Spring操作hive和hbase

参考:

Spring-Hadoop项目 http://blog.csdn.net/pelick/article/details/8331798

spring-hadoop之操作hbase http://www.cnblogs.com/zhangyukun/p/3685468.html

代码参考: java 获取 hbase数据 springdatahadoop — hbasetemplate http://blog.csdn.net/linlinv3/article/details/42737113

Java操作Hbase进行建表、删表以及对数据进行增删改查，条件查询 http://javacrazyer.iteye.com/blog/1186881

SHDP–Working With HBase（一）之基本介绍 http://www.cnblogs.com/MOBIN/p/5153086.html
SHDP–Working With HBase (二)之HBase JDBC驱动Phoenix与SpringJDBCTemplate的集成 http://www.cnblogs.com/MOBIN/p/5234816.html
SHDP–Working with HBase(三)之HBase+Phoenix实现分页 http://www.cnblogs.com/MOBIN/p/5235045.html

Java调用Hbase API访问接口 http://openskill.cn/article/176

Java API 与HBase交互实例, 版本比较新: http://blog.csdn.net/xw_classmate/article/details/50807372

pom.xml

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<?xml version="1.0" encoding="UTF-8"?>

<project xmlns="http://maven.apache.org/POM/4.0.0"

xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"

xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">

<groupId>com.pandy.hadoop</groupId>

<artifactId>HadoopApp</artifactId>

<version>1.0-SNAPSHOT</version>

<hadoop.jdbc.version>2.1.0</hadoop.jdbc.version>

<hadoop.version>2.7.3</hadoop.version>

</properties>

<groupId>commons-logging</groupId>

<artifactId>commons-logging</artifactId>

</dependency>

<groupId>org.apache.httpcomponents</groupId>

<artifactId>httpclient</artifactId>

</dependency>

<groupId>org.apache.httpcomponents</groupId>

<artifactId>httpcore</artifactId>

</dependency>

<groupId>org.apache.hadoop</groupId>

<artifactId>hadoop-common</artifactId>

<version>${hadoop.version}</version>

</dependency>

<groupId>org.apache.hadoop</groupId>

<artifactId>hadoop-hdfs</artifactId>

<version>${hadoop.version}</version>

</dependency>

<groupId>org.apache.hadoop</groupId>

<artifactId>hadoop-mapreduce-client-core</artifactId>

<version>${hadoop.version}</version>

</dependency>

<groupId>org.apache.hadoop</groupId>

<artifactId>hadoop-mapreduce-client-jobclient</artifactId>

<version>${hadoop.version}</version>

</dependency>

<groupId>org.apache.hadoop</groupId>

<artifactId>hadoop-mapreduce-client-common</artifactId>

<version>${hadoop.version}</version>

</dependency>

<groupId>org.apache.hive</groupId>

<version>${hadoop.jdbc.version}</version>

<artifactId>pentaho-aggdesigner-algorithm</artifactId>

<groupId>org.pentaho</groupId>

</exclusion>

</exclusions>

</dependency>

<groupId>org.apache.hive</groupId>

<version>${hadoop.jdbc.version}</version>

</dependency>

<groupId>org.apache.hive</groupId>

<artifactId>hive-service</artifactId>

<version>${hadoop.jdbc.version}</version>

</dependency>

<groupId>org.apache.hbase</groupId>

<artifactId>hbase-client</artifactId>

</dependency>

<groupId>org.springframework.data</groupId>

<artifactId>spring-data-jpa</artifactId>

<version>1.10.5.RELEASE</version>

</dependency>

<groupId>org.springframework.data</groupId>

<artifactId>spring-data-hadoop</artifactId>

<version>2.4.0.RELEASE</version>

</dependency>

<!--<dependency>

<groupId>jdk.tools</groupId>

<artifactId>jdk.tools</artifactId>

<scope>system</scope>

<systemPath>${JAVA_HOME}/lib/tools.jar</systemPath>

</dependency>-->

</dependency>

</dependency>

</dependency>

</dependencies>

<build>

<groupId>org.apache.maven.plugins</groupId>

<artifactId>maven-antrun-plugin</artifactId>

<id>hadoop remote run</id>

<phase>verify</phase>

<goals>

</goals>

</exec>

</target>

</configuration>

</execution>

</executions>

</plugin>

</plugins>

</build>

</project>

几个配置文件

log4j.properties

log4j.rootLogger=DEBUG, stdout

log4j.logger.org.apache=DEBUG, stdout

log4j.logger.xdasLogger=DEBUG, xdas

log4j.additivity.org.apache=false

log4j.additivity.xdasLogger=false

