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嗨,我有一个包含多个开始标签的大 xml 文件,请帮我解析它并根据组显示它我的 xml 文件将是
如果对话 ID 不同,我希望将每个用户、内容和对话 ID 添加到单行文件中,然后添加到第二行
例如:输出文件应该是 1 converID 用户名对话 + 用户名对话 .... 2 anotherConvID userName 对话 + userName 对话 ....
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<!-- Data provided by Bloomberg LP. -->
<FileDump>
<Version>IBXML 1.3</Version>
<Conversation Perspective=" " RoomType="P">
<RoomID>PCHAT-0x3000001CA8361</RoomID>
<StartTime>03/31/2016 13:39:01</StartTime>
<StartTimeUTC>1459431541</StartTimeUTC>
<ParticipantEntered InteractionType="N" DeviceType="M">
<User>
<LoginName>SWONG00</LoginName>
<FirstName>STEPHEN</FirstName>
<LastName>WONG</LastName>
<UUID>4397109</UUID>
<FirmNumber>13133</FirmNumber>
<AccountNumber>231115</AccountNumber>
<CompanyName>DBS BANK LIMITED HON</CompanyName>
<EmailAddress>SWONG00@Bloomberg.net</EmailAddress>
<CorporateEmailAddress>STEPHENWONGWE@DBS.COM</CorporateEmailAddress>
</User>
<DateTime>03/31/2016 13:39:01</DateTime>
<DateTimeUTC>1459431541</DateTimeUTC>
<ConversationID>PCHAT-0x3000001CA8361</ConversationID>
</ParticipantEntered>
<ParticipantEntered InteractionType="N" DeviceType="M">
<User>
<LoginName>G_LO</LoginName>
<FirstName>GARY</FirstName>
<LastName>LO</LastName>
<UUID>7054548</UUID>
<FirmNumber>13133</FirmNumber>
<AccountNumber>91189</AccountNumber>
<CompanyName>DBS BANK (HONG KONG)</CompanyName>
<EmailAddress>G_LO@Bloomberg.net</EmailAddress>
<CorporateEmailAddress>garyloyc@dbs.com</CorporateEmailAddress>
</User>
<DateTime>03/31/2016 14:56:22</DateTime>
<DateTimeUTC>1459436182</DateTimeUTC>
<ConversationID>PCHAT-0x3000001CA8361</ConversationID>
</ParticipantEntered>
<ParticipantLeft InteractionType="N" DeviceType="M">
<User>
<LoginName>G_LO</LoginName>
<FirstName>GARY</FirstName>
<LastName>LO</LastName>
<UUID>7054548</UUID>
<FirmNumber>13133</FirmNumber>
<AccountNumber>91189</AccountNumber>
<CompanyName>DBS BANK (HONG KONG)</CompanyName>
<EmailAddress>G_LO@Bloomberg.net</EmailAddress>
<CorporateEmailAddress>garyloyc@dbs.com</CorporateEmailAddress>
</User>
<DateTime>03/31/2016 19:30:01</DateTime>
<DateTimeUTC>1459452601</DateTimeUTC>
<ConversationID>PCHAT-0x3000001CA8361</ConversationID>
</ParticipantLeft>
<ParticipantLeft InteractionType="N" DeviceType="M">
<User>
<LoginName>SWONG00</LoginName>
<FirstName>STEPHEN</FirstName>
<LastName>WONG</LastName>
<UUID>4397109</UUID>
<FirmNumber>13133</FirmNumber>
<AccountNumber>231115</AccountNumber>
<CompanyName>DBS BANK LIMITED HON</CompanyName>
<EmailAddress>SWONG00@Bloomberg.net</EmailAddress>
<CorporateEmailAddress>STEPHENWONGWE@DBS.COM</CorporateEmailAddress>
</User>
<DateTime>03/31/2016 19:33:56</DateTime>
<DateTimeUTC>1459452836</DateTimeUTC>
<ConversationID>PCHAT-0x3000001CA8361</ConversationID>
</ParticipantLeft>
<ParticipantEntered InteractionType="N" DeviceType="M">
<User>
<LoginName>SWONG00</LoginName>
<FirstName>STEPHEN</FirstName>
<LastName>WONG</LastName>
<UUID>4397109</UUID>
<FirmNumber>13133</FirmNumber>
<AccountNumber>231115</AccountNumber>
<CompanyName>DBS BANK LIMITED HON</CompanyName>
