初版storm项目全流程自动化测试代码实现
由于项目需要，写了版针对业务的自动化测试代码，主要应用场景在于由于业务日趋复杂，一些公共代码的改动，担心会影响已有业务。还没进行重写，但知识点还是不少的与大家分享实践下。首先，介绍下整个流处理的业务流程。首先 从网管实时接入数据到kafka，然后消息接入 进行预处理（这个过程是通过jetty框架，直接用servlet启动的项目，因为考虑到tomcat的并发不够，所以这样用。）随后预处理完 传入kafka,然后storm的不同的topo根据不同的传入类型，进行接入消息的规则匹配，规则是存在于前台的项目中，定时刷入redis(1分钟1刷） 随后加载用户卡数据、用户信息等（这些数据是每晚通过跑mapreduce任务生成的大宽表，直接导入redis）,通过redis加载效率非常高，满足实时性（如果redis中不存在数据的情况下，会连接hbase，再进行查询） 随后进行业务处理（有时有些会调各个网管的接口，获取相应业务数据），随后将封装好的数据发总致下游通知拓扑，通知拓扑通过webservice或者restTemple发送值各个其他平台，比如微信，支付宝，短信等，最终将整个运行日志写入hbase。
首先准备下一些需要的公共类,kafkaclient:
private Properties properties;
private String defaultTopic;
private KafkaProducer<K, V> producer;
public void setProperties(Properties properties) {
this.properties = properties;
}
public void setDefaultTopic(String defaultTopic) {
this.defaultTopic = defaultTopic;
}
public void setProducer(KafkaProducer<K, V> producer) {
this.producer = producer;
}
public void init() {
if (properties == null) {
throw new NullPointerException("kafka properties is null.");
}
this.producer = new KafkaProducer<K, V>(properties);
}
public void syncSend(V value) {
ProducerRecord<K, V> producerRecord = new ProducerRecord<K, V>(defaultTopic, value);
try {
producer.send(producerRecord).get();
} catch (Exception e) {
throw new RuntimeException(e);
}
}
public void asyncSend(V value) {
ProducerRecord<K, V> producerRecord = new ProducerRecord<K, V>(defaultTopic, value);
producer.send(producerRecord);
}
HbaseUtil:
private static final Logger logger = LoggerFactory.getLogger(HbaseResult.class);
private Gson gson = new Gson();
private HConnection connection = null;
private Configuration conf = null;
private String logFile = "D:/error.txt";
public void init() throws IOException {
logger.info("start init HBasehelper...");
conf = HBaseConfiguration.create();
connection = HConnectionManager.createConnection(conf);
logger.info("init HBasehelper successed!");
}
public synchronized HConnection getConnection() throws IOException {
if (connection == null) {
connection = HConnectionManager.createConnection(conf);
}
return connection;
}
private synchronized void closeConnection() {
if (connection != null) {
try {
connection.close();
} catch (IOException e) {
}
}
connection = null;
}
kafkaClient主要负责将读取报文的信息发送至kafka,随之又topo自行运算，最终使用通过调用hbaseUtil，对相应字段的比对查询。
那么下面对整个自动化测试的流程进行说明：
一、导入前台活动由于是自动化测试，我们不可能每次都手工上下线，或在页面配置启用某个活动，所以通过直接调用前台系统 导入功能 的方法，将活动配置写入mysql数据库,并进行状态的切换。s
List<String> codeList = new ArrayList<String>();
List<String> activityIdList = new ArrayList<String>();
try {
FileBody bin = new FileBody(new File("D:/activityTest/activity.ac"));
InputStream in = bin.getInputStream();
BufferedReader br = new BufferedReader(new InputStreamReader(in));
String tr = null;
while((tr = br.readLine())!=null){
HttpPost httppost = new HttpPost("http://*********:8088/***/***/***/import");
CloseableHttpClient httpclient = HttpClients.createDefault();
ObjectMapper mapper = new ObjectMapper();
ActivityConfig cloneActivity = null;
cloneActivity = mapper.readValue(tr.toString(),ActivityConfig.class);
List<ActivityConfig> cloneActivitys = new ArrayList<ActivityConfig>();//存放所有的活动
cloneActivitys.add(cloneActivity);
for (ActivityConfig cloneActivity1 : cloneActivitys) {
String code = cloneActivity1.getCode();
codeList.add(code);
}
HttpEntity reqEntity = MultipartEntityBuilder.create()
.addPart("file", bin)
.build();
httppost.setEntity(reqEntity);
System.out.println("executing request " + httppost.getRequestLine());
CloseableHttpResponse response = httpclient.execute(httppost);
System.out.println(response.getStatusLine());
HttpEntity resEntity = response.getEntity();
if (resEntity != null) {
System.out.println("Response content length: " + resEntity.getContentLength());
}
EntityUtils.consume(resEntity);
response.close();
httpclient.close();
}
for(String code : codeList){
String code1 = "'" + code + "'";
if(StringUtils.isNotEmpty(activityCode)){
activityCode.append(",");
}
activityCode.append(code1);
}
}
return activityIdList;
]
二、读取准备好的报文数据（xml形式需通过解析，数据分隔符格式读取后直接发送至kafka）
public String readTxt() throws IOException{
StringBuffer sendMessage = new StringBuffer();
BufferedReader br = null;
try {
br = new BufferedReader(
new InputStreamReader(new FileInputStream(MessageText), "UTF-8"));
