[jira] [Updated] (LUCENE-8102) CompiledAutomaton performance for determining common suffix

2017-12-18 Thread Thomas Poppe (JIRA)

 [ 
https://issues.apache.org/jira/browse/LUCENE-8102?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Thomas Poppe updated LUCENE-8102:
-
Description: 
We're using the automaton package as part of Elasticsearch for doing regexp 
queries.  Our business requires us to process rather complex regular 
expressions, for example (we have more complex examples, but this one 
illustrates the problem):

{noformat}
(¦.)*(¦?[^¦]){1,10}ab(¦.)*(¦?[^¦]){1,10}c(¦.)*(¦?[^¦]){1,10}d
{noformat}

With a large enough value of maxDeterminizedStates, this works.  The problem 
we're having is that the conversion of this regular expression to a 
CompiledAutomaton takes very long.  Almost all of the time goes into 
determining the common suffix for the Automaton (which is "d" in this example) 
- calculated with a call to Operations.getCommonSuffixBytesRef.

This suffix is only used as an optimization.  Skipping the calculation of this 
suffix allows us to process these kinds of queries.

- Would it be possible to introduce a way to skip the calculation of this 
common suffix (ideally something we control from within our query to 
Elasticsearch)?
- Or would it be possible to take a look at this getCommonSuffixBytesRef 
operation, to see if it can be optimized?  Most of the time goes to 
determinizing the reversed automaton - maybe this can be avoided somehow?


Reaction from Mike McCandless on the mailing list:
This is just an optimization; maybe we should expose an option to disable it?
Or maybe we can find the common suffix on an NFA instead, to avoid 
determinization?

  was:
We're using the automaton package as part of Elasticsearch for doing regexp 
queries.  Our business requires us to process rather complex regular 
expressions, for example (we have more complex examples, but this one 
illustrates the problem):

(¦.)*(¦?[^¦]){1,10}ab(¦.)*(¦?[^¦]){1,10}c(¦.)*(¦?[^¦]){1,10}d

With a large enough value of maxDeterminizedStates, this works.  The problem 
we're having is that the conversion of this regular expression to a 
CompiledAutomaton takes very long.  Almost all of the time goes into 
determining the common suffix for the Automaton (which is "d" in this example) 
- calculated with a call to Operations.getCommonSuffixBytesRef.

This suffix is only used as an optimization.  Skipping the calculation of this 
suffix allows us to process these kinds of queries.

- Would it be possible to introduce a way to skip the calculation of this 
common suffix (ideally something we control from within our query to 
Elasticsearch)?
- Or would it be possible to take a look at this getCommonSuffixBytesRef 
operation, to see if it can be optimized?  Most of the time goes to 
determinizing the reversed automaton - maybe this can be avoided somehow?


Reaction from Mike McCandless on the mailing list:
This is just an optimization; maybe we should expose an option to disable it?
Or maybe we can find the common suffix on an NFA instead, to avoid 
determinization?


> CompiledAutomaton performance for determining common suffix
> ---
>
> Key: LUCENE-8102
> URL: https://issues.apache.org/jira/browse/LUCENE-8102
> Project: Lucene - Core
>  Issue Type: Improvement
>  Components: core/FSTs
>Affects Versions: 7.1
>Reporter: Thomas Poppe
>
> We're using the automaton package as part of Elasticsearch for doing regexp 
> queries.  Our business requires us to process rather complex regular 
> expressions, for example (we have more complex examples, but this one 
> illustrates the problem):
> {noformat}
> (¦.)*(¦?[^¦]){1,10}ab(¦.)*(¦?[^¦]){1,10}c(¦.)*(¦?[^¦]){1,10}d
> {noformat}
> With a large enough value of maxDeterminizedStates, this works.  The problem 
> we're having is that the conversion of this regular expression to a 
> CompiledAutomaton takes very long.  Almost all of the time goes into 
> determining the common suffix for the Automaton (which is "d" in this 
> example) - calculated with a call to Operations.getCommonSuffixBytesRef.
> This suffix is only used as an optimization.  Skipping the calculation of 
> this suffix allows us to process these kinds of queries.
> - Would it be possible to introduce a way to skip the calculation of this 
> common suffix (ideally something we control from within our query to 
> Elasticsearch)?
> - Or would it be possible to take a look at this getCommonSuffixBytesRef 
> operation, to see if it can be optimized?  Most of the time goes to 
> determinizing the reversed automaton - maybe this can be avoided somehow?
> Reaction from Mike McCandless on the mailing list:
> This is just an optimization; maybe we should expose an option to disable it?
> Or maybe we can find the common suffix on an NFA instead, to avoid 
> determinization?



