Overview

The datasets in the Chainbase Network is like base metals, and the alchemists (developers) can use Manuscripts to process this data, extracting greater value from the existing data. death spiral

Protocol

Chainbase Network is committed to making data (on-chain & off-chain) more accessible, so Manuscripts allow users and developers to query and process data using SQL. Manuscripts mainly consist of two parts.

Schema: The definition of dataset.
Operators: The extract, transform, and load methods which being used to extract greater value from the existing data.

Schema

Schema can be defined like this.

CREATE TABLE ethereum.blocks (
    block_number bigint NOT NULL COMMENT 'Block number uniquely identifying the block',
    hash varchar(66) NOT NULL COMMENT 'Hash value representing the unique identity of the block(with bloom filter)',
    parent_hash varchar(66) NOT NULL COMMENT 'Hash value of the parent block(with bloom filter)',
    nonce varchar(78) COMMENT 'Nonce value associated with the block',
    sha3_uncles varchar(66) NOT NULL COMMENT 'SHA3 hash of the blocks uncle data(with bloom filter)',
    logs_bloom varchar COMMENT 'Logs bloom filter for events emitted in transactions',
    transactions_root varchar(66) NOT NULL COMMENT 'Root hash of the Merkle Patricia Trie for transactions(with bloom filter)',
    state_root varchar(66) NOT NULL COMMENT 'Root hash of the Merkle Patricia Trie for the state(with bloom filter)',
    receipts_root varchar(66) NOT NULL COMMENT 'Root hash of the Merkle Patricia Trie for receipts(with bloom filter)',
    miner varchar(42) NOT NULL COMMENT 'Address of the miner who mined the block(with bloom filter)',
    difficulty varchar(78) NOT NULL COMMENT 'Difficulty value representing the mining difficulty',
    total_difficulty varchar(78) COMMENT 'Total accumulated difficulty of the blockchain',
    size bigint COMMENT 'Size of the block in bytes',
    extra_data varchar NOT NULL COMMENT 'Extra data included in the block',
    gas_limit varchar(78) COMMENT 'Maximum gas limit allowed for transactions in the block',
    gas_used varchar(78) COMMENT 'Total gas used by transactions in the block',
    block_timestamp timestamp(3) NOT NULL COMMENT 'Timestamp of when the block was mined',
    transaction_count bigint COMMENT 'Number of transactions included in the block',
    base_fee_per_gas varchar(78) COMMENT 'Base fee per gas unit for transactions in the block',
    withdrawals_root varchar(66) COMMENT 'Root hash of the Merkle Patricia Trie for withdrawals',
    parent_beacon_block_root varchar COMMENT 'The hash tree root of the parent beacon block for the given execution block',
    excess_blob_gas bigint COMMENT 'The blob gas pricing.',
    blob_gas_used bigint COMMENT 'The total amount of blob gas consumed by transactions in the block'
);

Developers need to define the schema of the result table, including field names, field types, and field descriptions.

Data Types

Data Type	Remarks for Data Type
`CHAR`
`VARCHAR`
`STRING`
`BOOLEAN`
`BINARY`
`VARBINARY`
`BYTES`
`DECIMAL`	Supports fixed precision and scale.
`TINYINT`
`SMALLINT`
`INTEGER`
`BIGINT`
`FLOAT`
`DOUBLE`
`DATE`
`TIMESTAMP`
`TIMESTAMP_LTZ`

Operators

SELECT & WHERE clause

The general syntax of the SELECT statement is:

select select_list from table_expression [where boolean_expression]

The table_expression refers to any data set in Chainbase Network. It could be an existing table, or VALUES clause, the joined results of multiple existing tables, or a subquery. The following would read all rows from blocks.

select * from blocks;

The select_list specification * means the query will resolve all columns. Instead, a select_list can specify a subset of available columns or make calculations using said columns. For example, if token_transfers has columns name token_id, token_value and token_decimal you could write the following query:

select token_id, token_value / token_decimal from token_transfers;

Rows can be filtered based on a WHERE clause:

select * from ethereum.blocks where block_number = 19938860;

ORDER BY clause

The ORDER BY clause causes the result rows to be sorted according to the specified expression(s). If two rows are equal according to the leftmost expression, they are compared according to the next expression and so on. If they are equal according to all specified expressions, they are returned in an implementation-dependent order.

select * from blocks order by block_timestamp, block_number;

LIMIT clause

LIMIT clause constrains the number of rows returned by the SELECT statement. In general, this clause is used in conjunction with ORDER BY to ensure that the results are deterministic. The following example selects the latest 10 blocks on blocks table.

