On Monday, October 12, 2015 at 10:02:13 PM UTC+11, Laura Creighton wrote:
> In a message of Sun, 11 Oct 2015 17:56:33 -0700, Victor Hooi writes:
> >Hi,
> >
> >I'm attempting to parse MongoDB loglines.
> >
> >The formatting of these loglines could best be described as JSON-like...
> >
> >For example
In a message of Sun, 11 Oct 2015 17:56:33 -0700, Victor Hooi writes:
>Hi,
>
>I'm attempting to parse MongoDB loglines.
>
>The formatting of these loglines could best be described as JSON-like...
>
>For example - arrays
>
>Anyhow, say I had the following logline snippet:
>
>{ Global: { acquireC
Victor Hooi writes:
> My question, is there a more lenient, or relaxed JSON parser available
> for Python, that will try to do a best-efforts parsing of non-spec
> JSON?
In an answer to a similar question on StackExchange, using YAML was
suggested.
http://stackoverflow.com/questions/9104930
Is
On 2015-10-12 01:56, Victor Hooi wrote:
Hi,
I'm attempting to parse MongoDB loglines.
The formatting of these loglines could best be described as JSON-like...
For example - arrays
Anyhow, say I had the following logline snippet:
{ Global: { acquireCount: { r: 2, w: 2 } }, Database: { ac
Hi,
I'm attempting to parse MongoDB loglines.
The formatting of these loglines could best be described as JSON-like...
For example - arrays
Anyhow, say I had the following logline snippet:
{ Global: { acquireCount: { r: 2, w: 2 } }, Database: { acquireCount: { w:
2 } }, Collection: { acq