<EmailAddress>SWONG00@Bloomberg.net</EmailAddress>
<CorporateEmailAddress>STEPHENWONGWE@DBS.COM</CorporateEmailAddress>
</User>
<DateTime>03/31/2016 19:45:16</DateTime>
<DateTimeUTC>1459453516</DateTimeUTC>
<ConversationID>PCHAT-0x3000001CA8361</ConversationID>
</ParticipantEntered>
<ParticipantLeft InteractionType="N" DeviceType="M">
<User>
<LoginName>SWONG00</LoginName>
<FirstName>STEPHEN</FirstName>
<LastName>WONG</LastName>
<UUID>4397109</UUID>
<FirmNumber>13133</FirmNumber>
<AccountNumber>231115</AccountNumber>
<CompanyName>DBS BANK LIMITED HON</CompanyName>
<EmailAddress>SWONG00@Bloomberg.net</EmailAddress>
<CorporateEmailAddress>STEPHENWONGWE@DBS.COM</CorporateEmailAddress>
</User>
<DateTime>03/31/2016 23:08:09</DateTime>
<DateTimeUTC>1459465689</DateTimeUTC>
<ConversationID>PCHAT-0x3000001CA8361</ConversationID>
</ParticipantLeft>
<ParticipantEntered InteractionType="N" DeviceType="M">
<User>
<LoginName>G_LO</LoginName>
<FirstName>GARY</FirstName>
<LastName>LO</LastName>
<UUID>7054548</UUID>
<FirmNumber>13133</FirmNumber>
<AccountNumber>91189</AccountNumber>
<CompanyName>DBS BANK (HONG KONG)</CompanyName>
<EmailAddress>G_LO@Bloomberg.net</EmailAddress>
<CorporateEmailAddress>garyloyc@dbs.com</CorporateEmailAddress>
</User>
<DateTime>03/31/2016 23:14:23</DateTime>
<DateTimeUTC>1459466063</DateTimeUTC>
<ConversationID>PCHAT-0x3000001CA8361</ConversationID>
</ParticipantEntered>
<Message InteractionType="N">
<User>
<LoginName>G_LO</LoginName>
<FirstName>GARY</FirstName>
<LastName>LO</LastName>
<UUID>7054548</UUID>
<FirmNumber>13133</FirmNumber>
<AccountNumber>91189</AccountNumber>
<CompanyName>DBS BANK (HONG KONG)</CompanyName>
<EmailAddress>G_LO@Bloomberg.net</EmailAddress>
<CorporateEmailAddress>garyloyc@dbs.com</CorporateEmailAddress>
</User>
<DateTime>04/01/2016 00:10:57</DateTime>
<DateTimeUTC>1459469457</DateTimeUTC>
<Content>
abcdefgghhhhhh
</Content>
<ConversationID>PCHAT-0x3000001CA8361</ConversationID>
</Message>
<ParticipantEntered InteractionType="N" DeviceType="M">
<User>
<LoginName>WVU</LoginName>
<FirstName>WHEELOCK</FirstName>
<LastName>VU</LastName>
<UUID>8266852</UUID>
<FirmNumber>13133</FirmNumber>
<AccountNumber>91189</AccountNumber>
<CompanyName>DBS BANK (HONG KONG)</CompanyName>
<EmailAddress>WVU@Bloomberg.net</EmailAddress>
<CorporateEmailAddress>WHEELOCKVU@DBS.COM</CorporateEmailAddress>
</User>
<DateTime>04/01/2016 00:14:05</DateTime>
<DateTimeUTC>1459469645</DateTimeUTC>
<ConversationID>PCHAT-0x3000001CA8361</ConversationID>
</ParticipantEntered>
<ParticipantEntered InteractionType="N">
<User>
<LoginName>FCHAN95</LoginName>
<FirstName>FLORENCE</FirstName>
<LastName>CHAN</LastName>
<CompanyName>GOLDMAN SACHS (ASIA)</CompanyName>
<EmailAddress>FCHAN95@Bloomberg.net</EmailAddress>
<CorporateEmailAddress></CorporateEmailAddress>
</User>
<DateTime>04/01/2016 00:29:19</DateTime>
<DateTimeUTC>1459470559</DateTimeUTC>
<ConversationID>PCHAT-0x3000001CA8361</ConversationID>
</ParticipantEntered>
<Message InteractionType="N">
<User>
<LoginName>FCHAN95</LoginName>
<FirstName>FLORENCE</FirstName>
<LastName>CHAN</LastName>
<CompanyName>GOLDMAN SACHS (ASIA)</CompanyName>