log4j.appender.stdout=org.apache.log4j.ConsoleAppender

log4j.appender.stdout.layout=org.apache.log4j.PatternLayout

log4j.appender.stdout.layout.ConversionPattern=%m%n

log4j.appender.xdas=org.apache.log4j.ConsoleAppender

log4j.appender.xdas.layout=org.apache.log4j.PatternLayout

log4j.appender.xdas.layout.ConversionPattern=%d %-5p %c - %m%n

hbase-site.xml

<?xml version="1.0"?>

<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>

<name>hbase.zookeeper.quorum</name>

</property>

<name>hbase.zookeeper.property.clientPort</name>

</property>

<name>zookeeper.znode.parent</name>

<value>/hbase-unsecure</value>

</property>

</configuration>

spring-hadoop.xml

<?xml version="1.0" encoding="UTF-8"?>

<beans xmlns="http://www.springframework.org/schema/beans"

xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"

xmlns:hdp="http://www.springframework.org/schema/hadoop"

xmlns:beans="http://www.springframework.org/schema/beans"

xsi:schemaLocation="

http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans.xsd

http://www.springframework.org/schema/hadoop http://www.springframework.org/schema/hadoop/spring-hadoop.xsd">

<hdp:configuration resources="classpath:/hbase-site.xml"/>

<hdp:hbase-configuration configuration-ref="hadoopConfiguration"/>

</property>

</bean>

</bean>

</bean>

</bean>

</bean>

</beans>

package com.pandy.hadoop.hbase.def;/**

* Created by pandy on 16-11-17.

import java.util.ArrayList;

import java.util.List;

/**

* 项目名称: workspace * 功能说明:

* 创建者: Pandy,

* 邮箱: panyongzheng@163.com, 1453261799@qq.com

* 版权:

* 官网:

* 创建日期: 16-11-17.

* 创建时间: 下午10:00.

* 修改历史:

* -----------------------------------------------

public class HbaseFamily {

private String familyName;

private List<String> qualifiers;

public void addQualifier(String qualifier){

if(qualifiers==null)

qualifiers= new ArrayList<String>();

qualifiers.add(qualifier);

}

public String getFamilyName() {

return familyName;

}

public void setFamilyName(String familyName) {

this.familyName = familyName;

}

public List<String> getQualifiers() {

return qualifiers;

}

public void setQualifiers(List<String> qualifiers) {

this.qualifiers = qualifiers;

}

@Override

public String toString() {

return "HbaseFamily{" +

"familyName='" + familyName + '\'' +

", qualifiers=" + qualifiers +

'}';

}

package com.pandy.hadoop.hbase.def;/**

* Created by pandy on 16-11-17.

import java.util.ArrayList;

import java.util.List;

/**

* 项目名称: workspace * 功能说明:

* 创建者: Pandy,

* 邮箱: panyongzheng@163.com, 1453261799@qq.com

* 版权:

* 官网:

* 创建日期: 16-11-17.

* 创建时间: 下午10:00.

* 修改历史:

* -----------------------------------------------

public class HbaseFamily {

private String familyName;

private List<String> qualifiers;

public void addQualifier(String qualifier){

if(qualifiers==null)

qualifiers= new ArrayList<String>();

qualifiers.add(qualifier);

}

public String getFamilyName() {

return familyName;

}

public void setFamilyName(String familyName) {

this.familyName = familyName;

}

public List<String> getQualifiers() {

return qualifiers;

}

public void setQualifiers(List<String> qualifiers) {

this.qualifiers = qualifiers;

}

@Override

public String toString() {

return "HbaseFamily{" +

"familyName='" + familyName + '\'' +

", qualifiers=" + qualifiers +

'}';

}

package com.pandy.hadoop.hbase.domain;

public class HbaseColumnData {

private String key;

private String familyName;

private String qualifier;

private String value;

private long timestamp;

public String getKey() {

return key;

}

public void setKey(String key) {

this.key = key;

}

public String getFamilyName() {

return familyName;

}

public void setFamilyName(String familyName) {

this.familyName = familyName;

}

public String getQualifier() {

return qualifier;

