def collect_flow_schedules(self, schedule_file): self.logger.info("collect flow schedule") schedule_writer = FileWriter(schedule_file) query = """ SELECT DISTINCT cj.id as ref_id, cj.frequency, cj.time_unit, unix_timestamp(cj.start_time) as start_time, unix_timestamp(cj.end_time) as end_time, wj.app_path FROM COORD_JOBS cj JOIN COORD_ACTIONS ca ON ca.job_id = cj.id JOIN WF_JOBS wj ON ca.external_id = wj.id WHERE cj.status = 'RUNNING' """ self.oz_cursor.execute(query) rows = DbUtil.dict_cursor(self.oz_cursor) for row in rows: schedule_record = OozieFlowScheduleRecord(self.app_id, row['app_path'], row['time_unit'], str(row['frequency']), None, row['start_time'], row['end_time'], row['ref_id'], self.wh_exec_id) schedule_writer.append(schedule_record) schedule_writer.close()
def __init__(self, args): self.logger = LoggerFactory.getLogger('jython script : ' + self.__class__.__name__) self.base_url = args[Constant.BASE_URL_KEY] temp_dir = FileUtil.etl_temp_dir(args, "CODESEARCH") self.code_search_committer_writer = FileWriter( os.path.join(temp_dir, args[Constant.DATABASE_SCM_REPO_OUTPUT_KEY]))
def collect_job_execs(self, job_exec_file, lookback_period): self.logger.info("collect job execs") job_exec_writer = FileWriter(job_exec_file) query = """ select a.id as job_exec_id, a.name as job_name, j.id as flow_exec_id, a.status, a.user_retry_count, unix_timestamp(a.start_time) start_time, unix_timestamp(a.end_time) end_time, j.app_name as jname, j.app_path, transition from WF_ACTIONS a JOIN WF_JOBS j on a.wf_id = j.id where j.end_time > now() - INTERVAL %d MINUTE """ % (int(lookback_period)) self.oz_cursor.execute(query) rows = DbUtil.dict_cursor(self.oz_cursor) for row in rows: job_exec_record = OozieJobExecRecord(self.app_id, row['app_path'], row['flow_exec_id'], row['flow_exec_id'], row['job_name'], row['app_path'] + "/" + row['job_name'], row['job_exec_id'], row['status'], row['user_retry_count'], row['start_time'], row['end_time'], self.wh_exec_id) job_exec_writer.append(job_exec_record) job_exec_writer.close()
def collect_flow_schedules(self, schedule_file): # load flow scheduling info from table triggers self.logger.info("collect flow schedule") timezone = "ALTER SESSION SET TIME_ZONE = 'US/Pacific'" self.aw_cursor.execute(timezone) schema = "ALTER SESSION SET CURRENT_SCHEMA=APPWORX" self.aw_cursor.execute(schema) schedule_writer = FileWriter(schedule_file) query = \ """SELECT J.SO_APPLICATION, J.SO_MODULE, S.AW_SCH_NAME, S.AW_SCH_INTERVAL, S.AW_ACTIVE, ROUND((cast((FROM_TZ(CAST(S.AW_SCH_START as timestamp), 'US/Pacific') at time zone 'GMT') as date) - to_date('01-JAN-1970','DD-MON-YYYY'))* (86400)) as EFFECT_STARTED, ROUND((cast((FROM_TZ(CAST(S.AW_SCH_END as timestamp), 'US/Pacific') at time zone 'GMT') as date) - to_date('01-JAN-1970','DD-MON-YYYY'))* (86400)) as EFFECT_END FROM SO_JOB_TABLE J JOIN AW_MODULE_SCHED S ON J.SO_JOB_SEQ = S.AW_JOB_SEQ WHERE J.SO_COMMAND_TYPE = 'CHAIN' AND S.AW_ACTIVE = 'Y' """ self.aw_cursor.execute(query) rows = DbUtil.dict_cursor(self.aw_cursor) for row in rows: schedule_record = AppworxFlowScheduleRecord(self.app_id, row['SO_APPLICATION'] + ":" + row['SO_MODULE'], row['AW_SCH_NAME'], int(row['AW_SCH_INTERVAL']), long(row['EFFECT_STARTED']), long(row['EFFECT_END']), '0', self.wh_exec_id ) schedule_writer.append(schedule_record) schedule_writer.close()
def __init__(self): self.logger = LoggerFactory.getLogger('jython script : ' + self.__class__.__name__) username = args[Constant.HIVE_METASTORE_USERNAME] password = args[Constant.HIVE_METASTORE_PASSWORD] jdbc_driver = args[Constant.HIVE_METASTORE_JDBC_DRIVER] jdbc_url = args[Constant.HIVE_METASTORE_JDBC_URL] self.conn_hms = zxJDBC.connect(jdbc_url, username, password, jdbc_driver) self.curs = self.conn_hms.cursor() dependency_instance_file = args[Constant.HIVE_DEPENDENCY_CSV_FILE_KEY] self.instance_writer = FileWriter(dependency_instance_file)
def __init__(self): self.logger = LoggerFactory.getLogger('jython script : ' + self.__class__.__name__) requests.packages.urllib3.disable_warnings() self.app_id = int(args[Constant.APP_ID_KEY]) self.wh_exec_id = long(args[Constant.WH_EXEC_ID_KEY]) self.project_writer = FileWriter(args[Constant.GIT_PROJECT_OUTPUT_KEY]) self.repo_writer = FileWriter(args[Constant.PRODUCT_REPO_OUTPUT_KEY]) self.repo_owner_writer = FileWriter(args[Constant.PRODUCT_REPO_OWNER_OUTPUT_KEY]) self.multiproduct = {} self.git_repo = {} self.product_repo = []
def collect_flow_owners(self, owner_file): self.logger.info("collect owners") owner_writer = FileWriter(owner_file) query = "SELECT DISTINCT app_name, app_path, user_name from WF_JOBS" self.oz_cursor.execute(query) rows = DbUtil.dict_cursor(self.oz_cursor) for row in rows: owner_record = OozieFlowOwnerRecord(self.app_id, row['app_path'], row['user_name'], self.wh_exec_id) owner_writer.append(owner_record) owner_writer.close()
def collect_flow_schedules(self, schedule_file): # load flow scheduling info from table triggers self.logger.info("collect flow schedule") schedule_writer = FileWriter(schedule_file) query = "select * from triggers" self.az_cursor.execute(query) rows = DbUtil.dict_cursor(self.az_cursor) for row in rows: json_column = "data" if row[json_column] != None: unzipped_content = gzip.GzipFile( mode="r", fileobj=StringIO.StringIO(row[json_column].tostring()) ).read() try: row[json_column] = json.loads(unzipped_content) except Exception as e: self.logger.error(e) pass if not "projectId" in row[json_column]["actions"][0]["actionJson"]: continue # print json.dumps(row[json_column], indent=4) if row[json_column]["triggerCondition"]["checkers"][0]["checkerJson"]["isRecurring"] == "true": unit, frequency, cron_expr = None, None, None period = row[json_column]["triggerCondition"]["checkers"][0]["checkerJson"]["period"] if period is not None and period != "null" and period[-1:] in self._period_unit_table: unit = self._period_unit_table[period[-1:]] frequency = int( row[json_column]["triggerCondition"]["checkers"][0]["checkerJson"]["period"][:-1] ) if "cronExpression" in row[json_column]["triggerCondition"]["checkers"][0]["checkerJson"]: cron_expr = row[json_column]["triggerCondition"]["checkers"][0]["checkerJson"]["cronExpression"] schedule_record = AzkabanFlowScheduleRecord( self.app_id, row[json_column]["actions"][0]["actionJson"]["projectName"] + ":" + row[json_column]["actions"][0]["actionJson"]["flowName"], unit, frequency, cron_expr, long(row[json_column]["triggerCondition"]["checkers"][0]["checkerJson"]["firstCheckTime"]) / 1000, int(time.mktime(datetime.date(2099, 12, 31).timetuple())), "0", self.wh_exec_id, ) schedule_writer.append(schedule_record) schedule_writer.close()
def collect_flow_owners(self, owner_file): # load user info from table project_permissions self.logger.info("collect owner&permissions") user_writer = FileWriter(owner_file) query = "select f.flow_id, p.name as project_name, p.version as project_verison, pp.name as owner, pp.permissions, pp.isGroup " \ "from project_flows f join project_permissions pp on f.project_id = pp.project_id join projects p on f.project_id = p.id where p.active = 1" self.az_cursor.execute(query) rows = DbUtil.dict_cursor(self.az_cursor) for row in rows: record = AzkabanFlowOwnerRecord(self.app_id, row['project_name'] + ':' + row["flow_id"], row["owner"], AzkabanPermission(row["permissions"]).toFlatString(), 'GROUP' if row['isGroup'] == 1 else 'LDAP', self.wh_exec_id) user_writer.append(record) user_writer.close()
def collect_flow_execs(self, flow_exec_file, lookback_period): self.logger.info("collect flow execs") flow_exec_writer = FileWriter(flow_exec_file) query = "select id, app_name, app_path, unix_timestamp(start_time) as start_time, unix_timestamp(end_time) as end_time, run, status, user_name from WF_JOBS where end_time > now() - INTERVAL %d MINUTE" % (int(lookback_period)) self.oz_cursor.execute(query) rows = DbUtil.dict_cursor(self.oz_cursor) for row in rows: flow_exec_record = OozieFlowExecRecord(self.app_id, row['app_name'], row['app_path'], row['id'], row['id'], row['status'], row['run'], row['user_name'], row['start_time'], row['end_time'], self.wh_exec_id) flow_exec_writer.append(flow_exec_record) flow_exec_writer.close()
def collect_flow_owners(self, owner_file): self.logger.info("collect owner&permissions") timezone = "ALTER SESSION SET TIME_ZONE = 'US/Pacific'" self.aw_cursor.execute(timezone) schema = "ALTER SESSION SET CURRENT_SCHEMA=APPWORX" self.aw_cursor.execute(schema) user_writer = FileWriter(owner_file) query = \ """SELECT DISTINCT J.SO_JOB_SEQ, J.SO_MODULE, J.SO_APPLICATION, U.SO_USER_NAME FROM SO_JOB_TABLE J JOIN SO_JOB_HISTORY H ON J.SO_JOB_SEQ = H.SO_JOB_SEQ JOIN SO_USER_TABLE U ON H.SO_USER_SEQ = U.SO_USER_SEQ WHERE J.SO_COMMAND_TYPE = 'CHAIN' """ self.aw_cursor.execute(query) rows = DbUtil.dict_cursor(self.aw_cursor) for row in rows: record = AppworxFlowOwnerRecord(self.app_id, row['SO_APPLICATION'] + ':' + row["SO_MODULE"], row["SO_USER_NAME"], 'EXECUTE', 'GROUP', self.wh_exec_id) user_writer.append(record) user_writer.close()
def collect_flow_owners(self, owner_file): # load user info from table project_permissions self.logger.info("collect owner&permissions") user_writer = FileWriter(owner_file) query = "SELECT project_name, workflow_name, owner FROM workflow_info WHERE status is NULL" self.lz_cursor.execute(query) rows = DbUtil.dict_cursor(self.lz_cursor) for row in rows: record = LhotseFlowOwnerRecord( self.app_id, row['project_name'] + ':' + row["workflow_name"], row["owner"], 'ADMIN', 'LDAP', self.wh_exec_id) user_writer.append(record) user_writer.close()
