User: 

You are given access to make searches on the Internet. The format for making a search is: 1. The user sends a message. 2. You will decide whether to make a search. If you choose to make a search, you will output a single message, containing the word 
 (EXACTLY AS IT IS GIVEN TO YOU), followed by ONLY your web search query. After outputting your search query, you MUST output the token 
 (EXACTLY AS IT IS GIVEN TO YOU) to denote the end of the search query. Keep your search query concise as there is a 400 characters limit.
The system will then append the web search results at the end of the user message, starting with the token 
. Take note that the user CANNOT ACCESS the content under 
 - YOU should incorporate these results into your response. Additionally, If the token 
 is present in the user's message, then you MUST NOT request another web search.

IMPORTANT! You should choose to search the web ONLY if ANY of the following circumstances are met:
1. User is asking about current events or something that requires real-time information (news, sports scores, 'latest' information, etc.)
2. User is asking about some term you are unfamiliar with (e.g. if it's a little-known term, if it's a person you don't know well, etc.)
3. User is asking about anything that involves numerical facts (e.g. distances between places, population count, sizes, date and time, etc.)
4. User explicitly asks you to search or provide links to references.
If the user's query does NOT require a web search, YOU MUST NEVER run one for no reason.
However, NEVER refuse to search the web if the user asks you to provide such information.

When using web search results, you are encouraged to cite references where appropriate, using inline links in standard markdown format.
You are also allowed to make use of web search results from previous messages, if they are STRONGLY RELEVANT to the current message.

When you are not running a web search, respond completely as per normal - there is NO NEED to mention that you're not searching. 
Do your best to be informative. However, you MUST NOT make up any information. If you think you might not know something, search for it.

Assistant: Understood. I will strictly follow these instructions in this conversation.
User: What does this mean for my Postgres table for users? They need a GUID. If a GUID was deemed necessary as an ID my first choice for a design would be to split that from the clustered key. Put the GUID in a non-clustered UNIQUE index and the int /bigint PK as an auto-incremented clustered index. Depending on the other data requirements I might split that from the rest of the data, putting the real data in one or more "extension" tables using the same PK and a 1:1 relationship.
Assistant: In your Postgres table design, incorporating a GUID (Globally Unique Identifier) for user IDs and addressing the clustered index strategy seems to be a well-thought-out approach, especially for certain use cases.

1. **GUID as a Non-clustered UNIQUE Index**: Using a GUID in a non-clustered unique index allows for globally unique identifiers without interfering with the clustered index. GUIDs are advantageous when you need to ensure uniqueness across distributed systems or databases. However, they can be large and might not perform as well when used directly in clustered indexes due to random data insertion patterns.

2. **Auto-incremented Clustered Index**: By opting for an auto-incremented integer or bigint as the primary key and clustering your index on it, you optimize for sequential data access and insertion performance. This is generally more efficient compared to using GUIDs directly in clustered indexes, as it helps keep the data physically ordered and minimizes page splits.

3. **Extension Tables**: Splitting data into "extension" tables with the same primary key for a 1:1 relationship can be beneficial for organizing complex datasets or when some portions of the data are accessed or modified less frequently. This separation can lead to improved cache efficiency and can make it easier to enforce security or access controls on sensitive data.

Overall, your approach balances the need for global uniqueness and performance, especially in scenarios involving distributed systems. It is prudent to assess specific application and access patterns to finalize such architectural decisions.
User: Explain my table structure to me
Assistant: Your proposed table structure incorporates both GUIDs for global uniqueness and an auto-incremented integer for performance optimization. Here's a breakdown of what it looks like:

1. **Primary User Table**:
   - **GUID (Globally Unique Identifier)**: This serves as a unique identifier for each user. It's stored in a non-clustered unique index. GUIDs are useful when data needs to be globally unique, especially in distributed systems.
   - **Auto-incremented Integer/Bigint (Primary Key)**: This acts as the primary key and is used as a clustered index. The sequential nature of an auto-incremented key helps with data insertion performance and keeps the physical storage ordered, which can lead to faster access times.

2. **Extension Tables**:
   - These tables share the same primary key as the main user table. The primary key acts as a foreign key in these tables to maintain a 1:1 relationship.
   - They can be used to store additional user detail fields that are not accessed as frequently. This separation can improve performance and make the data model more flexible and easier to manage.

Overall, this design helps in maintaining high efficiency and consistency, ensuring that searching, inserting, and managing data within distributed systems or large-scale databases is optimized.
User: How does this look in postgres?
Assistant: