目录
[第8章 数仓开发之DIM层](#第8章 数仓开发之DIM层)
第8章 数仓开发之DIM层
P024
java
package com.atguigu.edu.realtime.app.func;
import com.alibaba.druid.pool.DruidDataSource;
import com.alibaba.druid.pool.DruidPooledConnection;
import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.JSONObject;
import com.atguigu.edu.realtime.bean.DimTableProcess;
import com.atguigu.edu.realtime.common.EduConfig;
import com.atguigu.edu.realtime.util.DruidDSUtil;
import com.atguigu.edu.realtime.util.PhoenixUtil;
import org.apache.flink.api.common.state.BroadcastState;
import org.apache.flink.api.common.state.MapStateDescriptor;
import org.apache.flink.api.common.state.ReadOnlyBroadcastState;
import org.apache.flink.configuration.Configuration;
import org.apache.flink.streaming.api.functions.co.BroadcastProcessFunction;
import org.apache.flink.util.Collector;
import java.sql.*;
import java.util.*;
public class DimBroadcastProcessFunction extends BroadcastProcessFunction<JSONObject, String, JSONObject> {
private MapStateDescriptor<String, DimTableProcess> tableProcessState;
// 初始化配置表数据
private HashMap<String, DimTableProcess> configMap = new HashMap<>();
public DimBroadcastProcessFunction(MapStateDescriptor<String, DimTableProcess> tableProcessState) {
this.tableProcessState = tableProcessState;
}
@Override
public void open(Configuration parameters) throws Exception {
super.open(parameters);
Connection connection = DriverManager.getConnection("jdbc:mysql://node001:3306/edu_config?" +
"user=root&password=123456&useUnicode=true&" +
"characterEncoding=utf8&serverTimeZone=Asia/Shanghai&useSSL=false"
);
PreparedStatement preparedStatement = connection.prepareStatement("select * from edu_config.table_process");
ResultSet resultSet = preparedStatement.executeQuery();
ResultSetMetaData metaData = resultSet.getMetaData();
while (resultSet.next()) {
JSONObject jsonObject = new JSONObject();
for (int i = 1; i <= metaData.getColumnCount(); i++) {
String columnName = metaData.getColumnName(i);
String columnValue = resultSet.getString(i);
jsonObject.put(columnName, columnValue);
}
DimTableProcess dimTableProcess = jsonObject.toJavaObject(DimTableProcess.class);
configMap.put(dimTableProcess.getSourceTable(), dimTableProcess);
}
resultSet.close();
preparedStatement.close();
connection.close();
}
/**
* @param value flinkCDC直接输入的json
* @param ctx
* @param out
* @throws Exception
*/
@Override
public void processBroadcastElement(String value, Context ctx, Collector<JSONObject> out) throws Exception {
//TODO 1 获取配置表数据解析格式
JSONObject jsonObject = JSON.parseObject(value);
String type = jsonObject.getString("op");
BroadcastState<String, DimTableProcess> tableConfigState = ctx.getBroadcastState(tableProcessState);
if ("d".equals(type)) {
// 从状态中删除对应的表格
DimTableProcess before = jsonObject.getObject("before", DimTableProcess.class);
tableConfigState.remove(before.getSourceTable());
// 从configMap中删除对应的表格
configMap.remove(before.getSourceTable());
} else {
DimTableProcess after = jsonObject.getObject("after", DimTableProcess.class);
//TODO 3 将数据写入到状态 广播出去
tableConfigState.put(after.getSourceTable(), after);
//TODO 2 检查phoenix中是否存在表 不存在创建
String sinkTable = after.getSinkTable();
String sinkColumns = after.getSinkColumns();
String sinkPk = after.getSinkPk();
String sinkExtend = after.getSinkExtend();
checkTable(sinkTable, sinkColumns, sinkPk, sinkExtend);
}
}
/**
* @param value kafka中maxwell生成的json数据
* @param ctx
* @param out
* @throws Exception
*/
@Override
public void processElement(JSONObject value, ReadOnlyContext ctx, Collector<JSONObject> out) throws Exception {
