Inside the file, the text is organized into four main parts for every subtitle entry: (e.g., 1, 2, 3) to order the subtitles.
Because SRT files are essentially text documents with timing data, you can open them with any basic text editor: 6_07.srt(49571bytes)
Right-click the file and select Open with > Notepad . Mac: Right-click and choose Open with > TextEdit . Inside the file, the text is organized into
$ export HADOOP_CLASSPATH=/<PATH_TO_ALLUXIO>/client/alluxio-2.9.5-client.jar:${HADOOP_CLASSPATH}$ ./bin/hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.3.jar wordcount \
-libjars /<PATH_TO_ALLUXIO>/client/alluxio-2.9.5-client.jar <INPUT FILES> <OUTPUT DIRECTORY>$ cd $HADOOP_HOME
$ ./bin/stop-all.sh
$ ./bin/start-all.sh$ ./bin/alluxio-start.sh local SudoMount$ ./bin/alluxio fs mkdir /wordcount
$ ./bin/alluxio fs copyFromLocal LICENSE /wordcount/input.txt$ ./bin/hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.3.jar wordcount \
-libjars /<PATH_TO_ALLUXIO>/client/alluxio-2.9.5-client.jar \
alluxio://localhost:19998/wordcount/input.txt \
alluxio://localhost:19998/wordcount/output$ ./bin/alluxio fs ls /wordcount/output
$ ./bin/alluxio fs cat /wordcount/output/part-r-00000<configuration>
<property>
<name>alluxio.master.rpc.addresses</name>
<value>master_hostname_1:19998,master_hostname_2:19998,master_hostname_3:19998</value>
</property>
</configuration>$ ./bin/hadoop jar libexec/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.3.jar wordcount \
-Dalluxio.user.file.writetype.default=CACHE_THROUGH \
-libjars /<PATH_TO_ALLUXIO>/client/alluxio-2.9.5-client.jar \
<INPUT FILES> <OUTPUT DIRECTORY><configuration>
<property>
<name>fs.alluxio.impl</name>
<value>alluxio.hadoop.FileSystem</value>
</property>
</configuration>$ export HADOOP_CLASSPATH=/<PATH_TO_ALLUXIO>/client/alluxio-2.9.5-client.jar:${HADOOP_CLASSPATH}$ ls /<PATH_TO_ALLUXIO>/client/alluxio-2.9.5-client.jar