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[skip ci] fix some writing problems (#7692)

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Signed-off-by: min.tian <min.tian.cn@gmail.com>
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docs/developer_guides/chap01_system_overview.md
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@ -62,9 +62,9 @@ Note that not all the components are necessarily replicated. The system provides
Data in Milvus have three different forms, namely WAL, binlog, and index. As mentioned in the previous section, WAL can be viewed as a determined operation stream. Other two data forms keep themselves up to date by performing the operation stream in time order.
Each of the WAL is attached with a timestamp, which is the time when the log is sent to the hash bucket. Binlog records, table rows, index cells will also keep that timestamp. In this way, different data forms can offer consistent snapshot for a given time T. For example, requests such as "fetch binlogs before T for point-in-time recovery", "get the row with primary key K at time T", "launch a similarity search at time T for vector V" perform on binlog, index respectively. Though different data forms these three requests are performed, they observe identical snapshot, namely all the state changes before T.
Each of the WAL is attached with a timestamp, which is the time when the log is sent to the hash bucket. Binlog records, table rows, index cells will also keep that timestamp. In this way, different data forms can offer consistent snapshots for a given time T. For example, requests such as "fetch binlogs before T for point-in-time recovery", "get the row with primary key K at time T", "launch a similarity search at time T for vector V" perform on binlog, index respectively. Though different data forms these three requests are performed, they observe identical snapshots, namely all the state changes before T.
For better throughput, Milvus allows asynchronous state synchronization between WAL and index/binlog/table. Whenever the data is not fresh enough to satisfiy a query, the query will be suspended until the data is up-to-date, or timeout will be returned.
For better throughput, Milvus allows asynchronous state synchronization between WAL and index/binlog/table. Whenever the data is not fresh enough to satisfy a query, the query will be suspended until the data is up-to-date, or timeout will be returned.