From 975e64d7a5f46e53e8927c05a62cb06ad7946be5 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Marek=20Wiewi=C3=B3rka?= <marek.wiewiorka@gmail.com>
Date: Sat, 19 Feb 2022 09:26:28 +0100
Subject: [PATCH] Fixing range join doc

---
 docs/source/benchmarking/benchmarking.rst | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/docs/source/benchmarking/benchmarking.rst b/docs/source/benchmarking/benchmarking.rst
index bc93c033..d1f3bba4 100644
--- a/docs/source/benchmarking/benchmarking.rst
+++ b/docs/source/benchmarking/benchmarking.rst
@@ -170,14 +170,14 @@ For counting reads overlapping predefined feature regions the following SQL quer
 
 .. code-block:: sql
 
-    SELECT targets.contigName,targets.start,targets.end,count(*) FROM reads JOIN targets
+    SELECT targets.contig,targets.pos_start,targets.pos_end,count(*) FROM reads JOIN targets
          ON (targets.contigName=reads.contigName
          AND
-         CAST(reads.end AS INTEGER)>=CAST(targets.start AS INTEGER)
+         CAST(reads.pos_end AS INTEGER)>=CAST(targets.pos_start AS INTEGER)
          AND
-         CAST(reads.start AS INTEGER)<=CAST(targets.end AS INTEGER)
+         CAST(reads.pos_start AS INTEGER)<=CAST(targets.pos_end AS INTEGER)
          )
-         GROUP BY targets.contigName,targets.start,targets.end
+         GROUP BY targets.contig,targets.pos_start,targets.pos_end
 
 Exactly the same query has been used for both single node and cluster tests.