# # Copyright 2015 LinkedIn Corp. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # import json import datetime import sys, os import time from wherehows.common.writers import FileWriter from wherehows.common.schemas import DatasetSchemaRecord, DatasetFieldRecord from wherehows.common import Constant from org.slf4j import LoggerFactory class TeradataTransform: def __init__(self): self.logger = LoggerFactory.getLogger('jython script : ' + self.__class__.__name__) def transform(self, input, td_metadata, td_field_metadata): ''' convert from json to csv :param input: input json file :param td_metadata: output data file for teradata metadata :param td_field_metadata: output data file for teradata field metadata :return: ''' f_json = open(input) data = json.load(f_json) f_json.close() schema_file_writer = FileWriter(td_metadata) field_file_writer = FileWriter(td_field_metadata) for d in data: i = 0 for k in d.keys(): if k not in ['tables', 'views']: continue self.logger.info("%s %4d %s" % (datetime.datetime.now().strftime("%H:%M:%S"), len(d[k]), k)) for t in d[k]: self.logger.info("%4d %s" % (i, t['name'])) if t['name'] == 'HDFStoTD_2464_ERR_1': continue i += 1 output = {} prop_json = {} output['name'] = t['name'] output['original_name'] = t['original_name'] prop_json["createTime"] = t["createTime"] if t.has_key("createTime") else None prop_json["lastAlterTime"] = t["lastAlterTime"] if t.has_key("lastAlterTime") else None prop_json["lastAccessTime"] = t["lastAccessTime"] if t.has_key("lastAccessTime") else None prop_json["accessCount"] = t["accessCount"] if t.has_key("accessCount") else None prop_json["sizeInMbytes"] = t["sizeInMbytes"] if t.has_key("sizeInMbytes") else None if "type" in t: prop_json["storage_type"] = t["type"] if "partition" in t: prop_json["partition"] = t["partition"] if "partitions" in t: prop_json["partitions"] = t["partitions"] if "hashKey" in t: prop_json["hashKey"] = t["hashKey"] if "indices" in t: prop_json["indices"] = t["indices"] if "referenceTables" in t: prop_json["referenceTables"] = t["referenceTables"] if "viewSqlText" in t: prop_json["viewSqlText"] = t["viewSqlText"] output['fields'] = [] flds = {} field_detail_list = [] sort_id = 0 for c in t['columns']: # output['fields'].append( # { 'name' : t['name'].encode('latin-1'), # 'type' : None if c['data_type'] is None else c['data_type'].encode('latin-1'), # 'attributes_json' : c} # output['fields'][c['name'].encode('latin-1')].append({ "doc" : "", "type" : [None if c['data_type'] is None else c['data_type'].encode('latin-1')]}) sort_id += 1 output['fields'].append({"name": c['name'], "doc": '', "type": c['dataType'] if c['dataType'] else None, "nullable": c['nullable'], "maxByteLength": c['maxByteLength'], "format": c['columnFormat'] if c.has_key('columnFormat') else None, "accessCount": c['accessCount'] if c.has_key('accessCount') else None, "lastAccessTime": c['lastAccessTime'] if c.has_key("lastAccessTime") else None}) flds[c['name']] = {'type': c['dataType'], "maxByteLength": c['maxByteLength']} field_detail_list.append( ["teradata:///%s/%s" % (d['database'], output['name']), str(sort_id), '0', '', c['name'], '', c['dataType'] if 'dataType' in c and c['dataType'] is not None else '', str(c['maxByteLength']) if 'maxByteLength' in c else '0', str(c['precision']) if 'precision' in c and c['precision'] is not None else '', str(c['scale']) if 'scale' in c and c['scale'] is not None else '', c['nullable'] if 'nullable' in c and c['nullable'] is not None else 'Y', '', '', '', '', '', '', '']) dataset_scehma_record = DatasetSchemaRecord(output['name'], json.dumps(output), json.dumps(prop_json), json.dumps(flds), "teradata:///%s/%s" % (d['database'], output['name']), 'Teradata', output['original_name'], (self.convert_timestamp(t["createTime"]) if t.has_key("createTime") else None), (self.convert_timestamp(t["lastAlterTime"]) if t.has_key("lastAlterTime") else None)) schema_file_writer.append(dataset_scehma_record) for fields in field_detail_list: field_record = DatasetFieldRecord(fields) field_file_writer.append(field_record) schema_file_writer.flush() field_file_writer.flush() self.logger.info("%20s contains %6d %s" % (d['database'], i, k)) schema_file_writer.close() field_file_writer.close() def convert_timestamp(self, time_string): return int(time.mktime(time.strptime(time_string, "%Y-%m-%d %H:%M:%S"))) if __name__ == "__main__": args = sys.argv[1] t = TeradataTransform() t.log_file = args['teradata.log'] t.transform(args[Constant.TD_SCHEMA_OUTPUT_KEY], args[Constant.TD_METADATA_KEY], args[Constant.TD_FIELD_METADATA_KEY])