I want to get details about a selected harbour,by taking val s from a list extracted using readLines from a .txt file, where each harbour has a .txt file in the assets directory. I generate the file name but when the app is run in the emulator I get a file not found error.
In this case I am trying to get at a file called Brehatharm.txt
var portChosen = "Brehat"
//"tide2a/app/src/main/assets/"+//various paths to try
fileName = "assets/"+portChosen+"harm.txt"
val harmConsList:List<String> = File(fileName).readLines()
val portDisplayName = harmConsList[0]
val longTude = harmConsList[1]
val MTL =harmConsList[2]
etc,
The log cat reads :-
2021-01-10 15:40:34.044 7108-7108/com.example.tide2a E/AndroidRuntime: FATAL EXCEPTION: main
Process: com.example.tide2a, PID: 7108
java.lang.RuntimeException: Unable to start activity ComponentInfo{com.example.tide2a/com.example.tide2a.MainActivity}: java.io.FileNotFoundException: assets/Brehatharm.txt: open failed: ENOENT (No such file or directory)
The full windows path to the file is :-
C:\Users.......\OneDrive\Coding projects\tide2a\app\src\main\assets\Brehatharm.txt
I am sure the file is there, and spelled correctly, so I suspect I am specifying the path incorrectly. Please advise me.
Files in assets/ cannot be accessed using the File class. Use context.assets to get the AssetManager, and you can open InputStreams to the files.
Related
I'm using below code to list out files in nested folder
val hdfspath="/data/retail/apps/*/landing"
import org.apache.hadoop.fs. (FileSystem, Path) val fs= org.apache.hadoop.fs.FileSystem.get (spark.sparkContext.hadoopConfiguration) fs.listStatus (new Path (s"S(hdfspath)")).filter(.isDirectory).map(_.getPath).foreach (printin)
If I use path as below
hdfspath="/data/retail/apps"
getting results but if I use val hdfspath="/data/retail/apps/*/landing" then I'm getting error it's showing path not exist error.plese help me out.
Error Image
according to this answer, you need to use globStauts instead of listStatus:
fs.globStatus(new Path (s"S(hdfspath)")).filter(.isDirectory).map(_.getPath).foreach (println)
I am getting an error writing a file, that is driving me crazy.
I have an C# netcore 5 application running on RH Linux.
I mounted an shared folder (windows) using: sudo mount -t cifs -o username=MyDomainUsername,password=MyDomainUsernamePassword,domain=MyDomain,dir_mode=0777,file_mode=0777 //ipv4_from_destination/Reports /fileshare/Reports
Then I run the app, using just ./WebApi --urls=http://+:8060
The read/write test executes the following steps:
Create a text file.
Write the text file.
Delete de text file.
Creates a directory
Creates a text file inside that directory
Writes the text file
Deletes the text file
Deletes the directory.
Now the problem:
The text file is created
The write operation fails.
Where goes part of the log:
Creating file: /fileshare/Reports/test.616db7d1-07fb-4599-a0cf-749e6a8b34ec.tmp...Ok
Writing file: /fileshare/Reports/test.616db7d1-07fb-4599-a0cf-749e6a8b34ec.tmp...[16:22:20 ERR] ID:87988856-a765-4474-9ed9-2f04aef35771 PATH:/api/about ERROR:System.UnauthorizedAccessException:Access to the path '/fileshare/Reports/test.616db7d1-07fb-4599-a0cf-749e6a8b34ec.tmp' is denied. TRACE: at System.IO.FileStream.WriteNative(ReadOnlySpan`1 source)
at System.IO.FileStream.FlushWriteBuffer()
at System.IO.FileStream.FlushInternalBuffer()
at System.IO.FileStream.Flush(Boolean flushToDisk)
at System.IO.FileStream.Flush()
at System.IO.StreamWriter.Flush(Boolean flushStream, Boolean flushEncoder)
at System.IO.StreamWriter.Flush()
at WebApi.Controllers.ApplicationController.TestFileSystem(String folder) in xxxxxxx\WebApi\Controllers\ApplicationController.cs:line 116
What I discovered so far:
I can create and delete the files and directories.
I cannot write to files.
Can someone give me an hint on this?
Solved using the cifs option nobrl
Am trying to read some files from HDFS using spark sc.wholeTextFiles, I pass a list of the required files, yet the job keeps throwing
py4j.protocol.Py4JJavaError: An error occurred while calling o98.showString.
: org.apache.hadoop.mapreduce.lib.input.InvalidInputException: Input path does not exist:
if one of the files didn't exist.
how can I bypass the not found files and only read found ones ?
To know if a file exists (and delete it, in my case) I do the following:
import org.apache.hadoop.fs.{FileSystem, Path}
val fs = FileSystem.get(spark.sparkContext.hadoopConfiguration)
if (fs.exists(new Path(fullPath))) {
println("Output directory already exists. Deleting it...")
fs.delete(new Path(fullPath), true)
}
Use jvm File system from spark context to check file
fs.exists(sc._jvm.org.apache.hadoop.fs.Path("path/to/file.csv"))
fs = sc._jvm.org.apache.hadoop.fs.FileSystem.get(sc._jsc.hadoopConfiguration())
fs.exists(sc._jvm.org.apache.hadoop.fs.Path("test.csv"))
True
fs.exists(sc._jvm.org.apache.hadoop.fs.Path("fail_test.csv"))
False
I'm using node.js and want to send file to the frontend. So I specified the direct path to my file like:
path = "c:/app/A"
and when I run res.sendFile(path, fileName);
I'm getting the Error: ENOENT: no such file or directory, stat '/home/projects/c:/app/A'
How I can disable this auto path adding "/home/projects" part?
I want to download file that is not in my project folder with my code. File is in my computer in different folder.
Try to use \\ as path delimiter for Windows (c:\\app\\A) and read about Node.js module "path".
so I need use just new URL(file:${"c:/app/A"});
so it will be like that:
let filename = "someName.com"
let absPath = "c:/app/someName.com";
fs.writeFileSync(`${filename}`, fs.readFileSync(new URL(`file:${absPath}`)));
res.download(`${filename}`, `${filename}`)
Trying to load CSV file while doing simple linear regression . When I try to run , the error is coming as - "File name" is not exist as file/directory . Do I need to save the file in a particular folder or directory ?
try to use the full qualified path, or in the same directory of the main programm