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60
src/INSTALL
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@ -737,7 +737,65 @@ Chapter 5. Installation and configuration
memory, you can try higher values between 20 and 80. In my memory, you can try higher values between 20 and 80. In my
experience, values beyond 100 are always counterproductive. experience, values beyond 100 are always counterproductive.
5.4.1.4. Miscellaneous parameters: 5.4.1.4. Indexing parallelism configuration
The Recoll indexing process recollindex can use multiple threads to speed
up indexing on multiprocessor systems. The work done to index files is
divided in several stages and some of the stages can be executed by
multiple threads. The stages are:
1. File system walking: this is always performed by the main thread.
2. File conversion and data extraction.
3. Text processing (splitting, stemming, etc.)
4. Xapian index update.
You can also read a longer document about the transformation of Recoll
indexing to multithreading.
The threads configuration is controlled by two configuration file
parameters.
thrQSizes
This variable defines the job input queues configuration. There
are three possible queues for stages 2, 3 and 4, and this
parameter should give the queue depth for each stage (three
integer values). If a value of -1 is used for a given stage, no
queue is used, and the thread will go on performing the next
stage. In practise, deep queues have not been shown to increase
performance. A value of 0 for the first queue tells Recoll to
perform autoconfiguration (no need for the two other values in
this case)- this is the default configuration.
thrTCounts
This defines the number of threads used for each stage. If a value
of -1 is used for one of the queue depths, the corresponding
thread count is ignored. It makes no sense to use a value other
than 1 for the last stage because updating the Xapian index is
necessarily single-threaded (and protected by a mutex).
The following example would use three queues (of depth 2), and 4 threads
for converting source documents, 2 for processing their text, and one to
update the index. This was tested to be the best configuration on the test
system (quadri-processor with multiple disks).
thrQSizes = 2 2 2
thrTCounts = 4 2 1
The following example would use a single queue, and the complete
processing for each document would be performed by a single thread
(several documents will still be processed in parallel in most cases). The
threads will use mutual exclusion when entering the index update stage. In
practise the performance would be close to the precedent case in general,
but worse in certain cases (e.g. a Zip archive would be performed purely
sequentially), so the previous approach is preferred. YMMV... The 2 last
values for thrTCounts are ignored.
thrQSizes = 2 -1 -1
thrTCounts = 6 1 1
5.4.1.5. Miscellaneous parameters:
autodiacsens autodiacsens

60
src/README
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@ -3642,7 +3642,65 @@ Chapter 5. Installation and configuration
memory, you can try higher values between 20 and 80. In my memory, you can try higher values between 20 and 80. In my
experience, values beyond 100 are always counterproductive. experience, values beyond 100 are always counterproductive.
5.4.1.4. Miscellaneous parameters: 5.4.1.4. Indexing parallelism configuration
The Recoll indexing process recollindex can use multiple threads to speed
up indexing on multiprocessor systems. The work done to index files is
divided in several stages and some of the stages can be executed by
multiple threads. The stages are:
1. File system walking: this is always performed by the main thread.
2. File conversion and data extraction.
3. Text processing (splitting, stemming, etc.)
4. Xapian index update.
You can also read a longer document about the transformation of Recoll
indexing to multithreading.
The threads configuration is controlled by two configuration file
parameters.
thrQSizes
This variable defines the job input queues configuration. There
are three possible queues for stages 2, 3 and 4, and this
parameter should give the queue depth for each stage (three
integer values). If a value of -1 is used for a given stage, no
queue is used, and the thread will go on performing the next
stage. In practise, deep queues have not been shown to increase
performance. A value of 0 for the first queue tells Recoll to
perform autoconfiguration (no need for the two other values in
this case)- this is the default configuration.
thrTCounts
This defines the number of threads used for each stage. If a value
of -1 is used for one of the queue depths, the corresponding
thread count is ignored. It makes no sense to use a value other
than 1 for the last stage because updating the Xapian index is
necessarily single-threaded (and protected by a mutex).
The following example would use three queues (of depth 2), and 4 threads
for converting source documents, 2 for processing their text, and one to
update the index. This was tested to be the best configuration on the test
system (quadri-processor with multiple disks).
thrQSizes = 2 2 2
thrTCounts = 4 2 1
The following example would use a single queue, and the complete
processing for each document would be performed by a single thread
(several documents will still be processed in parallel in most cases). The
threads will use mutual exclusion when entering the index update stage. In
practise the performance would be close to the precedent case in general,
but worse in certain cases (e.g. a Zip archive would be performed purely
sequentially), so the previous approach is preferred. YMMV... The 2 last
values for thrTCounts are ignored.
thrQSizes = 2 -1 -1
thrTCounts = 6 1 1
5.4.1.5. Miscellaneous parameters:
autodiacsens autodiacsens