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[jira] [Created] (LUCENE-8102) CompiledAutomaton performance for determining common suffix

2017-12-18 Thread Thomas Poppe (JIRA)
Thomas Poppe created LUCENE-8102:


 Summary: CompiledAutomaton performance for determining common 
suffix
 Key: LUCENE-8102
 URL: https://issues.apache.org/jira/browse/LUCENE-8102
 Project: Lucene - Core
  Issue Type: Improvement
  Components: core/FSTs
Affects Versions: 7.1
Reporter: Thomas Poppe


We're using the automaton package as part of Elasticsearch for doing regexp 
queries.  Our business requires us to process rather complex regular 
expressions, for example (we have more complex examples, but this one 
illustrates the problem):

(¦.)*(¦?[^¦]){1,10}ab(¦.)*(¦?[^¦]){1,10}c(¦.)*(¦?[^¦]){1,10}d

With a large enough value of maxDeterminizedStates, this works.  The problem 
we're having is that the conversion of this regular expression to a 
CompiledAutomaton takes very long.  Almost all of the time goes into 
determining the common suffix for the Automaton (which is "d" in this example) 
- calculated with a call to Operations.getCommonSuffixBytesRef.

This suffix is only used as an optimization.  Skipping the calculation of this 
suffix allows us to process these kinds of queries.

- Would it be possible to introduce a way to skip the calculation of this 
common suffix (ideally something we control from within our query to 
Elasticsearch)?
- Or would it be possible to take a look at this getCommonSuffixBytesRef 
operation, to see if it can be optimized?  Most of the time goes to 
determinizing the reversed automaton - maybe this can be avoided somehow?


Reaction from Mike McCandless on the mailing list:
This is just an optimization; maybe we should expose an option to disable it?
Or maybe we can find the common suffix on an NFA instead, to avoid 
determinization?



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[jira] [Comment Edited] (LUCENE-7921) More efficient way to transform a RegExp to an Automaton

2017-08-09 Thread Thomas Poppe (JIRA)

[ 
https://issues.apache.org/jira/browse/LUCENE-7921?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16119540#comment-16119540
 ] 

Thomas Poppe edited comment on LUCENE-7921 at 8/9/17 9:46 AM:
--

Thanks for your comment Dawid.  One more thing I would like to note: the second 
case also takes more memory and CPU to convert to an automaton, so there might 
be an opportunity to optimize - but I guess you were already suggesting that.


was (Author: thomaspoppe):
Thanks for your comment Dawid.  One more think I would like to note: the second 
case also takes more memory and CPU to convert to an automaton, so there might 
be an opportunity to optimize - but I guess you were already suggesting that.

> More efficient way to transform a RegExp to an Automaton
> 
>
> Key: LUCENE-7921
> URL: https://issues.apache.org/jira/browse/LUCENE-7921
> Project: Lucene - Core
>  Issue Type: Improvement
>Affects Versions: 6.5.1
>Reporter: Thomas Poppe
>Priority: Minor
> Attachments: capture-7.png, capture-8.png
>
>
> Consider the following example:
> {code:title=ToAutomatonExample.java|borderStyle=solid}
> public static void main(String[] args) {
> org.apache.lucene.util.automaton.RegExp regExp =
> new 
> org.apache.lucene.util.automaton.RegExp("[a-z]{1,13}x[a-z][a-z]?[a-z]?[a-z]?[a-z]?[a-z]{0,8}");
> org.apache.lucene.util.automaton.Automaton automaton = 
> regExp.toAutomaton();
> System.out.println("states: " + automaton.getNumStates());
> System.out.println("transitions: " + automaton.getNumTransitions());
> System.out.println("---");
> try {
> regExp = new 
> org.apache.lucene.util.automaton.RegExp("[a-z]{1,13}x[a-z]{1,13}");
> automaton = regExp.toAutomaton();
> System.out.println("Will not happen...");
> } catch 
> (org.apache.lucene.util.automaton.TooComplexToDeterminizeException e) {
> automaton = regExp.toAutomaton(1_000_000);
> System.out.println("states: " + automaton.getNumStates());
> System.out.println("transitions: " + 
> automaton.getNumTransitions());
> System.out.println("---");
> }
> }
> {code}
> Both regular expressions are equivalent, but it's much more efficient to 
> "unroll" the repetition.  It might be possible to optimize the 
> Regex#toAutomaton() method to handle this repetition without going over the 
> default number of determinized states, and using less memory and CPU?



