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<?xml version="1.0" encoding="UTF-8" standalone="no" ?>
<!--
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. See the NOTICE file
distributed with this work for additional information
regarding copyright ownership. The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License"); you may not use this file except in compliance
with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing,
software distributed under the License is distributed on an
"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
KIND, either express or implied. See the License for the
specific language governing permissions and limitations
under the License.
-->
<reports>
<before>
<!-- <sql>create index on x</sql>-->
</before>
<!-- MIMES -->
<report reportName="All Mimes"
reportFilename="mimes/all_mimes.xlsx"
format="xlsx"
includeSql="true">
<sql>
select mime_string, count(1) cnt from
profiles p
join mimes m on m.mime_id = p.mime_id
group by mime_string
order by cnt desc
</sql>
</report>
<report reportName="Container Mimes"
reportFilename="mimes/container_mimes.xlsx"
format="xlsx"
includeSql="true">
<sql>
select mime_string, count(1) cnt from
profiles p
join mimes m on m.mime_id = p.mime_id
where is_embedded=false
group by mime_string
order by cnt desc
</sql>
</report>
<report reportName="Embedded Mimes"
reportFilename="mimes/embedded_mimes.xlsx"
format="xlsx"
includeSql="true">
<sql>
select mime_string, count(1) cnt from
profiles p
join mimes m on m.mime_id = p.mime_id
where is_embedded=true
group by mime_string
order by cnt desc
</sql>
</report>
<!-- content -->
<report reportName="Common Tokens by Lang"
reportFilename="content/common_tokens_by_lang.xlsx"
format="xlsx"
includeSql="true">
<sql>
select common_tokens_lang, sum(num_common_tokens) as cnt
from contents
group by common_tokens_lang
order by cnt desc;
</sql>
</report>
<report reportName="Detected Languages"
reportFilename="content/detected_langs.xlsx"
format="xlsx"
includeSql="true">
<sql>
select LANG_ID_1 as DetectedLang, count(1) as cnt
from contents
group by LANG_ID_1
order by cnt desc
</sql>
</report>
<report reportName="Token Count by Detected Language"
reportFilename="content/num_tokens_by_detected_langs.xlsx"
format="xlsx"
includeSql="true">
<sql>
select LANG_ID_1 as DetectedLang, sum(num_tokens) as cnt
from contents
group by LANG_ID_1
order by cnt desc;
</sql>
</report>
<report reportName="Common Tokens Divided by Alphabetic Tokens"
reportFilename="content/common_tokens_div_alphabetic_exclude_media_and_zips.xlsx"
format="xlsx"
includeSql="true">
<!-- 0.50 is a complete heuristic -->
<sql>
select file_path, file_name, is_embedded,
mime_string, lang_id_1, common_tokens_lang,
num_tokens, num_alphabetic_tokens, num_common_tokens,
case
when num_alphabetic_tokens > 0
then cast(num_common_tokens as decimal)/cast(num_alphabetic_tokens as decimal)
else 0
end as common_div_alphabetic
from contents c
join profiles p on p.id=c.id
join containers ct on ct.container_id=p.container_id
join mimes m on p.mime_id=m.mime_id
where
(num_alphabetic_tokens = 0
or cast(num_common_tokens as decimal)/cast(num_alphabetic_tokens as decimal) < 0.50
)
and mime_string not like 'image%'
and mime_string not like 'video%'
and mime_string not like 'audio%'
and mime_string not like 'application/zip'
order by common_div_alphabetic asc
limit 10000
</sql>
</report>
<!-- MSWord files do not usually store actual # of pages; rather, they store 1 or 0,
and the actual number is calculated dynamically by the
application when the file is loaded. This will lead to some crazily high
tokens/page counts for MSWord files, but the focus of this query is on the low end.
