)]}'
{"monasca_transform/transform/grouping/group_sort_by_timestamp.py":[{"author":{"_account_id":11580,"name":"Ashwin Agate","email":"agateaaa@gmail.com","username":"agateaaa"},"change_message_id":"f88294b5e54f6b8b057b00c0e06f92d59fb6ce26","unresolved":false,"context_lines":[{"line_number":46,"context_line":"        # key1\u003dvalue1^key2\u003dvalue2^..."},{"line_number":47,"context_line":"        group_by_key_value \u003d \"\""},{"line_number":48,"context_line":"        for gcol in group_by_columns_list:"},{"line_number":49,"context_line":""},{"line_number":50,"context_line":"            if gcol.startswith(\u0027dimensions.\u0027):"},{"line_number":51,"context_line":"                gcol \u003d \"dimensions[\u0027%s\u0027]\" % (gcol.split(\u0027.\u0027)[-1])"},{"line_number":52,"context_line":"            elif gcol.startswith(\u0027meta.\u0027):"}],"source_content_type":"text/x-python","patch_set":4,"id":"3fce034c_694f74bd","line":49,"updated":"2019-04-14 14:47:40.000000000","message":"The record_store data to find oldest quantity is in RDD format and not DataFrame format. To pull values from a map data type in an RDD the syntax is rdd_data_set.map_col[\u0027key\u0027] and not rdd_data_set.map_col.key (this only works for a DataFrame). Switched to using the proper syntax.","commit_id":"963f77481811fb91476fa07a49e825d89af02fea"}],"tests/functional/driver/test_first_attempt_at_spark.py":[{"author":{"_account_id":11580,"name":"Ashwin Agate","email":"agateaaa@gmail.com","username":"agateaaa"},"change_message_id":"377e412a09faf050c83719d980e02c7e7cf88dc2","unresolved":false,"context_lines":[{"line_number":1154,"context_line":"                         avail_swift_agg_metric.get(\u0027metric\u0027).get(\u0027value_meta\u0027)"},{"line_number":1155,"context_line":"                         .get(\u0027lastrecord_timestamp_string\u0027))"},{"line_number":1156,"context_line":""},{"line_number":1157,"context_line":"        # Verify swiftlm.diskusage.rate_agg metrics"},{"line_number":1158,"context_line":"        diskusage_rate_agg_metric \u003d \\"},{"line_number":1159,"context_line":"            metrics_dict[\u0027swiftlm.diskusage.rate_agg\u0027][0]"},{"line_number":1160,"context_line":""}],"source_content_type":"text/x-python","patch_set":4,"id":"3fce034c_e95b6484","line":1157,"updated":"2019-04-14 14:44:28.000000000","message":"swiftlm.diskusage.rate_agg metric test was in first_attempt_at_spark.py but since all the tests in this were being skipped, could not catch the error with rate calculation earlier.","commit_id":"963f77481811fb91476fa07a49e825d89af02fea"}]}