使用時間歷程日誌

時間旅行記錄檔是逗號分隔值 (CSV) 檔案，其中包含以下欄位。

log_timestamp 
component 
dms_source_code_location 
transaction_id 
event_id 
event_timestamp 
lsn/scn 
primary_key
record_type 
event_type 
schema_name 
table_name 
statement 
action 
result 
raw_data

在 S3 提供時間歷程日誌之後，您可以使用 Amazon Athena 等工具直接存取和查詢這些記錄。或者，您可以從 S3 下載任何檔案的日誌。

以下範例顯示「時間歷程」日誌，其中會記錄名為 mytable 資料表的交易。為了方便閱讀，下列日誌會新增行尾。

"log_timestamp ","tt_record_type","dms_source_code_location ","transaction_id",
"event_id","event_timestamp","scn_lsn","primary_key","record_type","event_type",
"schema_name","table_name","statement","action","result","raw_data"
"2021-09-23T01:03:00:778230","SOURCE_CAPTURE","postgres_endpoint_wal_engine.c:00819",
"609284109","565612992","2021-09-23 01:03:00.765321+00","00000E9C/D53AB518","","DML",
"UPDATE (3)","dmstest","mytable","","Migrate","","table dmstest.mytable:
UPDATE: id[bigint]:2244937 phone_number[character varying]:'phone-number-482'
age[integer]:82 gender[character]:'f' isactive[character]:'true ' 
date_of_travel[timestamp without time zone]:'2021-09-23 01:03:00.76593' 
description[text]:'TEST DATA TEST DATA TEST DATA TEST DATA'"