Query Collections: Query Language

This document provides documentation for Collection Filter Language developed by EverX
What is a collection
Collection is a data set of one document type.
There are 4 types of documents:
blocks
accounts
transactions
messages
block signatures
All Evernode Platform products provide query, analytics and subscription functionality for the last 7 days of blocks, transactions, messages. And full collection of accounts.
query{
    # Query collections
    accounts
    blocks
    transactions
    messages
    block_signatures
    # Calculate analytics (COUNT, MIN, MAX, SUM, AVERAGE)
    aggregate_accounts
    aggregate_blocks
    aggregate_transactions
    aggregate_messages
    aggregate_block_signatures
}
​
subscription{
    # Subscribe to data updates
    accounts
    blocks
    transactions
    messages
    block_signatures
}
​
Support in Client Libraries
​ever-sdk provides wrappers for convenient work with collections from applications: net.query_collection, net.aggregate_collection, net.subscribe_collection.
Content table
​Query a collection​
​Aggregate a collection​
​Subscription​
​Filtration​
​Scalar filters​
​Array filters​
​Structure filters​
​OR operator​
​Joins​
​Sorting and limiting​
​Working with u64 and u128 numbers​
​U64String​
​U1024String​
​GraphQL interaction​
Query a collection
Account collection query sample that returns the specified account's balance
query {
  accounts(
    filter: {
      id: {eq: "-1:6666666666666666666666666666666666666666666666666666666666666666"}
    }
  ) {
    id
    balance
  }
}
To perform a query over a collection, choose a collection and result projection. Optionally specify a filter, sorting order and the maximum number of items in the results list.
query {
  transactions(
    filter: {
      now: {gt: 1567601735}
    }
    orderBy: {path:"now",direction:DESC}
    limit :5
  )
  {
    id
    now
  }
}
The example above demonstrates a query to the transactions collection with the following parameters:
filter: a JSON object matching the internal collection structure. It supports additional conditions for particular fields. In the example above, the now field of a transaction must be greater than 1567601735.
orderby: sort by "now" field in DESC order
limit: show only top 5 objects
result: is a result projection that determines structural subset used for returning items. In the example above the request is limited to two fields: id and now. Note that results have to follow GraphQL rules.
Read more about filtration, sorting and limiting below in this section.
Aggregate a collection
You can collect aggregated data with aggregation root queries:
aggregateBlocks
aggregateTransactions
aggregateMessages
aggregateAccounts
aggregateBlockSignatures
Data is aggregated by filter and fields.
filter - read more about it below in this section
fields is an array of tuples {field, fn} - field names and aggregation functions. Aggregation function is a predefined string constant and determines the value that should be collected for a corresponding field.
Example 1
Get COUNT of the transactions of a specified account (note that in case of COUNT you can omit field in fields ):
query{
  aggregateTransactions(
    filter:{
     account_addr : { 
        eq: "0:a52f6a7ea6bc7279728cbff01ad1e8b1dfc386098cfac1f381ae3959bf2ae9db" }
    },
    fields:[
      {
        fn:COUNT
      }
    ]
  )
}
Result:
{
  "data": {
    "aggregateTransactions": [
      "1444"
    ]
  }
}
Example 2
Determine min, max and sum values of transferred coins and number of transfers between two accounts:
query{
  aggregateMessages(
    filter:{
        src:{eq:"0:797f32a15bbe5213a07cafe4c80e5e28f2662e865e95b23694f4bd36f2b42ff8"}
        dst:{eq:"0:7d667fed88b9edb82eb6a116b48052b6a7765577ad341b35acb118451c7aa625"}
​
          OR:{
            src:{eq:"0:7d667fed88b9edb82eb6a116b48052b6a7765577ad341b35acb118451c7aa625"}
            dst:{eq:"0:797f32a15bbe5213a07cafe4c80e5e28f2662e865e95b23694f4bd36f2b42ff8"}
        }
    }
    fields:[
        { field: "value", fn: MIN},
        { field: "value", fn: MAX },
        { field: "value", fn: SUM },
          { fn: COUNT}
    ]
  )
}
Result:
{
  "data": {
    "aggregateMessages": [
      "10000000",
      "10000000",
      "30000000",
      "3"
    ]
  }
}
Example 3
Determine min, max and sum value for the gas_used of a transactions compute phase (you can use a dot separated path as a field name to use fields resided deep in a JSON structure of a transaction record):
query{
  aggregateTransactions(
    filter:{
     account_addr : 
            {eq: "0:a52f6a7ea6bc7279728cbff01ad1e8b1dfc386098cfac1f381ae3959bf2ae9db" }
    },
    fields:[
      { field: "compute.gas_used", fn:MIN },
      { field: "compute.gas_used", fn:MAX },
      { field: "compute.gas_used", fn:SUM },
    ]
  )
}
Result:
{
  "data": {
    "aggregateTransactions": [
      "1434",
      "45221",
      "32578614"
    ]
  }
}
Video tutorial - GraphQL: Joined Blocks, OR Operator, Aggregations
Subscription
In this example, we start a subscription and get a result whenever a new block is generated.
