What OS/filesystem are you using?

The code looks fine to me. 2 or more searches running at the same time on the same index should be harmless; this happens in Lucene all the time in normal applications.

Are you sure you're re-using already opened Searchers, and not accidentally opening a new searcher per user's search?

Is it possible you are running out of file descriptors? That IOException (generic Input/output error) means there is a low level IO issue.

Mike

JulieSoko wrote:


Hello All,
First of all I’m new to Lucene, and have written code using it to search
over 1 to man indexes, using a user defined query.
I don't have any code on this system so have to type everything in here...
I have the following design but am getting
An Input / Output error exception which I have typed in a part of it below.
My question is this?  Do I have  glaring flaw
In this design?  I am reusing the IndexSearchers/IndexReaders and not
closing them.   The input/output error arises when 2 or
More searches occur at the same time over some of the same indexes. Can you
give me some direction where I should look
For the solution to the exception?

Here is an explanation of my
   Data:
       Up to 60 different indexes used at a time
        1 directory per 1 day of data
       Millions of documents per day
Data is received and indexes merged on a continual bases - whole
separate process

   Index contains
value: content eventType: type of data eventTime: time data
collected

1 to many users can create individual queries containing 1 or more of
the fields and values
   searching over 1 to many indexes

   Design:
        Utilize the IndexAccessor classes  to cache
IndexSearcher/IndexReaders i.e. they are made one per index  and never
closed.


Use a ParallelMultiSearcher - create one per request using 1 to
many of the indexes

        try {
        QueryParser parser = new QueryParser("value", new
StandardAnalyzer(0);
        parser.setDefaultOperator(QueryParser.AND_OPERATOR);
        Query query = parser.parse(queryString);

       TopDocCollector col = new TopDocCollector(MAX_NUMBER_HITS);
       multiSearcher.search(query, new
RangeFilter("eventTime",startTime,endTime,true,true),col);
       int numHits = col.getTotalHits(0);
       TopDocs docs = col.topDocs();

       if (numHits > 0))
         for (int i=0; i< numHits && i< MAX_NUMBER_HITS; i++)[
           Document doc = multiSearcher.doc(docs.scoreDocs[i].doc);
             ....
         }

    }catch(Exception e  ){
        e.printStackTrace();
 } finally{
     //IndexSearchers are not closed since shared by many users
}




When the second user accesses directories used by the first query then I get
the following error:

java.io.IOException: Input/output error
java.io.RandomAccessFile.readBytes(Native Method)
java.io.RandomAccessFile.read(RandomAccessFile.java:315)
at
org.apache.lucene.store.FSDirecotry $FSIndexInput.readInternal(FSDirectory.java:550)
at
org .apache .lucene.store.BufferedIndexInput.readBytes(BufferedInputInput.java: 131)
at
org.apache.lucene.index.CompoundFileReader $CSIndexInput.readInternal(CompoundFileReader.java:240)
at
org .apache .lucene.instoreBufferedIndexInput.refill(BufferedIndexInput.java:
152)
at
org .apache .lucene.instoreBufferedIndexInput.readByte(BufferedIndexInput.java:
152)
at org.lucene.store.IndexInput.readVInt(IndexInput.java:76)
at org.apache.lucene.index.TermBuffer.read(TermBuffer.java:63)
at org.apache.lucene.index.SegmentTermEnum.next(SegmentTermEnum.java: 123) at org.apache.lucene.index.SegmentTermEnum.scanTo(SegmentTermEnum.java: 154)
at
org .apache.lucene.index.TermInfosReader.scanEnum(TermInfosReader.java: 223) at org.apache.lucene.index.TermInfosReader.get(TermInfosReader.java: 217) at org.apache.lucene.index.SegmentReader.docFreq(SegmentReader.java: 678) at org.apache.lucene.search.IndexSearcher.docFreq(IndexSearcher.java: 87)
at org.apache.lucene.search.Searcher.docFreqs(searcher.java:118)
at
org .apache.lucene.search.MultiSearcher.createWeight(MultiSearcher.java: 311)
at org.apache.lucene.search.Searcher.search(Searcher.java:178)

Thanks!

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