//TODO 1 获取广播的配置数据
//TODO 2 过滤出需要的维度字段
//TODO 3 补充输出字段
}
}P025
++8.3.2 根据MySQL的配置表，动态进行分流++
6）创建连接池工具类
java
package com.atguigu.edu.realtime.app.func;
import com.alibaba.druid.pool.DruidDataSource;
import com.alibaba.druid.pool.DruidPooledConnection;
import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.JSONObject;
import com.atguigu.edu.realtime.bean.DimTableProcess;
import com.atguigu.edu.realtime.common.EduConfig;
import com.atguigu.edu.realtime.util.DruidDSUtil;
import com.atguigu.edu.realtime.util.PhoenixUtil;
import org.apache.flink.api.common.state.BroadcastState;
import org.apache.flink.api.common.state.MapStateDescriptor;
import org.apache.flink.api.common.state.ReadOnlyBroadcastState;
import org.apache.flink.configuration.Configuration;
import org.apache.flink.streaming.api.functions.co.BroadcastProcessFunction;
import org.apache.flink.util.Collector;
import java.sql.*;
import java.util.*;
public class DimBroadcastProcessFunction extends BroadcastProcessFunction<JSONObject, String, JSONObject> {
private MapStateDescriptor<String, DimTableProcess> tableProcessState;
// 初始化配置表数据
private HashMap<String, DimTableProcess> configMap = new HashMap<>();
public DimBroadcastProcessFunction(MapStateDescriptor<String, DimTableProcess> tableProcessState) {
this.tableProcessState = tableProcessState;
}
@Override
public void open(Configuration parameters) throws Exception {
super.open(parameters);
Connection connection = DriverManager.getConnection("jdbc:mysql://node001:3306/edu_config?" +
"user=root&password=123456&useUnicode=true&" +
"characterEncoding=utf8&serverTimeZone=Asia/Shanghai&useSSL=false"
);
PreparedStatement preparedStatement = connection.prepareStatement("select * from edu_config.table_process");
ResultSet resultSet = preparedStatement.executeQuery();
ResultSetMetaData metaData = resultSet.getMetaData();
while (resultSet.next()) {
JSONObject jsonObject = new JSONObject();
for (int i = 1; i <= metaData.getColumnCount(); i++) {
String columnName = metaData.getColumnName(i);
String columnValue = resultSet.getString(i);
jsonObject.put(columnName, columnValue);
}
DimTableProcess dimTableProcess = jsonObject.toJavaObject(DimTableProcess.class);
configMap.put(dimTableProcess.getSourceTable(), dimTableProcess);
}
resultSet.close();
preparedStatement.close();
connection.close();
}
/**
* @param value flinkCDC直接输入的json
* @param ctx
* @param out
* @throws Exception
*/
@Override
public void processBroadcastElement(String value, Context ctx, Collector<JSONObject> out) throws Exception {
//TODO 1 获取配置表数据解析格式
JSONObject jsonObject = JSON.parseObject(value);
String type = jsonObject.getString("op");
BroadcastState<String, DimTableProcess> tableConfigState = ctx.getBroadcastState(tableProcessState);
if ("d".equals(type)) {
// 从状态中删除对应的表格
DimTableProcess before = jsonObject.getObject("before", DimTableProcess.class);
tableConfigState.remove(before.getSourceTable());
// 从configMap中删除对应的表格
configMap.remove(before.getSourceTable());
} else {
DimTableProcess after = jsonObject.getObject("after", DimTableProcess.class);
//TODO 3 将数据写入到状态 广播出去
tableConfigState.put(after.getSourceTable(), after);
//TODO 2 检查phoenix中是否存在表 不存在创建
String sinkTable = after.getSinkTable();
String sinkColumns = after.getSinkColumns();
String sinkPk = after.getSinkPk();
String sinkExtend = after.getSinkExtend();
checkTable(sinkTable, sinkColumns, sinkPk, sinkExtend);
}
}
private void checkTable(String sinkTable, String sinkColumns, String sinkPk, String sinkExtend) {
// create table if not exists table (id string pk, name string...)