-->
<report reportName="Tokens Per Page"
reportFilename="content/tokens_per_page_in_container_files.xlsx"
format="xlsx"
includeSql="true">
<sql>
select file_path, mime_string, num_tokens,
num_pages,
case
when num_tokens = 0
then 0
else
cast(num_tokens as decimal)/cast(num_pages as decimal)
end as num_tokens_div_num_pages
from profiles p
left join contents c on p.id=c.id
join mimes m on p.mime_id = m.mime_id
join containers ct on p.container_id=ct.container_id
where num_pages is not null and num_pages > 0
and is_embedded=false
order by num_tokens_div_num_pages asc
limit 1000
</sql>
</report>
<report reportName="Exceptions by Type"
reportFilename="exceptions/exceptions_by_type.xlsx"
format="xlsx"
includeSql="true">
<sql>
select parse_exception_description, count(1) cnt
from parse_exceptions e
join profiles p on p.id = e.id
join ref_parse_exception_types et on et.parse_exception_id=e.parse_exception_id
group by parse_exception_description
order by cnt desc;
</sql>
</report>
<report reportName="Embedded Exceptions by Type"
reportFilename="exceptions/exceptions_by_type_embedded.xlsx"
format="xlsx"
includeSql="true">
<sql>
select parse_exception_description, count(1) cnt
from parse_exceptions e
join profiles p on p.id = e.id
join ref_parse_exception_types et on et.parse_exception_id=e.parse_exception_id
where is_embedded=true
group by parse_exception_description
order by cnt desc;
</sql>
</report>
<report reportName="AllExceptionsByMimeByType"
reportFilename="exceptions/exceptions_by_mime_by_type.xlsx"
format="xlsx"
includeSql="true">
<sql>
select mime_string as MIME_TYPE,
parse_exception_description as EXCEPTION_TYPE, count(1) as COUNT
from parse_exceptions e
join profiles p on p.id=e.id
join containers c on p.container_id=c.container_id
join mimes m on m.mime_id=p.mime_id
join ref_parse_exception_types r on
r.parse_exception_id=e.parse_exception_id
group by p.mime_id, parse_exception_description
order by MIME_TYPE, EXCEPTION_TYPE
</sql>
</report>
<report reportName="StackTracesByMime"
reportFilename="exceptions/stack_traces_by_mime.xlsx"
format="xlsx"
includeSql="true">
<sql>
select MIME_STRING as MIME_TYPE, e.sort_stack_trace, count(1) as
COUNT
from parse_exceptions e
join profiles p on p.id=e.id
join mimes m on m.mime_id=p.mime_id
and e.parse_exception_id=0
group by MIME_TYPE, e.sort_stack_trace
order by MIME_TYPE asc, COUNT desc
</sql>
</report>
<report reportName="AllStackTraces"
reportFilename="exceptions/stack_traces_details.xlsx"
format="xlsx"
includeSql="true">
<sql>
select file_path,
file_name, is_embedded,
c.length as CONTAINER_LENGTH,
mime_string as MIME_TYPE,
orig_stack_trace, sort_stack_trace
from parse_exceptions e
join profiles p on p.id=e.id
join containers c on p.container_id=c.container_id
join mimes m on m.mime_id=p.mime_id
and e.parse_exception_id=0
order by MIME_TYPE asc, sort_stack_trace, orig_stack_trace,
CONTAINER_LENGTH asc
</sql>
</report>
<report reportName="TagExceptionsByMime"
reportFilename="tags/tag_exceptions_by_mime.xlsx"
format="xlsx"
includeSql="true">
<sql>
select mime_string, count(1) as CNT
from tags t
join profiles p on p.id=t.id
join mimes m on p.mime_id=m.mime_id
where tags_parse_exception=TRUE
group by mime_string
order by CNT desc
</sql>
</report>
<report reportName="Tag Exceptions Details"
reportFilename="tags/tag_exceptions_details.xlsx"
format="xlsx"
includeSql="true">
<sql>
select c.file_path,p.file_name,mime_string,is_embedded from
tags t
join profiles p on t.id=p.id
join containers c on p.container_id=c.container_id
join mimes m on p.mime_id=m.mime_id
where t.tags_parse_exception=true
order by m.mime_string
limit 20000
</sql>
</report>
<report reportName="Tags by Mime"
reportFilename="tags/tags_by_mime.xlsx"
format="xlsx"
includeSql="true">
<sql>
select mime_string,
sum(tags_a) as tags_a,
sum(tags_b) as tags_b,
sum(tags_div) as tags_div,
sum(tags_i) as tags_i,
sum(tags_img) as tags_img,
sum(tags_li) as tags_li,
sum(tags_ol) as tags_ol,
sum(tags_p) as tags_p,
sum(tags_table) as tags_table,
sum(tags_td) as tags_td,
sum(tags_title) as tags_title,
sum(tags_tr) as tags_tr,
sum(tags_u) as tags_u,
sum(tags_ul) as tags_ul
from tags t
join profiles p on t.id=p.id
join mimes m on p.mime_id=m.mime_id
where tags_parse_exception=false
group by m.mime_id
</sql>
</report>
<after>
<!--<sql>drop index on x</sql>
-->
</after>
</reports>
