# event_analyzing_sample.py: general event handler in python
# SPDX-License-Identifier: GPL-2.0
#
# Current perf report is already very powerful with the annotation integrated,
# and this script is not trying to be as powerful as perf report, but
# providing end user/developer a flexible way to analyze the events other
# than trace points.
#
# The 2 database related functions in this script just show how to gather
# the basic information, and users can modify and write their own functions
# according to their specific requirement.
#
# The first function "show_general_events" just does a basic grouping for all
# generic events with the help of sqlite, and the 2nd one "show_pebs_ll" is
# for a x86 HW PMU event: PEBS with load latency data.
#

import os
import sys
import math
import struct
import sqlite3

sys.path.append(os.environ['PERF_EXEC_PATH'] + \
        '/scripts/python/Perf-Trace-Util/lib/Perf/Trace')

from perf_trace_context import *
from EventClass import *

#
# If the perf.data has a big number of samples, then the insert operation
# will be very time consuming (about 10+ minutes for 10000 samples) if the
# .db database is on disk. Move the .db file to RAM based FS to speedup
# the handling, which will cut the time down to several seconds.
#
con = sqlite3.connect("/dev/shm/perf.db")
con.isolation_level = None

def trace_begin():
	print "In trace_begin:\n"

        #
        # Will create several tables at the start, pebs_ll is for PEBS data with
        # load latency info, while gen_events is for general event.
        #
        con.execute("""
                create table if not exists gen_events (
                        name text,
                        symbol text,
                        comm text,
                        dso text
                );""")
        con.execute("""
                create table if not exists pebs_ll (
                        name text,
                        symbol text,
                        comm text,
                        dso text,
                        flags integer,
                        ip integer,
                        status integer,
                        dse integer,
                        dla integer,
                        lat integer
                );""")

#
# Create and insert event object to a database so that user could
# do more analysis with simple database commands.
#
def process_event(param_dict):
        event_attr = param_dict["attr"]
        sample     = param_dict["sample"]
        raw_buf    = param_dict["raw_buf"]
        comm       = param_dict["comm"]
        name       = param_dict["ev_name"]

        # Symbol and dso info are not always resolved
        if (param_dict.has_key("dso")):
                dso = param_dict["dso"]
        else:
                dso = "Unknown_dso"

        if (param_dict.has_key("symbol")):
                symbol = param_dict["symbol"]
        else:
                symbol = "Unknown_symbol"

        # Create the event object and insert it to the right table in database
        event = create_event(name, comm, dso, symbol, raw_buf)
        insert_db(event)

def insert_db(event):
        if event.ev_type == EVTYPE_GENERIC:
                con.execute("insert into gen_events values(?, ?, ?, ?)",
                                (event.name, event.symbol, event.comm, event.dso))
        elif event.ev_type == EVTYPE_PEBS_LL:
                event.ip &= 0x7fffffffffffffff
                event.dla &= 0x7fffffffffffffff
                con.execute("insert into pebs_ll values (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)",
                        (event.name, event.symbol, event.comm, event.dso, event.flags,
                                event.ip, event.status, event.dse, event.dla, event.lat))

def trace_end():
	print "In trace_end:\n"
        # We show the basic info for the 2 type of event classes
        show_general_events()
        show_pebs_ll()
        con.close()

#
# As the event number may be very big, so we can't use linear way
# to show the histogram in real number, but use a log2 algorithm.
#

def num2sym(num):
        # Each number will have at least one '#'
        snum = '#' * (int)(math.log(num, 2) + 1)
        return snum

def show_general_events():

        # Check the total record number in the table
        count = con.execute("select count(*) from gen_events")
        for t in count:
                print "There is %d records in gen_events table" % t[0]
                if t[0] == 0:
                        return

        print "Statistics about the general events grouped by thread/symbol/dso: \n"

         # Group by thread
        commq = con.execute("select comm, count(comm) from gen_events group by comm order by -count(comm)")
        print "\n%16s %8s %16s\n%s" % ("comm", "number", "histogram", "="*42)
        for row in commq:
             print "%16s %8d     %s" % (row[0], row[1], num2sym(row[1]))