<EmailAddress>FCHAN95@Bloomberg.net</EmailAddress>
<CorporateEmailAddress></CorporateEmailAddress>
</User>
<DateTime>04/01/2016 00:29:19</DateTime>
<DateTimeUTC>1459470559</DateTimeUTC>
<Content>
ajdakjgdljsgdsafhkafa
</Content>
<ConversationID>PCHAT-0x3000001CA8361</ConversationID>
</Message>
<Message InteractionType="N">
<User>
<LoginName>FCHAN95</LoginName>
<FirstName>FLORENCE</FirstName>
<LastName>CHAN</LastName>
<CompanyName>GOLDMAN SACHS (ASIA)</CompanyName>
<EmailAddress>FCHAN95@Bloomberg.net</EmailAddress>
<CorporateEmailAddress></CorporateEmailAddress>
</User>
<DateTime>04/01/2016 00:29:19</DateTime>
<DateTimeUTC>1459470559</DateTimeUTC>
<Content>
akjdgljsafdlshf;kdsjf
</Content>
<ConversationID>PCHAT-0x3000001CA8361</ConversationID>
</Message>
<Message InteractionType="N">
<User>
<LoginName>WVU</LoginName>
<FirstName>WHEELOCK</FirstName>
<LastName>VU</LastName>
<UUID>8266852</UUID>
<FirmNumber>13133</FirmNumber>
<AccountNumber>91189</AccountNumber>
<CompanyName>DBS BANK (HONG KONG)</CompanyName>
<EmailAddress>WVU@Bloomberg.net</EmailAddress>
<CorporateEmailAddress>WHEELOCKVU@DBS.COM</CorporateEmailAddress>
</User>
<DateTime>04/01/2016 00:39:32</DateTime>
<DateTimeUTC>1459471172</DateTimeUTC>
<Content>
sagdksajdlsahd
</Content>
<ConversationID>PCHAT-0x3000001CA8361</ConversationID>
</Message>
<ParticipantEntered InteractionType="N" DeviceType="M">
<User>
<LoginName>SWONG00</LoginName>
<FirstName>STEPHEN</FirstName>
<LastName>WONG</LastName>
<UUID>4397109</UUID>
<FirmNumber>13133</FirmNumber>
<AccountNumber>231115</AccountNumber>
<CompanyName>DBS BANK LIMITED HON</CompanyName>
<EmailAddress>SWONG00@Bloomberg.net</EmailAddress>
<CorporateEmailAddress>STEPHENWONGWE@DBS.COM</CorporateEmailAddress>
</User>
<DateTime>04/01/2016 01:01:27</DateTime>
<DateTimeUTC>1459472487</DateTimeUTC>
<ConversationID>PCHAT-0x3000001CA8361</ConversationID>
</ParticipantEntered>
<Message InteractionType="N">
<User>
<LoginName>SWONG00</LoginName>
<FirstName>STEPHEN</FirstName>
<LastName>WONG</LastName>
<UUID>4397109</UUID>
<FirmNumber>13133</FirmNumber>
<AccountNumber>231115</AccountNumber>
<CompanyName>DBS BANK LIMITED HON</CompanyName>
<EmailAddress>SWONG00@Bloomberg.net</EmailAddress>
<CorporateEmailAddress>STEPHENWONGWE@DBS.COM</CorporateEmailAddress>
</User>
<DateTime>04/01/2016 01:31:29</DateTime>
<DateTimeUTC>1459474289</DateTimeUTC>
<Content>
ajdslsahdsj;a
</Content>
<ConversationID>PCHAT-0x3000001CA8361</ConversationID>
</Message>
<Message InteractionType="N" DeviceType="M">
<User>
<LoginName>FCHAN95</LoginName>
<FirstName>FLORENCE</FirstName>
<LastName>CHAN</LastName>
<CompanyName>GOLDMAN SACHS (ASIA)</CompanyName>
<EmailAddress>FCHAN95@Bloomberg.net</EmailAddress>
<CorporateEmailAddress></CorporateEmailAddress>
</User>
<DateTime>04/01/2016 02:49:46</DateTime>
<DateTimeUTC>1459478986</DateTimeUTC>
<Content>
sagdkjsagdkjashdlasjd
</Content>
<ConversationID>PCHAT-0x3000001CA8361</ConversationID>
</Message>
<Message InteractionType="N" DeviceType="M">
<User>
<LoginName>FCHAN95</LoginName>
<FirstName>FLORENCE</FirstName>