}

public void setQualifier(String qualifier) {

this.qualifier = qualifier;

}

public String getValue() {

return value;

}

public void setValue(String value) {

this.value = value;

}

public long getTimestamp() {

return timestamp;

}

public void setTimestamp(long timestamp) {

this.timestamp = timestamp;

}

@Override

public String toString() {

return "HbaseColumn{" +

"key='" + key + '\'' +

", familyName='" + familyName + '\'' +

", qualifier='" + qualifier + '\'' +

", value='" + value + '\'' +

", timestamp=" + timestamp +

'}';

}

package com.pandy.hadoop.hbase.domain;/**

* Created by pandy on 16-11-15.

import java.util.List;

/**

* 项目名称: workspace * 功能说明:

* 创建者: Pandy,

* 邮箱: panyongzheng@163.com, 1453261799@qq.com

* 版权:

* 官网:

* 创建日期: 16-11-15.

* 创建时间: 上午9:22.

* 修改历史:

* -----------------------------------------------

public class HbaseRowData {

private String key;

private List<HbaseColumnData> columns;

public HbaseColumnData getColumn(String familyName, String qualifier) {

if (columns == null)

return null;

for (HbaseColumnData column : columns) {

if (column.getFamilyName().equals(familyName)

&& column.getQualifier().equals(qualifier)) {

return column;

}

return null;

}

public String getKey() {

return key;

}

public void setKey(String key) {

this.key = key;

}

public List<HbaseColumnData> getColumns() {

return columns;

}

public void setColumns(List<HbaseColumnData> columns) {

this.columns = columns;

}

@Override

public String toString() {

return "HbaseRow{" +

"key='" + key + '\'' +

", columns=" + columns +

'}';

}

package com.pandy.hadoop.hbase.mapper;/**

* Created by pandy on 16-11-15.

import com.pandy.hadoop.hbase.domain.HbaseColumnData;

import org.apache.hadoop.hbase.Cell;

import org.apache.hadoop.hbase.client.Result;

import org.apache.hadoop.hbase.util.Bytes;

import org.springframework.data.hadoop.hbase.RowMapper;

import java.util.List;

/**

* 项目名称: workspace * 功能说明:

* 创建者: Pandy,

* 邮箱: panyongzheng@163.com, 1453261799@qq.com

* 版权:

* 官网:

* 创建日期: 16-11-15.

* 创建时间: 上午9:47.

* 修改历史:

* -----------------------------------------------

public class CustomColumnMapper implements RowMapper<HbaseColumnData> {

public HbaseColumnData mapRow(Result result, int rowNum) throws Exception {

HbaseColumnData column = new HbaseColumnData();

List<Cell> ceList = result.listCells();

if (ceList != null && ceList.size() > 0) {

for (Cell cell : ceList) {

String key = Bytes.toString(cell.getRowArray(), cell.getRowOffset(), cell.getRowLength());

String value = Bytes.toString(cell.getValueArray(), cell.getValueOffset(), cell.getValueLength());

String family = Bytes.toString(cell.getFamilyArray(), cell.getFamilyOffset(), cell.getFamilyLength());

String qualifier = Bytes.toString(cell.getQualifierArray(), cell.getQualifierOffset(), cell.getQualifierLength());

long timestamp = cell.getTimestamp();

column.setKey(key);

column.setValue(value);

column.setFamilyName(family);

column.setQualifier(qualifier);

column.setTimestamp(timestamp);

break;

}

return column;

}

package com.pandy.hadoop.hbase.mapper;/**

* Created by pandy on 16-11-15.

import com.pandy.hadoop.hbase.domain.HbaseColumnData;

import com.pandy.hadoop.hbase.domain.HbaseRowData;

import org.apache.hadoop.hbase.Cell;

import org.apache.hadoop.hbase.client.Result;

import org.apache.hadoop.hbase.util.Bytes;

import org.springframework.data.hadoop.hbase.RowMapper;

import java.util.ArrayList;

import java.util.List;

/**

* 项目名称: workspace * 功能说明:

* 创建者: Pandy,

* 邮箱: panyongzheng@163.com, 1453261799@qq.com

* 版权:

* 官网:

* 创建日期: 16-11-15.

* 创建时间: 上午9:47.

