# Reading from QuickBooks entities
<a name="quickbooks-reading-from-entities"></a>

**Prerequisite**

A QuickBooks object you would like to read from.

**Supported entities for source**:


| Entity | Can be filtered | Supports limit | Supports Order by | Supports Select \$1 | Supports partitioning | 
| --- | --- | --- | --- | --- | --- | 
| Account | Yes | Yes | Yes | Yes | Yes | 
| Bill | Yes | Yes | Yes | Yes | Yes | 
| Company Info | No | No | No | Yes | No | 
| Customer | Yes | Yes | Yes | Yes | Yes | 
| Employee | Yes | Yes | Yes | Yes | Yes | 
| Estimate | Yes | Yes | Yes | Yes | Yes | 
| Invoice | Yes | Yes | Yes | Yes | Yes | 
| Item | Yes | Yes | Yes | Yes | Yes | 
| Payment | Yes | Yes | Yes | Yes | Yes | 
| Preferences | No | No | No | Yes | No | 
| Profit and Loss | Yes | No | No | Yes | No | 
| Tax Agency | Yes | Yes | Yes | Yes | Yes | 
| Vendors | Yes | Yes | Yes | Yes | Yes | 

**Example**:

```
QuickBooks_read = glueContext.create_dynamic_frame.from_options(
    connection_type="quickbooks",
    connection_options={
        "connectionName": "connectionName",
        "ENTITY_NAME": "Account",
        "API_VERSION": "v3"
    }
```

**QuickBooks entity and field details**:

For more information about the entities and field details see:
+ [Account](https://developer.intuit.com/app/developer/qbo/docs/api/accounting/most-commonly-used/account)
+ [Bill](https://developer.intuit.com/app/developer/qbo/docs/api/accounting/most-commonly-used/bill)
+ [CompanyInfo](https://developer.intuit.com/app/developer/qbo/docs/api/accounting/most-commonly-used/companyinfo)
+ [Customer](https://developer.intuit.com/app/developer/qbo/docs/api/accounting/most-commonly-used/customer)
+ [Employee](https://developer.intuit.com/app/developer/qbo/docs/api/accounting/most-commonly-used/employee)
+ [Estimate](https://developer.intuit.com/app/developer/qbo/docs/api/accounting/most-commonly-used/estimate)
+ [Invoice](https://developer.intuit.com/app/developer/qbo/docs/api/accounting/most-commonly-used/invoice)
+ [Item](https://developer.intuit.com/app/developer/qbo/docs/api/accounting/most-commonly-used/item)
+ [Payment](https://developer.intuit.com/app/developer/qbo/docs/api/accounting/most-commonly-used/payment)
+ [Preferences](https://developer.intuit.com/app/developer/qbo/docs/api/accounting/most-commonly-used/preferences)
+ [ProfitAndLoss](https://developer.intuit.com/app/developer/qbo/docs/api/accounting/most-commonly-used/profitandloss)
+ [TaxAgency](https://developer.intuit.com/app/developer/qbo/docs/api/accounting/most-commonly-used/taxagency)
+ [Vendor](https://developer.intuit.com/app/developer/qbo/docs/api/accounting/most-commonly-used/vendor)

## Partitioning queries
<a name="quickbooks-reading-partitioning-queries"></a>

**Field-based partitioning**:

In QuickBooks, the Integer and DateTime datatype fields support field-based partitioning.

You can provide the additional Spark options `PARTITION_FIELD`, `LOWER_BOUND`, `UPPER_BOUND`, and `NUM_PARTITIONS` if you want to utilize concurrency in Spark. With these parameters, the original query would be split into `NUM_PARTITIONS` number of sub-queries that can be executed by Spark tasks concurrently.
+ `PARTITION_FIELD`: the name of the field to be used to partition the query.
+ `LOWER_BOUND`: an **inclusive** lower bound value of the chosen partition field.

  For the Datetime field, we accept the Spark timestamp format used in Spark SQL queries.

  Examples of valid value:

  ```
  "2024-05-07T02:03:00.00Z"
  ```
+ `UPPER_BOUND`: an **exclusive** upper bound value of the chosen partition field.
+ `NUM_PARTITIONS`: the number of partitions.

Example:

```
QuickBooks_read = glueContext.create_dynamic_frame.from_options(
    connection_type="quickbooks",
    connection_options={
        "connectionName": "connectionName",
        "REALMID": "12345678690123456789",
        "ENTITY_NAME": "Account",
        "API_VERSION": "v3",
        "PARTITION_FIELD": "MetaData_CreateTime"
        "LOWER_BOUND": "2023-09-07T02:03:00.000Z"
        "UPPER_BOUND": "2024-05-07T02:03:00.000Z"
        "NUM_PARTITIONS": "10"
    }
```

**Record-based partitioning**:

The original query is splitinto `NUM_PARTITIONS` number of sub-queries that can be executed by Spark tasks concurrently:
+ `NUM_PARTITIONS`: the number of partitions.

Example:

```
QuickBooks_read = glueContext.create_dynamic_frame.from_options(
    connection_type="quickbooks",
    connection_options={
        "connectionName": "connectionName",
        "REALMID": "1234567890123456789",
        "ENTITY_NAME": "Bill",
        "API_VERSION": "v3",
        "NUM_PARTITIONS": "10"
    }
```