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authorAdrian Hunter <adrian.hunter@intel.com>2018-10-01 09:28:46 +0300
committerArnaldo Carvalho de Melo <acme@redhat.com>2018-10-23 14:26:44 -0300
commit031c2a004ba75a4f8f2a6d0a7ca6f2fe5912de22 (patch)
treee8795e96609efbad3bf294a4d4d270a47778f0b7 /tools/perf/Documentation
parent341e73cbd3019d350d1271803b45d84af88f2408 (diff)
perf scripts python: call-graph-from-sql.py: Rename to exported-sql-viewer.py
Additional reports will be added to the script so rename to reflect the more general purpose. Signed-off-by: Adrian Hunter <adrian.hunter@intel.com> Cc: Andi Kleen <ak@linux.intel.com> Cc: Jiri Olsa <jolsa@redhat.com> Link: http://lkml.kernel.org/r/20181001062853.28285-13-adrian.hunter@intel.com Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
Diffstat (limited to 'tools/perf/Documentation')
-rw-r--r--tools/perf/Documentation/intel-pt.txt2
1 files changed, 1 insertions, 1 deletions
diff --git a/tools/perf/Documentation/intel-pt.txt b/tools/perf/Documentation/intel-pt.txt
index 76971d2e4164..115eaacc455f 100644
--- a/tools/perf/Documentation/intel-pt.txt
+++ b/tools/perf/Documentation/intel-pt.txt
@@ -106,7 +106,7 @@ in transaction, respectively.
While it is possible to create scripts to analyze the data, an alternative
approach is available to export the data to a sqlite or postgresql database.
Refer to script export-to-sqlite.py or export-to-postgresql.py for more details,
-and to script call-graph-from-sql.py for an example of using the database.
+and to script exported-sql-viewer.py for an example of using the database.
There is also script intel-pt-events.py which provides an example of how to
unpack the raw data for power events and PTWRITE.