        # Group by symbol
        print "\n%32s %8s %16s\n%s" % ("symbol", "number", "histogram", "="*58)
        symbolq = con.execute("select symbol, count(symbol) from gen_events group by symbol order by -count(symbol)")
        for row in symbolq:
             print "%32s %8d     %s" % (row[0], row[1], num2sym(row[1]))

        # Group by dso
        print "\n%40s %8s %16s\n%s" % ("dso", "number", "histogram", "="*74)
        dsoq = con.execute("select dso, count(dso) from gen_events group by dso order by -count(dso)")
        for row in dsoq:
             print "%40s %8d     %s" % (row[0], row[1], num2sym(row[1]))

#
# This function just shows the basic info, and we could do more with the
# data in the tables, like checking the function parameters when some
# big latency events happen.
#
def show_pebs_ll():

        count = con.execute("select count(*) from pebs_ll")
        for t in count:
                print "There is %d records in pebs_ll table" % t[0]
                if t[0] == 0:
                        return

        print "Statistics about the PEBS Load Latency events grouped by thread/symbol/dse/latency: \n"

        # Group by thread
        commq = con.execute("select comm, count(comm) from pebs_ll group by comm order by -count(comm)")
        print "\n%16s %8s %16s\n%s" % ("comm", "number", "histogram", "="*42)
        for row in commq:
             print "%16s %8d     %s" % (row[0], row[1], num2sym(row[1]))

        # Group by symbol
        print "\n%32s %8s %16s\n%s" % ("symbol", "number", "histogram", "="*58)
        symbolq = con.execute("select symbol, count(symbol) from pebs_ll group by symbol order by -count(symbol)")
        for row in symbolq:
             print "%32s %8d     %s" % (row[0], row[1], num2sym(row[1]))

        # Group by dse
        dseq = con.execute("select dse, count(dse) from pebs_ll group by dse order by -count(dse)")
        print "\n%32s %8s %16s\n%s" % ("dse", "number", "histogram", "="*58)
        for row in dseq:
             print "%32s %8d     %s" % (row[0], row[1], num2sym(row[1]))

        # Group by latency
        latq = con.execute("select lat, count(lat) from pebs_ll group by lat order by lat")
        print "\n%32s %8s %16s\n%s" % ("latency", "number", "histogram", "="*58)
        for row in latq:
             print "%32s %8d     %s" % (row[0], row[1], num2sym(row[1]))

def trace_unhandled(event_name, context, event_fields_dict):
		print ' '.join(['%s=%s'%(k,str(v))for k,v in sorted(event_fields_dict.items())])
get' action='/distro/kernel/log/lib/bcd.c'>
<input type='hidden' name='id' value='f940c9b7aef65b20456dc709bab3056a79550a01'/><select name='qt'>
<option value='grep'>log msg</option>
<option value='author'>author</option>
<option value='committer'>committer</option>
<option value='range'>range</option>
</select>
<input class='txt' type='search' size='10' name='q' value=''/>
<input type='submit' value='search'/>
</form>
</td></tr></table>
<div class='path'>path: <a href='/distro/kernel/log/?id=f940c9b7aef65b20456dc709bab3056a79550a01'>root</a>/<a href='/distro/kernel/log/lib?id=f940c9b7aef65b20456dc709bab3056a79550a01'>lib</a>/<a href='/distro/kernel/log/lib/bcd.c?id=f940c9b7aef65b20456dc709bab3056a79550a01'>bcd.c</a></div><div class='content'><table class='list nowrap'><tr class='nohover'><th class='left'>Age</th><th class='left'>Commit message (<a href='/distro/kernel/log/lib/bcd.c?id=f940c9b7aef65b20456dc709bab3056a79550a01&amp;showmsg=1'>Expand</a>)</th><th class='left'>Author</th></tr>
<tr><td><span title='2024-09-01 20:43:33 -0700'>2024-09-01</span></td><td><a href='/distro/kernel/commit/lib/bcd.c?id=cbf164cd44e06c78938b4a4a4479d3541779c319'>lib/bcd: optimize _bin2bcd() for improved performance</a></td><td>Kuan-Wei Chiu</td></tr>
<tr><td><span title='2017-11-02 11:10:55 +0100'>2017-11-02</span></td><td><a href='/distro/kernel/commit/lib/bcd.c?id=b24413180f5600bcb3bb70fbed5cf186b60864bd'>License cleanup: add SPDX GPL-2.0 license identifier to files with no license</a></td><td>Greg Kroah-Hartman</td></tr>
ass='content'><table class='list nowrap'><tr class='nohover'><th class='left'>Age</th><th class='left'>Commit message (<a href='/distro/kernel/log/arch/riscv/crypto/aes-riscv64-glue.c?h=master&amp;id=3ce4b1f1f24bbd9f1c349ecb6641dfa038bd0b5a'>Collapse</a>)</th><th class='left'>Author</th></tr>
<tr class='logheader'><td><span title='2024-03-20 08:56:11 -0700'>2024-03-20</span></td><td class='logsubject'><a href='/distro/kernel/commit/arch/riscv/crypto/aes-riscv64-glue.c?h=master&amp;id=c70dfa4a2723ff5046fdc6d8a054713483f64f1b'>crypto: riscv - add vector crypto accelerated AES-CBC-CTS</a></td><td>Eric Biggers</td></tr>
<tr class='nohover-highlight'><td/><td colspan='3' class='logmsg'>
Add an implementation of cts(cbc(aes)) accelerated using the Zvkned
RISC-V vector crypto extension.  This is mainly useful for fscrypt,
where cts(cbc(aes)) is the "default" filenames encryption algorithm.  In
that use case, typically most messages are short and are block-aligned.
The CBC-CTS variant implemented is CS3; this is the variant Linux uses.