// 拼接建表语句的sql
StringBuilder sql = new StringBuilder();
sql.append("create table if not exists " + EduConfig.HBASE_SCHEMA + "." + sinkTable + "(\n");
// 判断主键
// 如果主键为空,默认使用id
if (sinkPk == null) {
sinkPk = "";
}
if (sinkExtend == null) {
sinkExtend = "";
}
// 遍历字段拼接建表语句
String[] split = sinkColumns.split(",");
for (int i = 0; i < split.length; i++) {
sql.append(split[i] + " varchar");
if (split[i].equals(sinkPk)) {
sql.append(" primary key");
}
if (i < split.length - 1) {
sql.append(",\n");
}
}
sql.append(") ");
sql.append(sinkExtend);
PhoenixUtil.executeDDL(sql.toString());
}
/**
* @param value kafka中maxwell生成的json数据
* @param ctx
* @param out
* @throws Exception
*/
@Override
public void processElement(JSONObject value, ReadOnlyContext ctx, Collector<JSONObject> out) throws Exception {
//TODO 1 获取广播的配置数据
//TODO 2 过滤出需要的维度字段
//TODO 3 补充输出字段
}
}P026
P027
启动hadoop、zookeeper、kafka、hbase。p41
bash
[atguigu@node001 ~]$ myhadoop.sh start
================ 启动 hadoop集群 ================
---------------- 启动 hdfs ----------------
Starting namenodes on [node001]
Starting datanodes
Starting secondary namenodes [node003]
--------------- 启动 yarn ---------------
Starting resourcemanager
Starting nodemanagers
--------------- 启动 historyserver ---------------
[atguigu@node001 ~]$ zookeeper.sh start
---------- zookeeper node001 启动 ----------
ZooKeeper JMX enabled by default
Using config: /opt/module/zookeeper/zookeeper-3.5.7/bin/../conf/zoo.cfg
Starting zookeeper ... STARTED
---------- zookeeper node002 启动 ----------
ZooKeeper JMX enabled by default
Using config: /opt/module/zookeeper/zookeeper-3.5.7/bin/../conf/zoo.cfg
Starting zookeeper ... STARTED
---------- zookeeper node003 启动 ----------
ZooKeeper JMX enabled by default
Using config: /opt/module/zookeeper/zookeeper-3.5.7/bin/../conf/zoo.cfg
Starting zookeeper ... STARTED
[atguigu@node001 ~]$
[atguigu@node001 ~]$
[atguigu@node001 ~]$ kafka.sh start
--------------- node001 Kafka 启动 ---------------
--------------- node002 Kafka 启动 ---------------
--------------- node003 Kafka 启动 ---------------
[atguigu@node001 ~]$
[atguigu@node001 ~]$
[atguigu@node001 ~]$ start-hbase.sh
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/opt/module/hbase/hbase-2.0.5/lib/slf4j-log4j12-1.7.25.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/opt/module/hadoop/hadoop-3.1.3/share/hadoop/common/lib/slf4j-log4j12-1.7.25.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]
running master, logging to /opt/module/hbase/hbase-2.0.5/logs/hbase-atguigu-master-node001.out
node002: running regionserver, logging to /opt/module/hbase/hbase-2.0.5/logs/hbase-atguigu-regionserver-node002.out
node003: running regionserver, logging to /opt/module/hbase/hbase-2.0.5/logs/hbase-atguigu-regionserver-node003.out
node001: running regionserver, logging to /opt/module/hbase/hbase-2.0.5/logs/hbase-atguigu-regionserver-node001.out
node002: running master, logging to /opt/module/hbase/hbase-2.0.5/logs/hbase-atguigu-master-node002.out
[atguigu@node001 ~]$ jpsall
================ node001 ================
4880 HMaster
4615 Kafka
4183 QuorumPeerMain
3017 DataNode
2858 NameNode
5083 HRegionServer
3676 JobHistoryServer
3454 NodeManager
5406 Jps
================ node002 ================
2080 ResourceManager
4050 Jps
3397 Kafka
3574 HRegionServer
2966 QuorumPeerMain
3719 HMaster
1833 DataNode
2233 NodeManager
================ node003 ================
3265 Kafka
2833 QuorumPeerMain
3634 Jps
2067 SecondaryNameNode
2245 NodeManager
1941 DataNode
3430 HRegionServer
[atguigu@node001 ~]$ cd /opt/module/hbase/apache-phoenix-5.0.0-HBase-2.0-bin/
[atguigu@node001 apache-phoenix-5.0.0-HBase-2.0-bin]$ cd bin
[atguigu@node001 bin]$ pwd
/opt/module/hbase/apache-phoenix-5.0.0-HBase-2.0-bin/bin
[atguigu@node001 bin]$ ./sqlline.py node001:2181
Setting property: [incremental, false]
Setting property: [isolation, TRANSACTION_READ_COMMITTED]
issuing: !connect jdbc:phoenix:node001:2181 none none org.apache.phoenix.jdbc.PhoenixDriver
Connecting to jdbc:phoenix:node001:2181
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/opt/module/hbase/apache-phoenix-5.0.0-HBase-2.0-bin/phoenix-5.0.0-HBase-2.0-client.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/opt/module/hadoop/hadoop-3.1.3/share/hadoop/common/lib/slf4j-log4j12-1.7.25.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
23/10/26 20:07:57 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Connected to: Phoenix (version 5.0)
Driver: PhoenixEmbeddedDriver (version 5.0)
Autocommit status: true
Transaction isolation: TRANSACTION_READ_COMMITTED
Building list of tables and columns for tab-completion (set fastconnect to true to skip)...
