execution-time | node.js utility to measure execution time in code | Runtime Evironment library

Multiple options, if you're only after the header:

Which operating system text are you reading from; ie. what date?

Traditional UNIX tools comprised a compiler (ccN), which converted source into asm; an assembler (as), which converted asm into either relocatable object code or executable; and a loader (ld) which combined object code files into a resolved executable.

Note that the assembler, if all symbols were resolved, could create an executable: the convention a.out is an artifact of this.

Other systems, notably IBM mainframes and later MSDOS, referred to loading as link editting, a difference without distinction.

When ld resolved (assigned) addresses to the executable, those addresses were virtual; although in practice might have been physical. Ld didn't care, its job was to combine N object files into a fully resolved executable, perhaps guided by rules like: .text = 0x0, .data = .text + size(.text), .... If I had an embedded system with only physical addresses, I could guide ld with other rules.

The resultant, a.out has a notion of the addresses of everything, and on modern equipment (where modern means any significant computer since 1978) these are virtual addresses, which the operating system which maps the executable into memory resolves to other physical memory addresses.

In more modern system, (since circa 2003), the a.out does not contain exact addresses, rather contains relative addresses and internal mapping tables. This enables operating systems to change a programs addresses each time they are run to thwart some simple malware attacks.

Just compute the remainder modulo 10,000 before formatting it with .3f:

I think you have to set higher number of partitions (input topic based on which store is build) and than run several such applications. Each instance will only consume some subset of messages (Key -> Values) and it will run faster

Yes the data format is wrong,

The data should be in line format, measurement1,tag1=value1,tag2=value2 field1=value1, field2=value2 timestamp

Explanation: measurement_name followed by comma and list of tags (comma separated), then a space followed by fields (comma separated) and again a space followed by timestamp with the right precision

Note: Space acts as a separator between tags, fields, and timestamp

In your case there are couple of mistakes,

1. you have set time precision to s (seconds) but the timestamp has 13 digits, it should have only 10 digits
2. there should be atleast one field present but your data has no fields
3. step-error-message=No message => space should be escaped with backslash (No\ Message)

Correct curl command will look like

1 Second is 1000 Milliseconds. So if you have a value that is given in seconds (assuming your Gigaflops is given as Measurement/second), just multiply it by 1000:

Few minor issues:

• The variable is spelled once as CREATE__ACCOUNT (2 '_'), and once as CREATE_ACOUNT
• The quoting for the '-d' line s off ('value8' terminating quote should be escaped
• Missing quote on the '@if' statement to protect against empty response

Problems include at least:

1. The root is already exist:result, so the initial

It's probably not very fast, especially because of the use of the functions %>% and na_if().

I'm not sure if this is the fastest way, but if you just make sCap and iState into atomic vectors instead of lists (using c() instead of list()), you can get what you want very easily: