的设备类型
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sql := `SELECT deviceType,
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COUNT(*) as total_count,
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AVG(value) as avg_value
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FROM stream
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GROUP BY deviceType, TumblingWindow('2s')
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HAVING avg_value IS NOT NULL`
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err := ssql.Execute(sql)
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require.NoError(t, err)
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resultChan := make(chan interface{}, 10)
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ssql.Stream().AddSink(func(result interface{}) {
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resultChan <- result
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})
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// 添加测试数据
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testData := []map[string]interface{}{
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{"deviceType": "temperature", "value": 25.0},
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{"deviceType": "temperature", "value": 27.0}, // temperature有值，平均值不为null
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{"deviceType": "humidity", "value": 60.0}, // humidity有值，平均值不为null
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{"deviceType": "pressure", "value": nil}, // pressure只有null值，平均值会是null
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{"deviceType": "pressure", "value": nil},
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}
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for _, data := range testData {
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ssql.Stream().Emit(data)
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}
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// 等待窗口触发
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time.Sleep(3 * time.Second)
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// 验证结果
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select {
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case result := <-resultChan:
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resultSlice, ok := result.([]map[string]interface{})
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require.True(t, ok, "结果应该是[]map[string]interface{}类型")
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// 应该有temperature和humidity两种类型的结果（平均值不为null）
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assert.Len(t, resultSlice, 2, "应该有两个结果")
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foundTypes := make([]string, 0)
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for _, item := range resultSlice {
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deviceType, ok := item["deviceType"].(string)
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require.True(t, ok, "deviceType应该是string类型")
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// 验证avg_value不为null
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avgValue := item["avg_value"]
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assert.NotNil(t, avgValue, fmt.Sprintf("%s的平均值应该不为null", deviceType))
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foundTypes = append(foundTypes, deviceType)
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}
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// 验证包含temperature和humidity，不包含pressure
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assert.Contains(t, foundTypes, "temperature", "结果应该包含temperature")
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assert.Contains(t, foundTypes, "humidity", "结果应该包含humidity")
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assert.NotContains(t, foundTypes, "pressure", "结果不应该包含pressure")
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case <-time.After(5 * time.Second):
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t.Fatal("测试超时，未收到聚合结果")
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}
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}
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// TestIsNullWithOtherOperators 测试IS NULL与其他操作符的组合
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func TestIsNullWithOtherOperators(t *testing.T) {
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ssql := New()
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defer ssql.Stop()
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// 测试复杂的WHERE条件
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sql := `SELECT deviceId, value, status, location
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FROM stream
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WHERE (value IS NOT NULL AND value > 20) OR
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(status IS NULL AND location LIKE 'warehouse%')`
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err := ssql.Execute(sql)
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require.NoError(t, err)
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resultChan := make(chan interface{}, 10)
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ssql.Stream().AddSink(func(result interface{}) {
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resultChan <- result
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})
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// 添加测试数据
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testData := []map[string]interface{}{
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{"deviceId": "sensor1", "value": 25.0, "status": "active", "location": "warehouse-A"}, // 满足第一个条件
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{"deviceId": "sensor2", "value": 15.0, "status": "active", "location": "warehouse-B"}, // 不满足条件
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{"deviceId": "sensor3", "value": nil, "status": nil, "location": "warehouse-C"}, // 满足第二个条件
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{"deviceId": "sensor4", "value": nil, "status": "inactive", "location": "warehouse-D"}, // 不满足条件
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{"deviceId": "sensor5", "value": 30.0, "status": nil, "location": "office-A"}, // 满足第一个条件
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}
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for _, data := range testData {
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ssql.Stream().Emit(data)
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}
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// 使用超时方式安全收集结果
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var results []map[string]interface{}
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timeout := time.After(500 * time.Millisecond)
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collecting:
|
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for {
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select {
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case result := <-resultChan:
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if resultSlice, ok := result.([]map[string]interface{}); ok {
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results = append(results, resultSlice...)