133/133 (100%) Done
Done
sqlline version 1.2.0
0: jdbc:phoenix:node001:2181> create schema EDU_REALTIME;
No rows affected (3.039 seconds)
0: jdbc:phoenix:node001:2181> !tables
+------------+--------------+-------------+---------------+----------+------------+----------------------------+-----------------+--------------+--------------+
| TABLE_CAT | TABLE_SCHEM | TABLE_NAME | TABLE_TYPE | REMARKS | TYPE_NAME | SELF_REFERENCING_COL_NAME | REF_GENERATION | INDEX_STATE | IMMUTABLE_RO |
+------------+--------------+-------------+---------------+----------+------------+----------------------------+-----------------+--------------+--------------+
| | SYSTEM | CATALOG | SYSTEM TABLE | | | | | | false |
| | SYSTEM | FUNCTION | SYSTEM TABLE | | | | | | false |
| | SYSTEM | LOG | SYSTEM TABLE | | | | | | true |
| | SYSTEM | SEQUENCE | SYSTEM TABLE | | | | | | false |
| | SYSTEM | STATS | SYSTEM TABLE | | | | | | false |
+------------+--------------+-------------+---------------+----------+------------+----------------------------+-----------------+--------------+--------------+
0: jdbc:phoenix:node001:2181> !tables
+------------+---------------+---------------------------+---------------+----------+------------+----------------------------+-----------------+--------------+
| TABLE_CAT | TABLE_SCHEM | TABLE_NAME | TABLE_TYPE | REMARKS | TYPE_NAME | SELF_REFERENCING_COL_NAME | REF_GENERATION | INDEX_STATE |
+------------+---------------+---------------------------+---------------+----------+------------+----------------------------+-----------------+--------------+
| | SYSTEM | CATALOG | SYSTEM TABLE | | | | | |
| | SYSTEM | FUNCTION | SYSTEM TABLE | | | | | |
| | SYSTEM | LOG | SYSTEM TABLE | | | | | |
| | SYSTEM | SEQUENCE | SYSTEM TABLE | | | | | |
| | SYSTEM | STATS | SYSTEM TABLE | | | | | |
| | EDU_REALTIME | DIM_BASE_CATEGORY_INFO | TABLE | | | | | |
| | EDU_REALTIME | DIM_BASE_PROVINCE | TABLE | | | | | |
| | EDU_REALTIME | DIM_BASE_SOURCE | TABLE | | | | | |
| | EDU_REALTIME | DIM_BASE_SUBJECT_INFO | TABLE | | | | | |
| | EDU_REALTIME | DIM_CHAPTER_INFO | TABLE | | | | | |
| | EDU_REALTIME | DIM_COURSE_INFO | TABLE | | | | | |
| | EDU_REALTIME | DIM_KNOWLEDGE_POINT | TABLE | | | | | |
| | EDU_REALTIME | DIM_TEST_PAPER | TABLE | | | | | |
| | EDU_REALTIME | DIM_TEST_PAPER_QUESTION | TABLE | | | | | |
| | EDU_REALTIME | DIM_TEST_POINT_QUESTION | TABLE | | | | | |
| | EDU_REALTIME | DIM_TEST_QUESTION_INFO | TABLE | | | | | |
| | EDU_REALTIME | DIM_TEST_QUESTION_OPTION | TABLE | | | | | |
| | EDU_REALTIME | DIM_USER_INFO | TABLE | | | | | |
| | EDU_REALTIME | DIM_VIDEO_INFO | TABLE | | | | | |
+------------+---------------+---------------------------+---------------+----------+------------+----------------------------+-----------------+--------------+
0: jdbc:phoenix:node001:2181> P028
java
package com.atguigu.edu.realtime.app.func;
import com.alibaba.druid.pool.DruidDataSource;
import com.alibaba.druid.pool.DruidPooledConnection;
import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.JSONObject;
import com.atguigu.edu.realtime.bean.DimTableProcess;
import com.atguigu.edu.realtime.common.EduConfig;
