DataToolsServiceImpl.java
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package com.bsth.service.schedule.utils;
import com.bsth.service.schedule.exception.ScheduleException;
import com.google.common.io.Files;
import org.joda.time.DateTime;
import org.pentaho.di.core.KettleEnvironment;
import org.pentaho.di.core.logging.KettleLogStore;
import org.pentaho.di.core.logging.LoggingBuffer;
import org.pentaho.di.core.logging.LoggingRegistry;
import org.pentaho.di.core.util.EnvUtil;
import org.pentaho.di.trans.Trans;
import org.pentaho.di.trans.TransMeta;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Component;
import java.io.File;
import java.io.PrintWriter;
import java.io.StringWriter;
import java.util.HashMap;
import java.util.Map;
import java.util.Properties;
import java.util.concurrent.atomic.AtomicBoolean;
/**
* Created by xu on 17/1/3.
*/
@Component
public class DataToolsServiceImpl implements DataToolsService {
/** 日志记录器 */
private static final Logger LOGGER = LoggerFactory.getLogger(DataToolsServiceImpl.class);
@Autowired
private DataToolsProperties dataToolsProperties;
/** 原子操作类 */
private AtomicBoolean flag = new AtomicBoolean(false);
public void initKettle() throws Exception {
if (flag.compareAndSet(false, true)) {
LOGGER.info("kettle初始化......");
// 初始化kettle环境（自定义）
ktrEnvironmentInit();
// 添加全局ktr变量，并覆盖原来的设置
Map<String, String> kvars = new HashMap<>();
kvars.put("v_db_ip", dataToolsProperties.getKvarsDbip());
kvars.put("v_db_uname", dataToolsProperties.getKvarsDbuname());
kvars.put("v_db_pwd", dataToolsProperties.getKvarsDbpwd());
kvars.put("v_db_dname", dataToolsProperties.getKvarsDbdname());
EnvUtil.applyKettleProperties(kvars, true);
KettleEnvironment.init(); // 默认使用jndi数据源
// 使用自定义的jndi上下文工厂
System.setProperty("java.naming.factory.initial", "com.bsth.service.schedule.utils.jndi.MySimpleJndiContextFactory");
}
}
/**
* 自定义kettle环境初始化定义。
*/
private void ktrEnvironmentInit() throws Exception {
// 由于kettle.properties可能没有（没有安装过kettle），
// 导致 EnvUtil.environmentInit() 报找不到kettle.properties文件
// 所以这里重写 EnvUtil.environmentInit() 方法
if (Thread.currentThread().getContextClassLoader() == null) {
Thread.currentThread().setContextClassLoader(ClassLoader.getSystemClassLoader());
}
// 获取配置文件
File file = new File(getClass().getResource(dataToolsProperties.getKettleProperties()).toURI());
Properties kettleProperties = EnvUtil.readProperties(file.getAbsolutePath());
EnvUtil.applyKettleProperties(kettleProperties);
// System.getProperties().put("file.encoding", "Cp1252");
System.getProperties().put("Internal.Cluster.Size", "1");
System.getProperties().put("Internal.Slave.Transformation.Number", "0");
System.getProperties().put("Internal.Slave.Server.Name", "slave-trans-name");
System.getProperties().put("Internal.Step.CopyNr", "0");
System.getProperties().put("Internal.Step.Name", "step-name");
System.getProperties().put("Internal.Step.Partition.ID", "partition-id");
System.getProperties().put("Internal.Step.Partition.Number", "0");
System.getProperties().put("Internal.Step.Unique.Count", "1");
System.getProperties().put("Internal.Step.Unique.Number", "0");
if (!kettleProperties.containsKey("vfs.sftp.org.apache.commons.vfs2.provider.sftp.SftpFileSystemConfigBuilder.USER_DIR_IS_ROOT")) {
System.getProperties().put("vfs.sftp.org.apache.commons.vfs2.provider.sftp.SftpFileSystemConfigBuilder.USER_DIR_IS_ROOT", "false");
}
}
@Override
public DataToolsFile uploadFile(String filename, byte[] filedata) throws ScheduleException {
// 上传文件
try {
initKettle();
LOGGER.info("start uploadFile...originalFilename={}", filename);
DataToolsFile dataToolsFile = new DataToolsFile();
// 判定文件类型（目前只支持xls，xlsx文件）
if (DataToolsFileType.XLS.isThisType(filedata)) {
// xls文件
dataToolsFile.setFileType(DataToolsFileType.XLS);
dataToolsFile.setFile(new File(DataToolsFileType.XLS.getNewFileName(
dataToolsProperties.getFileuploadDir(),
File.separator,
filename,
"-upload-",
new DateTime().toString("yyyyMMddHHmmss")
)));
Files.write(filedata, dataToolsFile.getFile());
} else if (DataToolsFileType.XLSX.isThisType(filedata)) {
// xlsx文件
dataToolsFile.setFileType(DataToolsFileType.XLSX);
dataToolsFile.setFile(new File(DataToolsFileType.XLSX.getNewFileName(
dataToolsProperties.getFileuploadDir(),
File.separator,
filename,
"-upload-",
new DateTime().toString("yyyyMMddHHmmss")
)));
Files.write(filedata, dataToolsFile.getFile());