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[jira] [Comment Edited] (LUCENE-7921) More efficient way to transform a RegExp to an Automaton

2017-08-09 Thread Thomas Poppe (JIRA)

[ 
https://issues.apache.org/jira/browse/LUCENE-7921?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16119540#comment-16119540
 ] 

Thomas Poppe edited comment on LUCENE-7921 at 8/9/17 7:56 AM:
--

Thanks for your comment Dawid.  One more think I would like to note: the second 
case also takes more memory and CPU to convert to an automaton, so there might 
be an opportunity to optimize - but I guess you were already suggesting that.


was (Author: thomaspoppe):
Thanks for your comment Dawid.  One more think I would like to note: the second 
case also takes more memory and CPU to convert to an automaton, so there might 
be an opportunity to optimize.

> More efficient way to transform a RegExp to an Automaton
> 
>
> Key: LUCENE-7921
> URL: https://issues.apache.org/jira/browse/LUCENE-7921
> Project: Lucene - Core
>  Issue Type: Improvement
>Affects Versions: 6.5.1
>Reporter: Thomas Poppe
>Priority: Minor
>
> Consider the following example:
> {code:title=ToAutomatonExample.java|borderStyle=solid}
> public static void main(String[] args) {
> org.apache.lucene.util.automaton.RegExp regExp =
> new 
> org.apache.lucene.util.automaton.RegExp("[a-z]{1,13}x[a-z][a-z]?[a-z]?[a-z]?[a-z]?[a-z]{0,8}");
> org.apache.lucene.util.automaton.Automaton automaton = 
> regExp.toAutomaton();
> System.out.println("states: " + automaton.getNumStates());
> System.out.println("transitions: " + automaton.getNumTransitions());
> System.out.println("---");
> try {
> regExp = new 
> org.apache.lucene.util.automaton.RegExp("[a-z]{1,13}x[a-z]{1,13}");
> automaton = regExp.toAutomaton();
> System.out.println("Will not happen...");
> } catch 
> (org.apache.lucene.util.automaton.TooComplexToDeterminizeException e) {
> automaton = regExp.toAutomaton(1_000_000);
> System.out.println("states: " + automaton.getNumStates());
> System.out.println("transitions: " + 
> automaton.getNumTransitions());
> System.out.println("---");
> }
> }
> {code}
> Both regular expressions are equivalent, but it's much more efficient to 
> "unroll" the repetition.  It might be possible to optimize the 
> Regex#toAutomaton() method to handle this repetition without going over the 
> default number of determinized states, and using less memory and CPU?



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[jira] [Commented] (LUCENE-7921) More efficient way to transform a RegExp to an Automaton

2017-08-09 Thread Thomas Poppe (JIRA)

[ 
https://issues.apache.org/jira/browse/LUCENE-7921?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16119540#comment-16119540
 ] 

Thomas Poppe commented on LUCENE-7921:
--

Thanks for your comment Dawid.  One more think I would like to note: the second 
case also takes more memory and CPU to convert to an automaton, so there might 
be an opportunity to optimize.

> More efficient way to transform a RegExp to an Automaton
> 
>
> Key: LUCENE-7921
> URL: https://issues.apache.org/jira/browse/LUCENE-7921
> Project: Lucene - Core
>  Issue Type: Improvement
>Affects Versions: 6.5.1
>Reporter: Thomas Poppe
>Priority: Minor
>
> Consider the following example:
> {code:title=ToAutomatonExample.java|borderStyle=solid}
> public static void main(String[] args) {
> org.apache.lucene.util.automaton.RegExp regExp =
> new 
> org.apache.lucene.util.automaton.RegExp("[a-z]{1,13}x[a-z][a-z]?[a-z]?[a-z]?[a-z]?[a-z]{0,8}");
> org.apache.lucene.util.automaton.Automaton automaton = 
> regExp.toAutomaton();
> System.out.println("states: " + automaton.getNumStates());
> System.out.println("transitions: " + automaton.getNumTransitions());
> System.out.println("---");
> try {
> regExp = new 
> org.apache.lucene.util.automaton.RegExp("[a-z]{1,13}x[a-z]{1,13}");
> automaton = regExp.toAutomaton();
> System.out.println("Will not happen...");
> } catch 
> (org.apache.lucene.util.automaton.TooComplexToDeterminizeException e) {
> automaton = regExp.toAutomaton(1_000_000);
> System.out.println("states: " + automaton.getNumStates());
> System.out.println("transitions: " + 
> automaton.getNumTransitions());
> System.out.println("---");
> }
> }
> {code}
> Both regular expressions are equivalent, but it's much more efficient to 
> "unroll" the repetition.  It might be possible to optimize the 
> Regex#toAutomaton() method to handle this repetition without going over the 
> default number of determinized states, and using less memory and CPU?



