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Posted to commits@datafusion.apache.org by gi...@apache.org on 2026/08/21 15:46:39 UTC
(datafusion) branch asf-site updated: Publish built docs triggered by a6e2d3f7a43b8007817889875b662fa0463468c7
This is an automated email from the ASF dual-hosted git repository.
github-actions[bot] pushed a commit to branch asf-site
in repository https://gitbox.apache.org/repos/asf/datafusion.git
The following commit(s) were added to refs/heads/asf-site by this push:
new c1c9cf4cbd Publish built docs triggered by a6e2d3f7a43b8007817889875b662fa0463468c7
c1c9cf4cbd is described below
commit c1c9cf4cbdf89ac5267074882e8a604cd09389fa
Author: github-actions[bot] <gi...@users.noreply.github.com>
AuthorDate: Fri Aug 21 15:46:34 2026 +0000
Publish built docs triggered by a6e2d3f7a43b8007817889875b662fa0463468c7
---
_sources/user-guide/explain-usage.md.txt | 1 +
searchindex.js | 2 +-
user-guide/explain-usage.html | 1 +
3 files changed, 3 insertions(+), 1 deletion(-)
diff --git a/_sources/user-guide/explain-usage.md.txt b/_sources/user-guide/explain-usage.md.txt
index bc9dace297..43ea6caac3 100644
--- a/_sources/user-guide/explain-usage.md.txt
+++ b/_sources/user-guide/explain-usage.md.txt
@@ -207,6 +207,7 @@ Again, reading from bottom up:
- `DataSourceExec`
- `output_rows=99997497`: A total 99.9M rows were produced
- `bytes_scanned=3703192723`: Of the 14GB file, 3.7GB were actually read (due to projection pushdown)
+ - `bytes_processed=14779976446`: All 14GB were accounted for: the 3.7GB read, plus the bytes of row groups that pruning ruled out. Comparing this against the total size of the files in the plan tells you how far along a scan is
- `time_elapsed_opening=308.203002ms`: It took 300ms to open the file and prepare to read it
- `time_elapsed_scanning_total=8.350342183s`: It took 8.3 seconds of CPU time (across 16 cores) to actually decode the parquet data
- `FilterExec`
diff --git a/searchindex.js b/searchindex.js
index 71b8876446..21e141006c 100644
--- a/searchindex.js
+++ b/searchindex.js
@@ -1 +1 @@
-Search.setIndex({"alltitles":{"!=":[[76,"op-neq"]],"!~":[[76,"op-re-not-match"]],"!~*":[[76,"op-re-not-match-i"]],"!~~":[[76,"id19"]],"!~~*":[[76,"id20"]],"#":[[76,"op-bit-xor"]],"%":[[76,"op-modulo"]],"&":[[76,"op-bit-and"]],"(relation, name) tuples in logical fields and logical columns are unique":[[16,"relation-name-tuples-in-logical-fields-and-logical-columns-are-unique"]],"*":[[76,"op-multiply"]],"+":[[76,"op-plus"]],"-":[[76,"op-minus"]],"/":[[76,"op-divide"]],"1. Array Literal Con [...]
\ No newline at end of file
+Search.setIndex({"alltitles":{"!=":[[76,"op-neq"]],"!~":[[76,"op-re-not-match"]],"!~*":[[76,"op-re-not-match-i"]],"!~~":[[76,"id19"]],"!~~*":[[76,"id20"]],"#":[[76,"op-bit-xor"]],"%":[[76,"op-modulo"]],"&":[[76,"op-bit-and"]],"(relation, name) tuples in logical fields and logical columns are unique":[[16,"relation-name-tuples-in-logical-fields-and-logical-columns-are-unique"]],"*":[[76,"op-multiply"]],"+":[[76,"op-plus"]],"-":[[76,"op-minus"]],"/":[[76,"op-divide"]],"1. Array Literal Con [...]
\ No newline at end of file
diff --git a/user-guide/explain-usage.html b/user-guide/explain-usage.html
index a112752c14..75fde31f38 100644
--- a/user-guide/explain-usage.html
+++ b/user-guide/explain-usage.html
@@ -620,6 +620,7 @@ by all 16 cores.</p>
<ul>
<li><p><code class="docutils literal notranslate"><span class="pre">output_rows=99997497</span></code>: A total 99.9M rows were produced</p></li>
<li><p><code class="docutils literal notranslate"><span class="pre">bytes_scanned=3703192723</span></code>: Of the 14GB file, 3.7GB were actually read (due to projection pushdown)</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">bytes_processed=14779976446</span></code>: All 14GB were accounted for: the 3.7GB read, plus the bytes of row groups that pruning ruled out. Comparing this against the total size of the files in the plan tells you how far along a scan is</p></li>
<li><p><code class="docutils literal notranslate"><span class="pre">time_elapsed_opening=308.203002ms</span></code>: It took 300ms to open the file and prepare to read it</p></li>
<li><p><code class="docutils literal notranslate"><span class="pre">time_elapsed_scanning_total=8.350342183s</span></code>: It took 8.3 seconds of CPU time (across 16 cores) to actually decode the parquet data</p></li>
</ul>
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