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data_type = "string"
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print " Inline column:" + column_name
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else:
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child_table_name = table_name
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column_name = field['key']
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if child_table_name not in table_columns:
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table_columns[child_table_name] = set()
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if child_table_name != table_name:
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table_columns[child_table_name].add("%s %s" % ("parent_hash_code", "string"))
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table_columns[child_table_name].add("%s %s" % ("hash_code", "string"))
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table_columns[child_table_name].add("`%s` %s" % (column_name, data_type))
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for table_name, columns in table_columns.iteritems():
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sql = "create table `%s` (%s) ROW FORMAT SERDE 'com.cloudera.hive.serde.JSONSerDe' " % (table_name, ",".join(columns))
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self.execute_sql(database_name, sql)
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return table_columns.keys()
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def update_table(self, database_name, table_name, schema_fields):
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# current columns
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table_names = self.list_tables(database_name, table_name)
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current_table_columns = {}
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for table_name in table_names:
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current_columns = {}
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current_schema = self.get_table_schema(database_name, table_name)
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for field in current_schema:
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current_columns[field['key']] = field['data_type']
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current_table_columns[table_name] = current_columns
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# used to keep track of table_name -> column list
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new_table_columns = {}
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alter_sqls = []
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modify_instructions = {}
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for field in schema_fields:
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# print "processing field %s" % str(field)
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sql_data_type = None
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if field['data_type'] == 'string':
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sql_data_type = 'string'
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elif field['data_type'] in ('timestamp', 'boolean'):
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sql_data_type = field['type']
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elif field['data_type'] == 'float':
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sql_data_type = 'double'
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elif field['data_type'] == 'integer':
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sql_data_type = 'int'
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elif field['data_type'] in ('record'):
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# ignore record
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pass
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else:
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raise Exception("Unsupported data type %s for column %s" % (field['data_type'], field['key']))
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if sql_data_type is not None:
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if field['mode'] == 'repeated':
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child_table_name = table_name + "_" + re.sub("[^0-9a-zA-Z_]", '_', field['key']).lower()
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column_name = "value"
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else:
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if "." in field['key']:
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child_table_name = table_name + "_" + re.sub("[^0-9a-zA-Z_]", '_', field['key'].rsplit(".",1)[0]).lower()
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column_name = field['key'].rsplit(".",1)[1]
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else:
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child_table_name = table_name
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column_name = field['key']
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# print "column name %s" % column_name
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if child_table_name in current_table_columns:
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current_columns = current_table_columns[child_table_name]
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if column_name in current_columns:
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print " column %s found in current table schema." % column_name
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if field['data_type'].lower() != current_columns[column_name].lower():
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print " but data type is different. new: %s old: %s" % (field['data_type'], current_columns[column_name])
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if child_table_name not in modify_instructions:
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modify_instructions[child_table_name] = {}
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modify_instructions[child_table_name][column_name] = sql_data_type
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else:
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print " data type is same.. no-op."
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pass
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else:
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print " column %s not found in current table schema." % column_name
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alter_sqls.append ("alter table `%s` add columns (`%s` %s)" % (child_table_name, column_name, sql_data_type))
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else:
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# new table needed
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if child_table_name not in new_table_columns:
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new_table_columns[child_table_name] = []
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new_table_columns[child_table_name].append("%s %s" % ("parent_hash_code", "string"))
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new_table_columns[child_table_name].append("%s %s" % ("hash_code", "string"))
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new_table_columns[child_table_name].append("`%s` %s" % (column_name, sql_data_type))
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# generate sqls to modify column data type
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modify_sqls = []
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for child_table_name, modify_columns in modify_instructions.iteritems():
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for modify_column_name, data_type in modify_columns.iteritems():
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modify_sqls.append("alter table `%s` change `%s` `%s` %s" % (child_table_name, modify_column_name, modify_column_name, data_type))
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