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perf scripts python: exported-sql-viewer.py: Add call tree
Add a new report to display a call tree. The Call Tree report is very
similar to the Context-Sensitive Call Graph, but the data is not
aggregated. Also the 'Count' column, which would be always 1, is replaced
by the 'Call Time'.
Committer testing:
$ cat simple-retpoline.c
/*
https://lkml.kernel.org/r/20190109091835.5570-6-adrian.hunter@intel.com
$ gcc -ggdb3 -Wall -Wextra -O2 -o simple-retpoline simple-retpoline.c
$ objdump -d simple-retpoline
*/
__attribute__((noinline)) int bar(void)
{
return -1;
}
int foo(void)
{
return bar() + 1;
}
__attribute__((indirect_branch("thunk"))) int main()
{
int (*volatile fn)(void) = foo;
fn();
return fn();
}
$
$ perf record -o simple-retpoline.perf.data -e intel_pt/cyc/u ./simple-retpoline
$ perf script -i simple-retpoline.perf.data --itrace=be -s ~acme/libexec/perf-core/scripts/python/export-to-sqlite.py simple-retpoline.db branches calls
$ python ~acme/libexec/perf-core/scripts/python/exported-sql-viewer.py simple-retpoline.db
And in the GUI select:
"Reports"
"Call Tree"
Call Path | Object | Call Time (ns) | Time (ns) | Time (%) | Branch Count | Brach Count (%) |
> simple-retpolin
> PID:TID
> _start ld-2.28.so 2193855505777 156267 100.0 10602 100.0
unknown unknown 2193855506010 2276 1.5 1 0.0
> _dl_start ld-2.28.so 2193855508286 137047 87.7 10088 95.2
> _dl_init ld-2.28.so 2193855645444 9142 5.9 326 3.1
> _start simple-retpoline 2193855654587 7457 4.8 182 1.7
> __libc_start_main <SNIP>
<SNIP>
> main simple-retpoline 2193855657493 32 0.5 12 6.7
> foo simple-retpoline 2193855657493 14 43.8 5 41.7
<SNIP>
Signed-off-by: Adrian Hunter <adrian.hunter@intel.com>
Tested-by: Arnaldo Carvalho de Melo <acme@redhat.com>
Cc: Jiri Olsa <jolsa@redhat.com>
Link: https://lkml.kernel.org/n/tip-enf0w96gqzfpv4fi16pw9ovc@git.kernel.org
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
This commit is contained in:
Adrian Hunter
Arnaldo Carvalho de Melo
parent
254c0d820b
commit
ae8b887c00
@ -688,6 +688,150 @@ class CallGraphModel(CallGraphModelBase):
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ids.insert(0, query.value(1))
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return ids
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# Call tree data model level 2+ item base
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class CallTreeLevelTwoPlusItemBase(CallGraphLevelItemBase):
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def __init__(self, glb, row, comm_id, thread_id, calls_id, time, branch_count, parent_item):
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super(CallTreeLevelTwoPlusItemBase, self).__init__(glb, row, parent_item)
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self.comm_id = comm_id
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self.thread_id = thread_id
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self.calls_id = calls_id
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self.branch_count = branch_count
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self.time = time
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def Select(self):
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self.query_done = True;
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if self.calls_id == 0:
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comm_thread = " AND comm_id = " + str(self.comm_id) + " AND thread_id = " + str(self.thread_id)
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else:
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comm_thread = ""
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query = QSqlQuery(self.glb.db)
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QueryExec(query, "SELECT calls.id, name, short_name, call_time, return_time - call_time, branch_count"
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" FROM calls"
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" INNER JOIN call_paths ON calls.call_path_id = call_paths.id"
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" INNER JOIN symbols ON call_paths.symbol_id = symbols.id"
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" INNER JOIN dsos ON symbols.dso_id = dsos.id"
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" WHERE calls.parent_id = " + str(self.calls_id) + comm_thread +
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" ORDER BY call_time, calls.id")
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while query.next():
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child_item = CallTreeLevelThreeItem(self.glb, self.child_count, self.comm_id, self.thread_id, query.value(0), query.value(1), query.value(2), query.value(3), int(query.value(4)), int(query.value(5)), self)
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self.child_items.append(child_item)
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self.child_count += 1
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# Call tree data model level three item
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class CallTreeLevelThreeItem(CallTreeLevelTwoPlusItemBase):
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def __init__(self, glb, row, comm_id, thread_id, calls_id, name, dso, count, time, branch_count, parent_item):
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super(CallTreeLevelThreeItem, self).__init__(glb, row, comm_id, thread_id, calls_id, time, branch_count, parent_item)
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dso = dsoname(dso)
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self.data = [ name, dso, str(count), str(time), PercentToOneDP(time, parent_item.time), str(branch_count), PercentToOneDP(branch_count, parent_item.branch_count) ]
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self.dbid = calls_id
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# Call tree data model level two item
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class CallTreeLevelTwoItem(CallTreeLevelTwoPlusItemBase):
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def __init__(self, glb, row, comm_id, thread_id, pid, tid, parent_item):
