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@ -1,191 +1,4 @@
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# Status of the Go port
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Running the GOCC parser-generator for the full Miller grammar takes a few minutes. That's
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a bit painful for experimentation; hence this.
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* This will be a full Go port of [Miller](https://miller.readthedocs.io/). Things are currently rough and iterative and incomplete. I don't have a firm timeline but I suspect it will take a few more months of late-evening/spare-time work.
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* The released Go port will become Miller 6.0. As noted below, this will be a win both at the source-code level, and for users of Miller.
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* I hope to retain backward compatibility at the command-line level as much as possible.
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* In the meantime I will still keep fixing bugs, doing some features, etc. in C on Miller 5.x -- in the near term, support for Miller's C implementation continues as before.
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# Port-completion criteria
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* `reg-test/run` completes -- either completing/fixing the C/Go source-code discrepancies, or accepting the changes as backward incomptabilities
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* Double-checking all Miller issues ever, in case I fixed/implemented something but didn't have reg-test coverage
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* All `TODO`/`xxx` comments in Go, BNF source code, and case-files are resolved
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* Release notes including Go-only features, and C/Go backward-incompatibilities
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* Docs updated at https://miller.readthedocs.io/ (source-controlled at [../docs](../docs/))
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* Equivalent of `./configure`, whatever that turns out to be
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# Trying out the Go port
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* Caveat: *lots* of things present in the C implementation are currently missing in the Go implementation. So if something doesn't work, it's almost certainly because it doesn't work *yet*.
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* That said, if anyone is interested in playing around with it and giving early feedback, I'll be happy for it.
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* Building:
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* Clone the Miller repo
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* `cd go`
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* `./build` should create `mlr`, and print the two lines `Compile OK` and `Test OK`. If it doesn't do this on your platform, please [file an issue](https://github.com/johnkerl/miller/issues).
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* Platforms tried so far:
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* macOS with Go 1.14, and Linux Mint with Go 1.10
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* Windows I have not tried at all
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* On-line help:
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* `mlr --help` advertises some things the Go implementation doesn't actually do yet.
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* `mlr --help-all-verbs` correctly lists verbs which do things in the Go implementation.
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* See also https://github.com/johnkerl/miller/issues/372
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# Benefits of porting to Go
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* The [lack of a streaming (record-by-record) JSON reader](http://johnkerl.org/miller/doc/file-formats.html#JSON_non-streaming) in the C implementation ([issue 99](https://github.com/johnkerl/miller/issues/99)) is immediately solved in the Go implementation.
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* In the C implementation, [arrays were not supported in the DSL](http://johnkerl.org/miller/doc/file-formats.html#Arrays); in the Go implementation they are.
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* [Flattening nested map structures to output records](http://johnkerl.org/miller/doc/file-formats.html#Formatting_JSON_options) was clumsy. Now, Miller will be a JSON-to-JSON processor, if your inputs and outputs are both JSON; JSON input and output will be idiomatic.
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* The quoted-DKVP feature from [issue 266](https://github.com/johnkerl/miller/issues/266) will be easily addressed.
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* String/number-formatting issues in [issue 211](https://github.com/johnkerl/miller/issues/211), [issue 178](https://github.com/johnkerl/miller/issues/178), [issue 151](https://github.com/johnkerl/miller/issues/151), and [issue 259](https://github.com/johnkerl/miller/issues/259) will be fixed during the Go port.
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* I think some DST/timezone issues such as [issue 359](https://github.com/johnkerl/miller/issues/359) will be easier to fix using the Go datetime library than using the C datetime library
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* The code will be easier to read and, I hope, easier for others to contribute to. What this means is it should be quicker and easier to add new features to Miller -- after the development-time cost of the port itself is paid, of course.
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# Why Go
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* As noted above, multiple Miller issues will benefit from stronger library support.
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* Channels/goroutines are an excellent for Miller's reader/mapper/mapper/mapper/writer record-stream architecture.
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* Since I did timing experiments in 2015, I found Go to be faster than it was then.
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* In terms of CPU-cycle-count, Go is a bit slower than C (it does more things, like bounds-checking arrays and so on) -- but by leveraging concurrency over a couple processors, I find that it's competitive in terms of wall-time.
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* Go is an up-and-coming language, with good reason -- it's mature, stable, with few of C's weaknesses and many of C's strengths.
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* The source code will be easier to read/maintain/write, by myself and others.
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# Things which may change
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Please see https://github.com/johnkerl/miller/issues/372.
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# Efficiency of the Go port
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As I wrote [here](http://johnkerl.org/miller/doc/whyc.html) back in 2015 I couldn't get Rust or Go (or any other language I tried) to do some test-case processing as quickly as C, so I stuck with C.
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Either Go has improved since 2015, or I'm a better Go programmer than I used to be, or both -- but as of 2020 I can get Go-Miller to process data about as quickly as C-Miller.
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Note: in some sense Go-Miller is *less* efficient but in a way that doesn't significantly affect wall time. Namely, doing `mlr cat` on a million-record data file on my bargain-value MacBook Pro, the C version takes about 2.5 seconds and the Go version takes about 3 seconds. So in terms of wall time -- which is what we care most about, how long we have to wait -- it's about the same.
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A way to look a little deeper at resource usage is to run `htop`, while processing a 10x larger file, so it'll take 25 or 30 seconds rather than 2.5 or 3. This way we can look at the steady-state resource consumption. I found that the C version -- which is purely single-threaded -- is taking 100% CPU. And the Go version, which uses concurrency and channels and `MAXPROCS=4`, with reader/transformer/writer each on their own CPU, is taking about 240% CPU. So Go-Miller is taking up not just a little more CPU, but a lot more -- yet, it does more work in parallel, and finishes the job in about the same amount of time.