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}
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case <-timeout:
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break collecting
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}
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}
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// 验证结果：应该有sensor1, sensor3, sensor5
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assert.Len(t, results, 3, "应该有3个结果")
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expectedDeviceIds := []string{"sensor1", "sensor3", "sensor5"}
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actualDeviceIds := make([]string, len(results))
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||
for i, result := range results {
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actualDeviceIds[i] = result["deviceId"].(string)
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}
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for _, expectedId := range expectedDeviceIds {
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assert.Contains(t, actualDeviceIds, expectedId, "结果应该包含设备ID %s", expectedId)
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}
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}
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// TestCaseWhenWithIsNull 测试CASE WHEN表达式中使用IS NULL和IS NOT NULL
|
||
func TestCaseWhenWithIsNull(t *testing.T) {
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||
testCases := []struct {
|
||
name string
|
||
sql string
|
||
testData []map[string]interface{}
|
||
expected []map[string]interface{}
|
||
}{
|
||
{
|
||
name: "CASE WHEN IS NULL基本测试",
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||
sql: `SELECT deviceId,
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||
CASE WHEN status IS NULL THEN 0
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||
WHEN status IS NOT NULL THEN 1
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||
ELSE 2 END as status_flag
|
||
FROM stream`,
|
||
testData: []map[string]interface{}{
|
||
{"deviceId": "sensor1", "status": "active"},
|
||
{"deviceId": "sensor2", "status": nil},
|
||
{"deviceId": "sensor3", "status": "inactive"},
|
||
{"deviceId": "sensor4"}, // 没有status字段
|
||
},
|
||
expected: []map[string]interface{}{
|
||
{"deviceId": "sensor1", "status_flag": 1.0},
|
||
{"deviceId": "sensor2", "status_flag": 0.0},
|
||
{"deviceId": "sensor3", "status_flag": 1.0},
|
||
{"deviceId": "sensor4", "status_flag": 0.0},
|
||
},
|
||
},
|
||
{
|
||
name: "CASE WHEN IS NOT NULL复杂条件测试",
|
||
sql: `SELECT deviceId,
|
||
CASE WHEN temperature IS NOT NULL AND temperature > 25 THEN 2
|
||
WHEN temperature IS NOT NULL AND temperature <= 25 THEN 1
|
||
WHEN temperature IS NULL THEN 0
|
||
ELSE 3 END as temp_level
|
||
FROM stream`,
|
||
testData: []map[string]interface{}{
|
||
{"deviceId": "sensor1", "temperature": 30.0},
|
||
{"deviceId": "sensor2", "temperature": 20.0},
|
||
{"deviceId": "sensor3", "temperature": nil},
|
||
{"deviceId": "sensor4"}, // 没有temperature字段
|
||
},
|
||
expected: []map[string]interface{}{
|
||
{"deviceId": "sensor1", "temp_level": 2.0},
|
||
{"deviceId": "sensor2", "temp_level": 1.0},
|
||
{"deviceId": "sensor3", "temp_level": 0.0},
|
||
{"deviceId": "sensor4", "temp_level": 0.0},
|
||
},
|
||
},
|
||
{
|
||
name: "多个CASE WHEN IS NULL条件测试",
|
||
sql: `SELECT deviceId,
|
||
CASE WHEN status IS NULL AND temperature IS NULL THEN 0
|
||
WHEN status IS NULL AND temperature IS NOT NULL THEN 1
|
||
WHEN status IS NOT NULL AND temperature IS NULL THEN 2
|
||
WHEN status IS NOT NULL AND temperature IS NOT NULL THEN 3
|
||
ELSE 4 END as combined_flag
|
||
FROM stream`,
|
||
testData: []map[string]interface{}{
|
||
{"deviceId": "sensor1", "status": "active", "temperature": 25.0},
|
||
{"deviceId": "sensor2", "status": "active", "temperature": nil},
|
||
{"deviceId": "sensor3", "status": nil, "temperature": 30.0},
|
||
{"deviceId": "sensor4", "status": nil, "temperature": nil},
|
||
{"deviceId": "sensor5"}, // 两个字段都不存在
|
||
},
|
||
expected: []map[string]interface{}{
|
||
{"deviceId": "sensor1", "combined_flag": 3.0},
|
||
{"deviceId": "sensor2", "combined_flag": 2.0},
|
||
{"deviceId": "sensor3", "combined_flag": 1.0},
|
||
{"deviceId": "sensor4", "combined_flag": 0.0},
|
||
{"deviceId": "sensor5", "combined_flag": 0.0},
|
||
},
|
||
},
|
||
{
|
||
name: "CASE WHEN IS NULL与聚合函数结合测试",
|
||
sql: `SELECT deviceType,
|
||
COUNT(*) as total_count,
|
||
SUM(CASE WHEN value IS NULL THEN 1 ELSE 0 END) as null_count,
|
||
SUM(CASE WHEN value IS NOT NULL THEN 1 ELSE 0 END) as non_null_count
|
||
FROM stream
|
||
GROUP BY deviceType, TumblingWindow('2s')`,
|
||
testData: []map[string]interface{}{
|
||
{"deviceType": "temperature", "value": 25.0},
|
||
{"deviceType": "temperature", "value": nil},
|
||
{"deviceType": "temperature", "value": 27.0},
|
||
{"deviceType": "humidity", "value": 60.0},
|
||
{"deviceType": "humidity", "value": nil},
|
||
{"deviceType": "humidity", "value": nil},
|
||
},
|
||
expected: []map[string]interface{}{
|
||
{
|
||
"deviceType": "temperature",
|
||
"total_count": 3.0,
|
||
"null_count": 1.0,
|
||
"non_null_count": 2.0,
|
||
},
|
||
{
|
||
"deviceType": "humidity",
|
||
"total_count": 3.0,
|
||
"null_count": 2.0,
|
||
"non_null_count": 1.0,
|
||
},
|
||
},
|
||
},
|
||
}
|
||
|
||
for _, tc := range testCases {
|
||
t.Run(tc.name, func(t *testing.T) {
|
||
// 创建StreamSQL实例
|
||
ssql := New()
|
||
defer ssql.Stop()
|
||
|
||
// 执行SQL
|
||
err := ssql.Execute(tc.sql)
|
||
require.NoError(t, err)
|
||
|
||
// 收集结果
|
||
var results []map[string]interface{}
|
||
resultChan := make(chan interface{}, 10)
|
||
|
||
ssql.Stream().AddSink(func(result interface{}) {
|
||
resultChan <- result
|
||
})
|
||
|
||
// 添加测试数据
|
||
for _, data := range tc.testData {
|
||
ssql.Stream().Emit(data)
|
||
}
|
||
|
||
// 使用超时方式安全收集结果
|
||
var timeout time.Duration
|
||
if tc.name == "CASE WHEN IS NULL与聚合函数结合测试" {
|
||
timeout = 4 * time.Second // 聚合查询需要更长时间
|
||
} else {
|
||
timeout = 500 * time.Millisecond
|
||
}
|
||
|
||
timeoutChan := time.After(timeout)
|
||
|
||
collecting:
|
||
for {
|
||
select {
|
||
case result := <-resultChan:
|
||
if resultSlice, ok := result.([]map[string]interface{}); ok {
|
||
results = append(results, resultSlice...)
|
||
}
|
||
case <-timeoutChan:
|
||
break collecting
|
||
}
|
||
}
|
||
|
||
// 验证结果数量
|
||
assert.Len(t, results, len(tc.expected), "结果数量应该匹配")
|
||
|
||
// 对于聚合查询，验证逻辑略有不同
|
||
if tc.name == "CASE WHEN IS NULL与聚合函数结合测试" {
|
||
// 验证每个deviceType的结果
|
||
for _, expectedResult := range tc.expected {
|
||
expectedDeviceType := expectedResult["deviceType"].(string)
|
||
|
||
// 在结果中找到对应的deviceType
|
||
var actualResult map[string]interface{}
|
||
for _, result := range results {
|
||
if result["deviceType"].(string) == expectedDeviceType {
|
||
actualResult = result
|
||
break
|
||
}
|
||
}
|
||
|
||
require.NotNil(t, actualResult, "应该找到设备类型 %s 的结果", expectedDeviceType)
|
||
|
||
// 验证各个统计值
|
||
assert.Equal(t, expectedResult["total_count"], actualResult["total_count"],