import com.atguigu.edu.realtime.util.DruidDSUtil;
import com.atguigu.edu.realtime.util.PhoenixUtil;
import org.apache.flink.api.common.state.BroadcastState;
import org.apache.flink.api.common.state.MapStateDescriptor;
import org.apache.flink.api.common.state.ReadOnlyBroadcastState;
import org.apache.flink.configuration.Configuration;
import org.apache.flink.streaming.api.functions.co.BroadcastProcessFunction;
import org.apache.flink.util.Collector;
import java.sql.*;
import java.util.*;
public class DimBroadcastProcessFunction extends BroadcastProcessFunction<JSONObject, String, JSONObject> {
private MapStateDescriptor<String, DimTableProcess> tableProcessState;
// 初始化配置表数据
private HashMap<String, DimTableProcess> configMap = new HashMap<>();
public DimBroadcastProcessFunction(MapStateDescriptor<String, DimTableProcess> tableProcessState) {
this.tableProcessState = tableProcessState;
}
@Override
public void open(Configuration parameters) throws Exception {
super.open(parameters);
Connection connection = DriverManager.getConnection("jdbc:mysql://node001:3306/edu_config?" +
"user=root&password=123456&useUnicode=true&" +
"characterEncoding=utf8&serverTimeZone=Asia/Shanghai&useSSL=false"
);
PreparedStatement preparedStatement = connection.prepareStatement("select * from edu_config.table_process");
ResultSet resultSet = preparedStatement.executeQuery();
ResultSetMetaData metaData = resultSet.getMetaData();
while (resultSet.next()) {
JSONObject jsonObject = new JSONObject();
for (int i = 1; i <= metaData.getColumnCount(); i++) {
String columnName = metaData.getColumnName(i);
String columnValue = resultSet.getString(i);
jsonObject.put(columnName, columnValue);
}
DimTableProcess dimTableProcess = jsonObject.toJavaObject(DimTableProcess.class);
configMap.put(dimTableProcess.getSourceTable(), dimTableProcess);
}
resultSet.close();
preparedStatement.close();
connection.close();
}
/**
* @param value flinkCDC直接输入的json
* @param ctx
* @param out
* @throws Exception
*/
@Override
public void processBroadcastElement(String value, Context ctx, Collector<JSONObject> out) throws Exception {
//TODO 1 获取配置表数据解析格式
JSONObject jsonObject = JSON.parseObject(value);
String type = jsonObject.getString("op");
BroadcastState<String, DimTableProcess> tableConfigState = ctx.getBroadcastState(tableProcessState);
if ("d".equals(type)) {
// 从状态中删除对应的表格
DimTableProcess before = jsonObject.getObject("before", DimTableProcess.class);
tableConfigState.remove(before.getSourceTable());
// 从configMap中删除对应的表格
configMap.remove(before.getSourceTable());
} else {
DimTableProcess after = jsonObject.getObject("after", DimTableProcess.class);
//TODO 3 将数据写入到状态 广播出去
tableConfigState.put(after.getSourceTable(), after);
//TODO 2 检查phoenix中是否存在表 不存在创建
String sinkTable = after.getSinkTable();
String sinkColumns = after.getSinkColumns();
String sinkPk = after.getSinkPk();
String sinkExtend = after.getSinkExtend();
checkTable(sinkTable, sinkColumns, sinkPk, sinkExtend);
}
}
private void checkTable(String sinkTable, String sinkColumns, String sinkPk, String sinkExtend) {
// create table if not exists table (id string pk, name string...)
