1:为日志查询添加clickhouse数据源
2:为nis.properties中添加 存储分组复用域配置的redisdb属性
This commit is contained in:
21
pom.xml
21
pom.xml
@@ -497,7 +497,7 @@
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<version>2.4</version>
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<classifier>jdk15</classifier>
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</dependency>
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<dependency>
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<groupId>org.apache.hive</groupId>
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<artifactId>hive-jdbc</artifactId>
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@@ -551,7 +551,7 @@
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<artifactId>httpmime</artifactId>
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<version>4.4</version>
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</dependency>
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<!-- spring-data-redis -->
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<dependency>
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<groupId>org.springframework.data</groupId>
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@@ -564,12 +564,19 @@
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<artifactId>fastdfs-client-java</artifactId>
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<version>1.27-SNAPSHOT</version>
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</dependency>
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<dependency>
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<groupId>com.alibaba</groupId>
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<artifactId>druid</artifactId>
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<version>1.1.10</version>
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<groupId>com.alibaba</groupId>
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<artifactId>druid</artifactId>
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<version>1.1.10</version>
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</dependency>
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<!-- clickhouse-jdbc -->
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<dependency>
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<groupId>ru.yandex.clickhouse</groupId>
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<artifactId>clickhouse-jdbc</artifactId>
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<version>0.1.40</version>
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</dependency>
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</dependencies>
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@@ -33,8 +33,8 @@ import com.nis.web.service.SpringContextHolder;
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* @date 2018年8月20日
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*
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*/
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public class HiveJDBCByDruid {
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private final static Logger logger = LoggerFactory.getLogger(HiveJDBCByDruid.class);
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public class LogJDBCByDruid {
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private final static Logger logger = LoggerFactory.getLogger(LogJDBCByDruid.class);
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static DruidDataSource datasource = null;
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Connection conn = null;
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ResultSet rs = null;
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@@ -43,6 +43,7 @@ public class HiveJDBCByDruid {
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public static Connection getConnection() throws SQLException {
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if (datasource == null) {
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datasource = (DruidDataSource) SpringContextHolder.getBean("HiveDataSourceByDruid");
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// datasource = (DruidDataSource) SpringContextHolder.getBean("ClickHouseDataSourceByDruid");
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}
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return datasource.getConnection();
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}
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@@ -91,6 +91,14 @@ public class PropertyPlaceholderConfigurerCrypt extends PropertyPlaceholderConfi
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new String(AESUtil.decrypt(Base64.decodeBase64(clusterPassword), clusterScretKey)));
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}
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//clickhouse
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String clickHousePassword = props.getProperty("jdbc.clickhouse.password");
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String clickHouseScretKey = props.getProperty("jdbc.clickhouse.key");
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if (null != clickHousePassword) {
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props.setProperty("jdbc.clickhouse.password",
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new String(AESUtil.decrypt(Base64.decodeBase64(clickHousePassword), clickHouseScretKey)));
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}
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} catch (Exception e) {
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e.printStackTrace();