def collect_flow_execs(self, flow_exec_file, lookback_period): self.logger.info("collect flow execs") flow_exec_writer = FileWriter(flow_exec_file) query = "select id, app_name, app_path, unix_timestamp(start_time) as start_time, unix_timestamp(end_time) as end_time, run, status, user_name from WF_JOBS where end_time > now() - INTERVAL %d MINUTE" % ( int(lookback_period)) self.oz_cursor.execute(query) rows = DbUtil.dict_cursor(self.oz_cursor) for row in rows: flow_exec_record = OozieFlowExecRecord( self.app_id, row['app_name'], row['app_path'], row['id'], row['id'], row['status'], row['run'], row['user_name'], row['start_time'], row['end_time'], self.wh_exec_id) flow_exec_writer.append(flow_exec_record) flow_exec_writer.close()
def collect_job_execs(self, job_exec_file, lookback_period): self.logger.info("collect job execs") job_exec_writer = FileWriter(job_exec_file) query = """ select a.id as job_exec_id, a.name as job_name, j.id as flow_exec_id, a.status, a.user_retry_count, unix_timestamp(a.start_time) start_time, unix_timestamp(a.end_time) end_time, j.app_name as jname, j.app_path, transition from WF_ACTIONS a JOIN WF_JOBS j on a.wf_id = j.id where j.end_time > now() - INTERVAL %d MINUTE """ % (int(lookback_period)) self.oz_cursor.execute(query) rows = DbUtil.dict_cursor(self.oz_cursor) for row in rows: job_exec_record = OozieJobExecRecord( self.app_id, row['app_path'], row['flow_exec_id'], row['flow_exec_id'], row['job_name'], row['app_path'] + "/" + row['job_name'], row['job_exec_id'], row['status'], row['user_retry_count'], row['start_time'], row['end_time'], self.wh_exec_id) job_exec_writer.append(job_exec_record) job_exec_writer.close()
def collect_flow_schedules(self, schedule_file): self.logger.info("collect flow schedule") schedule_writer = FileWriter(schedule_file) query = """ SELECT DISTINCT cj.id as ref_id, cj.frequency, cj.time_unit, unix_timestamp(cj.start_time) as start_time, unix_timestamp(cj.end_time) as end_time, wj.app_path FROM COORD_JOBS cj JOIN COORD_ACTIONS ca ON ca.job_id = cj.id JOIN WF_JOBS wj ON ca.external_id = wj.id WHERE cj.status = 'RUNNING' """ self.oz_cursor.execute(query) rows = DbUtil.dict_cursor(self.oz_cursor) for row in rows: schedule_record = OozieFlowScheduleRecord( self.app_id, row['app_path'], row['time_unit'], int(row['frequency']), row['start_time'], row['end_time'], row['ref_id'], self.wh_exec_id) schedule_writer.append(schedule_record) schedule_writer.close()
def transform(self, input, hive_metadata, hive_field_metadata): """ convert from json to csv :param input: input json file :param hive_metadata: output data file for hive table metadata :param hive_field_metadata: output data file for hive field metadata :return: """ f_json = open(input) all_data = json.load(f_json) f_json.close() schema_file_writer = FileWriter(hive_metadata) field_file_writer = FileWriter(hive_field_metadata) lineageInfo = LineageInfo() # one db info : 'type', 'database', 'tables' # one table info : required : 'name' , 'type', 'serializationFormat' ,'createTime', 'DB_ID', 'TBL_ID', 'SD_ID' # optional : 'schemaLiteral', 'schemaUrl', 'fieldDelimiter', 'fieldList' for one_db_info in all_data: i = 0 for table in one_db_info['tables']: i += 1 schema_json = {} prop_json = {} # set the prop json for prop_name in TableInfo.optional_prop: if prop_name in table and table[prop_name] is not None: prop_json[prop_name] = table[prop_name] if TableInfo.view_expended_text in prop_json: text = prop_json[TableInfo.view_expended_text].replace('`', '') array = HiveViewDependency.getViewDependency(text) l = [] for a in array: l.append(a) prop_json['view_depends_on'] = l # process either schema flds = {} field_detail_list = [] if TableInfo.schema_literal in table and table[TableInfo.schema_literal] is not None: sort_id = 0 try: schema_data = json.loads(table[TableInfo.schema_literal]) except ValueError: self.logger.error("Schema json error for table : \n" + str(table)) schema_json = schema_data # process each field for field in schema_data['fields']: field_name = field['name'] type = field['type'] # could be a list default_value = field['default'] if 'default' in field else None doc = field['doc'] if 'doc' in field else None attributes_json = json.loads(field['attributes_json']) if 'attributes_json' in field else None pk = delta = is_nullable = is_indexed = is_partitioned = inside_type = format = data_size = None if attributes_json: pk = attributes_json['pk'] if 'pk' in attributes_json else None delta = attributes_json['delta'] if 'delta' in attributes_json else None is_nullable = attributes_json['nullable'] if 'nullable' in attributes_json else None inside_type = attributes_json['type'] if 'type' in attributes_json else None format = attributes_json['format'] if 'format' in attributes_json else None flds[field_name] = {'type': type} # String urn, Integer sortId, Integer parentSortId, String parentPath, String fieldName, #String dataType, String isNullable, String defaultValue, Integer dataSize, String namespace, String description sort_id += 1 field_detail_list.append( ["hive:///%s/%s" % (one_db_info['database'], table['name']), str(sort_id), '0', None, field_name, '', type, data_size, None, None, is_nullable, is_indexed, is_partitioned, default_value, None, json.dumps(attributes_json)]) elif TableInfo.field_list in table: schema_json = {'type': 'record', 'name': table['name'], 'fields': table[TableInfo.field_list]} # construct a schema for data came from COLUMN_V2 for field in table[TableInfo.field_list]: field_name = field['ColumnName'] type = field['TypeName'] # ColumnName, IntegerIndex, TypeName, Comment flds[field_name] = {'type': type} pk = delta = is_nullable = is_indexed = is_partitioned = inside_type = format = data_size = default_value = None # TODO ingest field_detail_list.append( ["hive:///%s/%s" % (one_db_info['database'], table['name']), field['IntegerIndex'], '0', None, field_name, '', field['TypeName'], None, None, None, is_nullable, is_indexed, is_partitioned, default_value, None, None]) dataset_scehma_record = DatasetSchemaRecord(table['name'], json.dumps(schema_json), json.dumps(prop_json), json.dumps(flds), "hive:///%s/%s" % (one_db_info['database'], table['name']), 'Hive', '', (table[TableInfo.create_time] if table.has_key( TableInfo.create_time) else None), (table["lastAlterTime"]) if table.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 tables" % (one_db_info['database'], i)) schema_file_writer.close() field_file_writer.close()
def collect_flow_jobs(self, flow_file, job_file, dag_file): self.logger.info("collect flow&jobs") query = "SELECT distinct f.*, p.name as project_name FROM project_flows f inner join projects p on f.project_id = p.id and f.version = p.version where p.active = 1" self.az_cursor.execute(query) rows = DbUtil.dict_cursor(self.az_cursor) flow_writer = FileWriter(flow_file) job_writer = FileWriter(job_file) dag_writer = FileWriter(dag_file) row_count = 0 for row in rows: row['version'] = 0 if (row["version"] is None) else row["version"] json_column = 'json' unzipped_content = gzip.GzipFile(mode='r', fileobj=StringIO.StringIO(row[json_column].tostring())).read() try: row[json_column] = json.loads(unzipped_content) except: pass flow_path = row['project_name'] + ":" + row['flow_id'] flow_record = AzkabanFlowRecord(self.app_id, row['flow_id'], row['project_name'], flow_path, 0, row['modified_time'] / 1000, row["version"], 'Y', self.wh_exec_id) flow_writer.append(flow_record) # get flow jobs nodes = row[json_column]['nodes'] for node in nodes: job_record = AzkabanJobRecord(self.app_id, flow_path, row["version"], node['id'], flow_path + '/' + node['id'], node['jobType'], 'Y', self.wh_exec_id) if node['jobType'] == 'flow': job_record.setRefFlowPath(row['project_name'] + ":" + node['embeddedFlowId']) job_writer.append(job_record) # job dag edges = row[json_column]['edges'] for edge in edges: dag_edge = AzkabanFlowDagRecord(self.app_id, flow_path, row['version'], flow_path + '/' + edge['source'], flow_path + '/' + edge['target'], self.wh_exec_id) dag_writer.append(dag_edge) row_count += 1 if row_count % 1000 == 0: flow_writer.flush() job_writer.flush() dag_writer.flush() flow_writer.close() job_writer.close() dag_writer.close()
