ReproLite : A Lightweight Tool to Quickly Reproduce Hard System Bugs
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1 ReproLite : A Lightweight Tool to Quickly Reproduce Hard System Bugs Kaituo Li (U. Massachusetts, Amherst) Pallavi Joshi (NEC Labs America) Aarti Gupta (NEC Labs America) Malay K. Ganai (NEC Labs America) 1
2 Outline Reproduce what bugs? Why lreprolite? Currently black-box stress testing e.g. HPs Load Runner record-and-replay e.g. ASPLOS 2012 Portend programmable scheduler e.g. PLDI 2013 Concurrit static-analysis e.g. ASPLOS 2010 Sherlog Our Contribution Repeatedly reproduce Motivation Do it in a lightweight way Provides assistance to understand the cause of a bug from logs Focus on system-level concurrency issues How? RE: Reproduction Engine 5 External events: cause them to happen Internal Event Internal events: wait for them Process Structure Process Internal X Event Process X Internal Event External Event Experiments We experimented with using ReproLite to debug 11 bugs from Cassandra bug 1477 Client Cassandra Node create create mark deleted T1 T3 delete Example FileNotFound Walkthrough Exception start T2 recreate create T2 read read delete 9 Cassandra Complexity So Less what? than 15 lines of code Instrumentation Overhead Usefulness of Logs HBase Almost nil for half of the bugs 70% percent of bug causes hidden in logs
3 Motivation 3
4 Cloud Systems Node 1 Process 1 Client1 Process Client2 Process Node 2 Process 2 Disk 2 Disk 1 Node 3 Process 3 Disk 3 4
5 ReproLite s Approach: 3 Main Elements (RL, RT, RE) Observe Events Cloud System RL (log analyzer) RT (bug scenario in DSL) RE (reproduction engine or scheduler) Control events 5
6 Reproduce what bugs? Why ReproLite? System-level bugs involving Concurrency System component interaction Environment non-determinism Benefits RT (DSL) Main new element: DSL for scenarios + scheduler Expressive for specifying bug scenarios in a deterministic manner RL (log analyzer) Provides assistance to understand the cause of a bug from logs RE (scheduler) Repeatedly reproduce lightweight 6
7 Structure 7
8 RL: Parse, extract and diff buggy and nonbuggy logs Log level Date & Time Thread name DEBUG [GC inspection] :23:29,160 GCInspector.java (line 131) GC for ParNew: 5 ms, Line reclaimed leaving number used; max is File name Log message 8
9 RE: Reproduction Engine RE control external events: cause them to happen Internal Event Internal Event Process RE observe internal events: Process wait for them to Process happen X X Internal Event External Event 9
10 RT: DSL for expressing bug scenario Bug Scenario Internal Event External Event Workload Scheduling Constraint * Run in sequence Left and right run in parallel E1 * E2 E1 E2 10
11 Cassandra Node Node Disk Node Disk Node Node Disk Disk Disk Client 11
12 Cassandra bug 1477 Client Cassandra Node create delete recreate read FileNotFound Exception delete getsegment 12
13 DSL example W1 = 'create-ks.sh test' W2 = 'add-cf.sh test cf' W3 = 'write.sh 20 test cf' W4 = 'flush.sh' W5 = 'drop.sh cf' W6 = 'add-cf.sh test cf' W7 = 'read.sh test cf' E1 [ stack ]= 'File.delete E2 [ stack ]= 'BufferedSegmentedFile.getSegment' W1 * W2 * W3 * W4 * ( W5 * W6 * W7 E1 * E2 ) A workload given by bash script names and arguments Stack traces to identify an internal event Bug scenario 13
14 Example Walkthrough 14
15 Users write code in DSL: First attempt W1 = 'create-ks.sh test' W2 = 'add-cf.sh test cf' W3 = 'write.sh 20 test cf' W4 = 'flush.sh' W5 = 'drop.sh cf' W6 = 'add-cf.sh test cf' W7 = 'read.sh test cf' E1 [ stack ]= 'File.delete E2 [ stack ]= 'BufferedSegmentedFile.getSegment' W1 * W2 * W3 * W4 * ( W5 * W6 * W7 E1 * E2 ) 15
16 Extract file name and line number from each log message and diff nonbuggyproc.out - Garbage collection (gc): reclaim memory objects that are no longer used Diff Result buggy-proc.out + Diff +GCInspector.java (line 131) +CassandraDaemon.java (line 84) +(No such file /tmp/rp/cass/server1/data/ks/cf-e-1-data.db +Cassandra.java (line 2761) Log messages related to FileNotFound Exception 16
17 Second attempt Client Cassandra Node create delete recreate read FileNotFound Exception gc delete getsegment An external event given by action and node ID X1 = garbage collection 'cnode' W1 * W2 * W3 * W4 * ( W5 * W6 * W7 X1 * E1 * E2 ) 17
18 Rely on logs and source code whenever possible buggy-proc.out SSTableReader.java 18
19 Final attempt Client Cassandra Node create delete recreate read FileNotFound Exception gc deleteoncleanup delete getsegment E3 [ stack ]= 'SSTableDeletingReference.deleteOnCleanup W1 * W2 * W3 * W4 * ( W5 * W6 * W7 E3 * X1 * E1 * E2 ) 19
20 How? (Implementation) 20
21 Implementation RL: Filter, concatenate, diff logs RT Event order Workload Python AspectJ RPC Java Bash aspects Workload Executor Schedules & external events External Events Emulator RE System Under Test Schedule Monitor Relevant Internal events Node Node Node instrumented instrumented instrumented 21
22 So What? (Experiments) 22
23 Experiments We experimented with using ReproLite to debug 11 bugs from Cassandra HBase Complexity Performance Overhead Usefulness of Logs <=6 events involved in each bug 0~132, close to 0 for half of the bugs 70% percent of bug causes hidden in logs. 23
24 Conclusion Users write code in DSL: Final attempt W1 = 'create-ks.sh test' W2 = 'add-cf.sh test cf' W3 = 'write.sh 20 test cf' W4 = 'flush.sh' W5 = 'drop.sh cf' High-level W6 = 'add-cf.sh test cf' language W7 = 'read.sh test cf' specifies X1 = garbage collection 'cnode' bug scenario E1 [ stack ]= 'File.delete E2 [ stack ]= 'BufferedSegmentedFile.getSegment' E3 [ stack ]= 'SSTableDeletingReference.deleteOnCleanup' RE: Reproduction Engine Process Tool enforces scheduling Process Internal Event X in distributed Process environment Internal Event Internal Event X External Event W1 * W2 * W3 * W4 * ( W5 * W6 * W7 E3 * X1 * E1 * E2 ) 16 8 Experiments We experimented with using ReproLite to debug 11 bugs from Cassandra HBase Illustrated benefits with 11 Complexity Less than 15 lines of code hard system bugs Instrumentation Almost nil for half of the bugs Overhead Usefulness of Logs 70% percent of bug causes hidden in logs
25 Thanks 25
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