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}
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@@ -1,6 +1,5 @@
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package com.nis.web.controller.restful;
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import java.text.SimpleDateFormat;
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import java.util.ArrayList;
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import java.util.HashMap;
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import java.util.List;
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@@ -23,7 +22,7 @@ import com.nis.restful.RestServiceException;
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import com.nis.util.Configurations;
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import com.nis.util.Constants;
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import com.nis.util.DateUtils;
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import com.nis.util.HiveJDBCByDruid;
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import com.nis.util.LogJDBCByDruid;
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import com.nis.util.JsonMapper;
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import com.nis.util.StringUtil;
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import com.nis.web.controller.BaseRestController;
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@@ -77,7 +76,7 @@ public class LogController extends BaseRestController {
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String sql = HiveSqlService.getSql(page, dkBehaviorLog,
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Configurations.getStringProperty(DkBehaviorLog.class.getSimpleName() + "HiveTable", "DK_BEHAVIOR_LOG"),
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getCol2Col(), orderBy, null);
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Map<String, List<Object>> tableMapping = new HiveJDBCByDruid().tableMapping(page, null, sql, DkBehaviorLog.class, "foundTime",
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Map<String, List<Object>> tableMapping = new LogJDBCByDruid().tableMapping(page, null, sql, DkBehaviorLog.class, "foundTime",
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"recvTime");
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if (tableMapping == null) {
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logPage.setList(new ArrayList());
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@@ -130,7 +129,7 @@ public class LogController extends BaseRestController {
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String sql = HiveSqlService.getSql(page, pxyHttpLog,
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Configurations.getStringProperty(PxyHttpLog.class.getSimpleName() + "HiveTable", "PXY_HTTP_LOG"),
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getCol2Col(), orderBy, null);
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Map<String, List<Object>> tableMapping = new HiveJDBCByDruid().tableMapping(page, null, sql, PxyHttpLog.class, "foundTime",
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Map<String, List<Object>> tableMapping = new LogJDBCByDruid().tableMapping(page, null, sql, PxyHttpLog.class, "foundTime",
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"recvTime");
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if (tableMapping == null) {
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logPage.setList(new ArrayList());
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@@ -32,7 +32,7 @@ import com.nis.restful.RestServiceException;
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import com.nis.util.Configurations;
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import com.nis.util.Constants;
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import com.nis.util.DateUtils;
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import com.nis.util.HiveJDBCByDruid;
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import com.nis.util.LogJDBCByDruid;
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import com.nis.util.JsonMapper;
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import com.nis.util.StringUtil;
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import com.nis.web.controller.BaseRestController;
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@@ -85,7 +85,7 @@ public class MmLogSearchController extends BaseRestController {
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String sql = HiveSqlService.getSql(page, mmAvIpLog,
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Configurations.getStringProperty(MmAvIpLog.class.getSimpleName() + "HiveTable", "MM_AV_IP_LOG"),
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getCol2Col(), orderBy, null);
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Map<String, List<Object>> tableMapping = new HiveJDBCByDruid().tableMapping(page, null, sql, MmAvIpLog.class, "foundTime",
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Map<String, List<Object>> tableMapping = new LogJDBCByDruid().tableMapping(page, null, sql, MmAvIpLog.class, "foundTime",
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"recvTime");
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if (tableMapping == null) {
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logPage.setList(new ArrayList());
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@@ -138,7 +138,7 @@ public class MmLogSearchController extends BaseRestController {
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String sql = HiveSqlService.getSql(page, mmAvUrlLog,