subscription{
  blocks{
    id
  }
}
The filter and result parameters are the same as in the query method. The filter parameter narrows the action down to a subset of monitored items. In this case, the filter is empty: all items are included into monitoring.
Filtration
Filters applied to query functions are data structures matching collection item with several extra features:
The value for scalar fields (e.g. strings, numbers etc.) is a structure with the scalar filter.
The value for array fields is a structure with an array filter.
The value for nested structures is a filter for nested structure.
These filter types will be described in more details below in this section.
Filtration applies only to collection query types
Indexes
Not all filter combinations are available in Evercloud. We investigated most important use-cases and configured a set of indexes for them. 
If there is no index for your query, you will get the error message: "Query was detected as a slow. Available indexes can't be used for filter fields. See error data for details." 
You can find the list of available indexes in the error data section.
Error log sample for a not optimized blocks collection query
{
  "errors": [
    {
      "message": "Slow queries are disabled. Query was detected as a slow. Available indexes can't be used for filter fields. See error data for details.",
      "path": [
        "blocks"
      ],
      "extensions": {
        "code": "INTERNAL_SERVER_ERROR",
        "exception": {
          "data": {
            "slowReason": {
              "summary": "Available indexes can't be used for filter fields",
              "fields": [
                "min_ref_mc_seqno ==",
                "rand_seed >"
              ],
              "availableIndexes": [
                "seq_no, gen_utime",
                "gen_utime",
                "workchain_id, shard, seq_no",
                "workchain_id, shard, gen_utime",
                "workchain_id, seq_no",
                "workchain_id, key_block, seq_no",
                "workchain_id, gen_utime",
                "workchain_id, tr_count, gen_utime",
                "master.min_shard_gen_utime",
                "prev_ref.root_hash, _key",
                "prev_alt_ref.root_hash, _key",
                "tr_count, gen_utime",
                "chain_order",
                "key_block, chain_order",
                "workchain_id, chain_order",
                "workchain_id, shard, chain_order",
                "_key"
              ],
              "selectedIndexes": []
            }
          }
        }
      }
    }
  ],
  "data": {
    "blocks": null
  }
}
Scalar filters
Scalar filter is a structure with one or more predefined fields. Each field defines a specific scalar operation and a reference value:
eq: item value must be equal to the specified value;
ne: item value must not be equal to the specified value;
gt: item value must be greater than the specified value;
lt: item value must be less than specified value;
ge: item value must be greater than or equal to the specified value;
le: item value must be less than or equal to the specified value;
in: item value must be contained in the specified array of values;
notIn: item value must not be contained within the specified array of values.
Scalar filter example 1
filter: {
    id: { eq: 'e19948d53c4fc8d405fbb8bde4af83039f37ce6bc9d0fc07bbd47a1cf59a8465'},
    status: { in: [0, 1, 2] }
}
Scalar filter example 2
filter: {
    now: { gt: 1563449, lt: 2063449 }
}
The logic from the above snippet can be expressed in the following way:
(transaction.now > 1563449) && (transaction.now < 2063449)
Array filters
Array filters are used for array (list) fields. Each has to contain at least one of the predefined operators:
any: used when at least one array item matches the nested filter;
all: used when all items matches the nested filter.