|
||
"设备类型 %s 的total_count应该匹配", expectedDeviceType)
|
||
assert.Equal(t, expectedResult["null_count"], actualResult["null_count"],
|
||
"设备类型 %s 的null_count应该匹配", expectedDeviceType)
|
||
assert.Equal(t, expectedResult["non_null_count"], actualResult["non_null_count"],
|
||
"设备类型 %s 的non_null_count应该匹配", expectedDeviceType)
|
||
}
|
||
} else {
|
||
// 验证普通查询的结果
|
||
expectedDeviceIds := make([]string, len(tc.expected))
|
||
for i, exp := range tc.expected {
|
||
expectedDeviceIds[i] = exp["deviceId"].(string)
|
||
}
|
||
|
||
actualDeviceIds := make([]string, len(results))
|
||
for i, result := range results {
|
||
actualDeviceIds[i] = result["deviceId"].(string)
|
||
}
|
||
|
||
// 验证每个期望的设备ID都在结果中
|
||
for _, expectedId := range expectedDeviceIds {
|
||
assert.Contains(t, actualDeviceIds, expectedId, "结果应该包含设备ID %s", expectedId)
|
||
}
|
||
|
||
// 验证每个结果的字段值
|
||
for _, result := range results {
|
||
deviceId := result["deviceId"].(string)
|
||
// 找到对应的期望结果
|
||
var expectedResult map[string]interface{}
|
||
for _, exp := range tc.expected {
|
||
if exp["deviceId"].(string) == deviceId {
|
||
expectedResult = exp
|
||
break
|
||
}
|
||
}
|
||
|
||
if expectedResult != nil {
|
||
for key, expectedValue := range expectedResult {
|
||
if key != "deviceId" { // deviceId已经验证过了
|
||
actualValue := result[key]
|
||
assert.Equal(t, expectedValue, actualValue,
|
||
"设备 %s 的字段 %s 值应该匹配: 期望 %v, 实际 %v", deviceId, key, expectedValue, actualValue)
|
||
}
|
||
}
|
||
}
|
||
}
|
||
}
|
||
})
|
||
}
|
||
}
|
||
|
||
// TestNullComparisons 测试 = nil、!= nil、= null、!= null 等语法
|
||
func TestNullComparisons(t *testing.T) {
|
||
testCases := []struct {
|
||
name string
|
||
sql string
|
||
testData []map[string]interface{}
|
||
expected []map[string]interface{}
|
||
}{
|
||
{
|
||
name: "fieldName = nil 测试",
|
||
sql: "SELECT deviceId, value FROM stream WHERE value = nil",
|
||
testData: []map[string]interface{}{
|
||
{"deviceId": "sensor1", "value": 25.5},
|
||
{"deviceId": "sensor2", "value": nil},
|
||
{"deviceId": "sensor3", "value": 30.0},
|
||
{"deviceId": "sensor4", "value": nil},
|
||
},
|
||
expected: []map[string]interface{}{
|
||
{"deviceId": "sensor2", "value": nil},
|
||
{"deviceId": "sensor4", "value": nil},
|
||
},
|
||
},
|
||
{
|
||
name: "fieldName != nil 测试",
|
||
sql: "SELECT deviceId, value FROM stream WHERE value != nil",
|
||
testData: []map[string]interface{}{
|
||
{"deviceId": "sensor1", "value": 25.5},
|
||
{"deviceId": "sensor2", "value": nil},
|
||
{"deviceId": "sensor3", "value": 30.0},
|
||
{"deviceId": "sensor4", "value": nil},
|
||
},
|
||
expected: []map[string]interface{}{
|
||
{"deviceId": "sensor1", "value": 25.5},
|
||
{"deviceId": "sensor3", "value": 30.0},
|
||
},
|
||
},
|
||
{
|
||
name: "fieldName = null 测试",
|
||
sql: "SELECT deviceId, value FROM stream WHERE value = null",
|
||
testData: []map[string]interface{}{
|
||
{"deviceId": "sensor1", "value": 25.5},
|
||
{"deviceId": "sensor2", "value": nil},
|
||
{"deviceId": "sensor3", "value": 30.0},
|
||
{"deviceId": "sensor4", "value": nil},
|
||
},
|
||
expected: []map[string]interface{}{
|
||
{"deviceId": "sensor2", "value": nil},
|
||
{"deviceId": "sensor4", "value": nil},
|
||
},
|
||
},
|
||
{
|
||
name: "fieldName != null 测试",
|
||
sql: "SELECT deviceId, value FROM stream WHERE value != null",
|
||
testData: []map[string]interface{}{
|
||
{"deviceId": "sensor1", "value": 25.5},
|
||
{"deviceId": "sensor2", "value": nil},
|
||
{"deviceId": "sensor3", "value": 30.0},
|
||
{"deviceId": "sensor4", "value": nil},
|
||
},