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Configurations.getStringProperty(MmAvUrlLog.class.getSimpleName() + "HiveTable", "MM_AV_URL_LOG"),
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getCol2Col(), orderBy, null);
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Map<String, List<Object>> tableMapping = new HiveJDBCByDruid().tableMapping(page, null, sql, MmAvUrlLog.class, "foundTime",
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Map<String, List<Object>> tableMapping = new LogJDBCByDruid().tableMapping(page, null, sql, MmAvUrlLog.class, "foundTime",
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"recvTime");
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if (tableMapping == null) {
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logPage.setList(new ArrayList());
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@@ -191,7 +191,7 @@ public class MmLogSearchController extends BaseRestController {
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String sql = HiveSqlService.getSql(page, mmPicIpLog,
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Configurations.getStringProperty(MmPicIpLog.class.getSimpleName() + "HiveTable", "MM_PIC_IP_LOG"),
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getCol2Col(), orderBy, null);
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Map<String, List<Object>> tableMapping = new HiveJDBCByDruid().tableMapping(page, null, sql, MmPicIpLog.class, "foundTime",
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Map<String, List<Object>> tableMapping = new LogJDBCByDruid().tableMapping(page, null, sql, MmPicIpLog.class, "foundTime",
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"recvTime");
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if (tableMapping == null) {
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logPage.setList(new ArrayList());
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@@ -244,7 +244,7 @@ public class MmLogSearchController extends BaseRestController {
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String sql = HiveSqlService.getSql(page, mmPicUrlLog,
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Configurations.getStringProperty(MmPicUrlLog.class.getSimpleName() + "HiveTable", "MM_PIC_URL_LOG"),
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getCol2Col(), orderBy, null);
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Map<String, List<Object>> tableMapping = new HiveJDBCByDruid().tableMapping(page, null, sql, MmPicUrlLog.class, "foundTime",
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Map<String, List<Object>> tableMapping = new LogJDBCByDruid().tableMapping(page, null, sql, MmPicUrlLog.class, "foundTime",
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"recvTime");
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if (tableMapping == null) {
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logPage.setList(new ArrayList());
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@@ -298,7 +298,7 @@ public class MmLogSearchController extends BaseRestController {
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String sql = HiveSqlService.getSql(page, mmVoipIpLog,
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Configurations.getStringProperty(MmVoipIpLog.class.getSimpleName() + "HiveTable", "MM_VOIP_IP_LOG"),
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getCol2Col(), orderBy, null);
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Map<String, List<Object>> tableMapping = new HiveJDBCByDruid().tableMapping(page, null, sql, MmVoipIpLog.class, "foundTime",
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Map<String, List<Object>> tableMapping = new LogJDBCByDruid().tableMapping(page, null, sql, MmVoipIpLog.class, "foundTime",
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"recvTime");
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if (tableMapping == null) {
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logPage.setList(new ArrayList());
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@@ -351,7 +351,7 @@ public class MmLogSearchController extends BaseRestController {
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String sql = HiveSqlService.getSql(page, mmVoipLog,
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Configurations.getStringProperty(MmVoipAccountLog.class.getSimpleName() + "HiveTable", "MM_VOIP_ACCOUNT_LOG"),
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getCol2Col(), orderBy, null);
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Map<String, List<Object>> tableMapping = new HiveJDBCByDruid().tableMapping(page, null, sql, MmVoipAccountLog.class, "foundTime",
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Map<String, List<Object>> tableMapping = new LogJDBCByDruid().tableMapping(page, null, sql, MmVoipAccountLog.class, "foundTime",
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"recvTime");
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if (tableMapping == null) {
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logPage.setList(new ArrayList());
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@@ -405,7 +405,7 @@ public class MmLogSearchController extends BaseRestController {
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String sql = HiveSqlService.getSql(page, mmSampleAudioLog,
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Configurations.getStringProperty(MmSampleAudioLog.class.getSimpleName() + "HiveTable", "MM_SAMPLE_AUDIO_LOG"),
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getCol2Col(), orderBy, null);
