apache/hadoop · error · IOException
Mount table {mountTableName} has already been configured wit
Error message
Mount table {mountTableName} has already been configured with a link fallback. Multiple fallback links for the same mount table is not allowed. What it means
Error "Mount table {mountTableName} has already been configured with a link fallback. Multiple fallback links for the same mount table is not allowed." thrown in apache/hadoop.
Source
Thrown at hadoop-common-project/hadoop-common/src/main/java/org/apache/hadoop/fs/viewfs/InodeTree.java:736
} // End of for loop.
if (isMergeSlashConfigured) {
Preconditions.checkNotNull(mergeSlashTarget);
root = new INodeLink<T>(mountTableName, ugi,
initAndGetTargetFs(), mergeSlashTarget);
mountPoints.add(new MountPoint<T>("/", (INodeLink<T>) root));
rootFallbackLink = null;
} else {
root = new INodeDir<T>("/", UserGroupInformation.getCurrentUser());
getRootDir().setInternalDirFs(getTargetFileSystem(getRootDir()));
getRootDir().setRoot(true);
INodeLink<T> fallbackLink = null;
for (LinkEntry le : getLinkEntries(linkEntries)) {
switch (le.getLinkType()) {
case SINGLE_FALLBACK:
if (fallbackLink != null) {
throw new IOException("Mount table " + mountTableName
+ " has already been configured with a link fallback. "
+ "Multiple fallback links for the same mount table is "
+ "not allowed.");
}
fallbackLink = new INodeLink<T>(mountTableName, ugi,
initAndGetTargetFs(), le.getTarget());
continue;
case REGEX:
addRegexMountEntry(le);
continue;
default:
createLink(le.getSrc(), le.getTarget(), le.getLinkType(),
le.getSettings(), le.getUgi(), le.getConfig());
}
}
rootFallbackLink = fallbackLink;
getRootDir().addFallbackLink(rootFallbackLink);
}View on GitHub (pinned to 2add963021)
Solutions
- Configure only one linkFallback entry per mount table.
- Remove the duplicate fallback link entries from the configuration.
When it happens
Trigger: Thrown during ViewFs mount table initialization when more than one linkFallback entry is configured for the same mount table.
Common situations: See trigger scenarios.
AI-assisted analysis of apache/hadoop@2add963021 (2026-08-22).
Data as JSON: /api/errors/98bf6c42808b51e0.
Report an issue: GitHub.