def collect_flow_execs(self, flow_exec_file, job_exec_file, look_back_period): self.logger.info("collect flow&job executions [last_execution_unix_time=%s lookback_period=%s]" % (self.last_execution_unix_time, self.lookback_period)) flow_exec_writer = FileWriter(flow_exec_file) job_exec_writer = FileWriter(job_exec_file) timezone = "ALTER SESSION SET TIME_ZONE = 'US/Pacific'" self.aw_cursor.execute(timezone) schema = "ALTER SESSION SET CURRENT_SCHEMA=APPWORX" self.aw_cursor.execute(schema) flow_id_list = [] if self.last_execution_unix_time: flow_cmd = \ """SELECT J.SO_JOB_SEQ, J.SO_MODULE, J.SO_APPLICATION, H.SO_STATUS_NAME, H.SO_JOBID, H.SO_CHAIN_ID, ROUND((cast((FROM_TZ(CAST(H.SO_JOB_STARTED as timestamp), 'US/Pacific') at time zone 'GMT') as date) - to_date('01-JAN-1970','DD-MON-YYYY'))* (86400)) as JOB_STARTED, ROUND((cast((FROM_TZ(CAST(H.SO_JOB_FINISHED as timestamp), 'US/Pacific') at time zone 'GMT') as date) - to_date('01-JAN-1970','DD-MON-YYYY'))* (86400)) as JOB_FINISHED, U.SO_USER_NAME FROM SO_JOB_TABLE J JOIN ( SELECT * FROM SO_JOB_HISTORY WHERE SO_JOB_FINISHED >= DATE '1970-01-01' - interval '8' hour + (%d - 3600) / 86400 AND SO_CHILD_COUNT > 0 UNION ALL SELECT * FROM SO_JOB_QUEUE WHERE SO_STATUS_NAME IN ('INITIATED', 'RUNNING', 'FINISHED') AND SO_CHILD_COUNT > 0 ) H ON J.SO_JOB_SEQ = H.SO_JOB_SEQ LEFT JOIN SO_USER_TABLE U ON H.SO_USER_SEQ = U.SO_USER_SEQ WHERE J.SO_COMMAND_TYPE = 'CHAIN' """ % long(self.last_execution_unix_time) else: flow_cmd = \ """SELECT J.SO_JOB_SEQ, J.SO_MODULE, J.SO_APPLICATION, H.SO_STATUS_NAME, H.SO_JOBID, H.SO_CHAIN_ID, ROUND((cast((FROM_TZ(CAST(H.SO_JOB_STARTED as timestamp), 'US/Pacific') at time zone 'GMT') as date) - to_date('01-JAN-1970','DD-MON-YYYY'))* (86400)) as JOB_STARTED, ROUND((cast((FROM_TZ(CAST(H.SO_JOB_FINISHED as timestamp), 'US/Pacific') at time zone 'GMT') as date) - to_date('01-JAN-1970','DD-MON-YYYY'))* (86400)) as JOB_FINISHED, U.SO_USER_NAME FROM SO_JOB_TABLE J JOIN ( SELECT * FROM SO_JOB_HISTORY WHERE SO_JOB_FINISHED >= SYSDATE - %d AND SO_CHILD_COUNT > 0 UNION ALL SELECT * FROM SO_JOB_QUEUE WHERE SO_STATUS_NAME IN ('INITIATED', 'RUNNING', 'FINISHED') AND SO_CHILD_COUNT > 0 ) H ON J.SO_JOB_SEQ = H.SO_JOB_SEQ LEFT JOIN SO_USER_TABLE U ON H.SO_USER_SEQ = U.SO_USER_SEQ WHERE J.SO_COMMAND_TYPE = 'CHAIN' """ % int(self.lookback_period) ''' SO_CHAIN_ID = :flow_exec_id will find all job executions under the top level flow select SO_EXECUTE_ORDER, SO_JOBID, SO_PARENTS_JOBID, SO_DIRECT_PARENT_JOBID, SO_CHAIN_ID from so_job_history where SO_JOBID = SO_CHAIN_ID or SO_PARENTS_JOBID <> SO_CHAIN_ID ''' if self.last_execution_unix_time: job_cmd = \ """SELECT D.SO_TASK_NAME, U.SO_USER_NAME, H.SO_STATUS_NAME, H.SO_JOBID, D.SO_DET_SEQ as JOB_ID, ROUND((cast((FROM_TZ(CAST(H.SO_JOB_STARTED as timestamp), 'US/Pacific') at time zone 'GMT') as date) - to_date('01-JAN-1970','DD-MON-YYYY'))* (86400)) as JOB_STARTED, ROUND((cast((FROM_TZ(CAST(H.SO_JOB_FINISHED as timestamp), 'US/Pacific') at time zone 'GMT') as date) - to_date('01-JAN-1970','DD-MON-YYYY'))* (86400)) as JOB_FINISHED FROM SO_JOB_HISTORY H JOIN SO_CHAIN_DETAIL D ON D.SO_CHAIN_SEQ = H.SO_CHAIN_SEQ AND D.SO_DET_SEQ = H.SO_DET_SEQ LEFT JOIN SO_USER_TABLE U ON H.SO_USER_SEQ = U.SO_USER_SEQ WHERE --H.SO_JOB_FINISHED >= DATE '1970-01-01' - interval '8' hour + (%d - 3600) / 86400) and H.SO_CHAIN_ID = %d""" else: job_cmd = \ """SELECT D.SO_TASK_NAME, U.SO_USER_NAME, H.SO_STATUS_NAME, H.SO_JOBID, D.SO_DET_SEQ as JOB_ID, ROUND((cast((FROM_TZ(CAST(H.SO_JOB_STARTED as timestamp), 'US/Pacific') at time zone 'GMT') as date) - to_date('01-JAN-1970','DD-MON-YYYY'))* (86400)) as JOB_STARTED, ROUND((cast((FROM_TZ(CAST(H.SO_JOB_FINISHED as timestamp), 'US/Pacific') at time zone 'GMT') as date) - to_date('01-JAN-1970','DD-MON-YYYY'))* (86400)) as JOB_FINISHED FROM SO_JOB_HISTORY H JOIN SO_CHAIN_DETAIL D ON D.SO_CHAIN_SEQ = H.SO_CHAIN_SEQ AND D.SO_DET_SEQ = H.SO_DET_SEQ LEFT JOIN SO_USER_TABLE U ON H.SO_USER_SEQ = U.SO_USER_SEQ WHERE H.SO_JOB_FINISHED >= SYSDATE - %d and H.SO_CHAIN_ID = %d""" try: self.aw_cursor.execute(flow_cmd) except Exception as e: self.logger.error(e + "\n" + flow_cmd) rows = DbUtil.dict_cursor(self.aw_cursor) row_count = 0 for row in rows: flow_path = row['SO_APPLICATION'] + ":" + row['SO_MODULE'] so_flow_id = row['SO_JOBID'] flow_attempt = 0 flow_exec_id = 0 try: flow_attempt = int(float(str(so_flow_id - int(so_flow_id))[1:])*100) flow_exec_id = int(so_flow_id) except Exception as e: self.logger.error(e) self.logger.debug("processing flow_exec_id: %8d" % flow_exec_id) flow_exec_record = AppworxFlowExecRecord(self.app_id, long(row['SO_JOB_SEQ']), row['SO_MODULE'], flow_path, 0, flow_exec_id, row['SO_STATUS_NAME'], flow_attempt, row['SO_USER_NAME'] if row['SO_USER_NAME'] else '', long(row['JOB_STARTED']), long(row['JOB_FINISHED'] if row['JOB_FINISHED'] else 0), self.wh_exec_id) flow_exec_writer.append(flow_exec_record) new_appworx_cursor = self.aw_con.cursor() if self.last_execution_unix_time: new_appworx_cursor.execute(job_cmd % (long(self.last_execution_unix_time), flow_exec_id)) else: new_appworx_cursor.execute(job_cmd % (int(self.lookback_period), flow_exec_id)) job_rows = DbUtil.dict_cursor(new_appworx_cursor) for job in job_rows: so_job_id = job['SO_JOBID'] job_attempt = 0 job_exec_id = 0 try: job_attempt = int(float(str(so_job_id - int(so_job_id))[1:])*100) job_exec_id = int(so_job_id) except Exception as e: self.logger.error(e) job_exec_record = AppworxJobExecRecord(self.app_id, long(row['SO_JOB_SEQ']), flow_path, 0, flow_exec_id, long(job['JOB_ID']), job['SO_TASK_NAME'], flow_path + "/" + job['SO_TASK_NAME'], job_exec_id, job['SO_STATUS_NAME'], job_attempt, long(job['JOB_STARTED']), long(job['JOB_FINISHED']), self.wh_exec_id) job_exec_writer.append(job_exec_record) row_count += 1 if row_count % 10000 == 0: flow_exec_writer.flush() job_exec_writer.flush() flow_exec_writer.close() job_exec_writer.close()
def collect_flow_execs(self, flow_exec_file, job_exec_file, look_back_period): self.logger.info( "collect flow&job executions") flow_exec_writer = FileWriter(flow_exec_file) job_exec_writer = FileWriter(job_exec_file) cmd = """select * from execution_flows where end_time > UNIX_TIMESTAMP(now() - INTERVAL %d MINUTE) * 1000 """ % (int(look_back_period)) self.az_cursor.execute(cmd) rows = DbUtil.dict_cursor(self.az_cursor) row_count = 0 for row in rows: json_column = 'flow_data' unzipped_content = gzip.GzipFile(mode='r', fileobj=StringIO.StringIO(row[json_column].tostring())).read() try: row[json_column] = json.loads(unzipped_content) except Exception as e: self.logger.error(e) pass flow_data = row[json_column] flow_path = flow_data['projectName'] + ":" + flow_data['flowId'] flow_exec_record = AzkabanFlowExecRecord(self.app_id, flow_data['flowId'], flow_path, row['version'], row['exec_id'], flow_data['status'], flow_data['attempt'], row['submit_user'], long(row['start_time']) / 1000, long(row['end_time']) / 1000, self.wh_exec_id) flow_exec_writer.append(flow_exec_record) nodes = flow_data['nodes'] job_exec_records = [] for node in nodes: job_exec_record = AzkabanJobExecRecord(self.app_id, flow_path, row['version'], row['exec_id'], node['id'], flow_path + "/" + node['id'], None, node['status'], node['attempt'], long(node['startTime']) / 1000, long(node['endTime']) / 1000, self.wh_exec_id) job_exec_records.append(job_exec_record) AzkabanJobExecUtil.sortAndSet(job_exec_records) for r in job_exec_records: job_exec_writer.append(r) row_count += 1 if row_count % 10000 == 0: flow_exec_writer.flush() job_exec_writer.flush() flow_exec_writer.close() job_exec_writer.close()
def run(self, database_name, table_name, schema_output_file, sample_output_file, sample=True): """ The entrance of the class, extract schema and sample data Notice the database need to have a order that the databases have more info (DWH_STG) should be scaned first. :param database_name: :param table_name: :param schema_output_file: :return: """ cur = self.conn_td.cursor() schema = [] f_log = open(self.log_file, "a") schema_json = open(schema_output_file, 'wb') os.chmod(schema_output_file, 0666) if database_name is None and table_name is None: # default route: process everything for database_name in self.databases: self.logger.info("Collecting tables in database : " + database_name) # table info rows = [] begin = datetime.datetime.now().strftime("%H:%M:%S") rows.extend(self.get_table_info(database_name, table_name)) if len(rows) > 0: self.format_table_metadata(rows, schema) end = datetime.datetime.now().strftime("%H:%M:%S") f_log.write("Get table info %12s [%s -> %s]\n" % (database_name, str(begin), str(end))) # view info rows = [] begin = datetime.datetime.now().strftime("%H:%M:%S") rows.extend(self.get_view_info(database_name, table_name)) if len(rows) > 0: self.format_view_metadata(rows, schema) end = datetime.datetime.now().strftime("%H:%M:%S") f_log.write("Get view info %12s [%s -> %s]\n" % (database_name, str(begin), str(end))) scaned_dict = {} # a cache of {name : {urn : _, data : _}} to avoid repeat computing if sample: open(sample_output_file, 'wb') os.chmod(sample_output_file, 0666) sample_file_writer = FileWriter(sample_output_file) # collect sample data for onedatabase in schema: database_name = onedatabase['database'] if 'tables' in onedatabase: alltables = onedatabase['tables'] else: alltables = onedatabase['views'] for onetable in alltables: table_name = onetable['original_name'].split('.')[1] if table_name in scaned_dict: sample_record = SampleDataRecord('teradata', '/' + database_name + '/' + table_name, scaned_dict[table_name]['ref_urn'], scaned_dict[table_name]['data']) else: (ref_urn, sample_data) = self.get_sample_data(database_name, table_name) sample_record = SampleDataRecord('teradata', '/' + database_name + '/' + table_name, '', sample_data) scaned_dict[table_name] = {'ref_urn': ref_urn, 'data': sample_data} sample_file_writer.append(sample_record) sample_file_writer.close() # print 'byte size of schema : ' + str(sys.getsizeof(schema)) schema_json.write(json.dumps(schema, indent=None) + '\n') cur.close() schema_json.close() f_log.close()