// 拼接建表语句的sql
StringBuilder sql = new StringBuilder();
sql.append("create table if not exists " + EduConfig.HBASE_SCHEMA + "." + sinkTable + "(\n");
// 判断主键
// 如果主键为空,默认使用id
if (sinkPk == null) {
sinkPk = "";
}
if (sinkExtend == null) {
sinkExtend = "";
}
// 遍历字段拼接建表语句
String[] split = sinkColumns.split(",");
for (int i = 0; i < split.length; i++) {
sql.append(split[i] + " varchar");
if (split[i].equals(sinkPk)) {
sql.append(" primary key");
}
if (i < split.length - 1) {
sql.append(",\n");
}
}
sql.append(") ");
sql.append(sinkExtend);
PhoenixUtil.executeDDL(sql.toString());
}
/**
* @param value kafka中maxwell生成的json数据
* @param ctx
* @param out
* @throws Exception
*/
@Override
public void processElement(JSONObject value, ReadOnlyContext ctx, Collector<JSONObject> out) throws Exception {
//TODO 1 获取广播的配置数据
ReadOnlyBroadcastState<String, DimTableProcess> tableConfigState = ctx.getBroadcastState(tableProcessState);
DimTableProcess tableProcess = tableConfigState.get(value.getString("table"));
// 补充情况,防止kafka数据到的过快 造成数据丢失
if (tableProcess == null) {
tableProcess = configMap.get(value.getString("table"));
}
if (tableProcess != null) {
String type = value.getString("type");
if (type == null) {
System.out.println("maxwell采集的数据不完整...");
} else {
JSONObject data = value.getJSONObject("data");
//TODO 2 过滤出需要的维度字段
String sinkColumns = tableProcess.getSinkColumns();
filterColumns(data, sinkColumns);
//TODO 3 补充输出字段
data.put("sink_table", tableProcess.getSinkTable());
// 添加数据的类型
data.put("type", type);
out.collect(data);
}
}
}
private void filterColumns(JSONObject data, String sinkColumns) {
Set<Map.Entry<String, Object>> entries = data.entrySet();
List<String> stringList = Arrays.asList(sinkColumns.split(","));
entries.removeIf(entry -> !stringList.contains(entry.getKey()));
}
}P029
java
package com.atguigu.edu.realtime.util;
import com.alibaba.druid.pool.DruidDataSource;
import com.alibaba.druid.pool.DruidPooledConnection;
import com.alibaba.fastjson.JSONObject;
import com.atguigu.edu.realtime.common.EduConfig;
import org.apache.commons.beanutils.BeanUtils;
import org.apache.commons.lang3.StringUtils;
import java.lang.reflect.InvocationTargetException;
import java.sql.PreparedStatement;
import java.sql.ResultSet;
import java.sql.ResultSetMetaData;
import java.sql.SQLException;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;
import java.util.Set;
public class PhoenixUtil {
private static DruidDataSource druidDataSource = DruidDSUtil.getDruidDataSource();
public static void executeDDL(String sqlString) {
DruidPooledConnection connection = null;
PreparedStatement preparedStatement = null;
try {
connection = druidDataSource.getConnection();
} catch (SQLException throwables) {
throwables.printStackTrace();
System.out.println("连接池获取连接异常...");
}
try {
preparedStatement = connection.prepareStatement(sqlString);
} catch (SQLException throwables) {
throwables.printStackTrace();
System.out.println("编译sql异常...");
}
try {
preparedStatement.execute();
} catch (SQLException throwables) {
throwables.printStackTrace();
System.out.println("建表语句错误...");
}
// 关闭资源
try {
preparedStatement.close();
} catch (SQLException throwables) {
throwables.printStackTrace();
}
try {
connection.close();
} catch (SQLException throwables) {
throwables.printStackTrace();
}
}
public static void executeDML(String sinkTable, JSONObject jsonObject) {
// TODO 2 拼接sql语言
StringBuilder sql = new StringBuilder();
Set<Map.Entry<String, Object>> entries = jsonObject.entrySet();
ArrayList<String> columns = new ArrayList<>();
ArrayList<Object> values = new ArrayList<>();
StringBuilder symbols = new StringBuilder();