* 修改历史:

* -----------------------------------------------

public class CustomRowMapper implements RowMapper<HbaseRowData> {

public HbaseRowData mapRow(Result result, int rowNum) throws Exception {

HbaseRowData row = new HbaseRowData();

List<HbaseColumnData> columns = new ArrayList<HbaseColumnData>();

List<Cell> ceList = result.listCells();

if (ceList != null && ceList.size() > 0) {

for (Cell cell : ceList) {

String key = Bytes.toString(cell.getRowArray(), cell.getRowOffset(), cell.getRowLength());

String value = Bytes.toString(cell.getValueArray(), cell.getValueOffset(), cell.getValueLength());

String family = Bytes.toString(cell.getFamilyArray(), cell.getFamilyOffset(), cell.getFamilyLength());

String qualifier = Bytes.toString(cell.getQualifierArray(), cell.getQualifierOffset(), cell.getQualifierLength());

long timestamp = cell.getTimestamp();

HbaseColumnData column = new HbaseColumnData();

column.setKey(key);

column.setValue(value);

column.setFamilyName(family);

column.setQualifier(qualifier);

column.setTimestamp(timestamp);

if (row.getKey() == null) {

row.setKey(key);

}

columns.add(column);

}

row.setColumns(columns);

return row;

}

package com.pandy.hadoop.hbase;

import org.springframework.jdbc.core.JdbcTemplate;

import java.util.List;

import java.util.Map;

public class HiveService {

private JdbcTemplate hiveTemplate;

public List<Map<String, Object>> getAllUser() {

List<Map<String, Object>> list = hiveTemplate.queryForList("select * from t ");

for (Map<String, Object> row : list) {

System.out.println("读取一行数据:" + row.get("t.id") + "\t" + row.get("t.name") + "\t" + row.get("t.idx"));

}

return list;

}

public void createUser(Integer id, String name, Integer idx) {

String sql = "insert into t(id,name,idx) values(" + id + ",'" + name + "'," + idx + ")";

hiveTemplate.execute(sql);

}

public void createOvverUser(Integer id, String name, Integer idx) {

String sql = "insert OVERWRITE t(id,name,idx) values(" + id + ",'" + name + "'," + idx + ")";

hiveTemplate.execute(sql);

}

public void deleteAllUser() {

String sql = "truncate table t";

hiveTemplate.execute(sql);

}

/**

* hive不支持delete

* @param id

@Deprecated

public void deleteUser(Integer id) {

String sql = "delete from t where id=" + id;

hiveTemplate.execute(sql);

}

/**

* hive不支持update

* @param id

* @param name

* @param idx

@Deprecated

public void updateUser(Integer id, String name, Integer idx) {

String sql = "update t set idx=" + idx + ", name='" + name + "' where id=" + id;

hiveTemplate.execute(sql);

}

public JdbcTemplate getHiveTemplate() {

return hiveTemplate;

}

public void setHiveTemplate(JdbcTemplate hiveTemplate) {

this.hiveTemplate = hiveTemplate;

}

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package com.pandy.hadoop.hbase;

import com.pandy.hadoop.hbase.def.HbaseFamily;

import com.pandy.hadoop.hbase.def.HbaseTable;

import com.pandy.hadoop.hbase.domain.HbaseColumnData;

import com.pandy.hadoop.hbase.domain.HbaseRowData;

import com.pandy.hadoop.hbase.mapper.CustomColumnMapper;

import com.pandy.hadoop.hbase.mapper.CustomRowMapper;

import org.apache.hadoop.hbase.*;

import org.apache.hadoop.hbase.client.*;

import org.apache.hadoop.hbase.filter.Filter;

import org.apache.hadoop.hbase.filter.FilterList;

import org.apache.hadoop.hbase.util.Bytes;

import org.springframework.data.hadoop.hbase.HbaseTemplate;

import org.springframework.data.hadoop.hbase.TableCallback;

import java.io.IOException;

import java.util.*;

public class HbaseService {

private HbaseTemplate hbaseTemplate;

/**

* 检查表是否存在

* @param tableName

* @return

public boolean existTable(String tableName) {

HBaseAdmin hBaseAdmin = null;

try {

hBaseAdmin = new HBaseAdmin(hbaseTemplate.getConfiguration());

boolean isExist = hBaseAdmin.tableExists(tableName);

return isExist;

} catch (Exception e) {

e.printStackTrace();

} finally {

if (hBaseAdmin != null) {

try {

hBaseAdmin.close();