def __init__(self): self.logger = LoggerFactory.getLogger('jython script : ' + self.__class__.__name__) self.base_url = args[Constant.BASE_URL_KEY] self.code_search_committer_writer = FileWriter(args[Constant.DATABASE_SCM_REPO_OUTPUT_KEY])
class CodeSearchExtract: """ Lists all repos for oracle & espresso databases. Since this feature is not available through the UI, we need to use http://go/codesearch to discover the multiproduct repos that use 'li-db' plugin. """ # verbose = False limit_search_result = 500 # limit_multiproduct = None # limit_plugin = None def __init__(self): self.logger = LoggerFactory.getLogger('jython script : ' + self.__class__.__name__) self.base_url = args[Constant.BASE_URL_KEY] self.code_search_committer_writer = FileWriter(args[Constant.DATABASE_SCM_REPO_OUTPUT_KEY]) def run(self): offset_min = 1 offset_max = 100 databases = [] search_request = \ {"request": { "other":{"CurrentResult":str(offset_min),"requestTimeout":"200000000"}, "queryContext":{"numToScore":1000,"docDataSet":"results","rawQuery":"type:gradle plugin:*'li-db'"}, "paginationContext":{"numToReturn":offset_max} } } while True: resp = requests.post(self.base_url + '/galene-codesearch?action=search', json=search_request, verify=False) if resp.status_code != 200: # This means something went wrong. d = resp.json() self.logger.info("Request Error! Stack trace {}".format(d['stackTrace'])) # raise Exception('Request Error', 'POST /galene-codesearch?action=search %s' % (resp.status_code)) break result = resp.json()['value'] self.logger.debug("Pagination offset = {}".format(result['total'])) for element in result['elements']: fpath = element['docData']['filepath'] ri = fpath.rindex('/') prop_file = fpath[:ri] + '/database.properties' # e.g. identity-mt/database/Identity/database.properties # network/database/externmembermap/database.properties # cap-backend/database/campaigns-db/database.properties try: databases.append( {'filepath': prop_file, 'app_name': element['docData']['mp']} ) except: self.logger.error("Exception happens with prop_file {}".format(prop_file)) if result['total'] < 100: break offset_min += int(result['total']) offset_max += 100 # if result['total'] < 100 else result['total'] search_request['request']['other']['CurrentResult'] = str(offset_min) search_request['request']['paginationContext']['numToReturn'] = offset_max self.logger.debug("Property file path {}".format(search_request)) self.logger.debug(" length of databases is {}".format(len(databases))) owner_count = 0 committers_count = 0 for db in databases: prop_file = db['filepath'] file_request = \ {"request":{ "other":{"filepath":prop_file, "TextTokenize":"True", "CurrentResult":"1", "requestTimeout":"2000000000" }, "queryContext":{"numToScore":10,"docDataSet":"result"}, "paginationContext":{"numToReturn":1} } } resp = requests.post(self.base_url + '/galene-codesearch?action=search', json=file_request, verify=False) if resp.status_code != 200: # This means something went wrong. d = resp.json() self.logger.info("Request Error! Stack trace {}".format(d['stackTrace'])) continue result = resp.json()['value'] if result['total'] < 1: self.logger.info("Nothing found for {}".format(prop_file)) continue if "repoUrl" in result['elements'][0]['docData']: db['scm_url'] = result['elements'][0]['docData']['repoUrl'] db['scm_type'] = result['elements'][0]['docData']['repotype'] db['committers'] = '' if db['scm_type'] == 'SVN': schema_in_repo = re.sub(r"http://(\w+)\.([\w\.\-/].*)database.properties\?view=markup", "http://svn." + r"\2" + "schema", db['scm_url']) db['committers'] = self.get_svn_committers(schema_in_repo) committers_count +=1 self.logger.info("Committers for {} => {}".format(schema_in_repo,db['committers'])) else: self.logger.info("Search request {}".format(prop_file)) code = result['elements'][0]['docData']['code'] try: code_dict = dict(line.split("=", 1) for line in code.strip().splitlines()) db['database_name'] = code_dict['database.name'] db['database_type'] = code_dict['database.type'] owner_record = SCMOwnerRecord( db['scm_url'], db['database_name'], db['database_type'], db['app_name'], db['filepath'], db['committers'], db['scm_type'] ) owner_count += 1 self.code_search_committer_writer.append(owner_record) except Exception as e: self.logger.error(e) self.logger.error("Exception happens with code {}".format(code)) self.code_search_committer_writer.close() self.logger.info('Finish Fetching committers, total {} committers entries'.format(committers_count)) self.logger.info('Finish Fetching SVN owners, total {} records'.format(owner_count)) def get_svn_committers(self, svn_repo_path): """Collect recent committers from the cmd svn log %s | grep '^\(A=\|r[0-9]* \)' | head -10 e.g. r1617887 | htang | 2016-09-21 14:27:40 -0700 (Wed, 21 Sep 2016) | 12 lines A=shanda,pravi r1600397 | llu | 2016-08-08 17:14:22 -0700 (Mon, 08 Aug 2016) | 3 lines A=rramakri,htang """ #svn_cmd = """svn log %s | grep '^\(A=\|r[0-9]* \)' | head -10""" committers = [] possible_svn_paths = [svn_repo_path, svn_repo_path + "ta"] for svn_repo_path in possible_svn_paths: p = subprocess.Popen('svn log ' + svn_repo_path + " |grep '^\(A=\|r[0-9]* \)' |head -10", shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) svn_log_output, svn_log_err = p.communicate() if svn_log_err[:12] == 'svn: E160013': continue # try the next possible path for line in svn_log_output.split('\n'): if re.match(r"r[0-9]+", line): committer = line.split('|')[1].strip() if committer not in committers: committers.append(committer) elif line[:2] == 'A=': for apvr in line[2:].split(','): if apvr not in committers: committers.append(apvr) if len(committers) > 0: self.logger.debug(" {}, ' => ', {}".format(svn_repo_path,committers)) break return ','.join(committers)
def transform(self, raw_metadata, metadata_output, field_metadata_output): # sys.setdefaultencoding("UTF-8") input_json_file = open(raw_metadata, 'r') schema_file_writer = FileWriter(metadata_output) field_file_writer = FileWriter(field_metadata_output) i = 0 self.sort_id = 0 o_urn = '' p = '' def fields_json_to_csv(output_list_, parent_field_path, field_list_): # string, list, int, optional int self.sort_id parent_field_path parent_id = self.sort_id for f in field_list_: self.sort_id += 1 o_field_name = f['name'] o_field_data_type = '' o_field_data_size = None o_field_nullable = 'N' o_field_default = '' o_field_namespace = '' o_field_doc = '' effective_type_index_in_type = -1 if f.has_key('namespace'): o_field_namespace = f['namespace'] if f.has_key('default') and type(f['default']) != None: o_field_default = f['default'] if not f.has_key('type'): o_field_data_type = None elif type(f['type']) == list: i = effective_type_index = -1 for data_type in f['type']: i += 1 # current index if type(data_type) is None or (data_type == 'null'): o_field_nullable = 'Y' elif type(data_type) == dict: o_field_data_type = data_type['type'] effective_type_index_in_type = i if data_type.has_key('namespace'): o_field_namespace = data_type['namespace'] elif data_type.has_key('name'): o_field_namespace = data_type['name'] if data_type.has_key('size'): o_field_data_size = data_type['size'] else: o_field_data_size = None else: o_field_data_type = data_type effective_type_index_in_type = i elif type(f['type']) == dict: o_field_data_type = f['type']['type'] else: o_field_data_type = f['type'] if f.has_key('attributes') and f['attributes'].has_key('nullable'): o_field_nullable = 'Y' if f['attributes']['nullable'] else 'N' if f.has_key('attributes') and f['attributes'].has_key('size'): o_field_data_size = f['attributes']['size'] if f.has_key('doc'): if len(f['doc']) == 0 and f.has_key('attributes'): o_field_doc = json.dumps(f['attributes']) else: o_field_doc = f['doc'] elif f.has_key('comment'): o_field_doc = f['comment'] output_list_.append( [o_urn, self.sort_id, parent_id, parent_field_path, o_field_name, o_field_data_type, o_field_nullable, o_field_default, o_field_data_size, o_field_namespace, o_field_doc.replace("\n", ' ') if o_field_doc is not None else None]) # check if this field is a nested record if type(f['type']) == dict and f['type'].has_key('fields'): current_field_path = o_field_name if parent_field_path == '' else parent_field_path + '.' + o_field_name fields_json_to_csv(output_list_, current_field_path, f['type']['fields']) elif type(f['type']) == dict and f['type'].has_key('items') and type(f['type']['items']) == dict and f['type']['items'].has_key('fields'): current_field_path = o_field_name if parent_field_path == '' else parent_field_path + '.' + o_field_name fields_json_to_csv(output_list_, current_field_path, f['type']['items']['fields']) if effective_type_index_in_type >= 0 and type(f['type'][effective_type_index_in_type]) == dict: if f['type'][effective_type_index_in_type].has_key('items') and type( f['type'][effective_type_index_in_type]['items']) == list: for item in f['type'][effective_type_index_in_type]['items']: if type(item) == dict and item.has_key('fields'): current_field_path = o_field_name if parent_field_path == '' else parent_field_path + '.' + o_field_name fields_json_to_csv(output_list_, current_field_path, item['fields']) elif f['type'][effective_type_index_in_type].has_key('items') and f['type'][effective_type_index_in_type]['items'].has_key('fields'): # type: [ null, { type: array, items: { name: xxx, type: record, fields: [] } } ] current_field_path = o_field_name if parent_field_path == '' else parent_field_path + '.' + o_field_name fields_json_to_csv(output_list_, current_field_path, f['type'][effective_type_index_in_type]['items']['fields']) elif f['type'][effective_type_index_in_type].has_key('fields'): # if f['type'][effective_type_index_in_type].has_key('namespace'): # o_field_namespace = f['type'][effective_type_index_in_type]['namespace'] current_field_path = o_field_name if parent_field_path == '' else parent_field_path + '.' + o_field_name fields_json_to_csv(output_list_, current_field_path, f['type'][effective_type_index_in_type]['fields']) # End of function for line in input_json_file: try: j = json.loads(line) except: self.logger.error(" Invalid JSON:\n%s" % line) continue i += 1 o_field_list_ = [] parent_field_path = '' self.sort_id = 0 if not (j.has_key('attributes_json') or j.has_key('attributes')): o_properties = {"doc": null} else: o_properties = {} if j.has_key('attributes_json'): o_properties = json.loads(j['attributes_json']) del j['attributes_json'] if j.has_key('attributes'): o_properties = dict(j['attributes'].items() + o_properties.items()) del j['attributes'] if j.has_key('uri'): o_urn = j['uri'] elif o_properties.has_key('uri'): o_urn = o_properties['uri'] else: self.logger.info('*** Warning: "uri" is not found in %s' % j['name']) o_urn = '' if o_urn.find('hdfs://') == 0: o_name = o_urn[o_urn.rfind('/') + 1:] elif o_properties.has_key('table_name'): o_name = o_properties['table_name'] elif j.has_key('name') and j['name'][0:5] != 'TUPLE': o_name = j['name'] else: o_name = o_urn[o_urn.rfind('/') + 1:] if j.has_key('id') or not j.has_key('fields'): # esWritable schema o_fields = {} for k in j: if not (k == 'uri' or k == 'attributes' or k == 'doc'): if type(j[k]) == list: o_fields[k] = {"name": k, "type": 'list', "doc": str(j[k])} elif type(j[k]) == dict: o_fields[k] = {"name": k, "type": 'dict', "doc": str(j[k])} else: o_fields[k] = {"name": k, "type": j[k], "doc": None} self.sort_id += 1 o_field_list_.append([o_urn, self.sort_id, 0, '', k, o_fields[k]['type'], '', '', '', o_fields[k]['doc'].replace("\n", ' ') if o_fields[k]['doc'] is not None else None]) elif j.has_key('fields'): o_fields = {} for f in j['fields']: o_field_name = f['name'] o_fields[o_field_name] = dict(f) # for schema output if f.has_key('attributes_json'): f['attributes'] = json.loads(f['attributes_json']) del f['attributes_json'] fields_json_to_csv(o_field_list_, '', j['fields']) else: o_fields = {"doc": None} if j.has_key('attributes') and not o_properties.has_key('source'): o_properties['source'] = j['attributes']['source'] if o_urn.startswith('hdfs:///') and self.file_regex_source_map is not None: o_source = self.get_source(o_urn[7:]) else: self.logger.warn("property : " + Constant.HDFS_FILE_SOURCE_MAP_KEY + " is None, will use default source for all dataset") o_source = 'Hdfs' self.logger.info( "%4i (%6i): %4i fields, %4i total fields(including nested) found in [%s]@%s with source %s" % (i, len(j), len(o_fields), len(o_field_list_), o_name, o_urn, o_source)) dataset_schema_record = DatasetSchemaRecord(o_name, json.dumps(j, sort_keys=True), json.dumps(o_properties, sort_keys=True), json.dumps(o_fields), o_urn, o_source, None, None, None) schema_file_writer.append(dataset_schema_record) for fields in o_field_list_: field_record = DatasetFieldRecord(fields) field_file_writer.append(field_record) schema_file_writer.close() field_file_writer.close() input_json_file.close()
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 collect_flow_jobs(self, flow_file, job_file, dag_file): self.logger.info("collect flow&jobs [last_execution_unix_time=%s lookback_period=%s]" % (self.last_execution_unix_time, self.lookback_period)) timezone = "ALTER SESSION SET TIME_ZONE = 'US/Pacific'" self.aw_cursor.execute(timezone) schema = "ALTER SESSION SET CURRENT_SCHEMA=APPWORX" self.aw_cursor.execute(schema) if self.last_execution_unix_time: time_filter = "(DATE '1970-01-01' - INTERVAL '8' HOUR) + (%d - 3600) / 86400" % long(self.last_execution_unix_time) else: time_filter = "SYSDATE - %d" % int(self.lookback_period) flow_query = \ """SELECT J.SO_JOB_SEQ, J.SO_APPLICATION, J.SO_MODULE, R.LAST_CHAIN_ID FROM SO_JOB_TABLE J JOIN ( SELECT SO_JOB_SEQ, MAX(SO_CHAIN_ID) as LAST_CHAIN_ID FROM ( SELECT SO_JOB_SEQ, SO_CHAIN_ID FROM SO_JOB_HISTORY WHERE SO_JOB_FINISHED >= %s AND SO_CHILD_COUNT > 0 UNION ALL SELECT SO_JOB_SEQ, SO_CHAIN_ID FROM SO_JOB_QUEUE WHERE SO_STATUS_NAME IN ('INITIATED', 'RUNNING', 'FINISHED') AND SO_CHILD_COUNT > 0 ) GROUP BY SO_JOB_SEQ ) R ON J.SO_JOB_SEQ = R.SO_JOB_SEQ WHERE SO_COMMAND_TYPE = 'CHAIN' ORDER BY 2,3 """ % time_filter job_query = \ """SELECT d.SO_TASK_NAME, d.SO_CHAIN_ORDER, d.SO_PREDECESSORS as PREDECESSORS, d.SO_DET_SEQ as JOB_ID, t.* FROM SO_CHAIN_DETAIL d JOIN SO_JOB_TABLE t ON d.SO_JOB_SEQ = t.SO_JOB_SEQ WHERE d.SO_CHAIN_SEQ = %d ORDER BY d.SO_CHAIN_ORDER """ self.aw_cursor.execute(flow_query) rows = DbUtil.dict_cursor(self.aw_cursor) flow_writer = FileWriter(flow_file) job_writer = FileWriter(job_file) dag_writer = FileWriter(dag_file) row_count = 0 for row in rows: flow_path = row['SO_APPLICATION'] + ":" + row['SO_MODULE'] flow_record = AppworxFlowRecord(self.app_id, long(row['SO_JOB_SEQ']), row['SO_MODULE'], row['SO_APPLICATION'], flow_path, 0, 0, 0, 'Y', self.wh_exec_id) flow_writer.append(flow_record) new_appworx_cursor = self.aw_con.cursor() new_appworx_cursor.execute(job_query % row['SO_JOB_SEQ']) job_rows = DbUtil.dict_cursor(new_appworx_cursor) for job in job_rows: job_record = AppworxJobRecord(self.app_id, long(row['SO_JOB_SEQ']), flow_path, 0, long(job['JOB_ID']), job['SO_TASK_NAME'], flow_path + '/' + job['SO_TASK_NAME'], job['SO_MODULE'], 'Y', self.wh_exec_id) command_type = job['SO_COMMAND_TYPE'] if command_type and command_type == 'CHAIN': job_record.setRefFlowPath(job['SO_APPLICATION'] + ":" + job['SO_MODULE']) job_record.setJobType('CHAIN') job_writer.append(job_record) predecessors_str = job['PREDECESSORS'] if predecessors_str: predecessors = re.findall(r"\&\/(.+?)\s\=\sS", predecessors_str) if predecessors: for predecessor in predecessors: dag_edge = AppworxFlowDagRecord(self.app_id, long(row['SO_JOB_SEQ']), flow_path, 0, flow_path + '/' + predecessor, flow_path + '/' + job['SO_TASK_NAME'], self.wh_exec_id) dag_writer.append(dag_edge) row_count += 1 if row_count % 1000 == 0: flow_writer.flush() job_writer.flush() dag_writer.flush() flow_writer.close() job_writer.close() dag_writer.close()
class MultiproductLoad: def __init__(self): self.logger = LoggerFactory.getLogger('jython script : ' + self.__class__.__name__) requests.packages.urllib3.disable_warnings() self.app_id = int(args[Constant.APP_ID_KEY]) self.wh_exec_id = long(args[Constant.WH_EXEC_ID_KEY]) self.project_writer = FileWriter(args[Constant.GIT_PROJECT_OUTPUT_KEY]) self.repo_writer = FileWriter(args[Constant.PRODUCT_REPO_OUTPUT_KEY]) self.repo_owner_writer = FileWriter(args[Constant.PRODUCT_REPO_OWNER_OUTPUT_KEY]) self.multiproduct = {} self.git_repo = {} self.product_repo = [] def get_multiproducts(self): ''' fetch all products and owners of Multiproduct ''' resp = requests.get(args[Constant.MULTIPRODUCT_SERVICE_URL], verify=False) if resp.status_code != 200: # This means something went wrong. raise Exception('Request Error', 'GET /api/v1/mpl {}'.format(resp.status_code)) # print resp.content re_git_repo_name = re.compile(r":(.*)\.git$") re_svn_repo_name = re.compile(r"/(.*)/trunk$") if resp.headers['content-type'].split(';')[0] == 'application/json': for product_name, product_info in resp.json()['products'].items(): scm_type = product_info["scm"]["name"] try: if scm_type == 'git': repo_fullname = re_git_repo_name.search(product_info["uris"]["trunk"]).group(1) repo_key = 'git:' + repo_fullname elif scm_type == 'svn': repo_fullname = re_svn_repo_name.search(product_info["uris"]["trunk"]).group(1) repo_key = 'svn:' + repo_fullname except: self.logger.debug("Error parsing repo full name {} - {}".format(product_name, product_info["uris"])) continue self.multiproduct[repo_key] = { "scm_repo_fullname": repo_fullname, "scm_type": scm_type, "multiproduct_name": product_name, "product_type": product_info["type"], "namespace": product_info["org"], "owner_name": ",".join(product_info["owners"]), "product_version": product_info["product-version"] } self.logger.info("Fetched {} Multiproducts".format(len(self.multiproduct))) def get_project_repo(self): ''' fetch detail and repos of all git projects ''' re_git_project_name = re.compile(r"(.*)/(.*)$") re_git_repo_name = re.compile(r"git://[\w\.-]+/(.