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[jira] [Commented] (LUCENE-7921) More efficient way to transform a RegExp to an Automaton

2017-08-09 Thread Thomas Poppe (JIRA)

[ 
https://issues.apache.org/jira/browse/LUCENE-7921?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16119523#comment-16119523
 ] 

Thomas Poppe commented on LUCENE-7921:
--

It's the opposite: unrolling gets you the benefit.  I was hoping more for the 
conclusion that none of the cases should be throwing the exception - as the 
regexp is not that complex, and neither is the resulting automaton.  
Elasticsearch has no problems executing it (in the unrolled variant).

> More efficient way to transform a RegExp to an Automaton
> 
>
> Key: LUCENE-7921
> URL: https://issues.apache.org/jira/browse/LUCENE-7921
> Project: Lucene - Core
>  Issue Type: Improvement
>Affects Versions: 6.5.1
>Reporter: Thomas Poppe
>Priority: Minor
>
> Consider the following example:
> {code:title=ToAutomatonExample.java|borderStyle=solid}
> public static void main(String[] args) {
> org.apache.lucene.util.automaton.RegExp regExp =
> new 
> org.apache.lucene.util.automaton.RegExp("[a-z]{1,13}x[a-z][a-z]?[a-z]?[a-z]?[a-z]?[a-z]{0,8}");
> org.apache.lucene.util.automaton.Automaton automaton = 
> regExp.toAutomaton();
> System.out.println("states: " + automaton.getNumStates());
> System.out.println("transitions: " + automaton.getNumTransitions());
> System.out.println("---");
> try {
> regExp = new 
> org.apache.lucene.util.automaton.RegExp("[a-z]{1,13}x[a-z]{1,13}");
> automaton = regExp.toAutomaton();
> System.out.println("Will not happen...");
> } catch 
> (org.apache.lucene.util.automaton.TooComplexToDeterminizeException e) {
> automaton = regExp.toAutomaton(1_000_000);
> System.out.println("states: " + automaton.getNumStates());
> System.out.println("transitions: " + 
> automaton.getNumTransitions());
> System.out.println("---");
> }
> }
> {code}
> Both regular expressions are equivalent, but it's much more efficient to 
> "unroll" the repetition.  It might be possible to optimize the 
> Regex#toAutomaton() method to handle this repetition without going over the 
> default number of determinized states, and using less memory and CPU?



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[jira] [Updated] (LUCENE-7921) More efficient way to transform a RegExp to an Automaton

2017-08-09 Thread Thomas Poppe (JIRA)

 [ 
https://issues.apache.org/jira/browse/LUCENE-7921?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Thomas Poppe updated LUCENE-7921:
-
Description: 
Consider the following example:

{code:title=ToAutomatonExample.java|borderStyle=solid}
public static void main(String[] args) {
org.apache.lucene.util.automaton.RegExp regExp =
new 
org.apache.lucene.util.automaton.RegExp("[a-z]{1,13}x[a-z][a-z]?[a-z]?[a-z]?[a-z]?[a-z]{0,8}");
org.apache.lucene.util.automaton.Automaton automaton = 
regExp.toAutomaton();
System.out.println("states: " + automaton.getNumStates());
System.out.println("transitions: " + automaton.getNumTransitions());
System.out.println("---");

try {
regExp = new 
org.apache.lucene.util.automaton.RegExp("[a-z]{1,13}x[a-z]{1,13}");
automaton = regExp.toAutomaton();
System.out.println("Will not happen...");
} catch 
(org.apache.lucene.util.automaton.TooComplexToDeterminizeException e) {
automaton = regExp.toAutomaton(1_000_000);
System.out.println("states: " + automaton.getNumStates());
System.out.println("transitions: " + automaton.getNumTransitions());
System.out.println("---");
}
}
{code}

Both regular expressions are equivalent, but it's much more efficient to 
"unroll" the repetition.  It might be possible to optimize the 
Regex#toAutomaton() method to handle this repetition without going over the 
default number of determinized states, and using less memory and CPU?