} catch (Exception e) {

e.printStackTrace();

}

return false;

}

/**

* 创建表

public void createTable(HbaseTable table) {

if (table.getFamilies() == null || table.getFamilies().size() == 0) {

return;

}

List<HbaseFamily> families = table.getFamilies();

try {

HBaseAdmin hBaseAdmin = new HBaseAdmin(hbaseTemplate.getConfiguration());

//已经存在,就增加列, 新建一个表

if (existTable(table.getTableName())) {// 如果存在要创建的表，那么先删除，再创建

System.out.println("修改表:"+table.getTableName());

Collection<HColumnDescriptor> existFamilies = hBaseAdmin.getTableDescriptor(table.getTableName().getBytes()).getFamilies();

for (HbaseFamily family : families) {

Iterator<HColumnDescriptor> it = existFamilies.iterator();

boolean isExist = false;

while (it.hasNext()) {

HColumnDescriptor descriptor = it.next();

if (descriptor.getNameAsString().equalsIgnoreCase(family.getFamilyName())) {

isExist = true;

break;

}

if (!isExist) {

//不存在才增加

System.out.println("增加列族:" + family.getFamilyName());

hBaseAdmin.addColumn(table.getTableName(), new HColumnDescriptor(family.getFamilyName()));

}

} else {

System.out.println("增加表:"+table.getTableName());

HTableDescriptor tableDescriptor = new HTableDescriptor(table.getTableName());

for (HbaseFamily family : families) {

System.out.println("增加列族:" + family.getFamilyName());

tableDescriptor.addFamily(new HColumnDescriptor(family.getFamilyName()));

}

hBaseAdmin.createTable(tableDescriptor);

}

} catch (Exception e) {

e.printStackTrace();

}

System.out.println("完成创建或者完成修改表");

}

/**

* 删除表

* @param tableName

public void dropTable(String tableName) {

try {

HBaseAdmin admin = new HBaseAdmin(hbaseTemplate.getConfiguration());

admin.disableTable(tableName);

admin.deleteTable(tableName);

} catch (MasterNotRunningException e) {

e.printStackTrace();

} catch (ZooKeeperConnectionException e) {

e.printStackTrace();

} catch (IOException e) {

e.printStackTrace();

}

/**

* 写数据

* @param tableName

* @param action

* @return

public Boolean put(String tableName, final HbaseColumnData model, TableCallback<Boolean> action) {

return hbaseTemplate.execute(tableName, new TableCallback<Boolean>() {

public Boolean doInTable(HTableInterface table) throws Throwable {

//这里得到table, 可以做非常多的故事

boolean flag = false;

try {

byte[] rowkey = model.getKey().getBytes();

Put put = new Put(rowkey);

//put.add(Bytes.toBytes(model.getFamilyName()), Bytes.toBytes(model.getQualifier()), Bytes.toBytes(model.getValue()));

put.addColumn(Bytes.toBytes(model.getFamilyName()), Bytes.toBytes(model.getQualifier()), Bytes.toBytes(model.getValue()));

table.put(put);

flag = true;

} catch (Exception e) {

e.printStackTrace();

}

return flag;

}

});

}

/**

* 删除某一行

* @param tableName

* @param rowName

* @return

public boolean delete(String tableName, String rowName) {

Delete delete = new Delete(rowName.getBytes());

return delete(tableName, delete);

}

/**

* 根据需求删除数据

* @param tableName

* @param delete

* @return

public boolean delete(String tableName, final Delete delete) {

return hbaseTemplate.execute(tableName, new TableCallback<Boolean>() {

public Boolean doInTable(HTableInterface table) throws Throwable {

//这里得到table, 可以做非常多的故事

boolean flag = false;

try {

table.delete(delete);

flag = true;

} catch (Exception e) {

e.printStackTrace();

}

return flag;

}

});

}

/**

* 删除列族数据

* @param tableName

* @param rowName

* @param familyName

public void delete(String tableName, String rowName, String familyName) {

hbaseTemplate.delete(tableName, rowName, familyName);

}

/**

* 删除列族里面某一列的数据

* @param tableName

* @param rowName

* @param familyName

* @param qualifierName

public void delete(String tableName, String rowName, String familyName, String qualifierName) {

hbaseTemplate.delete(tableName, rowName, familyName, qualifierName);

