在弹簧启动时使用@query更新查询不起作用,尽管没有显示错误

时间:2017-03-09 08:13:34

标签: mysql spring-boot spring-data h2

我正在使用 h2 数据库( MYSQL 投诉)在 spring boot 应用中工作

我有以下存储库

public interface IGrpAvgMetricTimeSeriesRepository extends
    CrudRepository<GrpAvgMetricTimeSeriesEntity, GrpAvgMetricTimeSeriesEntityPK> {

    @Transactional
    @Modifying(clearAutomatically = true)
    @Query(
        "update GrpAvgMetricTimeSeriesEntity ge Set ge.sampleCount = ge.sampleCount + 1 ,ge.sumVal = ge.sumVal + ?1 "
            + "where ge.groupId = ?2 and ge.metric = ?3 and ge.normalizedTimeStamp = ?4 ")
    void updateSumAndCounter(double value, String grpId, String metric, long normalizedTimeStamp);

    @Query("select g from GrpAvgMetricTimeSeriesEntity g where g.normalizedTimeStamp >= ?1 "
        + "and g.normalizedTimeStamp <= ?2 and g.groupId = ?3 and g.metric = ?4 order by g.normalizedTimeStamp ")
    List<GrpAvgMetricTimeSeriesEntity> getPointsBetween(long fromTime, long toTime, String grpId,
        String metric);
}

使用以下实体

@Entity
@IdClass(GrpAvgMetricTimeSeriesEntityPK.class)
public class GrpAvgMetricTimeSeriesEntity {

    @NotNull
    @Id
    private String groupId;

    @NotNull
    @Id
    private String metric;


    @NotNull
    @Id
    private long normalizedTimeStamp;

    @NotNull
    private double sumVal;

    @NotNull
    private long sampleCount;


    public GrpAvgMetricTimeSeriesEntity(){
        //For mapper
    }

    public GrpAvgMetricTimeSeriesEntity(String groupId, String metric, long normalizedTimeStamp,
        float sumVal, long sampleCount) {
        this.groupId = groupId;
        this.metric = metric;
        this.normalizedTimeStamp = normalizedTimeStamp;
        this.sumVal = sumVal;
        this.sampleCount = sampleCount;
    }

    public String getGroupId() {
        return groupId;
    }

    public void setGroupId(String groupId) {
        this.groupId = groupId;
    }

    public String getMetric() {
        return metric;
    }

    public void setMetric(String metric) {
        this.metric = metric;
    }

    public long getNormalizedTimeStamp() {
        return normalizedTimeStamp;
    }

    public void setNormalizedTimeStamp(long normalizedTimeStamp) {
        this.normalizedTimeStamp = normalizedTimeStamp;
    }

    public double getSumVal() {
        return sumVal;
    }

    public void setSumVal(float sumVal) {
        this.sumVal = sumVal;
    }

    public long getSampleCount() {
        return sampleCount;
    }

    public void setSampleCount(long sampleCount) {
        this.sampleCount = sampleCount;
    }

    @Override
    public boolean equals(Object o) {
        if (this == o) {
            return true;
        }
        if (o == null || getClass() != o.getClass()) {
            return false;
        }
        GrpAvgMetricTimeSeriesEntity that = (GrpAvgMetricTimeSeriesEntity) o;
        return normalizedTimeStamp == that.normalizedTimeStamp &&
            Double.compare(that.sumVal, sumVal) == 0 &&
            sampleCount == that.sampleCount &&
            Objects.equal(groupId, that.groupId) &&
            Objects.equal(metric, that.metric);
    }

    @Override
    public int hashCode() {
        return Objects.hashCode(groupId, metric, normalizedTimeStamp, sumVal, sampleCount);
    }

    @Override
    public String toString() {
        return "GrpAvgMetricTimeSeriesEntity{" +
            "groupId='" + groupId + '\'' +
            ", metric='" + metric + '\'' +
            ", normalizedTimeStamp=" + normalizedTimeStamp +
            ", sumVal=" + sumVal +
            ", sampleCount=" + sampleCount +
            '}';
    }
}

以下 sql脚本

create table host_time_series_entity (
    time_stamp long not null,
    host_name varchar(255) not null,
    metric_name varchar(255) not null,
    metric_value double(255),
    primary key (time_stamp, host_name, metric_name)
    );

create table grp_avg_metric_time_series_entity (group_id varchar(255) not null, metric varchar(255) not null, normalized_time_stamp bigint not null, sum_val DOUBLE not null,sample_count bigint not null, primary key(group_id, metric, normalized_time_stamp));

当应用程序运行并且执行此查询时,不会抛出任何异常。

在Jpa单元测试中,一切都在过去。

H2正在使用所有正确的列创建所有模式..

但是,执行查询后,h2中没有更新新行(第二个表的其他repo只是“保存”查询正在运行..)

问题是什么?

感谢您的帮助!!

更新

我认为问题是我需要首先检查表中是否存在该行 - 如果不存在,则更新现有行。

如何使用@Query执行此操作?我看到@SQLinsert的东西,但我无法让它工作!!

helppp :(

1 个答案:

答案 0 :(得分:0)

很难说出这里的问题。

我看到两个主要的候选人:交易的一些问题,所以实际上确实发生了变化,但没有得到提交。或者你的where子句已关闭。

为了调试此激活SQL日志记录和事务日志记录。

此外,删除where子句并检查没有where子句的更新是否有效。如果它确实添加了where子句的元素,则逐个查找有问题的条件。