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Flipside makes available the following SDKs as higher-level, more developer-friendly wrappers over the API. Examples for each SDK are available throughout the More Examples
The Query API uses an RPC interface instead of REST for its client-server communication. This is because RPC can provide more efficient communication and support for batch/multi-calls, which is useful for dashboards that have lots of queries powering them. Future functionality will make use of the RPC architecture to enable more efficient/scalable application use cases.
There are three RPC methods you must interact with to execute a query:
createQueryRun: used to queue up the execution of a query.
getQueryRun: used to retrieve the status of a query run.
getQueryRunResults: used to retrieve the results of the query run once it has completed executing.
Step 1: Create a Query
The following call to the API will queue up the execution of a query. If results already exist the query will not be executed. The endpoint returns a token that can be plugged into the Get Query Results endpoint to retrieve your data.
curl--location-g'https://api-v2.flipsidecrypto.xyz/json-rpc' \--header 'Content-Type: application/json' \--header 'x-api-key: {{api_key}}' \--data '{ "jsonrpc": "2.0", "method": "createQueryRun", "params": [ { "resultTTLHours": 1, "maxAgeMinutes": 0, "sql": "SELECT date_trunc('\''hour'\'', block_timestamp) as hourly_datetime, count(distinct tx_hash) as tx_count from ethereum.core.fact_transactions where block_timestamp >= getdate() - interval'\''1 month'\'' group by 1 order by 1 desc", "tags": { "source": "postman-demo", "env": "test" }, "dataSource": "snowflake-default", "dataProvider": "flipside" } ], "id": 1}'
var myHeaders =newHeaders();myHeaders.append("Content-Type","application/json");myHeaders.append("x-api-key","{{api_key}}");var raw =JSON.stringify({"jsonrpc":"2.0","method":"createQueryRun","params": [ {"resultTTLHours":1,"maxAgeMinutes":0,"sql":"SELECT date_trunc('hour', block_timestamp) as hourly_datetime, count(distinct tx_hash) as tx_count from ethereum.core.fact_transactions where block_timestamp >= getdate() - interval'1 month' group by 1 order by 1 desc","tags": {"source":"postman-demo","env":"test" },"dataSource":"snowflake-default","dataProvider":"flipside" } ],"id":1});var requestOptions = { method:'POST', headers: myHeaders, body: raw, redirect:'follow'};fetch("https://api-v2.flipsidecrypto.xyz/json-rpc", requestOptions).then(response =>response.text()).then(result =>console.log(result)).catch(error =>console.log('error', error));
import requestsimport jsonurl ="https://api-v2.flipsidecrypto.xyz/json-rpc"payload = json.dumps({"jsonrpc": "2.0","method": "createQueryRun","params": [ {"resultTTLHours": 1,"maxAgeMinutes": 0,"sql": "SELECT date_trunc('hour', block_timestamp) as hourly_datetime, count(distinct tx_hash) as tx_count from ethereum.core.fact_transactions where block_timestamp >= getdate() - interval'1 month' group by 1 order by 1 desc","tags": {"source": "postman-demo","env": "test" },"dataSource": "snowflake-default","dataProvider": "flipside" } ],"id": 1})headers ={'Content-Type':'application/json','x-api-key':'{{api_key}}'}response = requests.request("POST", url, headers=headers, data=payload)print(response.text)
library(shroomDK) # imports jsonlite and httrqtoken <-create_query_token(query ="SELECT * FROM ethereum.core.fact_transactions LIMIT 33",api_key =readLines("api_key.txt"), #always gitignore your api keys ttl =1,mam =5,data_source ="snowflake-default",data_provider ="flipside",api_url ="https://api-v2.flipsidecrypto.xyz/json-rpc")# use body(create_query_token) to see how header and body are formed.
Step 2: Poll for the Status of the Query Run
This endpoint takes as input a query run id returned by the createQueryRun rpc call.
library(shroomDK) # imports jsonlite and httr# see above for qtoken <- create_query_token(...)query_id <- qtoken$result$queryRequest$queryRunIdquery_status <-get_query_status(query_id, api_key)# use body(get_query_status) to see how header and body are formed.
Every QueryRun has the following life cycle:
Once the getQueryRun has returned a state of QUERY_STATE_SUCCESS call the getQueryRunResults RPC method to retrieve the result set in Step3.
Step 3: Get the Query Run Results
This endpoint takes as input a query run id used in the previous two steps.