}

/**

* 通过表名和key获取一行数据

* 包含一列以上

* @param tableName

* @param rowName

* @return

public HbaseRowData get(String tableName, String rowName) {

return hbaseTemplate.get(tableName, rowName, new CustomRowMapper());

}

/**

* 通过表名 key 和列族和列获取一个数据

* 只包含一列

* @param tableName

* @param rowName

* @param familyName

* @param qualifier

* @return

public HbaseColumnData get(String tableName, String rowName, String familyName, String qualifier) {

return hbaseTemplate.get(tableName, rowName, familyName, qualifier, new CustomColumnMapper());

}

public List<HbaseRowData> scan(String tableName) {

return scan(tableName, null, null);

}

/**

* 通过表名，开始行键和结束行键获取数据

* @param tableName

* @param startRow

* @param stopRow

* @return

public List<HbaseRowData> scan(String tableName, String startRow, String stopRow) {

Date d1 = new Date();

Scan scan = new Scan();

if (startRow == null) {

startRow = "";

}

if (stopRow == null) {

stopRow = "";

}

scan.setStartRow(Bytes.toBytes(startRow));

scan.setStopRow(Bytes.toBytes(stopRow));

List<HbaseRowData> list = hbaseTemplate.find(tableName, scan, new CustomRowMapper());

Date d2 = new Date();

System.out.println("查询消耗: "+((d2.getTime()-d1.getTime())*1.0/1000)+" s");

return list;

}

public List<HbaseRowData> scanValueByFilter(String tableName, Filter filter) throws IOException {

return scanValueByMultipleFilter(tableName, filter);

}

public List<HbaseRowData> scanValueByMultipleFilter(String tableName, Filter... filterArr) throws IOException {

Date d1 = new Date();

List<HbaseRowData> list = new ArrayList<HbaseRowData>();

HTable table = new HTable(hbaseTemplate.getConfiguration(), tableName);

FilterList filters = new FilterList();

for (Filter filter : filterArr) {

filters.addFilter(filter);

}

Scan scan = new Scan();

scan.setFilter(filters);

ResultScanner resultScanner = table.getScanner(scan);

for (Result rs : resultScanner) {

HbaseRowData rowData = new HbaseRowData();

rowData.setKey(new String(rs.getRow()));

List<HbaseColumnData> columns = new ArrayList<HbaseColumnData>();

HbaseColumnData columnData = null;

Cell cell=null;

columnData = new HbaseColumnData();

columnData.setKey(rowData.getKey());

columnData.setFamilyName("main");

columnData.setQualifier("name");

cell = rs.getColumnLatestCell(columnData.getFamilyName().getBytes(), columnData.getQualifier().getBytes());

columnData.setValue(getString(cell == null ? null : cell.getValue()));

columnData.setTimestamp(cell == null ? 0 : cell.getTimestamp());

columns.add(columnData);

columnData = new HbaseColumnData();

columnData.setKey(rowData.getKey());

columnData.setFamilyName("main");

columnData.setQualifier("title");

cell = rs.getColumnLatestCell(columnData.getFamilyName().getBytes(), columnData.getQualifier().getBytes());

columnData.setValue(getString(cell == null ? null : cell.getValue()));

columnData.setTimestamp(cell == null ? 0 : cell.getTimestamp());

columns.add(columnData);

columnData = new HbaseColumnData();

columnData.setKey(rowData.getKey());

columnData.setFamilyName("main");

columnData.setQualifier("birthday");

cell = rs.getColumnLatestCell(columnData.getFamilyName().getBytes(), columnData.getQualifier().getBytes());

columnData.setValue(getString(cell == null ? null : cell.getValue()));

columnData.setTimestamp(cell == null ? 0 : cell.getTimestamp());

columns.add(columnData);

columnData = new HbaseColumnData();

columnData.setKey(rowData.getKey());

columnData.setFamilyName("other");

columnData.setQualifier("mobile");

cell = rs.getColumnLatestCell(columnData.getFamilyName().getBytes(), columnData.getQualifier().getBytes());

columnData.setValue(getString(cell == null ? null : cell.getValue()));

columnData.setTimestamp(cell == null ? 0 : cell.getTimestamp());

columns.add(columnData);

columnData = new HbaseColumnData();

columnData.setKey(rowData.getKey());

columnData.setFamilyName("other");

columnData.setQualifier("email");

cell = rs.getColumnLatestCell(columnData.getFamilyName().getBytes(), columnData.getQualifier().getBytes());

columnData.setValue(getString(cell == null ? null : cell.getValue()));

columnData.setTimestamp(cell == null ? 0 : cell.getTimestamp());

columns.add(columnData);

rowData.setColumns(columns);

list.add(rowData);