String line = "";
while((line = br.readLine()) != null){
if (line.contains("<?xml")) {
int beginIndex = line.indexOf("<?xml");
line = line.substring(beginIndex);
}
sendMessage.append(line);
}
} catch (UnsupportedEncodingException e) {
e.printStackTrace();
} catch (FileNotFoundException e) {
e.printStackTrace();
}finally{
br.close();
}
return sendMessage.toString();
}
三、下来，我们需要将解析后的报文数据写入hbase的相应用户宽表、卡宽表中，以便storm拓扑中进行用户数据的加载，这里的rowkey为预分区过的。
HbaseResult baseHelper = new HbaseResult();
baseHelper.init();
tableName = "CARD****";
rowkey = HTableManager.generatRowkey(cardNo);
data.put("*****", "10019");
data.put("*****", cardNo);
data.put("*****", certNo);
data.put("*****", "A");
data.put("*****", "1019");
data.put("*****", supplementCardNo);
data.put("*****", "10020");
data.put("*****", certNo);
data.put("*****", cardType);
data.put("*****", cardType);
data.put("*****", cardNo.substring(12,16));
data.put("*****", "F");
data.put("*****", "ysy");
Put put = new Put(Bytes.toBytes(rowkey));
for (Entry<String, String> rs : data.entrySet()) {
put.add(HTableManager.DEFAULT_FAMILY_NAME, Bytes.toBytes(rs.getKey()), Bytes.toBytes(rs.getValue()));
}
baseHelper.put(tableName, put);
System.out.println("rowkey:"+rowkey);
data.clear();
四、随后就可进行消息的发送（发送至集群的kafka）
KafkaInit();
FSTConfiguration fstConf = FSTConfiguration.getDefaultConfiguration();
kafkaClient.syncSend(fstConf.asByteArray(kafkaData));
五、最终进行发送数据的字段对比（通过报文中的，预设的数据字段 与 最终输出的字段或结果进行对比，随后追加写入输出文件）
Result result = baseHelper.getResult("EVENT_LOG_DH", messageKey);
//对比字段
baseHelper.compareData(dataMap, result,activityCode);
public Result getResult(String tableName, String rowKey) throws IOException {
Get get = new Get(Bytes.toBytes(rowKey));
Result result = null;
HTableInterface tableInterface = null;
try {
tableInterface = getConnection().getTable(tableName);
result = tableInterface.get(get);
return result;
} catch (Exception e) {
closeConnection();
logger.error("", e);
} finally {
if (tableInterface != null) {
tableInterface.close();
}
}
public void compareData(Map<String,Object> messageData, Result res,List<String> activityCode) throws IOException{
List<String> Messages = new ArrayList<String>();
for (Cell cell : res.rawCells()) {
String qualifier = Bytes.toString(CellUtil.cloneQualifier(cell));
if(Bytes.toString(CellUtil.cloneQualifier(cell)).equalsIgnoreCase("VARIABLESETS")){
System.out.println(qualifier + "[" + new Gson().fromJson(Bytes.toString(CellUtil.cloneValue(cell)), Map.class) + "]");
@SuppressWarnings("unchecked")
Map<String,Object> data = gson.fromJson(Bytes.toString(CellUtil.cloneValue(cell)), Map.class);
String message = "";
for(String datakey : data.keySet()){
if(messageData.containsKey(datakey)){
String dataValue = getString(data,datakey);
String messageValue = getString(messageData,datakey);
if(datakey.equals("dh22")){
dataValue = dataValue.substring(0,dataValue.indexOf("."));
messageValue = messageValue.substring(0,messageValue.indexOf("."));
}
if(dataValue.equals(messageValue)){
message = datakey + " = " + dataValue + " 与报文中的 " + dataValue + "对比相同";
Messages.add(message);
}else{
message = datakey + " = " + dataValue + " 与报文中的 " + dataValue + "不一致!!!";
Messages.add(message);
}
}
}
}
if(Bytes.toString(CellUtil.cloneQualifier(cell)).equalsIgnoreCase("NOTIFY__")){
}
}
if(Messages.size() > 0){
StringBuffer sb = new StringBuffer();
for(String error : Messages){
sb.append(error).append("\n");
}
FileWriter fw = new FileWriter(logFile,true);
fw.write("\n----------------------");
fw.write(sb.toString());
fw.flush();
fw.close();
}else{
String sb = "没有对不上的字段呀";
FileWriter fw = new FileWriter(logFile);
fw.write(sb);
fw.flush();
fw.close();
}
}
六、清除导入的数据等信息，整个流程结束~
public void delHbaseData(String cardNo,String certNo) throws IOException{
String rowkeyCard = HTableManager.generatRowkey(cardNo) ;
String rowKeyUse =HTableManager.generatRowkey(certNo) ;
Delete delData = null;
HTableInterface tableInterface = null;
String tableName = "";
try {
tableInterface = getConnection().getTable(tableName);
tableInterface.delete(delData);
}
return;
} catch (Exception e) {
closeConnection();
logger.error("", e);
} finally {
if (tableInterface != null) {
tableInterface.close();
}
}
}
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