select * from blocks order by block_timestamp limit 10;

SELECT DISTINCT

If SELECT DISTINCT is specified, all duplicate rows are removed from the result set (one row is kept from each group of duplicates).

select distinct contract_address from token_transfer;

Group Aggregation

An aggregate function computes a single result from multiple input rows. For example, there are aggregates to compute the COUNT, SUM, AVG(average), MAX(maximum) and MIN(minimum) over a set of rows.

select count(1) from blocks

The standard GROUP BY clause is also supported for aggregating data.

select count(*) from token_transfer group by contract_address

Joins

INNER Equi-JOIN:

select *
	, token_metas.token_decimal
from token_transfer
inner join token_metas
on token_transfer.contract_address = token_metas.contract_address

OUTER Equi-JOIN:

select *
	, token_metas.token_decimal
from token_transfer
left join token_metas
on token_transfer.contract_address = token_metas.contract_address

INSERT Statement

INSERT statements are used to add rows to a dataset. Syntax:

insert into table_name select_statement

Examples:

create table latest_10_blocks (
	  block_number bigint NOT NULL COMMENT 'Block number uniquely identifying the block',
    hash varchar(66) NOT NULL COMMENT 'Hash value representing the unique identity of the block(with bloom filter)',
    parent_hash varchar(66) NOT NULL COMMENT 'Hash value of the parent block(with bloom filter)',
    nonce varchar(78) COMMENT 'Nonce value associated with the block',
    sha3_uncles varchar(66) NOT NULL COMMENT 'SHA3 hash of the blocks uncle data(with bloom filter)',
    logs_bloom varchar COMMENT 'Logs bloom filter for events emitted in transactions',
    transactions_root varchar(66) NOT NULL COMMENT 'Root hash of the Merkle Patricia Trie for transactions(with bloom filter)',
    state_root varchar(66) NOT NULL COMMENT 'Root hash of the Merkle Patricia Trie for the state(with bloom filter)',
    receipts_root varchar(66) NOT NULL COMMENT 'Root hash of the Merkle Patricia Trie for receipts(with bloom filter)',
    miner varchar(42) NOT NULL COMMENT 'Address of the miner who mined the block(with bloom filter)',
    difficulty varchar(78) NOT NULL COMMENT 'Difficulty value representing the mining difficulty',
    total_difficulty varchar(78) COMMENT 'Total accumulated difficulty of the blockchain',
    size bigint COMMENT 'Size of the block in bytes',
    extra_data varchar NOT NULL COMMENT 'Extra data included in the block',
    gas_limit varchar(78) COMMENT 'Maximum gas limit allowed for transactions in the block',
    gas_used varchar(78) COMMENT 'Total gas used by transactions in the block',
    block_timestamp timestamp(3) NOT NULL COMMENT 'Timestamp of when the block was mined',
    transaction_count bigint COMMENT 'Number of transactions included in the block',
    base_fee_per_gas varchar(78) COMMENT 'Base fee per gas unit for transactions in the block',
    withdrawals_root varchar(66) COMMENT 'Root hash of the Merkle Patricia Trie for withdrawals',
    parent_beacon_block_root varchar COMMENT 'The hash tree root of the parent beacon block for the given execution block',
    excess_blob_gas bigint COMMENT 'The blob gas pricing.',
    blob_gas_used bigint COMMENT 'The total amount of blob gas consumed by transactions in the block'
);

insert into latest_10_blocks
select * from blocks order by block_number desc limit 10;

GPL

For experienced alchemists, a General-perpose Programming Language (GPL), such as Python or JavaScript, can be used to extract and process data. GPL will provides the most flexible and powerful data extraction capabilities Coming Soon…

Introduction

Core Concepts

Developers

Contributing

4. Advanced Options

Overview

Protocol

Schema

Data Types

Operators

SELECT & WHERE clause

ORDER BY clause

LIMIT clause

SELECT DISTINCT

Group Aggregation

Joins

INSERT Statement

GPL

Introduction

Core Concepts

Developers

Contributing

​Overview

​Protocol

​Schema

​Data Types

​Operators

​SELECT & WHERE clause

​ORDER BY clause

​LIMIT clause

​SELECT DISTINCT

​Group Aggregation

​Joins

​INSERT Statement

​GPL

Overview

Protocol

Schema

Data Types

Operators

SELECT & WHERE clause

ORDER BY clause

LIMIT clause

SELECT DISTINCT

Group Aggregation

Joins

INSERT Statement

GPL