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Name: Solana: Google Bigquery indexes for transactions

Introduction:

As developers and data scientists, we have all been there, observing our consultations on Google Bigquery to deal with disappointment when the results are charged forever. In this article, we will study the common problem that can arise using Solana as a blockchain platform: Google Bigquery missing indices for transactions.

What are the indices?

Bigquery indices are used to improve consultation performance by providing an effective way to obtain data from large data sets. They do it creating physical tables with additional metadata, which allows the database to quickly find special rows based on their index values.

Problem: Database database of missing index index

Using Solana as a blockchain platform, transactions are stored in data “Solana_program”, which is part of the Google Bigquery platform. However, these data seem to have several missing indexes together, so it is an extremely expensive treatment.

Ask:

The main culprit behind this problem is the lack of indexes in certain “Solana_program” tables. Specifically:

* Commercial table: This table contains all transaction data that include time seals, account addresses and other relevant information.

* The Hashes table: This table maintains a single transaction hashs list for each business lot.

Consequences:

Without these indices, consultations on the Solana_program can take little practices for a long time. For example:

• A simple query that recovers all transactions with a particular account address can take several minutes or even hours.

• The most sophisticated consultations that require filtering transactions and classification by time brands can still be slow.

Solution:

Fortunately, Google Cloud Bigquery team has recently announced an update that includes new index data as a whole “Solana_program”. These new indices should greatly improve the performance of the consultation in transactions.

You can take these steps to use these improved indices:

• Update the Code: Modify the Solana program to use updated indices.

• Create a new Bigquery index: Work in the terminal to create a new index:

`

Replacetab_name` with the name of the” Deal “table.

Conclusion:

The missing indices on Google Bigquery can make extremely expensive data of the Solana Blockchain platform. However, recent updates have analyzed the problem and have improved performance performance. When doing these activities, I should enjoy faster questions about transactions using updated indexes.

Note: After updating the code and the indices, be sure to verify the consultations to ensure that they work as planned.

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