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super(CallTreeLevelTwoItem, self).__init__(glb, row, comm_id, thread_id, 0, 0, 0, parent_item)
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self.data = [str(pid) + ":" + str(tid), "", "", "", "", "", ""]
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self.dbid = thread_id
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def Select(self):
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super(CallTreeLevelTwoItem, self).Select()
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for child_item in self.child_items:
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self.time += child_item.time
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self.branch_count += child_item.branch_count
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for child_item in self.child_items:
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child_item.data[4] = PercentToOneDP(child_item.time, self.time)
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child_item.data[6] = PercentToOneDP(child_item.branch_count, self.branch_count)
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# Call tree data model level one item
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class CallTreeLevelOneItem(CallGraphLevelItemBase):
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def __init__(self, glb, row, comm_id, comm, parent_item):
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super(CallTreeLevelOneItem, self).__init__(glb, row, parent_item)
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self.data = [comm, "", "", "", "", "", ""]
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self.dbid = comm_id
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def Select(self):
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self.query_done = True;
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query = QSqlQuery(self.glb.db)
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QueryExec(query, "SELECT thread_id, pid, tid"
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" FROM comm_threads"
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" INNER JOIN threads ON thread_id = threads.id"
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" WHERE comm_id = " + str(self.dbid))
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while query.next():
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child_item = CallTreeLevelTwoItem(self.glb, self.child_count, self.dbid, query.value(0), query.value(1), query.value(2), self)
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self.child_items.append(child_item)
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self.child_count += 1
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# Call tree data model root item
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class CallTreeRootItem(CallGraphLevelItemBase):
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def __init__(self, glb):
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super(CallTreeRootItem, self).__init__(glb, 0, None)
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self.dbid = 0
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self.query_done = True;
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query = QSqlQuery(glb.db)
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QueryExec(query, "SELECT id, comm FROM comms")
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while query.next():
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if not query.value(0):
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continue
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child_item = CallTreeLevelOneItem(glb, self.child_count, query.value(0), query.value(1), self)
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self.child_items.append(child_item)
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self.child_count += 1
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# Call Tree data model
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class CallTreeModel(CallGraphModelBase):
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def __init__(self, glb, parent=None):
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super(CallTreeModel, self).__init__(glb, parent)
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def GetRoot(self):
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return CallTreeRootItem(self.glb)
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def columnCount(self, parent=None):
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return 7
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def columnHeader(self, column):
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headers = ["Call Path", "Object", "Call Time", "Time (ns) ", "Time (%) ", "Branch Count ", "Branch Count (%) "]
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return headers[column]
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def columnAlignment(self, column):
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alignment = [ Qt.AlignLeft, Qt.AlignLeft, Qt.AlignRight, Qt.AlignRight, Qt.AlignRight, Qt.AlignRight, Qt.AlignRight ]
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return alignment[column]
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def DoFindSelect(self, query, match):
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QueryExec(query, "SELECT calls.id, comm_id, thread_id"
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" FROM calls"
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" INNER JOIN call_paths ON calls.call_path_id = call_paths.id"
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" INNER JOIN symbols ON call_paths.symbol_id = symbols.id"
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" WHERE symbols.name" + match +
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" ORDER BY comm_id, thread_id, call_time, calls.id")
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def FindPath(self, query):
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# Turn the query result into a list of ids that the tree view can walk
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# to open the tree at the right place.