*)\.git$") project_nonexist = [] project_names = {} for key, product in self.multiproduct.iteritems(): if product["scm_type"] == 'svn': continue project_name = re_git_project_name.search(product['scm_repo_fullname']).group(1) if project_name in project_names: continue project_url = '{}/{}?format=xml'.format(args[Constant.GIT_URL_PREFIX], project_name) try: resp = requests.get(project_url, verify=False) except Exception as ex: self.logger.info("Error getting /{}.xml - {}".format(project_name, ex.message)) continue if resp.status_code != 200: # This means something went wrong. self.logger.debug('Request Error: GET /{}.xml {}'.format(project_name, resp.status_code)) project_nonexist.append(project_name) continue # print resp.content if resp.headers['content-type'].split(';')[0] == 'application/xml': xml = ET.fromstring(resp.content) current_project = MultiproductProjectRecord( self.app_id, xml.find('slug').text, 'git', xml.find('owner').attrib['kind'], xml.find('owner').text, xml.find('created-at').text, xml.find('license').text, self.trim_newline(xml.find('description').text), self.wh_exec_id ) project_repo_names = [] for repo in xml.findall('repositories/mainlines/repository'): repo_fullname = re_git_repo_name.search(repo.find('clone_url').text).group(1) project_repo_names.append(repo_fullname) repo_key = 'git:' + repo_fullname self.git_repo[repo_key] = { 'scm_repo_fullname': repo_fullname, 'scm_type': 'git', 'repo_id': repo.find('id').text, 'project': project_name, 'owner_type': repo.find('owner').attrib['kind'], 'owner_name': repo.find('owner').text } project_repo_num = len(project_repo_names) current_project.setRepos(project_repo_num, ','.join(project_repo_names)) self.project_writer.append(current_project) project_names[project_name] = project_repo_num # self.logger.debug("Project: {} - Repos: {}".format(project_name, project_repo_num)) self.project_writer.close() self.logger.info("Finish Fetching git projects and repos") self.logger.debug('Non-exist projects: {}'.format(project_nonexist)) def merge_product_repo(self): ''' merge multiproduct and repo into same product_repo store ''' for key, repo in self.git_repo.iteritems(): record = MultiproductRepoRecord( self.app_id, repo['scm_repo_fullname'], repo['scm_type'], int(repo['repo_id']), repo['project'], repo['owner_type'], repo['owner_name'], self.wh_exec_id ) if key in self.multiproduct: mp = self.multiproduct[key] record.setMultiproductInfo( mp["multiproduct_name"], mp["product_type"], mp["product_version"], mp["namespace"] ) self.repo_writer.append(record) self.product_repo.append(record) for key, product in self.multiproduct.iteritems(): if key not in self.git_repo: record = MultiproductRepoRecord( self.app_id, product["scm_repo_fullname"], product["scm_type"], 0, None, None, product["owner_name"], self.wh_exec_id ) record.setMultiproductInfo( product["multiproduct_name"], product["product_type"], product["product_version"], product["namespace"], ) self.repo_writer.append(record) self.product_repo.append(record) self.repo_writer.close() self.logger.info("Merged products and repos, total {} records".format(len(self.product_repo))) def get_acl_owners(self): ''' fetch owners information from acl ''' re_acl_owners = re.compile(r"owners\:\s*\[([^\[\]]+)\]") re_acl_path = re.compile(r"paths\:\s*\[([^\[\]]+)\]") re_svn_acl_url = re.compile(r'href=\"[\w\/\-]+[\/\:]acl\/([\w\-\/]+)\.acl(\?revision=\d+)&view=markup\"') re_git_acl_url = re.compile(r'href=\"[\w\/\-]+\/source\/([\w\:]*)acl\/([\w\-]+)\.acl\"') owner_count = 0 for repo in self.product_repo: repo_fullname = repo.getScmRepoFullname() scm_type = repo.getScmType() repo_id = repo.getRepoId() if scm_type == "git": repo_url = '{}/{}/source/acl'.format(args[Constant.GIT_URL_PREFIX], repo_fullname) elif scm_type == "svn": repo_url = '{}/{}/acl'.format(args[Constant.SVN_URL_PREFIX], repo_fullname) try: resp = requests.get(repo_url, verify=False) except Exception as ex: self.logger.info("Error getting acl {} - {}".format(repo_url, ex.message)) continue if resp.status_code != 200: self.logger.debug('Request Error: GET repo {} acls - {}'.format(repo, resp.status_code)) continue if resp.headers['content-type'].split(';')[0] == 'text/html': re_acl_url = re_git_acl_url if scm_type == "git" else re_svn_acl_url for acl_url in re_acl_url.finditer(resp.content): if scm_type == "git": acl_name = acl_url.group(2) commit_hash = acl_url.group(1) full_acl_url = '{}/{}/raw/{}acl/{}.acl'.format(args[Constant.GIT_URL_PREFIX], repo_fullname, commit_hash, acl_name) elif scm_type == "svn": acl_name = acl_url.group(1) commit_hash = acl_url.group(2) full_acl_url = '{}/{}.acl{}'.format(repo_url, acl_name, commit_hash) try: resp = requests.get(full_acl_url, verify=False) except Exception as ex: self.logger.info("Error getting acl {} - {}".format(full_acl_url, ex.message)) continue if resp.status_code != 200: self.logger.debug('Request Error: GET acl {} - {}'.format(full_acl_url, resp.status_code)) continue owners_string = re_acl_owners.search(resp.content) path_string = re_acl_path.search(resp.content) if owners_string: owners = self.parse_owners(owners_string.group(1)) paths = self.trim_path(path_string.group(1)) if path_string else None sort_id = 0 for owner in owners: owner_record = MultiproductRepoOwnerRecord( self.app_id, repo_fullname, scm_type, repo_id, acl_name.title(), owner, sort_id, paths, self.wh_exec_id ) self.repo_owner_writer.append(owner_record) sort_id += 1 owner_count += 1 # self.logger.debug('{} - {} owners: {}'.format(repo_fullname, acl_name, len(owners))) self.repo_owner_writer.close() self.logger.info('Finish Fetching acl owners, total {} records'.format(owner_count)) def trim_newline(self, line): return line.replace('\n', ' ').replace('\r', ' ').encode('ascii', 'ignore') if line else None def trim_path(self, line): return line.strip().replace('\n', ' ').replace('\r', ' ').replace(''', "'") def parse_owners(self, line): elements = [s.strip() for l in line.splitlines() for s in l.split(',')] return [x for x in elements if x and not x.startswith('#')] def run(self): begin = datetime.datetime.now().strftime("%H:%M:%S") self.get_multiproducts() self.get_project_repo() self.merge_product_repo() mid = datetime.datetime.now().strftime("%H:%M:%S") self.logger.info("Finish getting multiproducts and repos [{} -> {}]".format(str(begin), str(mid))) self.get_acl_owners() end = datetime.datetime.now().strftime("%H:%M:%S") self.logger.info("Extract Multiproduct and gitli metadata [{} -> {}]".format(str(begin), str(end)))
def transform(self, input, hive_instance, hive_metadata, hive_field_metadata, view_dependency): """ convert from json to csv :param input: input json file :param hive_instance: output data file for hive instance :param hive_metadata: output data file for hive table metadata :param hive_field_metadata: output data file for hive field metadata :return: """ all_data = [] with open(input) as input_file: for line in input_file: all_data.append(json.loads(line)) dataset_idx = -1 instance_file_writer = FileWriter(hive_instance) schema_file_writer = FileWriter(hive_metadata) field_file_writer = FileWriter(hive_field_metadata) dependency_file_writer = FileWriter(view_dependency) depends_sql = """ SELECT d.NAME DB_NAME, case when t.TBL_NAME regexp '_[0-9]+_[0-9]+_[0-9]+$' then concat(substring(t.TBL_NAME, 1, length(t.TBL_NAME) - length(substring_index(t.TBL_NAME, '_', -3)) - 1),'_{version}') else t.TBL_NAME end dataset_name, concat('/', d.NAME, '/', t.TBL_NAME) object_name, case when (d.NAME like '%\_mp' or d.NAME like '%\_mp\_versioned') and d.NAME not like 'dalitest%' and t.TBL_TYPE = 'VIRTUAL_VIEW' then 'dalids' else 'hive' end object_type, case when (d.NAME like '%\_mp' or d.NAME like '%\_mp\_versioned') and d.NAME not like 'dalitest%' and t.TBL_TYPE = 'VIRTUAL_VIEW' then 'View' else case when LOCATE('view', LOWER(t.TBL_TYPE)) > 0 then 'View' when LOCATE('index', LOWER(t.TBL_TYPE)) > 0 then 'Index' else 'Table' end end object_sub_type, case when (d.NAME like '%\_mp' or d.NAME like '%\_mp\_versioned') and t.TBL_TYPE = 'VIRTUAL_VIEW' then 'dalids' else 'hive' end prefix FROM TBLS t JOIN DBS d on t.DB_ID = d.DB_ID WHERE d.NAME = '{db_name}' and t.TBL_NAME = '{table_name}' """ # one db info : 'type', 'database', 'tables' # one table info : required : 'name' , 'type', 'serializationFormat' ,'createTime', 'DB_ID', 'TBL_ID', 'SD_ID' # optional : 'schemaLiteral', 'schemaUrl', 'fieldDelimiter', 'fieldList' for one_db_info in all_data: i = 0 for table in one_db_info['tables']: i += 1 schema_json = {} prop_json = {} # set the prop json for prop_name in TableInfo.optional_prop: if prop_name in table and table[prop_name] is not None: prop_json[prop_name] = table[prop_name] view_expanded_text = '' if TableInfo.view_expended_text in prop_json: view_expanded_text = prop_json[TableInfo.view_expended_text] text = prop_json[TableInfo.view_expended_text].replace('`', '') # this will be fixed after switching to Hive AST array = [] try: array = HiveViewDependency.getViewDependency(text) except: self.logger.error("HiveViewDependency.getViewDependency(%s) failed!" % (table['name'])) l = [] for a in array: l.append(a) names = str(a).split('.') if names and len(names) >= 2: db_name = names[0].lower() table_name = names[1].lower() if db_name and table_name: self.curs.execute(depends_sql.format(db_name=db_name, table_name=table_name, version='{version}')) rows = self.curs.fetchall() self.conn_hms.commit() if rows and len(rows) > 0: for row_index, row_value in enumerate(rows): dependent_record = HiveDependencyInstanceRecord( one_db_info['type'], table['type'], "/%s/%s" % (one_db_info['database'], table['name']), 'dalids:///' + one_db_info['database'] + '/' + table['dataset_name'] if one_db_info['type'].lower() == 'dalids' else 'hive:///' + one_db_info['database'] + '/' + table['dataset_name'], 'depends on', 