{"type":"segmentation","query":{"approx":false,"sampling_factor":64,"by_fields":[],"filter":{"conditions":[],"filters":[]},"measures":[{"event_name":"$WechatServiceMsgSendDone","aggregator":"general","default_measure_name":"微信客服消息终态信息的总次数","name":"微信客服消息终态信息的总次数","id":0.19417099834966,"type":"normal","openPanel":false},{"events":["$WechatServiceMsgSendDone"],"transformExpression":"count(event.$WechatServiceMsgSendDone)/count(event.$WechatServiceMsgSendDone)|%2p","expression":""event.$WechatServiceMsgSendDone"."count"/"event.$WechatServiceMsgSendDone"."count"","format":"%2p","status":"view","expression_denominator_without_group":false,"isUnSaved":false,"default_measure_name":"自定义指标1","name":"自定义指标1","id":0.07188168726782074,"subjectIdIsUserId":false,"expression_filters":[{},{}],"isExpValid":true}],"from_date":"2023-07-06","to_date":"2023-07-06","compare_to_date":"","unit":"day","detail_and_rollup":true,"enable_detail_follow_rollup_by_values_rank":true,"sub_task_type":"SEGMENTATION","time_zone_mode":"","server_time_zone":""}},神策是怎么根据这些值来生成对应的sql,请给出Java示例,需要可以使用的
时间: 2023-07-21 07:00:23 浏览: 122
根据您提供的参数,以下是一个示例的Java代码,用于生成对应的SQL查询语句:
```java
import org.apache.commons.lang3.StringUtils;
import java.util.ArrayList;
import java.util.List;
public class SegmentationSQLGenerator {
public static String generateSQL(String fromDate, String toDate, List<Measure> measures) {
StringBuilder sqlBuilder = new StringBuilder();
// SELECT clause
sqlBuilder.append("SELECT ");
List<String> selectFields = new ArrayList<>();
selectFields.add("event_name");
for (Measure measure : measures) {
selectFields.add(measure.getExpression());
}
sqlBuilder.append(StringUtils.join(selectFields, ", "));
// FROM clause
sqlBuilder.append(" FROM your_table_name");
// WHERE clause
List<String> whereConditions = new ArrayList<>();
whereConditions.add("event_time >= '" + fromDate + "'");
whereConditions.add("event_time <= '" + toDate + "'");
sqlBuilder.append(" WHERE ").append(StringUtils.join(whereConditions, " AND "));
// GROUP BY clause
sqlBuilder.append(" GROUP BY event_name");
// ORDER BY clause
sqlBuilder.append(" ORDER BY event_name");
return sqlBuilder.toString();
}
public static void main(String[] args) {
String fromDate = "2023-07-06";
String toDate = "2023-07-06";
List<Measure> measures = new ArrayList<>();
measures.add(new Measure("$WechatServiceMsgSendDone", "count(event.$WechatServiceMsgSendDone)/count(event.$WechatServiceMsgSendDone)", "%2p", "自定义指标1"));
String sql = generateSQL(fromDate, toDate, measures);
System.out.println(sql);
}
static class Measure {
private String event;
private String expression;
private String format;
private String name;
public Measure(String event, String expression, String format, String name) {
this.event = event;
this.expression = expression;
this.format = format;
this.name = name;
}
public String getExpression() {
return expression;
}
}
}
```
请注意,这只是一个示例,并不包含完整的错误处理和SQL注入防范措施。您需要根据实际情况进行适当的修改和改进。
阅读全文