Method print_json_hist

src/python/bcc/table.py:687–721

print_json_hist(val_type="value", section_header="Bucket ptr", section_print_fn=None, bucket_fn=None, bucket_sort_fn=None): Prints a table as a json histogram. The table must be stored as log2. The

(self, val_type="value", section_header="Bucket ptr",
                        section_print_fn=None, bucket_fn=None, bucket_sort_fn=None)

            buckets.append(bucket)

    def print_json_hist(self, val_type="value", section_header="Bucket ptr",
                        section_print_fn=None, bucket_fn=None, bucket_sort_fn=None):
        """print_json_hist(val_type="value", section_header="Bucket ptr",
                                   section_print_fn=None, bucket_fn=None,
                                   bucket_sort_fn=None):

                Prints a table as a json histogram. The table must be stored as
                log2. The val_type argument is optional, and is a column header.
                If the histogram has a secondary key, the dictionary will be split by secondary key
                If section_print_fn is not None, it will be passed the bucket value
                to format into a string as it sees fit. If bucket_fn is not None,
                it will be used to produce a bucket value for the histogram keys.
                If bucket_sort_fn is not None, it will be used to sort the buckets
                before iterating them, and it is useful when there are multiple fields
                in the secondary key.
                The maximum index allowed is log2_index_max (65), which will
                accommodate any 64-bit integer in the histogram.
                """
        if isinstance(self.Key(), ct.Structure):
            tmp = {}
            buckets = []
            self.decode_c_struct(tmp, buckets, bucket_fn, bucket_sort_fn)
            for bucket in buckets:
                vals = tmp[bucket]
                if section_print_fn:
                    section_bucket = (section_header, section_print_fn(bucket))
                else:
                    section_bucket = (section_header, bucket)
                print(_get_json_hist(vals, val_type, section_bucket))

        else:
            vals = [0] * log2_index_max
            for k, v in self.items():
                vals[k.value] = v.value
            print(_get_json_hist(vals, val_type))

    def print_log2_hist(self, val_type="value", section_header="Bucket ptr",
            section_print_fn=None, bucket_fn=None, strip_leading_zero=None,