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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>
This commit is contained in:
Adrian Hunter 2018-10-01 09:28:46 +03:00 committed by Arnaldo Carvalho de Melo
parent 341e73cbd3
commit 031c2a004b
4 changed files with 6 additions and 6 deletions
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2
tools/perf/Documentation/intel-pt.txt
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@ -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.

2
tools/perf/scripts/python/export-to-postgresql.py
View File

@ -59,7 +59,7 @@ import datetime
# pt_example=# \q
#
# An example of using the database is provided by the script
# call-graph-from-sql.py. Refer to that script for details.
# exported-sql-viewer.py. Refer to that script for details.
#
# Tables:
#

2
tools/perf/scripts/python/export-to-sqlite.py
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@ -40,7 +40,7 @@ import datetime
# sqlite> .quit
#
# An example of using the database is provided by the script
# call-graph-from-sql.py. Refer to that script for details.
# exported-sql-viewer.py. Refer to that script for details.
#
# The database structure is practically the same as created by the script
# export-to-postgresql.py. Refer to that script for details. A notable

6
tools/perf/scripts/python/call-graph-from-sql.py → tools/perf/scripts/python/exported-sql-viewer.py Normal file → Executable file
View File

@ -10,12 +10,12 @@
# Following on from the example in the export scripts, a
# call-graph can be displayed for the pt_example database like this:
#
# python tools/perf/scripts/python/call-graph-from-sql.py pt_example
# python tools/perf/scripts/python/exported-sql-viewer.py pt_example
#
# Note that for PostgreSQL, this script supports connecting to remote databases
# by setting hostname, port, username, password, and dbname e.g.
#
# python tools/perf/scripts/python/call-graph-from-sql.py "hostname=myhost username=myuser password=mypassword dbname=pt_example"
# python tools/perf/scripts/python/exported-sql-viewer.py "hostname=myhost username=myuser password=mypassword dbname=pt_example"
#
# The result is a GUI window with a tree representing a context-sensitive
# call-graph. Expanding a couple of levels of the tree and adjusting column
@ -365,7 +365,7 @@ class DBRef():
def Main():
if (len(sys.argv) < 2):
print >> sys.stderr, "Usage is: call-graph-from-sql.py <database name>"
print >> sys.stderr, "Usage is: exported-sql-viewer.py <database name>"
raise Exception("Too few arguments")
dbname = sys.argv[1]