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authorAdrian Hunter2017-08-03 10:31:29 +0200
committerArnaldo Carvalho de Melo2017-08-15 21:38:06 +0200
commit69e6e410f1a1e69cb656e8ebddaae0ba2138b235 (patch)
tree56c4a9d1437c7432e9f20c6ca932ace2d9dd6526 /tools/perf/Documentation
parentperf script python: Add support for exporting to sqlite3 (diff)
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perf script python: Rename call-graph-from-postgresql.py to call-graph-from-sql.py
Rename call-graph-from-postgresql.py to call-graph-from-sql.py in preparation for adding support to it for SQLite 3. Signed-off-by: Adrian Hunter <adrian.hunter@intel.com> Link: http://lkml.kernel.org/r/1501749090-20357-5-git-send-email-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 8e8ae3ad4cbf..ab1b0825130a 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-postgresql.py for an example of using the database.
+and to script call-graph-from-sql.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.