'Y', row_value[3], row_value[4], row_value[2], row_value[5] + ':///' + row_value[0] + '/' + row_value[1], '') dependency_file_writer.append(dependent_record) prop_json['view_depends_on'] = l dependency_file_writer.flush() # process either schema flds = {} field_detail_list = [] if TableInfo.schema_literal in table and \ table[TableInfo.schema_literal] is not None and \ table[TableInfo.schema_literal].startswith('{'): sort_id = 0 urn = "hive:///%s/%s" % (one_db_info['database'], table['dataset_name']) self.logger.info("Getting schema literal for: %s" % (urn)) try: schema_data = json.loads(table[TableInfo.schema_literal]) schema_json = schema_data acp = AvroColumnParser(schema_data, urn = urn) result = acp.get_column_list_result() field_detail_list += result except ValueError: self.logger.error("Schema Literal JSON error for table: " + str(table)) elif TableInfo.field_list in table: # Convert to avro uri = "hive:///%s/%s" % (one_db_info['database'], table['dataset_name']) if one_db_info['type'].lower() == 'dalids': uri = "dalids:///%s/%s" % (one_db_info['database'], table['dataset_name']) else: uri = "hive:///%s/%s" % (one_db_info['database'], table['dataset_name']) self.logger.info("Getting column definition for: %s" % (uri)) try: hcp = HiveColumnParser(table, urn = uri) schema_json = {'fields' : hcp.column_type_dict['fields'], 'type' : 'record', 'name' : table['name'], 'uri' : uri} field_detail_list += hcp.column_type_list except: self.logger.error("HiveColumnParser(%s) failed!" % (uri)) schema_json = {'fields' : {}, 'type' : 'record', 'name' : table['name'], 'uri' : uri} if one_db_info['type'].lower() == 'dalids': dataset_urn = "dalids:///%s/%s" % (one_db_info['database'], table['dataset_name']) else: dataset_urn = "hive:///%s/%s" % (one_db_info['database'], table['dataset_name']) dataset_instance_record = DatasetInstanceRecord('dalids:///' + one_db_info['database'] + '/' + table['name'] if one_db_info['type'].lower() == 'dalids' else 'hive:///' + one_db_info['database'] + '/' + table['name'], 'grid', '', '', '*', True, table['native_name'], table['logical_name'], table['version'], table['create_time'], json.dumps(schema_json), json.dumps(view_expanded_text), dataset_urn) instance_file_writer.append(dataset_instance_record) if dataset_urn not in self.dataset_dict: dataset_scehma_record = DatasetSchemaRecord(table['dataset_name'], json.dumps(schema_json), json.dumps(prop_json), json.dumps(flds), dataset_urn, 'Hive', one_db_info['type'], table['type'], '', table.get(TableInfo.create_time), (int(table.get(TableInfo.source_modified_time,"0")))) schema_file_writer.append(dataset_scehma_record) dataset_idx += 1 self.dataset_dict[dataset_urn] = dataset_idx for fields in field_detail_list: field_record = DatasetFieldRecord(fields) field_file_writer.append(field_record) instance_file_writer.flush() schema_file_writer.flush() field_file_writer.flush() self.logger.info("%20s contains %6d tables" % (one_db_info['database'], i)) instance_file_writer.close() schema_file_writer.close() field_file_writer.close() dependency_file_writer.close()
def transform(self, input, hive_metadata, hive_field_metadata): """ convert from json to csv :param input: input json file :param hive_metadata: output data file for hive table metadata :param hive_field_metadata: output data file for hive field metadata :return: """ f_json = open(input) all_data = json.load(f_json) f_json.close() schema_file_writer = FileWriter(hive_metadata) field_file_writer = FileWriter(hive_field_metadata) lineageInfo = LineageInfo() # one db info : 'type', 'database', 'tables' # one table info : required : 'name' , 'type', 'serializationFormat' ,'createTime', 'DB_ID', 'TBL_ID', 'SD_ID' # optional : 'schemaLiteral', 'schemaUrl', 'fieldDelimiter', 'fieldList' for one_db_info in all_data: i = 0 for table in one_db_info['tables']: i += 1 schema_json = {} prop_json = {} # set the prop json for prop_name in TableInfo.optional_prop: if prop_name in table and table[prop_name] is not None: prop_json[prop_name] = table[prop_name] if TableInfo.view_expended_text in prop_json: text = prop_json[TableInfo.view_expended_text].replace('`', '') array = HiveViewDependency.getViewDependency(text) l = [] for a in array: l.append(a) prop_json['view_depends_on'] = l # process either schema flds = {} field_detail_list = [] if TableInfo.schema_literal in table and table[TableInfo.schema_literal] is not None: sort_id = 0 urn = "hive:///%s/%s" % (one_db_info['database'], table['name']) try: schema_data = json.loads(table[TableInfo.schema_literal]) schema_json = schema_data acp = AvroColumnParser(schema_data, urn = urn) result = acp.get_column_list_result() field_detail_list += result except ValueError: self.logger.error("Schema json error for table : \n" + str(table)) elif TableInfo.field_list in table: # Convert to avro uri = "hive:///%s/%s" % (one_db_info['database'], table['name']) hcp = HiveColumnParser(table, urn = uri) schema_json = {'fields' : hcp.column_type_dict['fields'], 'type' : 'record', 'name' : table['name'], 'uri' : uri} field_detail_list += hcp.column_type_list dataset_scehma_record = DatasetSchemaRecord(table['name'], json.dumps(schema_json), json.dumps(prop_json), json.dumps(flds), "hive:///%s/%s" % (one_db_info['database'], table['name']), 'Hive', '', (table[TableInfo.create_time] if table.has_key( TableInfo.create_time) else None), (table["lastAlterTime"]) if table.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 tables" % (one_db_info['database'], i)) schema_file_writer.close() field_file_writer.close()
def transform(self, input, hive_metadata, hive_field_metadata): """ convert from json to csv :param input: input json file :param hive_metadata: output data file for hive table metadata :param hive_field_metadata: output data file for hive field metadata :return: """ f_json = open(input) all_data = json.load(f_json) f_json.close() schema_file_writer = FileWriter(hive_metadata) field_file_writer = FileWriter(hive_field_metadata) lineageInfo = LineageInfo() depends_sql = """ SELECT d.NAME DB_NAME, case when t.TBL_NAME regexp '_[0-9]+_[0-9]+_[0-9]+$' then concat(substring(t.TBL_NAME, 1, length(t.TBL_NAME) - length(substring_index(t.TBL_NAME, '_', -3)) - 1),'_{version}') else t.TBL_NAME end dataset_name, concat('/', d.NAME, '/', t.TBL_NAME) object_name, case when (d.NAME like '%\_mp' or d.NAME like '%\_mp\_versioned') and d.NAME not like 'dalitest%' and t.TBL_TYPE = 'VIRTUAL_VIEW' then 'dalids' else 'hive' end object_type, case when (d.NAME like '%\_mp' or d.NAME like '%\_mp\_versioned') and d.NAME not like 'dalitest%' and t.TBL_TYPE = 'VIRTUAL_VIEW' then 'View' else case when LOCATE('view', LOWER(t.TBL_TYPE)) > 0 then 'View' when LOCATE('index', LOWER(t.TBL_TYPE)) > 0 then 'Index' else 'Table' end end object_sub_type, case when (d.NAME like '%\_mp' or d.NAME like '%\_mp\_versioned') and t.TBL_TYPE = 'VIRTUAL_VIEW' then 'dalids' else 'hive' end prefix FROM TBLS t JOIN DBS d on t.DB_ID = d.DB_ID WHERE d.NAME = '{db_name}' and t.TBL_NAME = '{table_name}' """ # one db info : 'type', 'database', 'tables' # one table info : required : 'name' , 'type', 'serializationFormat' ,'createTime', 'DB_ID', 'TBL_ID', 'SD_ID' # optional : 'schemaLiteral', 'schemaUrl', 'fieldDelimiter', 'fieldList' for one_db_info in all_data: i = 0 for table in one_db_info['tables']: i += 1 schema_json = {} prop_json = {} # set the prop json for prop_name in TableInfo.optional_prop: if prop_name in table and table[prop_name] is not None: prop_json[prop_name] = table[prop_name] if TableInfo.view_expended_text in prop_json: text = prop_json[TableInfo.view_expended_text].replace('`', '') array = HiveViewDependency.getViewDependency(text) l = [] for a in array: l.append(a) names = str(a).split('.') if names and len(names) >= 2: db_name = names[0] table_name = names[1] if db_name and table_name: rows = [] self.curs.execute(depends_sql.format(db_name=db_name, table_name=table_name, version='{version}')) rows = self.curs.fetchall() if rows and len(rows) > 0: for row_index, row_value in enumerate(rows): dependent_record = HiveDependencyInstanceRecord( one_db_info['type'], table['type'], "/%s/%s" % (one_db_info['database'], table['name']), 'dalids:///' + one_db_info['database'] + '/' + table['name'] if one_db_info['type'].lower() == 'dalids' else 'hive:///' + one_db_info['database'] + '/' + table['name'], 'depends on', 'is used by', row_value[3], row_value[4], row_value[2], row_value[5] + ':///' + row_value[0] + '/' + row_value[1], '') self.instance_writer.append(dependent_record) prop_json['view_depends_on'] = l self.instance_writer.flush() # process either schema flds = {} field_detail_list = [] if TableInfo.schema_literal in table and table[TableInfo.schema_literal] is not None: sort_id = 0 urn = "hive:///%s/%s" % (one_db_info['database'], table['name']) try: schema_data = json.loads(table[TableInfo.schema_literal]) schema_json = schema_data acp = AvroColumnParser(schema_data, urn = urn) result = acp.get_column_list_result() field_detail_list += result except ValueError: self.logger.error("Schema json error for table : \n" + str(table)) elif TableInfo.field_list in table: # Convert to avro uri = "hive:///%s/%s" % (one_db_info['database'], table['name']) if one_db_info['type'].lower() == 'dalids': uri = "dalids:///%s/%s" % (one_db_info['database'], table['name']) else: uri = "hive:///%s/%s" % (one_db_info['database'], table['name']) hcp = HiveColumnParser(table, urn = uri) schema_json = {'fields' : hcp.column_type_dict['fields'], 'type' : 'record', 'name' : table['name'], 'uri' : uri} field_detail_list += hcp.column_type_list if one_db_info['type'].lower() == 'dalids': dataset_urn = "dalids:///%s/%s" % (one_db_info['database'], table['name']) else: dataset_urn = "hive:///%s/%s" % (one_db_info['database'], table['name']) dataset_scehma_record = DatasetSchemaRecord(table['name'], json.dumps(schema_json), json.dumps(prop_json), json.dumps(flds), dataset_urn, 'Hive', one_db_info['type'], table['type'], '', (table[TableInfo.create_time] if table.has_key( TableInfo.create_time) else None), (table["lastAlterTime"]) if table.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 tables" % (one_db_info['database'], i)) schema_file_writer.close() field_file_writer.close()