for (Map.Entry<String, Object> entry : entries) {
columns.add(entry.getKey());
values.add(entry.getValue());
symbols.append("?,");
}
sql.append("upsert into " + EduConfig.HBASE_SCHEMA + "." + sinkTable + "(");
// 拼接列名
String columnsStrings = StringUtils.join(columns, ",");
String symbolStr = symbols.substring(0, symbols.length() - 1).toString();
sql.append(columnsStrings)
.append(")values(")
.append(symbolStr)
.append(")");
DruidPooledConnection connection = null;
try {
connection = druidDataSource.getConnection();
} catch (SQLException throwables) {
throwables.printStackTrace();
System.out.println("连接池获取连接异常...");
}
PreparedStatement preparedStatement = null;
try {
preparedStatement = connection.prepareStatement(sql.toString());
// 传入参数
for (int i = 0; i < values.size(); i++) {
preparedStatement.setObject(i + 1, values.get(i) + "");
}
} catch (SQLException throwables) {
throwables.printStackTrace();
System.out.println("编译sql异常...");
}
try {
preparedStatement.executeUpdate();
} catch (SQLException throwables) {
throwables.printStackTrace();
System.out.println("写入phoenix错误...");
}
try {
preparedStatement.close();
} catch (SQLException throwables) {
throwables.printStackTrace();
}
try {
connection.close();
} catch (SQLException throwables) {
throwables.printStackTrace();
}
}
public static <T> List<T> queryList(String sql, Class<T> clazz) {
ArrayList<T> resultList = new ArrayList<>();
DruidPooledConnection connection = null;
PreparedStatement preparedStatement = null;
try {
connection = druidDataSource.getConnection();
preparedStatement = connection.prepareStatement(sql);
ResultSet resultSet = preparedStatement.executeQuery();
ResultSetMetaData metaData = resultSet.getMetaData();
while (resultSet.next()) {
T obj = clazz.newInstance();
for (int i = 1; i <= metaData.getColumnCount(); i++) {
String columnName = metaData.getColumnName(i);
Object columnValue = resultSet.getObject(i);
BeanUtils.setProperty(obj, columnName, columnValue);
}
resultList.add(obj);
}
} catch (Exception e) {
e.printStackTrace();
}
if (preparedStatement != null) {
try {
preparedStatement.close();
} catch (SQLException throwables) {
throwables.printStackTrace();
}
}
if (connection != null) {
try {
connection.close();
} catch (SQLException throwables) {
throwables.printStackTrace();
}
}
return resultList;
}
}
java
package com.atguigu.edu.realtime.app.func;
import com.alibaba.fastjson.JSONObject;
import com.atguigu.edu.realtime.util.DimUtil;
import com.atguigu.edu.realtime.util.PhoenixUtil;
import org.apache.flink.streaming.api.functions.sink.SinkFunction;
public class DimPhoenixSinkFunc implements SinkFunction<JSONObject> {
@Override
public void invoke(JSONObject jsonObject, Context context) throws Exception {
// TODO 1 获取输出的表名
String sinkTable = jsonObject.getString("sink_table");
// String type = jsonObject.getString("type");
// String id = jsonObject.getString("id");
jsonObject.remove("sink_table");
// jsonObject.remove("type");
// TODO 2 使用工具类写出数据
PhoenixUtil.executeDML(sinkTable, jsonObject);
// TODO 3 如果类型为update，删除redis对应缓存
// if ("update".equals(type)) {
// DimUtil.deleteCached(sinkTable, id);
// }
}
}P030
启动hadoop、zookeeper、kafka、hbase、maxwell。
java
org.apache.phoenix.schema.ColumnNotFoundException: ERROR 504 (42703): Undefined column. columnName=EDU_REALTIME.DIM_BASE_PROVINCE.TYPE
at org.apache.phoenix.schema.PTableImpl.getColumnForColumnName(PTableImpl.java:828)
at org.apache.phoenix.compile.FromCompiler$SingleTableColumnResolver.resolveColumn(FromCompiler.java:477)
at org.apache.phoenix.compile.UpsertCompiler.compile(UpsertCompiler.java:452)
at org.apache.phoenix.jdbc.PhoenixStatement$ExecutableUpsertStatement.compilePlan(PhoenixStatement.java:784)
