feat: 增加 抽取模式视图 后台缓存

This commit is contained in:
fit2cloud-chenyw 2021-06-28 16:47:16 +08:00
parent a4d512bb18
commit d840266320
7 changed files with 88 additions and 9 deletions

View File

@ -2,9 +2,16 @@ package io.dataease.base.mapper.ext;
import io.dataease.controller.request.chart.ChartViewRequest;
import io.dataease.dto.chart.ChartViewDTO;
import org.apache.ibatis.annotations.Mapper;
import org.apache.ibatis.annotations.Param;
import org.apache.ibatis.annotations.Select;
import java.util.List;
@Mapper
public interface ExtChartViewMapper {
List<ChartViewDTO> search(ChartViewRequest request);
@Select("select id from chart_view where table_id = #{tableId}")
List<String> allViewIds(@Param("tableId") String tableId);
}

View File

@ -0,0 +1,6 @@
package io.dataease.commons.constants;
public class JdbcConstants {
public final static String VIEW_CACHE_KEY = "view_cache";
}

View File

@ -10,7 +10,6 @@ import io.dataease.datasource.request.DatasourceRequest;
import io.dataease.exception.DataEaseException;
import org.apache.commons.lang3.StringUtils;
import org.springframework.stereotype.Service;
import java.beans.PropertyVetoException;
import java.sql.*;
import java.util.*;
@ -22,14 +21,29 @@ public class JdbcProvider extends DatasourceProvider {
private static int initPoolSize = 5;
private static int maxConnections = 200;
/**
* 增加缓存机制 key 'provider_sql_' dsr.datasource.id dsr.table dsr.query共4部分组成命中则使用缓存直接返回不再执行sql逻辑
* @param dsr
* @return
* @throws Exception
*/
/**
* 这里使用声明式缓存不是很妥当
* 改为chartViewService中使用编程式缓存
@Cacheable(
value = JdbcConstants.JDBC_PROVIDER_KEY,
key = "'provider_sql_' + #dsr.datasource.id + '_' + #dsr.table + '_' + #dsr.query",
condition = "#dsr.pageSize == null || #dsr.pageSize == 0L"
)
*/
@Override
public List<String[]> getData(DatasourceRequest datasourceRequest) throws Exception {
public List<String[]> getData(DatasourceRequest dsr) throws Exception {
List<String[]> list = new LinkedList<>();
Connection connection = null;
try {
connection = getConnectionFromPool(datasourceRequest);
connection = getConnectionFromPool(dsr);
Statement stat = connection.createStatement();
ResultSet rs = stat.executeQuery(datasourceRequest.getQuery());
ResultSet rs = stat.executeQuery(dsr.getQuery());
list = fetchResult(rs);
} catch (SQLException e) {
DataEaseException.throwException(e);

View File

@ -24,18 +24,19 @@ public class CacheUtils {
return element.getObjectValue();
}
private static void put(String cacheName, Object key, Object value, Integer ttl, Integer tti) {
public static void put(String cacheName, Object key, Object value, Integer ttl, Integer tti) {
Element e = new Element(key, value);
//不设置则使用xml配置
if (ttl != null)
if (ttl != null) {
e.setEternal(false);
e.setTimeToLive(ttl);
}
if (tti != null)
e.setTimeToIdle(tti);
cache(cacheName).put(e);
}
private static boolean remove(String cacheName, Object key) {
public static boolean remove(String cacheName, Object key) {
return cache(cacheName).remove(key);
}