System.out.println(rowData.toString());

/*System.out.println("获得到rowkey:" + new String(rs.getRow()));

for (KeyValue keyValue : rs.raw()) {

System.out.println("列：" + new String(keyValue.getFamily()) + "====值:" + new String(keyValue.getValue()));

}*/

}

Date d2 = new Date();

System.out.println("查询消耗: "+((d2.getTime()-d1.getTime())*1.0/1000)+" s");

return list;

}

private String getString(byte[] bytes) {

if (bytes == null)

return null;

return new String(bytes);

}

public HbaseTemplate getHbaseTemplate() {

return hbaseTemplate;

}

public void setHbaseTemplate(HbaseTemplate hbaseTemplate) {

this.hbaseTemplate = hbaseTemplate;

}

测试代码:

package com.pandy.hadoop.hbase;

import org.springframework.beans.factory.BeanFactory;

import org.springframework.context.ApplicationContext;

import org.springframework.context.support.ClassPathXmlApplicationContext;

public class HiveTest {

public static void main(String[] args) {

ApplicationContext context = new ClassPathXmlApplicationContext(new String[]{"spring-hadoop.xml"});

BeanFactory factory = (BeanFactory) context;

System.out.println("===========================测试HiveService");

HiveService hiveService = (HiveService) factory.getBean("hiveService");

hiveService.deleteAllUser();

System.out.println("===========================删除所有完成");

hiveService.getAllUser();

System.out.println("===========================查询完成");

hiveService.createUser(1,"pandy",1);

System.out.println("===========================增加完成");

hiveService.getAllUser();

System.out.println("===========================查询完成");

}

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package com.pandy.hadoop.hbase;

import com.pandy.hadoop.hbase.data.UserData;

import com.pandy.hadoop.hbase.data.UserMainData;

import com.pandy.hadoop.hbase.data.UserOtherData;

import com.pandy.hadoop.hbase.def.HbaseFamily;

import com.pandy.hadoop.hbase.def.HbaseTable;

import com.pandy.hadoop.hbase.domain.HbaseColumnData;

import com.pandy.hadoop.hbase.domain.HbaseRowData;

import edu.jiangxin.random.RandomChinese;

import edu.jiangxin.random.RandomDateTime;

import edu.jiangxin.random.RandomEmail;

import edu.jiangxin.random.RandomPhoneNum;

import org.apache.hadoop.hbase.filter.*;

import org.springframework.beans.factory.BeanFactory;

import org.springframework.context.ApplicationContext;

import org.springframework.context.support.ClassPathXmlApplicationContext;

import java.text.SimpleDateFormat;

import java.util.List;

public class HbaseTest {

/**

* 如何设计key, 才是hbase最重要的东西

* @param flagNum

* @return

private static String generateKey(UserData user, int flagNum) {

//String key = String.format("%20s", name)+"-"

//System.out.println(user.toString());

String key = user.getMain().getName() + "-" +

user.getMain().getTitle() + "-"

+ String.format("%010d", flagNum);

return key;

}

public static void main(String[] args) throws Exception {

ApplicationContext context = new ClassPathXmlApplicationContext(new String[]{"spring-hadoop-local.xml"});

BeanFactory factory = (BeanFactory) context;

HbaseService hbaseService = (HbaseService) factory.getBean("hbaseService");

//RandomStringUtils.randomAlphanumeric(10),

HbaseTable table = new HbaseTable();

table.setTableName("user");

HbaseFamily family = new HbaseFamily();

//主要信息

family.setFamilyName("main");

table.addFamily(family);

family = new HbaseFamily();

//其他信息

family.setFamilyName("other");

table.addFamily(family);

hbaseService.createTable(table);

int startIdx = 0;

int pad = 5000;

System.out.println("===========================扫描整个表");

List<HbaseRowData> list = hbaseService.scan("user");

if (list != null) {

for (HbaseRowData r : list) {

System.out.println(r.toString());

}

startIdx = list.size();

}

System.out.println("===========================插入数据");

