This is an automated email from the ASF dual-hosted git repository.
paulk pushed a commit to branch asf-site
in repository https://gitbox.apache.org/repos/asf/groovy-website.git
The following commit(s) were added to refs/heads/asf-site by this push:
new 9207be3 draft blog about using lucene with groovy (minor tweaks)
9207be3 is described below
commit 9207be383082e2a3bb6ad1ad23af6f7f26a7d714
Author: Paul King <[email protected]>
AuthorDate: Tue Nov 19 08:06:38 2024 +1000
draft blog about using lucene with groovy (minor tweaks)
---
site/src/site/blog/groovy-lucene.adoc | 22 ++++++++++++----------
1 file changed, 12 insertions(+), 10 deletions(-)
diff --git a/site/src/site/blog/groovy-lucene.adoc
b/site/src/site/blog/groovy-lucene.adoc
index 7b43c29..df2c5d5 100644
--- a/site/src/site/blog/groovy-lucene.adoc
+++ b/site/src/site/blog/groovy-lucene.adoc
@@ -73,16 +73,16 @@ var histogram = [:].withDefault { 0 }
new File(blogBaseDir).traverse(nameFilter: ~/.*\.adoc/) { file -> // <2>
var m = file.text =~ tokenRegex // <3>
- var projects = m*.get(2).grep()*.toLowerCase()*.replaceAll('\n', '
').countBy() // <4>
- if (projects) {
- println "$file.name: $projects" // <5>
- projects.each { k, v -> histogram[k] += v } // <6>
+ var projects = m*.get(2).grep()*.toLowerCase()*.replaceAll('\n', ' ') //
<4>
+ var counts = projects.countBy() // <5>
+ if (counts) {
+ println "$file.name: $counts" // <6>
+ counts.each { k, v -> histogram[k] += v } // <7>
}
}
println()
-
-histogram.sort { e -> -e.value }.each { k, v -> // <7>
+histogram.sort { e -> -e.value }.each { k, v -> // <8>
var label = "$k ($v)"
println "${label.padRight(32)} ${bar(v, 0, 50, 50)}"
}
@@ -90,10 +90,11 @@ histogram.sort { e -> -e.value }.each { k, v -> // <7>
<1> You'd need to check out the Groovy website and point to it here
<2> This traverse the directory processing each asciidoc file
<3> We define our matcher
-<4> This pulls out project names (capture group 2) and ignores other words
(using grep) then aggregates the hits for that file
-<5> We print out each blog post file name and its project references
-<6> We add the file aggregates to the overall aggregates
-<7> We print out the pretty ascii barchart summarising the overall aggregates
+<4> This pulls out project names (capture group 2), ignores other words (using
grep), converts to lowercase, and removes newlines for the case where a term
might span over the end of a line
+<5> This aggregates the count hits for that file
+<6> We print out each blog post file name and its project references
+<7> We add the file aggregates to the overall aggregates
+<8> We print out the pretty ascii barchart summarising the overall aggregates
The output looks like:
@@ -158,6 +159,7 @@ apache flink (1) █▏
== Using Lucene
+image:https://www.apache.org/logos/res/lucene/default.png[lucene
logo,100,float="right"]
Okay, regular expressions weren't that hard but in general we might want to
search many things.
Search frameworks like Lucene help with that. Let's see what it looks like to
apply
Lucene to our problem.
