[英]Spring JPA slow query with Oracle using like and upper
我遇到了一个优化问题,我想不通为什么我的查询这么慢。
在生产中搜索document.name
时,如果没有结果且没有IDX_DOC_NAME_UPPER
,应用程序大约需要 4 分钟。 对于IDX_DOC_NAME_UPPER
,它可以在 40s 到 2m 之间变化。 在sqlplus中,有索引大约需要 3-4 秒,没有索引需要 8-9 秒。
DOCUMENTS
包含大约 2M 条记录和ACTIVITIES
7M 条记录。
-- DOCUMENTS
CREATE TABLE DOCUMENTS
(
ID NUMBER(16) PRIMARY KEY,
NAME VARCHAR(1024) NOT NULL,
DOC_SIZE NUMBER(16) NOT NULL,
CREATED TIMESTAMP NOT NULL
);
CREATE INDEX IDX_DOC_NAME_UPPER ON DOCUMENTS (UPPER(NAME));
-- USERS
CREATE TABLE USERS
(
ID NUMBER(16) PRIMARY KEY,
CNAME VARCHAR(256) NOT NULL
--others, removed for brevity
);
-- ACTIVITIES
CREATE TABLE ACTIVITIES
(
ID NUMBER(16) PRIMARY KEY,
USR_ID NUMBER(16) references USERS (ID) NOT NULL,
DOC_ID NUMBER(16) references DOCUMENTS (ID),
PRT_ID NUMBER(16) references USERS (ID) NOT NULL
--others, removed for brevity
);
CREATE INDEX IDX_ACT_USR_ID ON ACTIVITIES (USR_ID);
CREATE INDEX IDX_ACT_DOC_ID ON ACTIVITIES (DOC_ID);
-- LOGS
CREATE VIEW V_LOGS AS
SELECT CNAME,
ACTIVITIES.USR_ID,
PRT_ID,
DOC_ID
--others, removed for brevity
FROM ACTIVITIES,
USERS
WHERE USERS.ID = ACTIVITIES.USR_ID;
@Data
@Entity
@NoArgsConstructor
@Table(name = "USERS")
@SequenceGenerator(allocationSize = 1, name = "USERS_ID", sequenceName = "USERS_ID")
public class User {
@Id
@Column(name = "ID", nullable = false)
@GeneratedValue(strategy = GenerationType.SEQUENCE, generator = "USERS_ID")
private Long id;
@NotNull
@Column(name = "CNAME", nullable = false, length = 256)
private String cname;
}
@Entity
@Getter
@Immutable
@Table(name = "V_LOGS")
public class LogsView {
@Id
@Column(name = "USR_ID", nullable = false)
private long usrId;
@Column(name = "PRT_ID", nullable = false)
private long prtId;
@Column(name = "DOC_ID")
private Long docId;
@ManyToOne
@JoinColumn(name = "USR_ID",
nullable = false,
insertable = false,
updatable = false)
private User user;
@ManyToOne
@JoinColumn(name = "PRT_ID",
nullable = false,
insertable = false,
updatable = false)
private User partner;
@ManyToOne
@JoinColumn(name = "DOC_ID",
insertable = false,
updatable = false)
private Document document;
//others, removed for brevity
}
@Data
@Entity
@NoArgsConstructor
@AllArgsConstructor
@Table(name = "DOCUMENTS")
@SequenceGenerator(allocationSize = 1, name = "DOCUMENTS_ID", sequenceName = "DOCUMENTS_ID")
public class Document {
@Id
@Column(name = "ID", nullable = false)
@GeneratedValue(strategy = GenerationType.SEQUENCE, generator = "DOCUMENTS_ID")
private Long id;
@Column(name = "NAME", nullable = false, length = 1024)
private String name;
@Column(name = "DOC_SIZE", nullable = false)
private long size;
@Temporal(TemporalType.TIMESTAMP)
@Column(name = "CREATED", nullable = false)
private Date created;
//others, removed for brevity
}
@RequiredArgsConstructor
public class LogsSpecification implements Specification<LogsView> {
private final List<SimpleFilter> filters;
@Override
public Predicate toPredicate(Root<LogsView> root,
CriteriaQuery<?> criteriaQuery,
CriteriaBuilder criteriaBuilder) {
if (CollectionUtils.isEmpty(filters)) return null;
Predicate[] predicates = filters.stream()
.filter(Objects::nonNull)
.map(filter -> getPredicate(filter, root, criteriaBuilder))
.toArray(Predicate[]::new);
return criteriaBuilder.and(predicates);
}
private Predicate getPredicate(SimpleFilter filter,
Root<LogsView> root,
CriteriaBuilder builder) {
Objects.requireNonNull(filter.getName());
Predicate predicate;
String[] keys = filter.getName().split("\\.");
if (filter.getPredicate() == LIKE) {
predicate = builder.like(
builder.upper(PredicateUtils.getChildPath(root, keys)),
("%" + filter.getValue() + "%").toUpperCase());
} else {
predicate = builder.equal(
PredicateUtils.getChildPath(root, keys),
filter.getValue());
}
//others, removed for brevity
return predicate;
}
}
@Repository
public interface LogsRepository extends ReadOnlyRepository<LogsView, Long>, JpaSpecificationExecutor<Logs> {}
@Service
@RequiredArgsConstructor
public class LogsService {
private final LogsRepository logsRepository;
private final ObjectMapper mapper;
private final Pattern pattern = Pattern.compile("-?\\d+(\\.\\d+)?");
public Page<LogsDto> paginated(String name, String value) {
var type = isNumeric(value) ? SimpleFilter.PredicateType.EQUAL : SimpleFilter.PredicateType.LIKE;
var filter = new SimpleFilter(name, value, type);
return logsRepository
.findAll(new LogsSpecification(List.of(filter)), Pageable.ofSize(10))
.map(en -> mapper.convertValue(en, LogsDto.class));
}
private boolean isNumeric(String strNum) {
return strNum != null && pattern.matcher(strNum).matches();
}
}
-- Hibernate:
-- executing 5 JDBC statements;
select *
from (select * -- removed for brevity
from v_logs v_logs0_
cross join documents document1_
where v_logs0_.doc_id = document1_.id
and (
upper(document1_.name) like ?
)
and (
v_logs0_.usr_id in (4, 72, 76, 123, 147, 199, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22)
)
and v_logs0_.usr_id <> 1
order by v_logs0_.usr_id asc)
where rownum <= ?
document.name
过滤器,第 10 页1.228738106 seconds
document.name
过滤器,第 10 页和结果2.900642325 seconds
document.name
过滤器,第 10 页,没有结果Without IDX_DOC_NAME_UPPER: 240.123813697 seconds, sqlpus: 8-9 seconds
With IDX_DOC_NAME_UPPER: 110.123813697(not stable), seconds sqlpus: 3-4 seconds
我用代码结构重新创建了一个简单的应用程序,您可以在此链接中找到它: demo-oracle-slow 。
谢谢
1. LIKE 很慢
在您的实现中,您使用LIKE '%string%'
。 索引搜索失败。
LIKE 搜索示例:
使用LIKE 'string%'
而不是LIKE '%string%'
。 如果您指定前导字符,则 Oracle 更有可能使用上层索引执行查询 - 这将提高性能。
另一种选择是尝试创建一个反向文本索引,以防您的姓名字段包含多个单词。 请参阅CTXCAT 索引文档。 请注意表 memory 的空间将显着增加。
2. Hibernate正在生成cross join
Hibernate 正在生成cross join
的第二个问题。 它需要避免。
在您的条件中使用JoinType.INNER
。
另一种解决方案是定义 Entity Graph。 例子。
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