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Update BigQuery example doc #1572

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Nov 9, 2023
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Update BigQuery example doc #1572

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12 changes: 6 additions & 6 deletions docs/bos/queryapi/big-query.md
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Expand Up @@ -16,7 +16,6 @@ Benefits:
- **Cost-effective**: eliminate the need to store and process bulk NEAR protocol data; query as little or as much data as preferred.
- **Easy to use**: no prior experience with blockchain technology is required; bring a general knowledge of SQL to unlock insights.


## Getting started

1. Login into your [Google Cloud Account](https://console.cloud.google.com/).
Expand All @@ -27,7 +26,7 @@ Benefits:

:::info

The [NEAR Public Lakehouse repository](https://github.com/near/near-public-lakehouse) contains the source code for ingesting NEAR Protocol data stored as JSON files in AWS S3 by [NEAR Lake Indexer](https://github.com/near/near-lake-indexer).
The [NEAR Public Lakehouse repository](https://github.com/near/near-public-lakehouse) contains the source code for ingesting NEAR Protocol data stored as JSON files in AWS S3 by [NEAR Lake Indexer](https://github.com/near/near-lake-indexer).

:::

Expand All @@ -37,12 +36,13 @@ The [NEAR Public Lakehouse repository](https://github.com/near/near-public-lakeh

```sql
SELECT
r.block_date collected_for_day,
COUNT(DISTINCT r.transaction_signer_account_id)
ra.block_date collected_for_day,
COUNT(DISTINCT t.signer_account_id) as total
FROM `bigquery-public-data.crypto_near_mainnet_us.receipt_actions` ra
INNER JOIN `bigquery-public-data.crypto_near_mainnet_us.receipts` r ON r.receipt_id = ra.receipt_id
JOIN `bigquery-public-data.crypto_near_mainnet_us.receipt_origin_transaction` ro ON ro.receipt_id = ra.receipt_id
JOIN `bigquery-public-data.crypto_near_mainnet_us.transactions` t ON ro.originated_from_transaction_hash = t.transaction_hash
WHERE ra.action_kind = 'FUNCTION_CALL'
AND ra.receipt_receiver_account_id = 'near.social' -- change to your contract
AND ra.receipt_receiver_account_id = 'social.near' -- change to your contract
GROUP BY 1
ORDER BY 1 DESC;
```
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