To perform well on short messages, the new implementation processes the
full message in one call to the assembly function if the data is
contiguous.  Otherwise it falls back to CBC operations followed by CTS
at the end.  For decryption, to further improve performance on short
messages, especially block-aligned messages, the CBC-CTS assembly
function parallelizes the AES decryption of all full blocks.  This
improves on the arm64 implementation of cts(cbc(aes)), which always
splits the CBC part(s) from the CTS part, doing the AES decryptions for
the last two blocks serially and usually loading the round keys twice.

Tested in QEMU with CONFIG_CRYPTO_MANAGER_EXTRA_TESTS=y.

Signed-off-by: Eric Biggers &lt;ebiggers@google.com&gt;
Link: https://lore.kernel.org/r/20240213055442.35954-1-ebiggers@kernel.org
Signed-off-by: Palmer Dabbelt &lt;palmer@rivosinc.com&gt;


</td></tr>
<tr class='logheader'><td><span title='2024-01-22 17:55:18 -0800'>2024-01-22</span></td><td class='logsubject'><a href='/distro/kernel/commit/arch/riscv/crypto/aes-riscv64-glue.c?h=master&amp;id=eb24af5d7a05bbcdebb0398f91af990719644093'>crypto: riscv - add vector crypto accelerated AES-{ECB,CBC,CTR,XTS}</a></td><td>Jerry Shih</td></tr>
<tr class='nohover-highlight'><td/><td colspan='3' class='logmsg'>
Add implementations of AES-ECB, AES-CBC, AES-CTR, and AES-XTS, as well
as bare (single-block) AES, using the RISC-V vector crypto extensions.
The assembly code is derived from OpenSSL code (openssl/openssl#21923)
that was dual-licensed so that it could be reused in the kernel.
Nevertheless, the assembly has been significantly reworked for
integration with the kernel, for example by using regular .S files
instead of the so-called perlasm, using the assembler instead of bare
'.inst', greatly reducing code duplication, supporting AES-192, and
making the code use the same AES key structure as the C code.

Co-developed-by: Phoebe Chen &lt;phoebe.chen@sifive.com&gt;
Signed-off-by: Phoebe Chen &lt;phoebe.chen@sifive.com&gt;
Signed-off-by: Jerry Shih &lt;jerry.shih@sifive.com&gt;
Co-developed-by: Eric Biggers &lt;ebiggers@google.com&gt;
Signed-off-by: Eric Biggers &lt;ebiggers@google.com&gt;
Link: https://lore.kernel.org/r/20240122002024.27477-5-ebiggers@kernel.org
Signed-off-by: Palmer Dabbelt &lt;palmer@rivosinc.com&gt;


</td></tr>