Fetch FIO Chain State Data
Overview
There are two ways to retrieve data from the FIO Chain:
- FIO Chain Getters - purpose built getters that return most commonly used information from the FIO Chain.
- get_table_rows - generic getter to query any table in FIO Chain state.
Table read limits
It's important to note that the FIO Chain API nodes have a limit on how many results are returned on a read query. This limit is dependent on variety of factors, including server technical specs, API version, size of the table, etc. When the limit is reached, your results will be returned even if not complete!
Therefore, you should never assume the query is returning the entire data set requested and validate the returned results set.
If large data set is expected, i.e. more than 500 results, you should consider using paged get_table_rows query method instead of the FIO Chain Getters, as those will experience the same limit issues and will only page through the limited set.
FIO Chain Getters
Paging
Most FIO Chain Getters take two paging parameters:
limit
- number of results to return. If omitted, all is assumed. meaning all results will be attempted to be returned.offset
- number where the limit starts. If omitted, 0 is assumed, meaning the returned set will start at this first available.
In response, more
parameter is returned which includes number of results which are still left following the last set you received.
Example:
- Complete set has 1000 items
- You request
limit
: 50,offset
: 0 - You get first 50 results and
more
: 950 - To get next 50 results, set
limit
: 50,offset
: 50 - Repeat until
more
in response is 0
get_table_rows
Parameters
The core parameters are: code
which denotes the specific FIO Chain contract, scope
which will typically be same as code
and table
which denotes the specific table you want to query.
To constrain the response you may also pass in:
lower_bound
andupper_bound
denoting the search query start and stopindex_position
denoting index to searchkey_type
denoting key type of indexlimit
denoting number of results to return
Paging
If you would like to page through a large dataset (beyond what can be returned in a single call), you must:
- Read the primary index on the last record returned
- Pass that value into
lower_bound
on a subsequent call - You will now receive items starting with that index
You should not assume you will receive all the records as specified in limit. Example:
- Set contains 6,000 records
- You set limit to 2,000 records
- You only receive 200 records with last record primary index of 200
- When you send the next query your
lower_bound
should be set to 201. If you set it to 2,000, thinking you just want the next 2,000 in the set you will be missing records 201-1999.
Examples
Updated 7 months ago