} else {
// 非excel文件
throw new Exception("非.xls .xlsx 格式文件！");
}
LOGGER.info("uploadFile success...newFilename={}", dataToolsFile.getFile().getAbsolutePath());
return dataToolsFile;
} catch (Exception exp) {
LOGGER.info("uploadFile failed...stackTrace...");
StringWriter sw = new StringWriter();
exp.printStackTrace(new PrintWriter(sw));
LOGGER.info(sw.toString());
throw new ScheduleException(exp);
}
}
@Override
public void importData(File file, Map<String, Object> params) throws ScheduleException {
// 导入数据
String transLogId = "";
String transMetaLogId = "";
try {
initKettle();
LOGGER.info("start importData...originalFilename={}", file.getAbsolutePath());
// 检查参数
String transpath = String.valueOf(params.get("transpath"));
if ("null".equals(transpath)) {
throw new Exception(
"没有指定transpath参数值，无法确定ktr转换文件！");
}
File ktrFile = new File(transpath);
// 设置文件路径，错误输出文件路径参数
params.put("filepath", file.getAbsolutePath());
params.put("erroroutputdir", dataToolsProperties.getTransErrordir());
// 2、使用kettle运行封装数据导入逻辑的ktr转换文件
// 2.1、初始化kettle（组件初始化已经做了）
// 2.2、创建转换元数据，转换
TransMeta transMeta = new TransMeta(ktrFile.getAbsolutePath());
Trans trans = new Trans(transMeta);
// 2.3、设定命名参数，用于指定数据文件，注意每个ktr必须都有以下指定的命名参数
for (String key : params.keySet()) {
trans.setParameterValue(key, String.valueOf(params.get(key)));
}
// 2.4、执行转换
trans.execute(null);
// 2.5、等待转换结束
trans.waitUntilFinished();
// 获取日志
transLogId = trans.getLogChannelId();
transMetaLogId = transMeta.getLogChannelId();
LoggingBuffer loggingBuffer = KettleLogStore.getAppender();
StringBuffer stringBuffer = loggingBuffer.getBuffer(
trans.getLogChannelId(), false
);
if (trans.getErrors() > 0) {
throw new Exception(stringBuffer.toString());
}
LOGGER.info(stringBuffer.toString());
LOGGER.info("importData success...");
} catch (Exception exp) {
LOGGER.info("importData failed...statckTrace...");
StringWriter sw = new StringWriter();
exp.printStackTrace(new PrintWriter(sw));
LOGGER.info(sw.toString());
throw new ScheduleException(exp);
} finally {
// 清除日志操作
KettleLogStore.discardLines(transLogId, true);
KettleLogStore.discardLines(transMetaLogId, true);
LoggingRegistry.getInstance().removeIncludingChildren(transLogId);
}
}
@Override
public DataToolsFile exportData(Map<String, Object> params) throws ScheduleException {
// 导出数据
String transLogId = "";
String transMetaLogId = "";
try {
initKettle();
LOGGER.info("start exportData...");
// 检查参数
String filename = String.valueOf(params.get("filename"));
if ("null".equals(filename)) {
filename = "temp";
}
String transpath = String.valueOf(params.get("transpath"));
if ("null".equals(transpath)) {
throw new Exception(
"没有指定transpath参数值，无法确定ktr转换文件！");
}
File ktrFile = new File(transpath);
// 设置文件路径参数
String filepath = dataToolsProperties.getFileoutputDir() +
File.separator +
filename +
new DateTime().toString("yyyyMMddHHmmss");
params.put("filepath", filepath);
// ktr输出模版目录（可选）
params.put("templatepath", dataToolsProperties.getTransTemplatedir());
// 2、使用kettle运行封装数据导入逻辑的ktr转换文件
// 2.1、初始化kettle（组件初始化已经做了）
// 2.2、创建转换元数据，转换
TransMeta transMeta = new TransMeta(ktrFile.getAbsolutePath());
Trans trans = new Trans(transMeta);
// 2.3、设定命名参数，用于指定数据文件，注意每个ktr必须都有以下指定的命名参数
for (String key : params.keySet()) {
trans.setParameterValue(key, String.valueOf(params.get(key)));
}
// 2.4、执行转换
trans.execute(null);
// 2.5、等待转换结束
trans.waitUntilFinished();
// 获取日志
transLogId = trans.getLogChannelId();
transMetaLogId = transMeta.getLogChannelId();
LoggingBuffer loggingBuffer = KettleLogStore.getAppender();
StringBuffer stringBuffer = loggingBuffer.getBuffer(
trans.getLogChannelId(), false
);
if (trans.getErrors() > 0) {
throw new Exception(stringBuffer.toString());
}
LOGGER.info(stringBuffer.toString());
LOGGER.info("exportData success...");
// 导出目前是xls格式
DataToolsFile dataToolsFile = new DataToolsFile();
dataToolsFile.setFileType(DataToolsFileType.XLS);
dataToolsFile.setFile(new File(filepath + ".xls"));
return dataToolsFile;
} catch (Exception exp) {
LOGGER.info("exportData failed...statckTrace...");
StringWriter sw = new StringWriter();
exp.printStackTrace(new PrintWriter(sw));
LOGGER.info(sw.toString());
throw new ScheduleException(exp);
} finally {
// 清除日志操作
KettleLogStore.discardLines(transLogId, true);
KettleLogStore.discardLines(transMetaLogId, true);
LoggingRegistry.getInstance().removeIncludingChildren(transLogId);
}
}
}