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 collect_flow_jobs(self, flow_file, job_file, dag_file): self.logger.info("collect flow&jobs") flow_writer = FileWriter(flow_file) job_writer = FileWriter(job_file) dag_writer = FileWriter(dag_file) query = """ SELECT a.*, b.created_time FROM (SELECT w.app_name, w.app_path, max(w.id) as source_version, max(unix_timestamp(w.last_modified_time)) as last_modified_time from WF_JOBS w LEFT JOIN WF_JOBS s ON w.app_path = s.app_path AND w.created_time < s.created_time WHERE s.created_time IS NULL GROUP BY w.app_name, w.app_path) a JOIN (SELECT app_path, min(unix_timestamp(created_time)) as created_time FROM WF_JOBS GROUP BY app_path) b ON a.app_path = b.app_path """ self.oz_cursor.execute(query) rows = DbUtil.dict_cursor(self.oz_cursor) for row in rows: flow_record = OozieFlowRecord(self.app_id, row['app_name'], row['app_path'], 0, row['source_version'], row['created_time'], row['last_modified_time'], self.wh_exec_id) flow_writer.append(flow_record) query = """ select name, type, transition from WF_ACTIONS where wf_id = '{source_version}' """.format(source_version=row['source_version']) new_oz_cursor = self.oz_con.cursor() new_oz_cursor.execute(query) nodes = DbUtil.dict_cursor(new_oz_cursor) for node in nodes: job_record = OozieJobRecord(self.app_id, row['app_path'], row['source_version'], node['name'], row['app_path'] + "/" + node['name'], node['type'], self.wh_exec_id) job_writer.append(job_record) if node['transition'] != "*" and node['transition'] is not None: dag_edge = OozieFlowDagRecord(self.app_id, row['app_path'], row['source_version'], row['app_path'] + "/" + node['name'], row['app_path'] + "/" + node['transition'], self.wh_exec_id) dag_writer.append(dag_edge) new_oz_cursor.close() dag_writer.close() job_writer.close() flow_writer.close()
class HiveTransform: dataset_dict = {} def __init__(self): self.logger = LoggerFactory.getLogger('jython script : ' + self.__class__.__name__) username = args[Constant.HIVE_METASTORE_USERNAME] password = args[Constant.HIVE_METASTORE_PASSWORD] jdbc_driver = args[Constant.HIVE_METASTORE_JDBC_DRIVER] jdbc_url = args[Constant.HIVE_METASTORE_JDBC_URL] self.conn_hms = zxJDBC.connect(jdbc_url, username, password, jdbc_driver) self.curs = self.conn_hms.cursor() dependency_instance_file = args[Constant.HIVE_DEPENDENCY_CSV_FILE_KEY] self.instance_writer = FileWriter(dependency_instance_file) def transform(self, input, hive_instance, hive_metadata, hive_field_metadata): """ convert from json to csv :param input: input json file :param hive_metadata: output data file for hive table metadata :param hive_field_metadata: output data file for hive field metadata :return: """ f_json = open(input) all_data = json.load(f_json) f_json.close() dataset_idx = -1 instance_file_writer = FileWriter(hive_instance) schema_file_writer = FileWriter(hive_metadata) field_file_writer = FileWriter(hive_field_metadata) lineageInfo = LineageInfo() depends_sql = """ SELECT d.NAME DB_NAME, case when t.TBL_NAME regexp '_[0-9]+_[0-9]+_[0-9]+$' then concat(substring(t.TBL_NAME, 1, length(t.TBL_NAME) - length(substring_index(t.TBL_NAME, '_', -3)) - 1),'_{version}') else t.TBL_NAME end dataset_name, concat('/', d.NAME, '/', t.TBL_NAME) object_name, case when (d.NAME like '%\_mp' or d.NAME like '%\_mp\_versioned') and d.NAME not like 'dalitest%' and t.TBL_TYPE = 'VIRTUAL_VIEW' then 'dalids' else 'hive' end object_type, case when (d.NAME like '%\_mp' or d.NAME like '%\_mp\_versioned') and d.NAME not like 'dalitest%' and t.TBL_TYPE = 'VIRTUAL_VIEW' then 'View' else case when LOCATE('view', LOWER(t.TBL_TYPE)) > 0 then 'View' when LOCATE('index', LOWER(t.TBL_TYPE)) > 0 then 'Index' else 'Table' end end object_sub_type, case when (d.NAME like '%\_mp' or d.NAME like '%\_mp\_versioned') and t.TBL_TYPE = 'VIRTUAL_VIEW' then 'dalids' else 'hive' end prefix FROM TBLS t JOIN DBS d on t.DB_ID = d.DB_ID WHERE d.NAME = '{db_name}' and t.TBL_NAME = '{table_name}' """ # one db info : 'type', 'database', 'tables' # one table info : required : 'name' , 'type', 'serializationFormat' ,'createTime', 'DB_ID', 'TBL_ID', 'SD_ID' # optional : 'schemaLiteral', 'schemaUrl', 'fieldDelimiter', 'fieldList' for one_db_info in all_data: i = 0 for table in one_db_info['tables']: i += 1 schema_json = {} prop_json = {} # set the prop json for prop_name in TableInfo.optional_prop: if prop_name in table and table[prop_name] is not None: prop_json[prop_name] = table[prop_name] view_expanded_text = '' if TableInfo.view_expended_text in prop_json: view_expanded_text = prop_json[TableInfo.view_expended_text] text = prop_json[TableInfo.view_expended_text].replace('`', '') array = HiveViewDependency.getViewDependency(text) l = [] for a in array: l.append(a) names = str(a).split('.') if names and len(names) >= 2: db_name = names[0].lower() table_name = names[1].lower() if db_name and table_name: rows = [] self.curs.execute(depends_sql.format(db_name=db_name, table_name=table_name, version='{version}')) rows = self.curs.fetchall() if rows and len(rows) > 0: for row_index, row_value in enumerate(rows): dependent_record = HiveDependencyInstanceRecord( one_db_info['type'], table['type'], "/%s/%s" % (one_db_info['database'], table['name']), 'dalids:///' + one_db_info['database'] + '/' + table['dataset_name'] if one_db_info['type'].lower() == 'dalids' else 'hive:///' + one_db_info['database'] + '/' + table['dataset_name'], 'depends on', 'Y', row_value[3], row_value[4], row_value[2], row_value[5] + ':///' + row_value[0] + '/' + row_value[1], '') self.instance_writer.append(dependent_record) prop_json['view_depends_on'] = l self.instance_writer.flush() # process either schema flds = {} field_detail_list = [] if TableInfo.schema_literal in table and \ table[TableInfo.schema_literal] is not None and \ table[TableInfo.schema_literal].startswith('{'): sort_id = 0 urn = "hive:///%s/%s" % (one_db_info['database'], table['dataset_name']) self.logger.info("Getting schema literal for: %s" % (urn)) try: schema_data = json.loads(table[TableInfo.schema_literal]) schema_json = schema_data acp = AvroColumnParser(schema_data, urn = urn) result = acp.get_column_list_result() field_detail_list += result except ValueError: self.logger.error("Schema Literal JSON error for table: " + str(table)) elif TableInfo.field_list in table: # Convert to avro uri = "hive:///%s/%s" % (one_db_info['database'], table['dataset_name']) if one_db_info['type'].lower() == 'dalids': uri = "dalids:///%s/%s" % (one_db_info['database'], table['dataset_name']) else: uri = "hive:///%s/%s" % (one_db_info['database'], table['dataset_name']) self.logger.info("Getting column definition for: %s" % (uri)) hcp = HiveColumnParser(table, urn = uri) schema_json = {'fields' : hcp.column_type_dict['fields'], 'type' : 'record', 'name' : table['name'], 'uri' : uri} field_detail_list += hcp.column_type_list if one_db_info['type'].lower() == 'dalids': dataset_urn = "dalids:///%s/%s" % (one_db_info['database'], table['dataset_name']) else: dataset_urn = "hive:///%s/%s" % (one_db_info['database'], table['dataset_name']) dataset_instance_record = DatasetInstanceRecord('dalids:///' + one_db_info['database'] + '/' + table['name'] if one_db_info['type'].lower() == 'dalids' else 'hive:///' + one_db_info['database'] + '/' + table['name'], 'grid', 'eat1', 'eat1-nertz', '*', 0, table['native_name'], table['logical_name'], table['version'], table['create_time'], json.dumps(schema_json), json.dumps(view_expanded_text), dataset_urn) instance_file_writer.append(dataset_instance_record) if dataset_urn not in self.dataset_dict: dataset_scehma_record = DatasetSchemaRecord(table['dataset_name'], json.dumps(schema_json), json.dumps(prop_json), json.dumps(flds), dataset_urn, 'Hive', one_db_info['type'], table['type'], '', (table[TableInfo.create_time] if table.has_key( TableInfo.create_time) else None), (table["lastAlterTime"]) if table.has_key("lastAlterTime") else None) schema_file_writer.append(dataset_scehma_record) dataset_idx += 1 self.dataset_dict[dataset_urn] = dataset_idx for fields in field_detail_list: field_record = DatasetFieldRecord(fields) field_file_writer.append(field_record) instance_file_writer.flush() schema_file_writer.flush() field_file_writer.flush() self.logger.info("%20s contains %6d tables" % (one_db_info['database'], i)) instance_file_writer.close() 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")))