|
||
expected: []map[string]interface{}{
|
||
{"deviceId": "sensor1", "value": 25.5},
|
||
{"deviceId": "sensor3", "value": 30.0},
|
||
},
|
||
},
|
||
{
|
||
name: "嵌套字段 = nil 测试",
|
||
sql: "SELECT deviceId, device.location FROM stream WHERE device.location = nil",
|
||
testData: []map[string]interface{}{
|
||
{
|
||
"deviceId": "sensor1",
|
||
"device": map[string]interface{}{
|
||
"location": "warehouse-A",
|
||
},
|
||
},
|
||
{
|
||
"deviceId": "sensor2",
|
||
"device": map[string]interface{}{
|
||
"location": nil,
|
||
},
|
||
},
|
||
{
|
||
"deviceId": "sensor3",
|
||
"device": map[string]interface{}{},
|
||
},
|
||
},
|
||
expected: []map[string]interface{}{
|
||
{"deviceId": "sensor2", "device.location": nil},
|
||
{"deviceId": "sensor3", "device.location": nil}, // 字段不存在也被认为是null
|
||
},
|
||
},
|
||
{
|
||
name: "嵌套字段 != nil 测试",
|
||
sql: "SELECT deviceId, device.location FROM stream WHERE device.location != nil",
|
||
testData: []map[string]interface{}{
|
||
{
|
||
"deviceId": "sensor1",
|
||
"device": map[string]interface{}{
|
||
"location": "warehouse-A",
|
||
},
|
||
},
|
||
{
|
||
"deviceId": "sensor2",
|
||
"device": map[string]interface{}{
|
||
"location": nil,
|
||
},
|
||
},
|
||
{
|
||
"deviceId": "sensor3",
|
||
"device": map[string]interface{}{},
|
||
},
|
||
},
|
||
expected: []map[string]interface{}{
|
||
{"deviceId": "sensor1", "device.location": "warehouse-A"},
|
||
},
|
||
},
|
||
{
|
||
name: "组合条件 - != nil AND 其他条件",
|
||
sql: "SELECT deviceId, value, status FROM stream WHERE value != nil AND value > 20",
|
||
testData: []map[string]interface{}{
|
||
{"deviceId": "sensor1", "value": 25.5, "status": "active"},
|
||
{"deviceId": "sensor2", "value": nil, "status": "active"},
|
||
{"deviceId": "sensor3", "value": 15.0, "status": "inactive"},
|
||
{"deviceId": "sensor4", "value": 30.0, "status": "active"},
|
||
},
|
||
expected: []map[string]interface{}{
|
||
{"deviceId": "sensor1", "value": 25.5, "status": "active"},
|
||
{"deviceId": "sensor4", "value": 30.0, "status": "active"},
|
||
},
|
||
},
|
||
{
|
||
name: "组合条件 - = nil OR 其他条件",
|
||
sql: "SELECT deviceId, value, status FROM stream WHERE value = nil OR status = 'error'",
|
||
testData: []map[string]interface{}{
|
||
{"deviceId": "sensor1", "value": 25.5, "status": "active"},
|
||
{"deviceId": "sensor2", "value": nil, "status": "active"},
|
||
{"deviceId": "sensor3", "value": 30.0, "status": "error"},
|
||
{"deviceId": "sensor4", "value": nil, "status": "inactive"},
|
||
},
|
||
expected: []map[string]interface{}{
|
||
{"deviceId": "sensor2", "value": nil, "status": "active"},
|
||
{"deviceId": "sensor3", "value": 30.0, "status": "error"},
|
||
{"deviceId": "sensor4", "value": nil, "status": "inactive"},
|
||
},
|
||
},
|
||
}
|
||
|
||
for _, tc := range testCases {
|
||
t.Run(tc.name, func(t *testing.T) {
|
||
// 创建StreamSQL实例
|
||
ssql := New()
|
||
defer ssql.Stop()
|
||
|
||
// 执行SQL
|
||
err := ssql.Execute(tc.sql)
|
||
require.NoError(t, err)
|
||
|
||
// 收集结果
|
||
var results []map[string]interface{}
|
||
resultChan := make(chan interface{}, 10)
|
||
|
||
ssql.Stream().AddSink(func(result interface{}) {
|
||
resultChan <- result
|
||
})
|
||
|
||
// 添加测试数据
|
||
for _, data := range tc.testData {
|
||
ssql.Stream().Emit(data)
|
||
}
|
||
|
||
// 使用超时方式安全收集结果
|
||
timeout := time.After(500 * time.Millisecond)
|
||
|
||
collecting:
|
||
for {
|
||
select {
|
||
case result := <-resultChan:
|
||
if resultSlice, ok := result.([]map[string]interface{}); ok {
|
||
results = append(results, resultSlice...)