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Map<String, List<Object>> tableMapping = new HiveJDBCByDruid().tableMapping(page, null, sql, MmSampleAudioLog.class, "foundTime",
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Map<String, List<Object>> tableMapping = new LogJDBCByDruid().tableMapping(page, null, sql, MmSampleAudioLog.class, "foundTime",
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"recvTime");
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if (tableMapping == null) {
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logPage.setList(new ArrayList());
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@@ -458,7 +458,7 @@ public class MmLogSearchController extends BaseRestController {
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String sql = HiveSqlService.getSql(page, mmSampleVideoLog,
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Configurations.getStringProperty(MmSampleVideoLog.class.getSimpleName() + "HiveTable", "MM_SAMPLE_VIDEO_LOG"),
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getCol2Col(), orderBy, null);
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Map<String, List<Object>> tableMapping = new HiveJDBCByDruid().tableMapping(page, null, sql, MmSampleVideoLog.class, "foundTime",
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Map<String, List<Object>> tableMapping = new LogJDBCByDruid().tableMapping(page, null, sql, MmSampleVideoLog.class, "foundTime",
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"recvTime");
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if (tableMapping == null) {
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logPage.setList(new ArrayList());
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@@ -511,7 +511,7 @@ public class MmLogSearchController extends BaseRestController {
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String sql = HiveSqlService.getSql(page, mmPornAudioLevelLog,
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Configurations.getStringProperty(MmPornAudioLevelLog.class.getSimpleName() + "HiveTable", "MM_PORN_AUDIO_LEVEL_LOG"),
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getCol2Col(), orderBy, null);
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Map<String, List<Object>> tableMapping = new HiveJDBCByDruid().tableMapping(page, null, sql, MmPornAudioLevelLog.class, "foundTime",
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Map<String, List<Object>> tableMapping = new LogJDBCByDruid().tableMapping(page, null, sql, MmPornAudioLevelLog.class, "foundTime",
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"recvTime");
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if (tableMapping == null) {
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logPage.setList(new ArrayList());
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@@ -564,7 +564,7 @@ public class MmLogSearchController extends BaseRestController {
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String sql = HiveSqlService.getSql(page, mmPornVideoLevelLog,
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Configurations.getStringProperty(MmPornVideoLevelLog.class.getSimpleName() + "HiveTable", "MM_PRON_VIDEO_LOG"),
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getCol2Col(), orderBy, null);
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Map<String, List<Object>> tableMapping = new HiveJDBCByDruid().tableMapping(page, null, sql, MmPornVideoLevelLog.class, "foundTime",
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Map<String, List<Object>> tableMapping = new LogJDBCByDruid().tableMapping(page, null, sql, MmPornVideoLevelLog.class, "foundTime",
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"recvTime");
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if (tableMapping == null) {
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logPage.setList(new ArrayList());
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@@ -618,7 +618,7 @@ public class MmLogSearchController extends BaseRestController {
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String sql = HiveSqlService.getSql(page, mmSamplePicLog,
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Configurations.getStringProperty(MmSamplePicLog.class.getSimpleName() + "HiveTable", "MM_SAMPLE_PIC_LOG"),
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getCol2Col(), orderBy, null);
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Map<String, List<Object>> tableMapping = new HiveJDBCByDruid().tableMapping(page, null, sql, MmSamplePicLog.class, "foundTime",
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Map<String, List<Object>> tableMapping = new LogJDBCByDruid().tableMapping(page, null, sql, MmSamplePicLog.class, "foundTime",
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"recvTime");
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if (tableMapping == null) {
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logPage.setList(new ArrayList());
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@@ -671,7 +671,7 @@ public class MmLogSearchController extends BaseRestController {
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String sql = HiveSqlService.getSql(page, mmSampleVoipLog,
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Configurations.getStringProperty(MmSampleVoipLog.class.getSimpleName() + "HiveTable", "MM_SAMPLE_VOIP_LOG"),
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getCol2Col(), orderBy, null);
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Map<String, List<Object>> tableMapping = new HiveJDBCByDruid().tableMapping(page, null, sql, MmSampleVoipLog.class, "foundTime",