  was:
Consider the following example:

public static void main(String[] args) {
org.apache.lucene.util.automaton.RegExp regExp =
new 
org.apache.lucene.util.automaton.RegExp("[a-z]{1,13}x[a-z][a-z]?[a-z]?[a-z]?[a-z]?[a-z]{0,8}");
org.apache.lucene.util.automaton.Automaton automaton = 
regExp.toAutomaton();
System.out.println("states: " + automaton.getNumStates());
System.out.println("transitions: " + automaton.getNumTransitions());
System.out.println("---");

try {
regExp = new 
org.apache.lucene.util.automaton.RegExp("[a-z]{1,13}x[a-z]{1,13}");
automaton = regExp.toAutomaton();
System.out.println("Will not happen...");
} catch 
(org.apache.lucene.util.automaton.TooComplexToDeterminizeException e) {
automaton = regExp.toAutomaton(1_000_000);
System.out.println("states: " + automaton.getNumStates());
System.out.println("transitions: " + automaton.getNumTransitions());
System.out.println("---");
}
}

Both regular expressions are equivalent, but it's much more efficient to 
"unroll" the repetition.  It might be possible to optimize the 
Regex#toAutomaton() method to handle this repetition without going over the 
default number of determinized states, and using less memory and CPU?


> More efficient way to transform a RegExp to an Automaton
> 
>
> Key: LUCENE-7921
> URL: https://issues.apache.org/jira/browse/LUCENE-7921
> Project: Lucene - Core
>  Issue Type: Improvement
>Affects Versions: 6.5.1
>Reporter: Thomas Poppe
>Priority: Minor
>
> Consider the following example:
> {code:title=ToAutomatonExample.java|borderStyle=solid}
> public static void main(String[] args) {
> org.apache.lucene.util.automaton.RegExp regExp =
> new 
> org.apache.lucene.util.automaton.RegExp("[a-z]{1,13}x[a-z][a-z]?[a-z]?[a-z]?[a-z]?[a-z]{0,8}");
> org.apache.lucene.util.automaton.Automaton automaton = 
> regExp.toAutomaton();
> System.out.println("states: " + automaton.getNumStates());
> System.out.println("transitions: " + automaton.getNumTransitions());
> System.out.println("---");
> try {
> regExp = new 
> org.apache.lucene.util.automaton.RegExp("[a-z]{1,13}x[a-z]{1,13}");
> automaton = regExp.toAutomaton();
> System.out.println("Will not happen...");
> } catch 
> (org.apache.lucene.util.automaton.TooComplexToDeterminizeException e) {
> automaton = regExp.toAutomaton(1_000_000);
> System.out.println("states: " + automaton.getNumStates());
> System.out.println("transitions: " + 
> automaton.getNumTransitions());
> System.out.println("---");
> }
> }
> {code}
> Both regular expressions are equivalent, but it's much more efficient to 
> "unroll" the repetition.  It might be possible to optimize the 
> Regex#toAutomaton() method to handle this repetition without going over the 
> default n

[jira] [Created] (LUCENE-7921) More efficient way to transform a RegExp to an Automaton

2017-08-09 Thread Thomas Poppe (JIRA)
Thomas Poppe created LUCENE-7921:


 Summary: More efficient way to transform a RegExp to an Automaton
 Key: LUCENE-7921
 URL: https://issues.apache.org/jira/browse/LUCENE-7921
 Project: Lucene - Core
  Issue Type: Improvement
Affects Versions: 6.5.1
Reporter: Thomas Poppe
Priority: Minor


Consider the following example:

public static void main(String[] args) {
org.apache.lucene.util.automaton.RegExp regExp =
new 
org.apache.lucene.util.automaton.RegExp("[a-z]{1,13}x[a-z][a-z]?[a-z]?[a-z]?[a-z]?[a-z]{0,8}");
org.apache.lucene.util.automaton.Automaton automaton = 
regExp.toAutomaton();
System.out.println("states: " + automaton.getNumStates());
System.out.println("transitions: " + automaton.getNumTransitions());
System.out.println("---");

try {
regExp = new 
org.apache.lucene.util.automaton.RegExp("[a-z]{1,13}x[a-z]{1,13}");
automaton = regExp.toAutomaton();
System.out.println("Will not happen...");
} catch 
(org.apache.lucene.util.automaton.TooComplexToDeterminizeException e) {
automaton = regExp.toAutomaton(1_000_000);
System.out.println("states: " + automaton.getNumStates());
System.out.println("transitions: " + automaton.getNumTransitions());
System.out.println("---");
}
}

Both regular expressions are equivalent, but it's much more efficient to 
"unroll" the repetition.  It might be possible to optimize the 
Regex#toAutomaton() method to handle this repetition without going over the 
default number of determinized states, and using less memory and CPU?



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