Global Search

The most robust way to export, search, query, and filter large data sets from GRAX is using Global Search. Simply navigate to the Search tab and choose New Global Search and enter the criteria to find the data you are looking for. The data is prepared in a versatile CSV file that you can download or immediately restore back into Salesforce.

Global Search

Global Search allows you to find large sets of records that have been archived, deleted, or both.

Querying Large GRAX Search Results

The instructions below give you a framework to do complex queries, joins, filters, and segmentation of large Search Job results. (In the below sample we are using a 564.8 MB file of Tasks containing 3,009,400 search results)

Download the SQLite open source tool.
Download the GRAX Search Job results via CSV save as graxsearchresults.csv to where you saved Step 1.
Open a Terminal / command-line and navigate to where SQLite and the graxsearchresults.csv are downloaded.
Execute the below statements in the Terminal / command-line to load the graxsearchresults.csv results into memory and temporary SQL table named tempsearchtable.
- NOTE: Before proceeding, please ensure you have sufficient system resources to load the graxsearchresults.csv in
  memory.
```
sqlite3
.import ./graxsearchresults.csv tempsearchtable --csv
.mode box
```

Get count of tempsearchtable

sqlite> select count(*) from tempsearchtable;
┌──────────┐
│ count(*) │
├──────────┤
│ 3009400  │
└──────────┘

How to search by a Date field.

sqlite> select count(*) from tempsearchtable where datetime(CreatedDate)>'2022-9-30' and datetime(CreatedDate)<'2022-10-05T21:00:00';
┌──────────┐
│ count(*) │
├──────────┤
│ 1284400  │
└──────────┘

How to search by Boolean

sqlite> select count(*) from tempsearchtable where boolean(IsClosed)=true;
┌──────────┐
│ count(*) │
├──────────┤
│ 2623005  │
└──────────┘

How to export search results to CSV file

sqlite> .mode csv
sqlite> .header on
sqlite> .once ./filteredresults.csv
sqlite> select Id from tempsearchtable where datetime(CreatedDate)>'2022-9-30' and datetime(CreatedDate)<'2022-11-1';

$ head -10 ./filteredresults.csv
Id
00T5500000RFpA8EAL
00T5500000RFq0nEAD
00T5500000RFrtXEAT
00T5500000RKAx0EAH
00T5500000RKCSIEA5
00T5500000RKHgMEAX
00T5500000RKJeVEAX
00T5500000RKUZFEA5
00T5500000RKbU8EAL
00T5500000RKcsLEAT

SQLite Help

The preceding steps use open source SQLite; you can find the SQLite Help Documentation Here