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authorNamhyung Kim <namhyung@kernel.org>2023-03-14 16:42:28 -0700
committerArnaldo Carvalho de Melo <acme@redhat.com>2023-03-15 10:33:37 -0300
commit990a71e904f6ec2d7d84eecb37e5127b75721985 (patch)
tree3610fcde18c8cbb4852f138d7e784d6be1c9dc04 /tools/perf/util/bpf-filter.l
parent6e57f69f23d02b8c67d7428ee708b7d903ed22b2 (diff)
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perf bpf filter: Introduce basic BPF filter expression
This implements a tiny parser for the filter expressions used for BPF. Each expression will be converted to struct perf_bpf_filter_expr and be passed to a BPF map. For now, I'd like to start with the very basic comparisons like EQ or GT. The LHS should be a term for sample data and the RHS is a number. The expressions are connected by a comma. For example, period > 10000 ip < 0x1000000000000, cpu == 3 Signed-off-by: Namhyung Kim <namhyung@kernel.org> Acked-by: Jiri Olsa <jolsa@kernel.org> Cc: Adrian Hunter <adrian.hunter@intel.com> Cc: Andi Kleen <ak@linux.intel.com> Cc: Hao Luo <haoluo@google.com> Cc: Ian Rogers <irogers@google.com> Cc: Ingo Molnar <mingo@kernel.org> Cc: James Clark <james.clark@arm.com> Cc: Kan Liang <kan.liang@linux.intel.com> Cc: Leo Yan <leo.yan@linaro.org> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Ravi Bangoria <ravi.bangoria@amd.com> Cc: Song Liu <song@kernel.org> Cc: Stephane Eranian <eranian@google.com> Cc: bpf@vger.kernel.org Link: https://lore.kernel.org/r/20230314234237.3008956-2-namhyung@kernel.org Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
Diffstat (limited to 'tools/perf/util/bpf-filter.l')
-rw-r--r--tools/perf/util/bpf-filter.l82
1 files changed, 82 insertions, 0 deletions
diff --git a/tools/perf/util/bpf-filter.l b/tools/perf/util/bpf-filter.l
new file mode 100644
index 000000000000..f6c0b74ea285
--- /dev/null
+++ b/tools/perf/util/bpf-filter.l
@@ -0,0 +1,82 @@
+%option prefix="perf_bpf_filter_"
+%option noyywrap
+
+%{
+#include <stdio.h>
+#include <stdlib.h>
+#include <linux/perf_event.h>
+
+#include "bpf-filter.h"
+#include "bpf-filter-bison.h"
+
+static int sample(unsigned long sample_flag)
+{
+ perf_bpf_filter_lval.sample = sample_flag;
+ return BFT_SAMPLE;
+}
+
+static int operator(enum perf_bpf_filter_op op)
+{
+ perf_bpf_filter_lval.op = op;
+ return BFT_OP;
+}
+
+static int value(int base)
+{
+ long num;
+
+ errno = 0;
+ num = strtoul(perf_bpf_filter_text, NULL, base);
+ if (errno)
+ return BFT_ERROR;
+
+ perf_bpf_filter_lval.num = num;
+ return BFT_NUM;
+}
+
+static int error(const char *str)
+{
+ printf("perf_bpf_filter: Unexpected filter %s: %s\n", str, perf_bpf_filter_text);
+ return BFT_ERROR;
+}
+
+%}
+
+num_dec [0-9]+
+num_hex 0[Xx][0-9a-fA-F]+
+space [ \t]+
+ident [_a-zA-Z][_a-zA-Z0-9]+
+
+%%
+
+{num_dec} { return value(10); }
+{num_hex} { return value(16); }
+{space} { }
+
+ip { return sample(PERF_SAMPLE_IP); }
+id { return sample(PERF_SAMPLE_ID); }
+tid { return sample(PERF_SAMPLE_TID); }
+cpu { return sample(PERF_SAMPLE_CPU); }
+time { return sample(PERF_SAMPLE_TIME); }
+addr { return sample(PERF_SAMPLE_ADDR); }
+period { return sample(PERF_SAMPLE_PERIOD); }
+txn { return sample(PERF_SAMPLE_TRANSACTION); }
+weight { return sample(PERF_SAMPLE_WEIGHT); }
+phys_addr { return sample(PERF_SAMPLE_PHYS_ADDR); }
+code_pgsz { return sample(PERF_SAMPLE_CODE_PAGE_SIZE); }
+data_pgsz { return sample(PERF_SAMPLE_DATA_PAGE_SIZE); }
+
+"==" { return operator(PBF_OP_EQ); }
+"!=" { return operator(PBF_OP_NEQ); }
+">" { return operator(PBF_OP_GT); }
+"<" { return operator(PBF_OP_LT); }
+">=" { return operator(PBF_OP_GE); }
+"<=" { return operator(PBF_OP_LE); }
+"&" { return operator(PBF_OP_AND); }
+
+"," { return ','; }
+
+{ident} { return error("ident"); }
+. { return error("input"); }
+
+%%