update
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@ -70,7 +70,7 @@ Without an interviewer to address clarifying questions, we'll define some use ca
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Handy conversion guide:
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* 2.5 million requests per month
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* 2.5 million seconds per month
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* 1 request per second = 2.5 million requests per month
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* 40 requests per second = 100 million requests per month
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* 400 requests per second = 1 billion requests per month
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@ -108,7 +108,7 @@ An alternative to a relational database acting as a large hash table, we could u
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The `pastes` table could have the following structure:
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```sql
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```
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shortlink char(7) NOT NULL
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expiration_length_in_minutes int NOT NULL
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created_at datetime NOT NULL
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@ -130,7 +130,7 @@ To generate the unique url, we could:
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* Base 64 is another popular encoding but provides issues for urls because of the additional `+` and `/` characters
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* The following [Base 62 pseudocode](http://stackoverflow.com/questions/742013/how-to-code-a-url-shortener) runs in O(k) time where k is the number of digits = 7:
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```python
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```
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def base_encode(num, base=62):
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digits = []
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while num > 0
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@ -142,7 +142,7 @@ def base_encode(num, base=62):
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* Take the first 7 characters of the output, which results in 62^7 possible values and should be sufficient to handle our constraint of 360 million shortlinks in 3 years:
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```python
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```
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url = base_encode(md5(ip_address+timestamp))[:URL_LENGTH]
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```
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@ -155,7 +155,7 @@ $ curl -X POST --data '{ "expiration_length_in_minutes": "60", \
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Response:
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```json
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```
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{
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"shortlink": "foobar"
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}
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@ -174,13 +174,13 @@ For internal communications, we could use [Remote Procedure Calls](https://githu
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REST API:
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```shell
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```
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$ curl https://pastebin.com/api/v1/paste?shortlink=foobar
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```
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Response:
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```json
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```
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{
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"paste_contents": "Hello World",
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"created_at": "YYYY-MM-DD HH:MM:SS",
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@ -194,7 +194,7 @@ Since realtime analytics are not a requirement, we could simply **MapReduce** th
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**Clarify with your interviewer how much code you are expected to write**.
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```python
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```
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class HitCounts(MRJob):
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def extract_url(self, line):
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