<LastName>CHAN</LastName>
<CompanyName>GOLDMAN SACHS (ASIA)</CompanyName>
<EmailAddress>FCHAN95@Bloomberg.net</EmailAddress>
<CorporateEmailAddress></CorporateEmailAddress>
</User>
<DateTime>04/01/2016 02:49:46</DateTime>
<DateTimeUTC>1459478986</DateTimeUTC>
<Content>
jsdhkshdksjdlsjdlks
</Content>
<ConversationID>PCHAT-0x3000001CA8361</ConversationID>
</Message>
<Message InteractionType="N" DeviceType="M">
<User>
<LoginName>FCHAN95</LoginName>
<FirstName>FLORENCE</FirstName>
<LastName>CHAN</LastName>
<CompanyName>GOLDMAN SACHS (ASIA)</CompanyName>
<EmailAddress>FCHAN95@Bloomberg.net</EmailAddress>
<CorporateEmailAddress></CorporateEmailAddress>
</User>
<DateTime>04/01/2016 03:47:37</DateTime>
<DateTimeUTC>1459482457</DateTimeUTC>
<Content>
jshdkshdksjdlskld
</Content>
<ConversationID>PCHAT-0x3000001CA8361</ConversationID>
</Message>
<Message InteractionType="N" DeviceType="M">
<User>
<LoginName>FCHAN95</LoginName>
<FirstName>FLORENCE</FirstName>
<LastName>CHAN</LastName>
<CompanyName>GOLDMAN SACHS (ASIA)</CompanyName>
<EmailAddress>FCHAN95@Bloomberg.net</EmailAddress>
<CorporateEmailAddress></CorporateEmailAddress>
</User>
<DateTime>04/01/2016 03:47:37</DateTime>
<DateTimeUTC>1459482457</DateTimeUTC>
<Content>
aasasasasas
</Content>
<ConversationID>PCHAT-0x3000001CA8361</ConversationID>
</Message>
<EndTime>04/01/2016 03:47:37</EndTime>
<EndTimeUTC>1459482457</EndTimeUTC>
</Conversation>
</FileDump>
最佳答案
如果所有“Content”、“LoginName”和“ConversationID”节点中的文本都可以放入内存,那么解决方案可能类似于我在下面发布的解决方案(从 input.xml
读取,写入 output.txt
;另外,我假设您希望您的行编号为 1、2...,并且您希望使用“+”号将数据与问题中指定的不同消息分开)。
但是,如果该数据无法装入内存,那么您需要使用 StAX 将其以(ConversationID、LoginName、Content)格式提取到文件中,然后将其排序为 in external memory(在磁盘上或在多台机器),然后合并具有相同 ConversationID 的连续行。或者只是将初始 XML 分成几个,使用以下方法处理每个文件,然后您仍然需要合并结果文件,但这可能会更容易。
import java.io.FileInputStream;
import java.io.FileWriter;
import java.io.IOException;
import java.util.ArrayList;
import java.util.HashSet;
import java.util.List;
import java.util.Set;
import javax.xml.stream.XMLInputFactory;
import javax.xml.stream.XMLStreamConstants;
import javax.xml.stream.XMLStreamException;
import javax.xml.stream.XMLStreamReader;
import org.apache.commons.lang3.StringUtils;
public class Solution {
private static final String ROOM_ID = "RoomID";
private static final String CONTENT = "Content";
private static final String LOGIN_NAME = "LoginName";
private static final String CONVERSATION_ID = "ConversationID";
private static final String FILE_DUMP = "FileDump";
private static final String MESSAGE = "Message";
private static final String CONVERSATION = "Conversation";
private static final String START_TIME = "StartTime";
static class ConversationInfo {
private String startTimeStr;
private String conversationId;
private final Set<String> users = new HashSet<>();
private final List<Message> messages = new ArrayList<>();
@Override
public String toString() {
return String.format("%s %s (%d) %s", startTimeStr, conversationId, users.size(),
StringUtils.join(messages, " + "));
}
}
static class Message {
public final String userName;
public final String content;
