Solana: Missing Indexes in Google BigQuery for Transactions
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Title: Solana: Missing Indexes at Google Bigquery for transactions
Introduction:
As a data developers and scientists, we were all there – they looked at our questions on Google Bigquer to encounter disappointment when the results require eternity loading. In this article, we will examine a common problem that may arise when using solan as Blockchain platforms: Missing Indexes at Google Bigquery for transactions.
What are indices?
At Bigquery, indexes are used to improve demand performance by providing an effective way to load data from large data files. They do this by creating physical tables with other metadates that allow the database to quickly locate specific rows based on their index values.
Problem: Missing Indexes in Solany transaction database **
When using Solan as a blockchain platform, the transactions are stored in the “Solan_program” file, which is part of the Google Bigquer platform. However, it seems that this data set has several missing indexes, making it extremely expensive to demand for transactions.
problem:
The main culprit of this problem is the lack of indices in certain tables in the Solan_program data file. Specifically:
* Table of transaction:
This table contains all transactions data that includes time stamps, account addresses and other relevant information.
* Table of HashS transaction: This table stores a list of unique HASHA transactions for each batch of transactions.
Consequences:
Without these indexes, queries on the “Solan_program" data file can take an impractically long time. For example::
- A simple demand that loads all transactions for a particular account address may take a few minutes or even hours to carry out the clock.
- More complex queries that require filtering and sorting transactions according to the time stamp may still be slow.
Solution:
Fortunately, Google Cloud Bigquer has recently announced an update that contains new Indexes on the "Solan_program" file. These new indices should significantly improve the performance of the query in transactions.
If you want to use these improved indices, you can follow the following steps:
- Update your code:
Edit your Solana program to use updated indices.
- Create a new Bigquer Index: Start the following command in the terminal and create a new index:
Bigquery – -Index = TIMESTAMP index_table_name transaction
`
Replace Table_name with the name of your“ Transactions ”table.
Conclusion:
Missing Google Bigquery Indexes for transactions can make it extremely expensive to demand data from the Blockchain Solan platform. However, recent updates have dealt with this problem and improved query performance. According to these steps, you should be able to enjoy faster questions about your transactions using updated indices.
Note: After updating the code and indexes, be sure to test your questions to make sure they work as expected.
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