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ids = []
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parent_id = query.value(0)
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while parent_id:
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ids.insert(0, parent_id)
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q2 = QSqlQuery(self.glb.db)
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QueryExec(q2, "SELECT parent_id"
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" FROM calls"
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" WHERE id = " + str(parent_id))
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if not q2.next():
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break
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parent_id = q2.value(0)
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ids.insert(0, query.value(2))
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ids.insert(0, query.value(1))
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return ids
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# Vertical widget layout
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class VBox():
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@ -772,6 +916,29 @@ class CallGraphWindow(TreeWindowBase):
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AddSubWindow(glb.mainwindow.mdi_area, self, "Context-Sensitive Call Graph")
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# Call tree window
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class CallTreeWindow(TreeWindowBase):
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def __init__(self, glb, parent=None):
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super(CallTreeWindow, self).__init__(parent)
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self.model = LookupCreateModel("Call Tree", lambda x=glb: CallTreeModel(x))
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self.view = QTreeView()
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self.view.setModel(self.model)
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for c, w in ((0, 230), (1, 100), (2, 100), (3, 70), (4, 70), (5, 100)):
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self.view.setColumnWidth(c, w)
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self.find_bar = FindBar(self, self)
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self.vbox = VBox(self.view, self.find_bar.Widget())
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self.setWidget(self.vbox.Widget())
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AddSubWindow(glb.mainwindow.mdi_area, self, "Call Tree")
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# Child data item finder
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class ChildDataItemFinder():
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@ -1890,10 +2057,10 @@ def GetEventList(db):
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# Is a table selectable
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def IsSelectable(db, table):
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def IsSelectable(db, table, sql = ""):
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query = QSqlQuery(db)
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try:
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QueryExec(query, "SELECT * FROM " + table + " LIMIT 1")
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QueryExec(query, "SELECT * FROM " + table + " " + sql + " LIMIT 1")
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except:
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return False
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return True
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@ -2302,9 +2469,10 @@ p.c2 {
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</style>
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<p class=c1><a href=#reports>1. Reports</a></p>
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<p class=c2><a href=#callgraph>1.1 Context-Sensitive Call Graph</a></p>
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<p class=c2><a href=#allbranches>1.2 All branches</a></p>
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<p class=c2><a href=#selectedbranches>1.3 Selected branches</a></p>
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<p class=c2><a href=#topcallsbyelapsedtime>1.4 Top calls by elapsed time</a></p>
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<p class=c2><a href=#calltree>1.2 Call Tree</a></p>
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<p class=c2><a href=#allbranches>1.3 All branches</a></p>
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<p class=c2><a href=#selectedbranches>1.4 Selected branches</a></p>
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<p class=c2><a href=#topcallsbyelapsedtime>1.5 Top calls by elapsed time</a></p>
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<p class=c1><a href=#tables>2. Tables</a></p>
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<h1 id=reports>1. Reports</h1>
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<h2 id=callgraph>1.1 Context-Sensitive Call Graph</h2>
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@ -2340,7 +2508,10 @@ v- ls
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<h3>Find</h3>
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Ctrl-F displays a Find bar which finds function names by either an exact match or a pattern match.
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The pattern matching symbols are ? for any character and * for zero or more characters.
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<h2 id=allbranches>1.2 All branches</h2>
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<h2 id=calltree>1.2 Call Tree</h2>
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The Call Tree report is very similar to the Context-Sensitive Call Graph, but the data is not aggregated.
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Also the 'Count' column, which would be always 1, is replaced by the 'Call Time'.
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<h2 id=allbranches>1.3 All branches</h2>
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The All branches report displays all branches in chronological order.
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Not all data is fetched immediately. More records can be fetched using the Fetch bar provided.
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<h3>Disassembly</h3>
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@ -2366,10 +2537,10 @@ sudo ldconfig
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Ctrl-F displays a Find bar which finds substrings by either an exact match or a regular expression match.
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Refer to Python documentation for the regular expression syntax.
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All columns are searched, but only currently fetched rows are searched.
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<h2 id=selectedbranches>1.3 Selected branches</h2>
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<h2 id=selectedbranches>1.4 Selected branches</h2>
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This is the same as the <a href=#allbranches>All branches</a> report but with the data reduced
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by various selection criteria. A dialog box displays available criteria which are AND'ed together.
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<h3>1.3.1 Time ranges</h3>
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<h3>1.4.1 Time ranges</h3>
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The time ranges hint text shows the total time range. Relative time ranges can also be entered in
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ms, us or ns. Also, negative values are relative to the end of trace. Examples:
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<pre>
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@ -2380,7 +2551,7 @@ ms, us or ns. Also, negative values are relative to the end of trace. Examples:
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-10ms- The last 10ms
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</pre>
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N.B. Due to the granularity of timestamps, there could be no branches in any given time range.
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<h2 id=topcallsbyelapsedtime>1.4 Top calls by elapsed time</h2>
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<h2 id=topcallsbyelapsedtime>1.5 Top calls by elapsed time</h2>
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The Top calls by elapsed time report displays calls in descending order of time elapsed between when the function was called and when it returned.
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The data is reduced by various selection criteria. A dialog box displays available criteria which are AND'ed together.
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If not all data is fetched, a Fetch bar is provided. Ctrl-F displays a Find bar.
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@ -2516,6 +2687,9 @@ class MainWindow(QMainWindow):
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if IsSelectable(glb.db, "calls"):
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reports_menu.addAction(CreateAction("Context-Sensitive Call &Graph", "Create a new window containing a context-sensitive call graph", self.NewCallGraph, self))
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if IsSelectable(glb.db, "calls", "WHERE parent_id >= 0"):
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reports_menu.addAction(CreateAction("Call &Tree", "Create a new window containing a call tree", self.NewCallTree, self))
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self.EventMenu(GetEventList(glb.db), reports_menu)
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if IsSelectable(glb.db, "calls"):
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@ -2576,6 +2750,9 @@ class MainWindow(QMainWindow):
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def NewCallGraph(self):
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CallGraphWindow(self.glb, self)
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def NewCallTree(self):
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CallTreeWindow(self.glb, self)
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def NewTopCalls(self):
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dialog = TopCallsDialog(self.glb, self)
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ret = dialog.exec_()
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