at org.apache.phoenix.jdbc.PhoenixStatement$ExecutableUpsertStatement.compilePlan(PhoenixStatement.java:770)
at org.apache.phoenix.jdbc.PhoenixStatement$2.call(PhoenixStatement.java:401)
at org.apache.phoenix.jdbc.PhoenixStatement$2.call(PhoenixStatement.java:391)
at org.apache.phoenix.call.CallRunner.run(CallRunner.java:53)
at org.apache.phoenix.jdbc.PhoenixStatement.executeMutation(PhoenixStatement.java:390)
at org.apache.phoenix.jdbc.PhoenixStatement.executeMutation(PhoenixStatement.java:378)
at org.apache.phoenix.jdbc.PhoenixPreparedStatement.executeUpdate(PhoenixPreparedStatement.java:206)
at com.alibaba.druid.pool.DruidPooledPreparedStatement.executeUpdate(DruidPooledPreparedStatement.java:255)
at com.atguigu.edu.realtime.util.PhoenixUtil.executeDML(PhoenixUtil.java:105)
at com.atguigu.edu.realtime.app.func.DimPhoenixSinkFunc.invoke(DimPhoenixSinkFunc.java:19)
at com.atguigu.edu.realtime.app.func.DimPhoenixSinkFunc.invoke(DimPhoenixSinkFunc.java:7)
at org.apache.flink.streaming.api.operators.StreamSink.processElement(StreamSink.java:54)
at org.apache.flink.streaming.runtime.tasks.CopyingChainingOutput.pushToOperator(CopyingChainingOutput.java:82)
at org.apache.flink.streaming.runtime.tasks.CopyingChainingOutput.collect(CopyingChainingOutput.java:57)
at org.apache.flink.streaming.runtime.tasks.CopyingChainingOutput.collect(CopyingChainingOutput.java:29)
at org.apache.flink.streaming.api.operators.CountingOutput.collect(CountingOutput.java:56)
at org.apache.flink.streaming.api.operators.CountingOutput.collect(CountingOutput.java:29)
at org.apache.flink.streaming.api.operators.TimestampedCollector.collect(TimestampedCollector.java:51)
at com.atguigu.edu.realtime.app.func.DimBroadcastProcessFunction.processElement(DimBroadcastProcessFunction.java:148)
at com.atguigu.edu.realtime.app.func.DimBroadcastProcessFunction.processElement(DimBroadcastProcessFunction.java:21)
at org.apache.flink.streaming.api.operators.co.CoBroadcastWithNonKeyedOperator.processElement1(CoBroadcastWithNonKeyedOperator.java:110)
at org.apache.flink.streaming.runtime.io.StreamTwoInputProcessorFactory.processRecord1(StreamTwoInputProcessorFactory.java:217)
at org.apache.flink.streaming.runtime.io.StreamTwoInputProcessorFactory.lambda$create$0(StreamTwoInputProcessorFactory.java:183)
at org.apache.flink.streaming.runtime.io.StreamTwoInputProcessorFactory$StreamTaskNetworkOutput.emitRecord(StreamTwoInputProcessorFactory.java:266)
at org.apache.flink.streaming.runtime.io.AbstractStreamTaskNetworkInput.processElement(AbstractStreamTaskNetworkInput.java:134)
at org.apache.flink.streaming.runtime.io.AbstractStreamTaskNetworkInput.emitNext(AbstractStreamTaskNetworkInput.java:105)
at org.apache.flink.streaming.runtime.io.StreamOneInputProcessor.processInput(StreamOneInputProcessor.java:65)
at org.apache.flink.streaming.runtime.io.StreamMultipleInputProcessor.processInput(StreamMultipleInputProcessor.java:85)
at org.apache.flink.streaming.runtime.tasks.StreamTask.processInput(StreamTask.java:542)
at org.apache.flink.streaming.runtime.tasks.mailbox.MailboxProcessor.runMailboxLoop(MailboxProcessor.java:231)
at org.apache.flink.streaming.runtime.tasks.StreamTask.runMailboxLoop(StreamTask.java:831)
at org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:780)
at org.apache.flink.runtime.taskmanager.Task.runWithSystemExitMonitoring(Task.java:935)
at org.apache.flink.runtime.taskmanager.Task.restoreAndInvoke(Task.java:914)
at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:728)
at org.apache.flink.runtime.taskmanager.Task.run(Task.java:550)
at java.lang.Thread.run(Thread.java:748)
写入phoenix错误...😘👌💕