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Map<String, List<Object>> tableMapping = new LogJDBCByDruid().tableMapping(page, null, sql, MmSampleVoipLog.class, "foundTime",
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"recvTime");
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if (tableMapping == null) {
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logPage.setList(new ArrayList());
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@@ -35,7 +35,7 @@ import com.nis.restful.RestServiceException;
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import com.nis.util.Configurations;
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import com.nis.util.Constants;
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import com.nis.util.DateUtils;
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import com.nis.util.HiveJDBCByDruid;
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import com.nis.util.LogJDBCByDruid;
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import com.nis.util.JsonMapper;
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import com.nis.util.StringUtil;
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import com.nis.web.controller.BaseRestController;
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@@ -91,7 +91,7 @@ public class NtcLogSearchController extends BaseRestController {
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String sql = HiveSqlService.getSql(page, ntcIpLog,
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Configurations.getStringProperty(NtcIpLog.class.getSimpleName() + "HiveTable", "ntc_ip_log"),
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getCol2Col(), orderBy, null);
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Map<String, List<Object>> tableMapping = new HiveJDBCByDruid().tableMapping(page, null,sql , NtcIpLog.class, "foundTime",
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Map<String, List<Object>> tableMapping = new LogJDBCByDruid().tableMapping(page, null,sql , NtcIpLog.class, "foundTime",
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"recvTime");
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if (tableMapping == null) {
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ntcIpLogPage.setList(new ArrayList<NtcIpLog>());
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@@ -157,7 +157,7 @@ public class NtcLogSearchController extends BaseRestController {
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String sql = HiveSqlService.getSql(page, ntcHttpLog,
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Configurations.getStringProperty(NtcHttpLog.class.getSimpleName() + "HiveTable", "ntc_http_log"),
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getCol2Col(), orderBy, null);
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Map<String, List<Object>> tableMapping = new HiveJDBCByDruid().tableMapping(page, null, sql, NtcHttpLog.class, "foundTime",
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Map<String, List<Object>> tableMapping = new LogJDBCByDruid().tableMapping(page, null, sql, NtcHttpLog.class, "foundTime",
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"recvTime");
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if (tableMapping == null) {
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ntcHttpLogPage.setList(new ArrayList());
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@@ -217,7 +217,7 @@ public class NtcLogSearchController extends BaseRestController {
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String sql = HiveSqlService.getSql(page, ntcDnsLog,
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Configurations.getStringProperty(NtcDnsLog.class.getSimpleName() + "HiveTable", "ntc_dns_log"),
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getCol2Col(), orderBy, null);
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Map<String, List<Object>> tableMapping = new HiveJDBCByDruid().tableMapping(page, null, sql, NtcDnsLog.class, "foundTime",
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Map<String, List<Object>> tableMapping = new LogJDBCByDruid().tableMapping(page, null, sql, NtcDnsLog.class, "foundTime",
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"recvTime");
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if (tableMapping == null) {
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ntcDnsLogPage.setList(new ArrayList());
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@@ -277,7 +277,7 @@ public class NtcLogSearchController extends BaseRestController {
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String sql = HiveSqlService.getSql(page, ntcMailLog,
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Configurations.getStringProperty(NtcMailLog.class.getSimpleName() + "HiveTable", "ntc_mail_log"),
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getCol2Col(), orderBy, null);
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Map<String, List<Object>> tableMapping = new HiveJDBCByDruid().tableMapping(page, null, sql, NtcMailLog.class, "foundTime",
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Map<String, List<Object>> tableMapping = new LogJDBCByDruid().tableMapping(page, null, sql, NtcMailLog.class, "foundTime",
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"recvTime");
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if (tableMapping == null) {
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ntcMailLogPage.setList(new ArrayList());
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@@ -337,7 +337,7 @@ public class NtcLogSearchController extends BaseRestController {