The any or all must contain a nested filter for an array item.
Array operators are mutually exclusive and can not be combined. For empty arrays, the array filter is assumed to be false.
Structure filters
If an item is a structure, then a filter has to contain fields named as fields of this item. Each nested filter field contains a condition for the appropriate field of an item. The AND operator is used to combine conditions for several fields.
OR operator
You can combine several struct filters over collection with logical OR in a single query. Just specify OR field in collection struct filter.
Determine all messages related to the specified account:
query {
  messages(
  filter:{
    src: { eq: "0:a52f6a7ea6bc7279728cbff01ad1e8b1dfc386098cfac1f381ae3959bf2ae9db" },
    OR: 
    {
       dst: { eq: "0:a52f6a7ea6bc7279728cbff01ad1e8b1dfc386098cfac1f381ae3959bf2ae9db" }
    }
})
  {
    id
    src
    dst
    value
  }
}
Request messages of myAcc or messages with value more than 10000 nG (combine several OR operators) :
query {
  messages(
  filter:{
    src: { eq: "0:a52f6a7ea6bc7279728cbff01ad1e8b1dfc386098cfac1f381ae3959bf2ae9db" },
    OR: 
    {
        dst: { eq: "0:a52f6a7ea6bc7279728cbff01ad1e8b1dfc386098cfac1f381ae3959bf2ae9db" },
        OR: 
        {
               value: { gt: "10000" }
        }
    }
})
  {
    id
    src
    dst
    value
  }
}
Joins
A NoSQL database contains additional fields that work as cross-references for related collections. For example, the transactions collection has the in_message field that stores the relevant message item. The message item exists in messages collection and has the id value equal to the in_msg value in transactions. Block join is present in Messages and Transactions collections.
Joined items are represented as nested structures in a filter and in the result projection.
Sorting and limiting
Sorting and limiting applies only to collection query types
By default, retrieval order for several items is not defined. To specify it, use the orderBy parameter of query method.
The sort order is represented by an array or sort descriptors. These structures contain two fields: path and direction:
path specifies a path from a root item of the collection to the field that determines the order of return items. The path includes field names separated by dot.
direction specifies the sorting order: ASC or DESC (ascending and descending).
You can specify more than one field to define an order. If two items have equal values for the first sort descriptor, then second descriptor is used for comparison, etc. If values of sorting fields are the same for several items, then the order of these items is not defined.
The limit parameter determines the maximum number of items returned. This parameter has a default value of 50 and can not exceed it. If specified limit exceeds 50, 50 is used.
Working with u64 and u128 numbers
All the numbers larger than 2^32 are stored as hexadecimal strings with a string length prefix as defined below.
U64String
All number types in range (2^32 ... 2^64) are encoded as a string using the following format:
"MN...N"
where:
M – one char with hex (length-1) of hexadecimal representation of a number.
N...N – hexadecimal lowercased representation of a number.
Number examples:
11 – 1
12 – 2
1a – 10
2ff – 255
fffffffffffffffff - 0xffffffffffffffff = 2^(2 * 16)-1 = 2^32-1
U1024String
All number types in range (2^64 ... 2^1024] are encoded as a string using the following format:
"MMN...N"
where:
MM – two chars with hex (length-1) of hexadecimal representation of a number.
N...N – hexadecimal lowercased representation of a number.
Number examples:
011 – 1
012 – 2
01a – 10
02ff – 255
ffff..ff - 2^(2 *256) - 1 = 2^512 - 1
GraphQL interaction
Within the GraphQL filter fields these numbers can be represented as follows:
1.Hexadecimal number string starting with a 0x prefix for example 0x10f0345ae. Note that you can specify characters for hexadecimal numbers in any letter case, for example 0xa4b is the same as a 0xA4B.
2.Decimal number representation, for example 100034012.
GraphQL always returns large numbers as a hexadecimal number string starting with a 0x prefix; for example 0xa34ff. Note that GraphQL always returns characters in lower case.
To interact with large numbers in GraphQl one needs to use BigInt(value) where value can be both hexadecimal with 0x prefix or a decimal number.
Info API
Subscribe Collections
Last modified 2mo ago