HiveSQL Upate - Changes to the Internal Market tables
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I am actively continuing the work of [reorganizing the HiveSQL database](/hive-139531/@arcange/hivesql-update-20210511) that I started a few days ago. Lately, I tackled the tables related to the internal market.
There are two operations associated with it: the creation of orders (buy or sell) and their cancellation. However, until now, these two operations were grouped together in a single table, which could cause confusion, but also wasted storage resources.
### What changed?
* A new `TxLimitOrdersCancels` table has been created and cancel orders have been moved from the table `TxLimitOrders` to `TxLimitOrdersCancels`
* The table `TxLimitOrders` (purged from the cancel orders) has been renamed to `TxLimitOrdersCreates`
Therefore, we now have two new tables available:
**TxLimitOrdersCreates**
This table contains operations broadcasted to the blockchain when users want to buy or sell assets on the internal market.
|Column|Description|
|-|-|
|owner|account who filled a limit order|
|orderid|an order ID defined by the owner. It must be unique|
|amount_to_sell|amount of asset|
|amount_to_sell_symbol|symbol of the asset|
|min_to_receive|The target asset expected price (limit_order_create operation)|
|min_to_receive_symbol|The target asset expected symbol (limit_order_create only)|
|exchange_rate|The target asset expected price (limit_order_create2 operation)|
fill_or_kill|flag to specify if the order should be killed (removed) from the order book if it cannot be filled|
|expiration|expiration time for the order|
**TxLimitOrdersCancels**
This table contains operations broadcasted to the blockchain when users want to cancel orders created on the internal market.
|Column|Description|
|-|-|
|owner|account who filled a limit order|
|orderid|an order ID defined by the owner|
## Support
If you have any questions or remarks, support is provided on the [HiveSQL Discord Channel](https://discord.gg/kyEFDfT).
Thank you for reading.
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See: HiveSQL Upate - Changes to the Internal Market tables by @arcange