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String sql = HiveSqlService.getSql(page, ntcSslLog,
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Configurations.getStringProperty(NtcSslLog.class.getSimpleName() + "HiveTable", "ntc_ssl_log"),
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getCol2Col(), orderBy, null);
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Map<String, List<Object>> tableMapping = new HiveJDBCByDruid().tableMapping(page, null, sql, NtcSslLog.class, "foundTime",
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Map<String, List<Object>> tableMapping = new LogJDBCByDruid().tableMapping(page, null, sql, NtcSslLog.class, "foundTime",
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"recvTime");
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if (tableMapping == null) {
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ntcSslLogPage.setList(new ArrayList());
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@@ -397,7 +397,7 @@ public class NtcLogSearchController extends BaseRestController {
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String sql = HiveSqlService.getSql(page, ntcPptpLog,
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Configurations.getStringProperty(NtcPptpLog.class.getSimpleName() + "HiveTable", "ntc_pptp_log"),
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getCol2Col(), orderBy, null);
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Map<String, List<Object>> tableMapping = new HiveJDBCByDruid().tableMapping(page, null, sql, NtcPptpLog.class, "foundTime",
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Map<String, List<Object>> tableMapping = new LogJDBCByDruid().tableMapping(page, null, sql, NtcPptpLog.class, "foundTime",
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"recvTime");
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if (tableMapping == null) {
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ntcPptpLogPage.setList(new ArrayList());
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@@ -456,7 +456,7 @@ public class NtcLogSearchController extends BaseRestController {
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String sql = HiveSqlService.getSql(page, ntcL2tpLog,
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Configurations.getStringProperty(NtcL2tpLog.class.getSimpleName() + "HiveTable", "ntc_l2tp_log"),
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getCol2Col(), orderBy, null);
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Map<String, List<Object>> tableMapping = new HiveJDBCByDruid().tableMapping(page, null, sql, NtcL2tpLog.class, "foundTime",
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Map<String, List<Object>> tableMapping = new LogJDBCByDruid().tableMapping(page, null, sql, NtcL2tpLog.class, "foundTime",
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"recvTime");
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if (tableMapping == null) {
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ntcL2tpLogPage.setList(new ArrayList());
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@@ -516,7 +516,7 @@ public class NtcLogSearchController extends BaseRestController {
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String sql = HiveSqlService.getSql(page, ntcOpenvpnLog,
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Configurations.getStringProperty(NtcOpenvpnLog.class.getSimpleName() + "HiveTable", "ntc_openvpn_log"),
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getCol2Col(), orderBy, null);
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Map<String, List<Object>> tableMapping = new HiveJDBCByDruid().tableMapping(page, null, sql, NtcOpenvpnLog.class, "foundTime",
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Map<String, List<Object>> tableMapping = new LogJDBCByDruid().tableMapping(page, null, sql, NtcOpenvpnLog.class, "foundTime",
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"recvTime");
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if (tableMapping == null) {
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ntcOpenvpnLogPage.setList(new ArrayList());
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@@ -576,7 +576,7 @@ public class NtcLogSearchController extends BaseRestController {
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String sql = HiveSqlService.getSql(page, ntcIpsecLog,
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Configurations.getStringProperty(NtcIpsecLog.class.getSimpleName() + "HiveTable", "ntc_ipsec_log"),
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getCol2Col(), orderBy, null);
|
||||
Map<String, List<Object>> tableMapping = new HiveJDBCByDruid().tableMapping(page, null, sql, NtcIpsecLog.class, "foundTime",
|
||||
Map<String, List<Object>> tableMapping = new LogJDBCByDruid().tableMapping(page, null, sql, NtcIpsecLog.class, "foundTime",
|
||||
"recvTime");
|
||||
if (tableMapping == null) {
|
||||
ntcIpsecLogPage.setList(new ArrayList());
|
||||
@@ -636,7 +636,7 @@ public class NtcLogSearchController extends BaseRestController {
|
||||
String sql = HiveSqlService.getSql(page, ntcSshLog,
|
||||
Configurations.getStringProperty(NtcSshLog.class.getSimpleName() + "HiveTable", "ntc_ssh_log"),
|
||||
getCol2Col(), orderBy, null);
|
||||
Map<String, List<Object>> tableMapping = new HiveJDBCByDruid().tableMapping(page, null, sql, NtcSshLog.class, "foundTime",
|
||||
Map<String, List<Object>> tableMapping = new LogJDBCByDruid().tableMapping(page, null, sql, NtcSshLog.class, "foundTime",
|
||||
"recvTime");
|
||||
if (tableMapping == null) {
|
||||
ntcSshLogPage.setList(new ArrayList());
|
||||
@@ -696,7 +696,7 @@ public class NtcLogSearchController extends BaseRestController {
|
||||
String sql = HiveSqlService.getSql(page, ntcFtpLog,
|
||||
Configurations.getStringProperty(NtcFtpLog.class.getSimpleName() + "HiveTable", "ntc_ftp_log"),
|
||||
getCol2Col(), orderBy, null);
|
||||
Map<String, List<Object>> tableMapping = new HiveJDBCByDruid().tableMapping(page, null, sql, NtcFtpLog.class, "foundTime",
|
||||
Map<String, List<Object>> tableMapping = new LogJDBCByDruid().tableMapping(page, null, sql, NtcFtpLog.class, "foundTime",
|
||||
"recvTime");
|
||||
if (tableMapping == null) {
|
||||
ntcFtpLogPage.setList(new ArrayList());
|
||||
@@ -754,7 +754,7 @@ public class NtcLogSearchController extends BaseRestController {
|
||||
String sql = HiveSqlService.getSql(page, ntcAppLog,
|
||||
Configurations.getStringProperty(NtcAppLog.class.getSimpleName() + "HiveTable", "ntc_app_log"),
|
||||
getCol2Col(), orderBy, null);
|
||||
Map<String, List<Object>> tableMapping = new HiveJDBCByDruid().tableMapping(page, null, sql, NtcAppLog.class, "foundTime",
|
||||
Map<String, List<Object>> tableMapping = new LogJDBCByDruid().tableMapping(page, null, sql, NtcAppLog.class, "foundTime",
|
||||
"recvTime");
|
||||
if (tableMapping == null) {
|
||||
ntcAppLogPage.setList(new ArrayList());
|
||||
@@ -812,7 +812,7 @@ public class NtcLogSearchController extends BaseRestController {
|
||||
String sql = HiveSqlService.getSql(page, ntcDdosLog,
|
||||
Configurations.getStringProperty(NtcDdosLog.class.getSimpleName() + "HiveTable", "ntc_ddos_log"),
|
||||
getCol2Col(), orderBy, null);
|
||||
Map<String, List<Object>> tableMapping = new HiveJDBCByDruid().tableMapping(page, null, sql, NtcDdosLog.class, "foundTime",
|
||||
Map<String, List<Object>> tableMapping = new LogJDBCByDruid().tableMapping(page, null, sql, NtcDdosLog.class, "foundTime",
|
||||
"recvTime");
|
||||
if (tableMapping == null) {
|
||||
ntcDdosLogPage.setList(new ArrayList());
|
||||
@@ -873,7 +873,7 @@ public class NtcLogSearchController extends BaseRestController {
|
||||
Configurations.getStringProperty(NtcP2pLog.class.getSimpleName() + "HiveTable", "ntc_p2p_log"),
|
||||
getCol2Col(), orderBy, null);
|
||||
|
||||
Map<String, List<Object>> tableMapping = new HiveJDBCByDruid().tableMapping(page, null, sql, NtcP2pLog.class, "foundTime",
|
||||
Map<String, List<Object>> tableMapping = new LogJDBCByDruid().tableMapping(page, null, sql, NtcP2pLog.class, "foundTime",
|
||||
"recvTime");
|
||||
if (tableMapping == null) {
|
||||
ntcP2pLogPage.setList(new ArrayList());
|
||||
@@ -934,7 +934,7 @@ public class NtcLogSearchController extends BaseRestController {
|
||||
Configurations.getStringProperty(NtcBgpLog.class.getSimpleName() + "HiveTable", "ntc_bgp_log"),
|
||||
getCol2Col(), orderBy, null);
|
||||
|
||||
Map<String, List<Object>> tableMapping = new HiveJDBCByDruid().tableMapping(page, null, sql, NtcBgpLog.class, "foundTime",
|
||||
Map<String, List<Object>> tableMapping = new LogJDBCByDruid().tableMapping(page, null, sql, NtcBgpLog.class, "foundTime",
|
||||
"recvTime");
|
||||
if (tableMapping == null) {
|
||||
ntcBgpLogPage.setList(new ArrayList());
|
||||
|
||||
@@ -90,33 +90,70 @@
|
||||
<property name="username" value="${jdbc.hive.username}" />
|
||||
<property name="password" value="${jdbc.hive.password}" />
|
||||
<!-- 配置初始化连接池数量 -->
|
||||
<property name="initialSize" value="${druid.hive.initialSize}" />
|
||||
<property name="initialSize" value="${druid.log.initialSize}" />
|
||||
<!-- 配置最小连接池数量 -->
|
||||
<property name="minIdle" value="${druid.hive.minIdle}" />
|
||||
<property name="minIdle" value="${druid.log.minIdle}" />
|
||||
<!-- 配置最大连接池数量 -->
|
||||
<property name="maxActive" value="${druid.hive.maxActive}" />
|
||||
<property name="maxActive" value="${druid.log.maxActive}" />
|
||||
<!-- 配置获取连接等待超时的时间 单位毫秒 -->
|
||||
<property name="maxWait" value="${druid.hive.maxWait}" />
|
||||
<property name="maxWait" value="${druid.log.maxWait}" />
|
||||
<!--使用非公平锁 -->
|
||||
<property name="useUnfairLock" value="${druid.hive.useUnfairLock}" />
|
||||
<property name="useUnfairLock" value="${druid.log.useUnfairLock}" />
|
||||
<!-- 配置间隔多久才进行一次检测,检测需要关闭的空闲连接,单位是毫秒 -->
|
||||
<property name="timeBetweenEvictionRunsMillis" value="${druid.hive.timeBetweenEvictionRunsMillis}" />
|
||||
<property name="timeBetweenEvictionRunsMillis" value="${druid.log.timeBetweenEvictionRunsMillis}" />
|
||||
<!-- 配置一个连接在池中最小生存的时间,单位是毫秒 -->
|
||||
<property name="minEvictableIdleTimeMillis" value="${druid.hive.minEvictableIdleTimeMillis}" />
|
||||
<property name="minEvictableIdleTimeMillis" value="${druid.log.minEvictableIdleTimeMillis}" />
|
||||
<!--用来检测连接是否有效的sql,要求是一个查询语句。 -->
|
||||
<property name="validationQuery" value="${druid.hive.validationQuery}" />
|
||||
<property name="validationQuery" value="${druid.log.validationQuery}" />
|
||||
<!--申请连接的时候检测,如果空闲时间大于timeBetweenEvictionRunsMillis,执行validationQuery检测连接是否有效。 -->
|
||||
<property name="testWhileIdle" value="${druid.hive.testWhileIdle}" />
|
||||
<property name="testWhileIdle" value="${druid.log.testWhileIdle}" />
|
||||
<!--申请连接时执行validationQuery检测连接是否有效, -->
|
||||
<property name="testOnBorrow" value="${druid.hive.testOnBorrow}" />
|
||||
<property name="testOnBorrow" value="${druid.log.testOnBorrow}" />
|
||||
<!--归还连接时执行validationQuery检测连接是否有效, -->
|
||||
<property name="testOnReturn" value="${druid.hive.testOnReturn}" />
|
||||
<property name="testOnReturn" value="${druid.log.testOnReturn}" />
|
||||
<!-- 打开PSCache,并且指定每个连接上PSCache的大小 -->
|
||||
<property name="poolPreparedStatements" value="${druid.hive.poolPreparedStatements}" />
|
||||