|
||
}
|
||
case <-timeout:
|
||
break collecting
|
||
}
|
||
}
|
||
|
||
// 验证结果数量
|
||
assert.Len(t, results, len(tc.expected), "结果数量应该匹配")
|
||
|
||
// 验证结果内容（不依赖顺序）
|
||
expectedDeviceIds := make([]string, len(tc.expected))
|
||
for i, exp := range tc.expected {
|
||
expectedDeviceIds[i] = exp["deviceId"].(string)
|
||
}
|
||
|
||
actualDeviceIds := make([]string, len(results))
|
||
for i, result := range results {
|
||
actualDeviceIds[i] = result["deviceId"].(string)
|
||
}
|
||
|
||
// 验证每个期望的设备ID都在结果中
|
||
for _, expectedId := range expectedDeviceIds {
|
||
assert.Contains(t, actualDeviceIds, expectedId, "结果应该包含设备ID %s", expectedId)
|
||
}
|
||
|
||
// 验证每个结果的字段值
|
||
for _, result := range results {
|
||
deviceId := result["deviceId"].(string)
|
||
// 找到对应的期望结果
|
||
var expectedResult map[string]interface{}
|
||
for _, exp := range tc.expected {
|
||
if exp["deviceId"].(string) == deviceId {
|
||
expectedResult = exp
|
||
break
|
||
}
|
||
}
|
||
|
||
if expectedResult != nil {
|
||
for key, expectedValue := range expectedResult {
|
||
actualValue := result[key]
|
||
assert.Equal(t, expectedValue, actualValue,
|
||
"设备 %s 的字段 %s 值应该匹配: 期望 %v, 实际 %v", deviceId, key, expectedValue, actualValue)
|
||
}
|
||
}
|
||
}
|
||
})
|
||
}
|
||
}
|
||
|
||
// TestNullComparisonInAggregation 测试聚合查询中的 = nil 和 != nil
|
||
func TestNullComparisonInAggregation(t *testing.T) {
|
||
ssql := New()
|
||
defer ssql.Stop()
|
||
|
||
// 聚合查询：统计非空值的数量
|
||
sql := `SELECT deviceType,
|
||
COUNT(*) as total_count,
|
||
COUNT(value) as non_null_count
|
||
FROM stream
|
||
WHERE value != nil
|
||
GROUP BY deviceType, TumblingWindow('2s')`
|
||
|
||
err := ssql.Execute(sql)
|
||
require.NoError(t, err)
|
||
|
||
// 收集结果
|
||
resultChan := make(chan interface{}, 10)
|
||
ssql.Stream().AddSink(func(result interface{}) {
|
||
resultChan <- result
|
||
})
|
||
|
||
// 添加测试数据
|
||
testData := []map[string]interface{}{
|
||
{"deviceType": "temperature", "value": 25.5},
|
||
{"deviceType": "temperature", "value": nil},
|
||
{"deviceType": "temperature", "value": 27.0},
|
||
{"deviceType": "humidity", "value": 60.0},
|
||
{"deviceType": "humidity", "value": nil},
|
||
}
|
||
|
||
for _, data := range testData {
|
||
ssql.Stream().Emit(data)
|
||
}
|
||
|
||
// 等待窗口触发
|
||
time.Sleep(3 * time.Second)
|
||
|
||
// 验证结果
|
||
select {
|
||
case result := <-resultChan:
|
||
resultSlice, ok := result.([]map[string]interface{})
|
||
require.True(t, ok, "结果应该是[]map[string]interface{}类型")
|
||
|
||
// 应该有temperature和humidity两种类型的结果
|
||
assert.GreaterOrEqual(t, len(resultSlice), 1, "应该至少有一个聚合结果")
|
||
|
||
for _, item := range resultSlice {
|
||
deviceType := item["deviceType"]
|
||