public Message(String name, String content) {
this.userName = name;
this.content = content;
}
@Override
public String toString() {
return userName + " " + content;
}
}
public static void main(String[] args)
throws XMLStreamException, IOException {
XMLInputFactory xf = XMLInputFactory.newFactory();
List<ConversationInfo> m = new ArrayList<>();
try (FileInputStream fin = new FileInputStream("input.xml")) {
XMLStreamReader xr = xf.createXMLStreamReader(fin);
LOOP: while (xr.hasNext()) {
int event = xr.next();
switch (event) {
case XMLStreamConstants.START_ELEMENT: {
String elName = xr.getLocalName();
if (CONVERSATION.equals(elName)) {
ConversationInfo convInfo = parseConversation(xr);
if (convInfo != null) {
m.add(convInfo);
}
}
break;
}
case XMLStreamConstants.END_ELEMENT: {
String elName = xr.getLocalName();
if (FILE_DUMP.equals(elName)) {
break LOOP;
}
break;
}
case XMLStreamConstants.END_DOCUMENT:
throw new IllegalStateException("xml not well-formed: <"
+ FILE_DUMP + "> tag not closed");
}
}
}
try (FileWriter w = new FileWriter("output.txt")) {
int i = 1;
for (ConversationInfo convInfo : m) {
w.write(String.format("%d %s\n", i++, convInfo));
}
}
}
private static ConversationInfo parseConversation(XMLStreamReader xr)
throws XMLStreamException {
ConversationInfo convInfo = new ConversationInfo();
while (xr.hasNext()) {
int event = xr.next();
switch (event) {
case XMLStreamConstants.START_ELEMENT: {
String elName = xr.getLocalName();
if (MESSAGE.equals(elName)) {
Message message = parseMessage(xr);
if (message != null) {
convInfo.messages.add(message);
convInfo.users.add(message.userName);
}
} else if (START_TIME.equals(elName)) {
convInfo.startTimeStr = xr.getElementText();
} else if (ROOM_ID.equals(elName)) {
convInfo.conversationId = xr.getElementText();
}
break;
}
case XMLStreamConstants.END_ELEMENT: {
String elName = xr.getLocalName();
if (CONVERSATION.equals(elName)) {
return convInfo;
}
break;
}
case XMLStreamConstants.END_DOCUMENT:
throw new XMLStreamException("xml not well-formed: <"
+ CONVERSATION + "> tag not closed");
}
}
throw new XMLStreamException(
"unexpected end of xml file while parsing a conversation");
}
private static Message parseMessage(XMLStreamReader xr)
throws XMLStreamException {
String userName = null;
String content = null;
while (xr.hasNext()) {
int event = xr.next();
switch (event) {
case XMLStreamConstants.START_ELEMENT: {
String elName = xr.getLocalName();
if (LOGIN_NAME.equals(elName)) {
userName = xr.getElementText();
} else if (CONTENT.equals(elName)) {
content = StringUtils.trimToEmpty(xr.getElementText());
}
break;
}
case XMLStreamConstants.END_ELEMENT: {
String elName = xr.getLocalName();
if (MESSAGE.equals(elName)) {
return new Message(userName, content);
}
break;
}
case XMLStreamConstants.END_DOCUMENT:
throw new XMLStreamException("xml not well-formed: <"
+ MESSAGE + "> tag not closed");
}
}
throw new XMLStreamException(
"unexpected end of xml file while parsing a message");
}
}
关于java - 使用stax解析器java解析xml,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/39164884/
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