<property name="poolPreparedStatements" value="${druid.log.poolPreparedStatements}" />
|
||||
<!--要启用PSCache,必须配置大于0,当大于0时,poolPreparedStatements自动触发修改为true。在Druid中,不会存在Oracle下PSCache占用内存过多的问题,可以把这个数值配置大一些,比如说100 -->
|
||||
<property name="maxOpenPreparedStatements" value="${druid.hive.maxOpenPreparedStatements}" />
|
||||
<property name="maxOpenPreparedStatements" value="${druid.log.maxOpenPreparedStatements}" />
|
||||
<!-- 配置监控统计拦截的filters,去掉后监控界面sql无法统计 -->
|
||||
<property name="filters" value="${druid.hive.filters}" />
|
||||
<property name="filters" value="${druid.log.filters}" />
|
||||
|
||||
</bean>
|
||||
|
||||
<bean id="ClickHouseDataSourceByDruid" class="com.alibaba.druid.pool.DruidDataSource"
|
||||
init-method="init" destroy-method="close">
|
||||
<property name="driverClassName" value="${jdbc.clickhouse.driver}" />
|
||||
<property name="url" value="${jdbc.clickhouse.url}" />
|
||||
<property name="username" value="${jdbc.clickhouse.username}" />
|
||||
<property name="password" value="${jdbc.clickhouse.password}" />
|
||||
<!-- 配置初始化连接池数量 -->
|
||||
<property name="initialSize" value="${druid.log.initialSize}" />
|
||||
<!-- 配置最小连接池数量 -->
|
||||
<property name="minIdle" value="${druid.log.minIdle}" />
|
||||
<!-- 配置最大连接池数量 -->
|
||||
<property name="maxActive" value="${druid.log.maxActive}" />
|
||||
<!-- 配置获取连接等待超时的时间 单位毫秒 -->
|
||||
<property name="maxWait" value="${druid.log.maxWait}" />
|
||||
<!--使用非公平锁 -->
|
||||
<property name="useUnfairLock" value="${druid.log.useUnfairLock}" />
|
||||
<!-- 配置间隔多久才进行一次检测,检测需要关闭的空闲连接,单位是毫秒 -->
|
||||
<property name="timeBetweenEvictionRunsMillis" value="${druid.log.timeBetweenEvictionRunsMillis}" />
|
||||
<!-- 配置一个连接在池中最小生存的时间,单位是毫秒 -->
|
||||
<property name="minEvictableIdleTimeMillis" value="${druid.log.minEvictableIdleTimeMillis}" />
|
||||
<!--用来检测连接是否有效的sql,要求是一个查询语句。 -->
|
||||
<property name="validationQuery" value="${druid.log.validationQuery}" />
|
||||
<!--申请连接的时候检测,如果空闲时间大于timeBetweenEvictionRunsMillis,执行validationQuery检测连接是否有效。 -->
|
||||
<property name="testWhileIdle" value="${druid.log.testWhileIdle}" />
|
||||
<!--申请连接时执行validationQuery检测连接是否有效, -->
|
||||
<property name="testOnBorrow" value="${druid.log.testOnBorrow}" />
|
||||
<!--归还连接时执行validationQuery检测连接是否有效, -->
|
||||
<property name="testOnReturn" value="${druid.log.testOnReturn}" />
|
||||
<!-- 打开PSCache,并且指定每个连接上PSCache的大小 -->
|
||||
<property name="poolPreparedStatements" value="${druid.log.poolPreparedStatements}" />
|
||||
<!--要启用PSCache,必须配置大于0,当大于0时,poolPreparedStatements自动触发修改为true。在Druid中,不会存在Oracle下PSCache占用内存过多的问题,可以把这个数值配置大一些,比如说100 -->
|
||||
<property name="maxOpenPreparedStatements" value="${druid.log.maxOpenPreparedStatements}" />
|
||||
<!-- 配置监控统计拦截的filters,去掉后监控界面sql无法统计 -->
|
||||
<property name="filters" value="${druid.log.filters}" />
|
||||
|
||||
</bean>
|
||||
|
||||
|
||||
@@ -67,36 +67,48 @@ bonecp.hive.acquireIncrement=5
|
||||
bonecp.hive.statementsCacheSize=100
|
||||
|
||||
|
||||
#################日志查询clickhouse数据源信息#############
|
||||
|
||||
#########################配置hive使用druid连接池#########################################
|
||||
jdbc.clickhouse.driver=ru.yandex.clickhouse.ClickHouseDriver
|
||||
jdbc.clickhouse.url=jdbc:clickhouse://clickhouse.baifendian.com:80/k18_ods
|
||||
jdbc.clickhouse.username=
|
||||
jdbc.clickhouse.key=
|
||||
jdbc.clickhouse.password=
|
||||
|
||||
|
||||
|
||||
|
||||
#########################配置日志查询使用druid连接池#########################################
|
||||
#配置初始化连接池数量
|
||||
druid.hive.initialSize=5
|
||||
druid.log.initialSize=5
|
||||
#配置最小连接池数量
|
||||
druid.hive.minIdle=1
|
||||
druid.log.minIdle=1
|
||||
#配置最大连接池数量
|
||||
druid.hive.maxActive=200
|
||||
druid.log.maxActive=200
|
||||
# 配置获取连接等待超时的时间 单位毫秒
|
||||
druid.hive.maxWait=600000
|
||||
druid.log.maxWait=600000
|
||||
#使用非公平锁
|
||||
druid.hive.useUnfairLock=true
|
||||
druid.log.useUnfairLock=true
|
||||
#配置间隔多久才进行一次检测,检测需要关闭的空闲连接,单位是毫秒
|
||||
druid.hive.timeBetweenEvictionRunsMillis=60000
|
||||
druid.log.timeBetweenEvictionRunsMillis=60000
|
||||
#配置一个连接在池中最小生存的时间,单位是毫秒
|
||||
druid.hive.minEvictableIdleTimeMillis=300000
|
||||
#用来检测连接是否有效的sql,要求是一个查询语句
|
||||
druid.hive.validationQuery=select unix_timestamp()
|
||||
druid.log.minEvictableIdleTimeMillis=300000
|
||||
#用来检测连接是否有效的sql,要求是一个查询语句,下面是hive的
|
||||
druid.log.validationQuery=select unix_timestamp()
|
||||
#用来检测连接是否有效的sql,要求是一个查询语句,下面是clickhouse的
|
||||
#druid.log.validationQuery=show tables
|
||||
#申请连接的时候检测,如果空闲时间大于timeBetweenEvictionRunsMillis,执行validationQuery检测连接是否有效
|
||||
druid.hive.testWhileIdle=true
|
||||
druid.log.testWhileIdle=true
|
||||
#申请连接时执行validationQuery检测连接是否有效
|
||||
druid.hive.testOnBorrow=true
|
||||
druid.log.testOnBorrow=true
|
||||
#归还连接时执行validationQuery检测连接是否有效
|
||||
druid.hive.testOnReturn=false
|
||||
druid.log.testOnReturn=false
|
||||
#打开PSCache,并且指定每个连接上PSCache的大小
|
||||
druid.hive.poolPreparedStatements=true
|
||||
druid.log.poolPreparedStatements=true
|
||||
#要启用PSCache,必须配置大于0,当大于0时,poolPreparedStatements自动触发修改为true。在Druid中,不会存在Oracle下PSCache占用内存过多的问题,可以把这个数值配置大一些,比如说100
|
||||
druid.hive.maxOpenPreparedStatements=100
|
||||
druid.log.maxOpenPreparedStatements=100
|
||||
#配置监控统计拦截的filters,去掉后监控界面sql无法统计
|
||||
druid.hive.filters=stat
|
||||
druid.log.filters=stat
|
||||
|
||||
|
||||
|
||||
|
||||
@@ -190,6 +190,8 @@ digest.gen.tool.path=maat-redis/digest_gen
|
||||
maxRedisDBIndex=16
|
||||
##存放编译,分组,域配置id关系的redis数据库编号
|
||||
idRelaRedisDBIndex=15
|
||||
#存储分组复用域配置的redisdb
|
||||
tmpStorageReuseRegionDB=15
|
||||
##阀门配置在redisdb的序号
|
||||
tapRedisDb=7
|
||||
|
||||
|
||||
Reference in New Issue
Block a user