View File

@ -6,6 +6,7 @@ import io.dataease.base.domain.*;
import io.dataease.base.mapper.ChartViewMapper;
import io.dataease.base.mapper.ext.ExtChartGroupMapper;
import io.dataease.base.mapper.ext.ExtChartViewMapper;
import io.dataease.commons.constants.JdbcConstants;
import io.dataease.commons.utils.AuthUtils;
import io.dataease.commons.utils.BeanUtils;
import io.dataease.commons.utils.CommonBeanFactory;
@ -20,6 +21,7 @@ import io.dataease.datasource.service.DatasourceService;
import io.dataease.dto.chart.*;
import io.dataease.dto.dataset.DataTableInfoDTO;
import io.dataease.i18n.Translator;
import io.dataease.listener.util.CacheUtils;
import io.dataease.provider.QueryProvider;
import io.dataease.service.dataset.DataSetTableFieldsService;
import io.dataease.service.dataset.DataSetTableService;
@ -65,6 +67,10 @@ public class ChartViewService {
chartView.setUpdateTime(timestamp);
chartViewMapper.insertSelective(chartView);
}
Optional.ofNullable(chartView.getId()).ifPresent(id -> {
CacheUtils.remove(JdbcConstants.VIEW_CACHE_KEY, id);
});
return chartView;
}
@ -188,6 +194,17 @@ public class ChartViewService {
}
}
data = datasourceProvider.getData(datasourceRequest);
/**
* 直连不实用缓存
String key = "provider_sql_"+datasourceRequest.getDatasource().getId() + "_" + datasourceRequest.getTable() + "_" +datasourceRequest.getQuery();
Object cache;
if ((cache = CacheUtils.get(JdbcConstants.JDBC_PROVIDER_KEY, key)) == null) {
data = datasourceProvider.getData(datasourceRequest);
CacheUtils.put(JdbcConstants.JDBC_PROVIDER_KEY,key ,data, null, null);
}else {
data = (List<String[]>) cache;
}
*/
} else if (table.getMode() == 1) {// 抽取
// 连接doris构建doris数据源查询
Datasource ds = (Datasource) CommonBeanFactory.getBean("DorisDatasource");
@ -202,7 +219,15 @@ public class ChartViewService {
} else {
datasourceRequest.setQuery(qp.getSQL(tableName, xAxis, yAxis, customFilter, extFilterList));
}
// String key = "provider_sql_"+datasourceRequest.getDatasource().getId() + "_" + datasourceRequest.getTable() + "_" +datasourceRequest.getQuery();
// 定时抽取使用缓存
Object cache;
if ((cache = CacheUtils.get(JdbcConstants.VIEW_CACHE_KEY, id)) == null) {
data = datasourceProvider.getData(datasourceRequest);
CacheUtils.put(JdbcConstants.VIEW_CACHE_KEY, id, data, null, null);
}else {
data = (List<String[]>) cache;
}
}
if (StringUtils.containsIgnoreCase(view.getType(), "pie") && data.size() > 1000) {
data = data.subList(0, 1000);

View File

@ -5,6 +5,8 @@ import io.dataease.base.domain.*;
import io.dataease.base.mapper.DatasetTableMapper;
import io.dataease.base.mapper.DatasetTableTaskMapper;
import io.dataease.base.mapper.DatasourceMapper;
import io.dataease.base.mapper.ext.ExtChartViewMapper;
import io.dataease.commons.constants.JdbcConstants;
import io.dataease.commons.constants.JobStatus;
import io.dataease.commons.constants.ScheduleType;
import io.dataease.commons.constants.UpdateType;
@ -22,6 +24,7 @@ import io.dataease.datasource.provider.ProviderFactory;
import io.dataease.datasource.request.DatasourceRequest;
import io.dataease.dto.dataset.DataTableInfoDTO;
import io.dataease.exception.DataEaseException;
import io.dataease.listener.util.CacheUtils;
import io.dataease.provider.QueryProvider;
import org.apache.commons.collections4.CollectionUtils;
import org.apache.commons.io.FileUtils;
@ -96,6 +99,9 @@ public class ExtractDataService {
@Resource
private DatasetTableTaskMapper datasetTableTaskMapper;
@Resource
private ExtChartViewMapper extChartViewMapper;
private static String lastUpdateTime = "${__last_update_time__}";
private static String currentUpdateTime = "${__current_update_time__}";
private static String separator = "|DE|";
@ -278,6 +284,14 @@ public class ExtractDataService {
}
break;
}
//侵入式清除下属视图缓存
List<String> viewIds = extChartViewMapper.allViewIds(datasetTableId);
if (CollectionUtils.isNotEmpty(viewIds)){
viewIds.forEach(viewId -> {
CacheUtils.remove(JdbcConstants.VIEW_CACHE_KEY, viewId);
});
}
}
private void updateTableStatus(String datasetTableId, DatasetTable datasetTable, JobStatus completed, Long execTime) {

View File

@ -82,5 +82,17 @@
<cacheEventListenerFactory class="io.dataease.listener.LicCacheEventListener" />
</cache>
<cache
name="jdbc_provider_cache"
eternal="false"
maxElementsInMemory="100"
maxElementsOnDisk="10000"
overflowToDisk="true"
diskPersistent="true"
timeToIdleSeconds="28800"
timeToLiveSeconds="86400"
memoryStoreEvictionPolicy="LRU"
/>
</ehcache>