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问题描述
我正尝试使用JOOQ来查询Hive。
Hive SQL方言对于MySQL方言来说是相当沉重的。
现在我遇到了这些问题:
solution - 覆盖 select.limit(limit);
这样的问题在JOOQ?
解决方案
这是最脏的解决方案:) JOOQ用户组不幸回答:
public class CountRatingQueryBuilder {
private static final String SCORING_TABLE_NAME =web_resource_rating;
private final Connection连接;
private final ScoringMetadata scoringMetadata;
private final SelectSelectStep select;
private final Factory create;
$ b $ public CountRatingQueryBuilder(Connection connection ,ScoringMetadata scoringMetadata){
this.connection = connection;
this.scoringMetadata = scoringMetadata;
crea te = new Factory(this.connection,SQLDialect.MYSQL);
select = create.select();
withSelectFieldsClause();
Public CountRatingQueryBuilder withLimit(int limit){
select.limit(limit);
返回此;
}
public CountRatingQueryBuilder withRegionId(Integer regionId){
select.where(REGION_ID.field()。equal(regionId));
返回此;
}
public CountRatingQueryBuilder withResourceTypeId(int resourceTypeId){
select.where(RESOURCE_TYPE_ID.field()。equal(resourceTypeId));
返回此;
CountRatingQueryBuilder withRequestTimeBetween(long beginTimestamp,long endTimestamp){
select.where(REQUEST_TIME.field()。between(beginTimestamp,endTimestamp));
返回此;
public CountRatingQueryBuilder withResourceId(int resourceId){
select.where(RESOURCE_ID.field()。equal(resourceId));
返回此;
protected void withGroupByClause(){
select.groupBy(REGION_ID.field());
select.groupBy(RESOURCE_TYPE_ID.field());
select.groupBy(RESOURCE_ID.field());
select.groupBy(CONTENT_ID.field());
protected void withSelectFieldsClause(){
select.select(REGION_ID.field());
select.select(RESOURCE_TYPE_ID.field());
select.select(CONTENT_ID.field());
select.select(RESOURCE_ID.field());
select.select(Factory.count(HIT_COUNT.field())。as(SUM_HIT_COUNT.fieldName()));
protected void withFromClause(){
select.from(SCORING_TABLE_NAME);
protected void withOrderByClause(){
select.orderBy(SUM_HIT_COUNT.field()。desc());
}
public String build(){
withGroupByClause();
withOrderByClause();
withFromClause();
返回select.getSQL()。replace(offset?,); //对MySQL方言进行肮脏的破解。 TODO:我们可以尝试为Hive实现我们自己的SQL方言:)
}
public List< ResultRow> buildAndFetch(){
String sqlWithPlaceholders = build();
列表< ResultRow> scoringResults = new ArrayList< ResultRow>(100);
列表< Record> recordResults = create.fetch(sqlWithPlaceholders,ArrayUtils.subarray(select.getBindValues()。toArray(new Object [select.getBindValues()。size()]),0,select.getBindValues()。size() - 1)) ; // select.fetch(); (记录记录:recordResults){
ResultRowBuilder resultRowBuilder = ResultRowBuilder.create();
resultRowBuilder.withContentType(scoringMetadata.getResourceType(record.getValue(RESOURCE_TYPE_ID.fieldName(),Integer.class)));
resultRowBuilder.withHitCount(record.getValue(SUM_HIT_COUNT.fieldName(),Long.class));
resultRowBuilder.withUrl(record.getValue(CONTENT_ID.fieldName(),String.class));
scoringResults.add(resultRowBuilder.build());
}
return scoringResults;
}
}
I'm trying to use JOOQ for quering Hive.Hive SQL dialect is pretty clode to MySQL dialect.Right now I've met these problems:
- Hive supports LIMIT N, it doesn't support LIMIT N OFFSET K. Dummysolution - override select.limit(limit);
What are best practices resolving such problems in JOOQ?
解决方案
Here is the dirtiest solution :) JOOQ user group didn't answer unfortunately :(
public class CountRatingQueryBuilder {
private static final String SCORING_TABLE_NAME = "web_resource_rating";
private final Connection connection;
private final ScoringMetadata scoringMetadata;
private final SelectSelectStep select;
private final Factory create;
public CountRatingQueryBuilder(Connection connection, ScoringMetadata scoringMetadata){
this.connection = connection;
this.scoringMetadata = scoringMetadata;
create = new Factory(this.connection, SQLDialect.MYSQL);
select = create.select();
withSelectFieldsClause();
}
public CountRatingQueryBuilder withLimit(int limit){
select.limit(limit);
return this;
}
public CountRatingQueryBuilder withRegionId(Integer regionId){
select.where(REGION_ID.field().equal(regionId));
return this;
}
public CountRatingQueryBuilder withResourceTypeId(int resourceTypeId){
select.where(RESOURCE_TYPE_ID.field().equal(resourceTypeId));
return this;
}
public CountRatingQueryBuilder withRequestTimeBetween(long beginTimestamp, long endTimestamp){
select.where(REQUEST_TIME.field().between(beginTimestamp, endTimestamp));
return this;
}
public CountRatingQueryBuilder withResourceId(int resourceId){
select.where(RESOURCE_ID.field().equal(resourceId));
return this;
}
protected void withGroupByClause(){
select.groupBy(REGION_ID.field());
select.groupBy(RESOURCE_TYPE_ID.field());
select.groupBy(RESOURCE_ID.field());
select.groupBy(CONTENT_ID.field());
}
protected void withSelectFieldsClause(){
select.select(REGION_ID.field());
select.select(RESOURCE_TYPE_ID.field());
select.select(CONTENT_ID.field());
select.select(RESOURCE_ID.field());
select.select(Factory.count(HIT_COUNT.field()).as(SUM_HIT_COUNT.fieldName()));
}
protected void withFromClause(){
select.from(SCORING_TABLE_NAME);
}
protected void withOrderByClause(){
select.orderBy(SUM_HIT_COUNT.field().desc());
}
public String build(){
withGroupByClause();
withOrderByClause();
withFromClause();
return select.getSQL().replace("offset ?","");//dirty hack for MySQL dialect. TODO: we can try to implement our own SQL dialect for Hive :)
}
public List<ResultRow> buildAndFetch(){
String sqlWithPlaceholders = build();
List<ResultRow> scoringResults = new ArrayList<ResultRow>(100);
List<Record> recordResults = create.fetch(sqlWithPlaceholders, ArrayUtils.subarray(select.getBindValues().toArray(new Object[select.getBindValues().size()]),0, select.getBindValues().size()-1));//select.fetch();
for(Record record : recordResults){
ResultRowBuilder resultRowBuilder = ResultRowBuilder.create();
resultRowBuilder.withContentType(scoringMetadata.getResourceType(record.getValue(RESOURCE_TYPE_ID.fieldName(), Integer.class)));
resultRowBuilder.withHitCount(record.getValue(SUM_HIT_COUNT.fieldName(), Long.class));
resultRowBuilder.withUrl(record.getValue(CONTENT_ID.fieldName(), String.class));
scoringResults.add(resultRowBuilder.build());
}
return scoringResults;
}
}
这篇关于jooq扩展现有的方言。采用MySQL方言来apache Hive方言的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持!