SimpleDateFormat format = new SimpleDateFormat("yyyy-MM-dd");

for (int i = startIdx; i <= (startIdx + pad); i++) {

UserData user = new UserData();

UserMainData main = new UserMainData();

main.setName(RandomChinese.nextString(3));

main.setTitle(RandomChinese.nextString(5));

main.setBirthday(RandomDateTime.nextDate("1980-01-01", "2016-12-31"));

user.setMain(main);

UserOtherData other = new UserOtherData();

other.setEmail(RandomEmail.nextEmail());

other.setMobile(RandomPhoneNum.nextPhoneNum());

user.setOther(other);

String key = generateKey(user, i);

HbaseColumnData columnData = new HbaseColumnData();

columnData.setKey(key);

columnData.setFamilyName("main");

columnData.setQualifier("name");

columnData.setValue(main.getName());

hbaseService.put("user", columnData, null);

columnData = new HbaseColumnData();

columnData.setKey(key);

columnData.setFamilyName("main");

columnData.setQualifier("title");

columnData.setValue(main.getTitle());

hbaseService.put("user", columnData, null);

columnData = new HbaseColumnData();

columnData.setKey(key);

columnData.setFamilyName("main");

columnData.setQualifier("birthday");

columnData.setValue(format.format(main.getBirthday()));

hbaseService.put("user", columnData, null);

columnData = new HbaseColumnData();

columnData.setKey(key);

columnData.setFamilyName("other");

columnData.setQualifier("mobile");

columnData.setValue(other.getMobile());

hbaseService.put("user", columnData, null);

columnData = new HbaseColumnData();

columnData.setKey(key);

columnData.setFamilyName("other");

columnData.setQualifier("email");

columnData.setValue(other.getEmail());

hbaseService.put("user", columnData, null);

System.out.println("KET= " + key);

if (false && i > startIdx && i % 500 == 0) {

try {

System.out.println("===============>暂停休息一会");

Thread.sleep(10000);

} catch (Exception e) {

e.printStackTrace();

}

System.out.println("===========================获得一条记录的一个列");

HbaseColumnData column = hbaseService.get("user", "愉俘埠-俱伙隘氢空-0000004018", "main", "title");

System.out.println(column.toString());

System.out.println("===========================获得一条记录");

HbaseRowData row = hbaseService.get("user", "拭邮甸-澎张吐轨蚂-0000004004");

System.out.println(row.toString());

System.out.println("===========================删除列信息");

hbaseService.delete("user", "堪伍遇-驯庚当革朵-0000004013", "main", "title");

System.out.println("===========================删除行信息");

hbaseService.delete("user", "裙毁津-璃闲戳并年-0000004006");

System.out.println("===========================使用过滤器扫描表");

hbaseService.scanValueByFilter("user", new PrefixFilter("夯".getBytes()));

System.out.println("1===========================RegexStringComparator --> SingleColumnValueFilter");

hbaseService.scanValueByFilter("user", new SingleColumnValueFilter(

"main".getBytes(),

"name".getBytes(),

CompareFilter.CompareOp.EQUAL,

new RegexStringComparator("^吏")));

System.out.println("2===========================SubstringComparator --> SingleColumnValueFilter");

hbaseService.scanValueByFilter("user", new SingleColumnValueFilter(

"main".getBytes(),

"name".getBytes(),

CompareFilter.CompareOp.EQUAL,

new SubstringComparator("慈")));

System.out.println("3===========================BinaryComparator --> SingleColumnValueFilter");

hbaseService.scanValueByFilter("user", new SingleColumnValueFilter(

"main".getBytes(),

"name".getBytes(),

CompareFilter.CompareOp.EQUAL,

new BinaryComparator("藉咖串".getBytes())));

System.out.println("4===========================RegexStringComparator --> RowFilter");

hbaseService.scanValueByFilter("user", new RowFilter(

CompareFilter.CompareOp.EQUAL,

new RegexStringComparator("柱$")));

System.out.println("5===========================多个Filter");

hbaseService.scanValueByMultipleFilter("user",

new RowFilter(

CompareFilter.CompareOp.EQUAL,

new RegexStringComparator("9"))

new SingleColumnValueFilter(

"main".getBytes(),

"name".getBytes(),

CompareFilter.CompareOp.EQUAL,

new RegexStringComparator("^谷")));

}

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Spring操作hive和hbase

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Spring操作hive和hbase

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