totalCount, _ := item["total_count"].(float64)
|
||
nonNullCount, _ := item["non_null_count"].(float64)
|
||
|
||
if deviceType == "temperature" {
|
||
// temperature有2个非空值（25.5, 27.0）
|
||
assert.Equal(t, 2.0, totalCount, "temperature总数应该是2")
|
||
assert.Equal(t, 2.0, nonNullCount, "temperature非空数应该是2")
|
||
} else if deviceType == "humidity" {
|
||
// humidity有1个非空值（60.0）
|
||
assert.Equal(t, 1.0, totalCount, "humidity总数应该是1")
|
||
assert.Equal(t, 1.0, nonNullCount, "humidity非空数应该是1")
|
||
}
|
||
}
|
||
case <-time.After(5 * time.Second):
|
||
t.Fatal("测试超时，未收到聚合结果")
|
||
}
|
||
}
|
||
|
||
// TestMixedNullComparisons 测试混合使用 IS NULL、= nil、= null、!= null 等语法
|
||
func TestMixedNullComparisons(t *testing.T) {
|
||
ssql := New()
|
||
defer ssql.Stop()
|
||
|
||
// 测试混合null比较语法
|
||
sql := `SELECT deviceId, value, status, priority
|
||
FROM stream
|
||
WHERE (value IS NOT NULL AND value > 20) OR
|
||
(status = nil AND priority != null)`
|
||
|
||
err := ssql.Execute(sql)
|
||
require.NoError(t, err)
|
||
|
||
resultChan := make(chan interface{}, 10)
|
||
ssql.Stream().AddSink(func(result interface{}) {
|
||
resultChan <- result
|
||
})
|
||
|
||
// 添加测试数据
|
||
testData := []map[string]interface{}{
|
||
{"deviceId": "sensor1", "value": 25.0, "status": "active", "priority": "high"}, // 满足第一个条件
|
||
{"deviceId": "sensor2", "value": 15.0, "status": "active", "priority": "low"}, // 不满足条件
|
||
{"deviceId": "sensor3", "value": nil, "status": nil, "priority": "medium"}, // 满足第二个条件
|
||
{"deviceId": "sensor4", "value": nil, "status": nil, "priority": nil}, // 不满足条件
|
||
{"deviceId": "sensor5", "value": 30.0, "status": "inactive", "priority": nil}, // 满足第一个条件
|
||
{"deviceId": "sensor6", "value": 10.0, "status": nil, "priority": "urgent"}, // 满足第二个条件
|
||
}
|
||
|
||
for _, data := range testData {
|
||
ssql.Stream().Emit(data)
|
||
}
|
||
|
||
// 使用超时方式安全收集结果
|
||
var results []map[string]interface{}
|
||
timeout := time.After(500 * time.Millisecond)
|
||
|
||
collecting:
|
||
for {
|
||
select {
|
||
case result := <-resultChan:
|
||
if resultSlice, ok := result.([]map[string]interface{}); ok {
|
||
results = append(results, resultSlice...)
|
||
}
|
||
case <-timeout:
|
||
break collecting
|
||
}
|
||
}
|
||
|
||
// 验证结果：应该有sensor1, sensor3, sensor5, sensor6
|
||
assert.Len(t, results, 4, "应该有4个结果")
|
||
|
||
expectedDeviceIds := []string{"sensor1", "sensor3", "sensor5", "sensor6"}
|
||
actualDeviceIds := make([]string, len(results))
|
||
for i, result := range results {
|
||
actualDeviceIds[i] = result["deviceId"].(string)
|
||
}
|
||
|
||
for _, expectedId := range expectedDeviceIds {
|
||
assert.Contains(t, actualDeviceIds, expectedId, "结果应该包含设备ID %s", expectedId)
|
||
}
|
||
}
|