From 1d371a427faaf5c6ed066d7592dc0fa912400669 Mon Sep 17 00:00:00 2001 From: Andrew Banchich Date: Tue, 8 Jan 2019 04:22:50 -0500 Subject: [PATCH] =?UTF-8?q?[Docs]=C2=A0Fix=20wrong=20math=20in=20overview.?= =?UTF-8?q?asciidoc=20(#37209)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- docs/reference/rollup/overview.asciidoc | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/reference/rollup/overview.asciidoc b/docs/reference/rollup/overview.asciidoc index b2570f647e7..90c5e20a850 100644 --- a/docs/reference/rollup/overview.asciidoc +++ b/docs/reference/rollup/overview.asciidoc @@ -6,7 +6,7 @@ experimental[] Time-based data (documents that are predominantly identified by their timestamp) often have associated retention policies -to manage data growth. For example, your system may be generating 500,000 documents every second. That will generate +to manage data growth. For example, your system may be generating 500 documents every second. That will generate 43 million documents per day, and nearly 16 billion documents a year. While your analysts and data scientists may wish you stored that data indefinitely for analysis, time is never-ending and