Lua Tools for BCC ----------------- This directory contains Lua tooling for [BCC][bcc] (the BPF Compiler Collection). BCC is a toolkit for creating userspace and kernel tracing programs. By default, it comes with a library `libbcc`, some example tooling and a Python frontend for the library. Here we present an alternate frontend for `libbcc` implemented in LuaJIT. This lets you write the userspace part of your tracer in Lua instead of Python. Since LuaJIT is a JIT compiled language, tracers implemented in `bcc-lua` exhibit significantly reduced overhead compared to their Python equivalents. This is particularly noticeable in tracers that actively use the table APIs to get information from the kernel. If your tracer makes extensive use of `BPF_MAP_TYPE_PERF_EVENT_ARRAY` or `BPF_MAP_TYPE_HASH`, you may find the performance characteristics of this implementation very appealing, as LuaJIT can compile to native code a lot of the callchain to process the events, and this wrapper has been designed to benefit from such JIT compilation. ## Quickstart Guide The following instructions assume Ubuntu 18.04 LTS. 1. Clone this repository ``` $ git clone https://github.com/iovisor/bcc.git $ cd bcc/ ``` 2. As per the [Ubuntu - Binary](https://github.com/iovisor/bcc/blob/master/INSTALL.md#ubuntu---binary) installation istructions, install the required upstream stable and signed packages ``` $ sudo apt-key adv --keyserver keyserver.ubuntu.com --recv-keys 4052245BD4284CDD $ echo "deb https://repo.iovisor.org/apt/$(lsb_release -cs) $(lsb_release -cs) main" | sudo tee /etc/apt/sources.list.d/iovisor.list $ sudo apt-get update $ sudo apt-get install bcc-tools libbcc-examples linux-headers-$(uname -r) ``` 3. Install LuaJit and the corresponding development files ``` $ sudo apt-get install luajit luajit-5.1-dev ``` 4. Test one of the examples to ensure `libbcc` is properly installed ``` $ sudo src/lua/bcc-probe examples/lua/task_switch.lua ``` ## LuaJIT BPF compiler Now it is also possible to write Lua functions and compile them transparently to BPF bytecode, here is a simple socket filter example: ```lua local S = require('syscall') local bpf = require('bpf') local map = bpf.map('array', 256) -- Kernel-space part of the program local prog = assert(bpf(function () local proto = pkt.ip.proto -- Get byte (ip.proto) from frame at [23] xadd(map[proto], 1) -- Increment packet count end)) -- User-space part of the program local sock = assert(bpf.socket('lo', prog)) for i=1,10 do local icmp, udp, tcp = map[1], map[17], map[6] print('TCP', tcp, 'UDP', udp, 'ICMP', icmp, 'packets') S.sleep(1) end ``` The other application of BPF programs is attaching to probes for [perf event tracing][tracing]. That means you can trace events inside the kernel (or user-space), and then collect results - for example histogram of `sendto()` latency, off-cpu time stack traces, syscall latency, and so on. While kernel probes and perf events have unstable ABI, with a dynamic language we can create and use proper type based on the tracepoint ABI on runtime. Runtime automatically recognizes reads that needs a helper to be accessed. The type casts denote source of the objects, for example the [bashreadline][bashreadline] example that prints entered bash commands from all running shells: ```lua local ffi = require('ffi') local bpf = require('bpf') -- Perf event map local sample_t = 'struct { uint64_t pid; char str[80]; }' local events = bpf.map('perf_event_array') -- Kernel-space part of the program bpf.uprobe('/bin/bash:readline' function (ptregs) local sample = ffi.new(sample_t) sample.pid = pid_tgid() ffi.copy(sample.str, ffi.cast('char *', req.ax)) -- Cast `ax` to string pointer and copy to buffer perf_submit(events, sample) -- Write sample to perf event map end, true, -1, 0) -- User-space part of the program local log = events:reader(nil, 0, sample_t) -- Must specify PID or CPU_ID to observe while true do log:block() -- Wait until event reader is readable for _,e in log:read() do -- Collect available reader events print(tonumber(e.pid), ffi.string(e.str)) end end ``` Where cast to `struct pt_regs` flags the source of data as probe arguments, which means any pointer derived from this structure points to kernel and a helper is needed to access it. Casting `req.ax` to pointer is then required for `ffi.copy` semantics, otherwise it would be treated as `u64` and only it's value would be copied. The type detection is automatic most of the times (socket filters and `bpf.tracepoint`), but not with uprobes and kprobes. ### Installation ```bash $ luarocks install bpf ``` ### Examples See `examples/lua` directory. ### Helpers * `print(...)` is a wrapper for `bpf_trace_printk`, the output is captured in `cat /sys/kernel/debug/tracing/trace_pipe` * `bit.*` library **is** supported (`lshift, rshift, arshift, bnot, band, bor, bxor`) * `math.*` library *partially* supported (`log2, log, log10`) * `ffi.cast()` is implemented (including structures and arrays) * `ffi.new(...)` allocates memory on stack, initializers are NYI * `ffi.copy(...)` copies memory (possibly using helpers) between stack/kernel/registers * `ntoh(x[, width])` - convert from network to host byte order. * `hton(x[, width])` - convert from host to network byte order. * `xadd(dst, inc)` - exclusive add, a synchronous `*dst += b` if Lua had `+=` operator Below is a list of BPF-specific helpers: * `time()` - return current monotonic time in nanoseconds (uses `bpf_ktime_get_ns`) * `cpu()` - return current CPU number (uses `bpf_get_smp_processor_id`) * `pid_tgid()` - return caller `tgid << 32 | pid` (uses `bpf_get_current_pid_tgid`) * `uid_gid()` - return caller `gid << 32 | uid` (uses `bpf_get_current_uid_gid`) * `comm(var)` - write current process name (uses `bpf_get_current_comm`) * `perf_submit(map, var)` - submit variable to perf event array BPF map * `stack_id(map, flags)` - return stack trace identifier from stack trace BPF map * `load_bytes(off, var)` - helper for direct packet access with `skb_load_bytes()` ### Current state * Not all LuaJIT bytecode opcodes are supported *(notable mentions below)* * Closures `UCLO` will probably never be supported, although you can use upvalues inside compiled function. * Type narrowing is opportunistic. Numbers are 64-bit by default, but 64-bit immediate loads are not supported (e.g. `local x = map[ffi.cast('uint64_t', 1000)]`) * Tail calls `CALLT`, and iterators `ITERI` are NYI (as of now) * Arbitrary ctype **is** supported both for map keys and values * Basic optimisations like: constant propagation, partial DCE, liveness analysis and speculative register allocation are implement, but there's no control flow analysis yet. This means the compiler has the visibility when things are used and dead-stores occur, but there's no rewriter pass to eliminate them. * No register sub-allocations, no aggressive use of caller-saved `R1-5`, no aggressive narrowing (this would require variable range assertions and variable relationships) * Slices with not 1/2/4/8 length are NYI (requires allocating a memory on stack and using pointer type) [bcc]: https://github.com/iovisor/bcc [tracing]: http://www.brendangregg.com/blog/2016-03-05/linux-bpf-superpowers.html [bashreadline]: http://www.brendangregg.com/blog/2016-02-08/linux-ebpf-bcc-uprobes.html