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Even commodity hardware has multiple CPUs these days -- and the Go code is *much* easier to read, extend, and improve than the C code -- so I'll call this a net win for Miller.
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# Developer information
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## Source-code goals
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Donald Knuth famously said: *Programs are meant to be read by humans and only incidentally for computers to execute.*
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During the coding of Miller, I've been guided by the following:
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* *Miller should be pleasant to read.*
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* If you want to fix a bug, you should be able to quickly and confidently find out where and how.
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* If you want to learn something about Go channels, or lexing/parsing in Go -- especially if you don't already know much about them -- the comments should help you learn what you want to.
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* If you're the kind of person who reads other people's code for fun, well, the code should be fun, as well as readable.
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* `README.md` files throughout the directory tree are intended to give you a sense of what is where, what to read first and and what doesn't need reading right away, and so on -- so you spend a minimum of time being confused or frustrated.
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* Names of files, variables, functions, etc. should be fully spelled out (e.g. `NewEvaluableLeafNode`), except for a small number of most-used names where a longer name would cause unnecessary line-wraps (e.g. `Mlrval` instead of `MillerValue` since this appears very very often).
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* Code should not be too clever. This includes some reasonable amounts of code duplication from time to time, to keep things inline, rather than lasagna code.
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* Things should be transparent. For example, `mlr -n put -v '$y = 3 + 0.1 * $x'` shows you the abstract syntax tree derived from the DSL expression.
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* Comments should be robust with respect to reasonably anticipated changes. For example, one package should cross-link to another in its comments, but I try to avoid mentioning specific filenames too much in the comments and README files since these may change over time. I make an exception for stable points such as [mlr.go](./mlr.go), [mlr.bnf](./src/parsing/mlr.bnf), [stream.go](./src/stream/stream.go), etc.
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* *Miller should be pleasant to write.*
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* It should be quick to answer the question *Did I just break anything?* -- hence the `build` and `reg_test/run` regression scripts.
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* It should be quick to find out what to do next as you iteratively develop -- see for example [cst/README.md](https://github.com/johnkerl/miller/blob/master/go/src/dsl/cst/README.md).
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* *The language should be an asset, not a liability.*
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* One of the reasons I chose Go is that (personally anyway) I find it to be reasonably efficient, well-supported with standard libraries, straightforward, and fun. I hope you enjoy it as much as I have.
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## Directory structure
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Information here is for the benefit of anyone reading/using the Miller Go code. To use the Miller tool at the command line, you don't need to know any of this if you don't want to. :)
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## Directory-structure overview
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Miller is a multi-format record-stream processor, where a **record** is a
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sequence of key-value pairs. The basic **stream** operation is:
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* **read** records in some specified file format;
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* **transform** the input records to output records in some user-specified way, using a **chain** of **transformers** (also sometimes called **verbs**) -- sort, filter, cut, put, etc.;
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* **write** the records in some specified file format.
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So, in broad overview, the key packages are:
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* [src/stream](./src/stream) -- connect input -> transforms -> output via Go channels
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* [src/input](./src/input) -- read input records
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* [src/transforming](./src/transforming) -- transform input records to output records
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* [src/output](./src/output) -- write output records
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* The rest are details to support this.
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## Directory-structure details
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### Dependencies
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* Miller dependencies are all in the Go standard library, except two:
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* GOCC lexer/parser code-generator from [github.com/goccmack/gocc](https://github.com/goccmack/gocc):
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* This package defines the grammar for Miller's domain-specific language (DSL) for the Miller `put` and `filter` verbs. And, GOCC is a joy to use. :)
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* It is used on the terms of its open-source license.
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* [golang.org/x/term](https://pkg.go.dev/golang.org/x/term):
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* Just a one-line Miller callsite for is-a-terminal checking for the [Miller REPL](https://github.com/johnkerl/miller/blob/go-mod/go/src/auxents/repl/README.md).
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* It is used on the terms of its open-source license.
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* See also [./go.mod](go.mod). Setup:
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* `go get github.com/goccmack/gocc`
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* `go get golang.org/x/term`
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### Miller per se
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* The main entry point is [mlr.go](./mlr.go); everything else in [src](./src).
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* [src/lib](./src/lib):
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* Implementation of the [`Mlrval`](./src/types/mlrval.go) datatype which includes string/int/float/boolean/void/absent/error types. These are used for record values, as well as expression/variable values in the Miller `put`/`filter` DSL. See also below for more details.
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* [`Mlrmap`](./src/types/mlrmap.go) is the sequence of key-value pairs which represents a Miller record. The key-lookup mechanism is optimized for Miller read/write usage patterns -- please see [mlrmap.go](./src/types/mlrmap.go) for more details.
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* [`context`](./src/types/context.go) supports AWK-like variables such as `FILENAME`, `NF`, `NR`, and so on.
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* [src/cli](./src/cli) is the flag-parsing logic for supporting Miller's command-line interface. When you type something like `mlr --icsv --ojson put '$sum = $a + $b' then filter '$sum > 1000' myfile.csv`, it's the CLI parser which makes it possible for Miller to construct a CSV record-reader, a transformer-chain of `put` then `filter`, and a JSON record-writer.
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* [src/cliutil](./src/cliutil) contains datatypes for the CLI-parser, which was split out to avoid a Go package-import cycle.
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* [src/stream](./src/stream) is as above -- it uses Go channels to pipe together file-reads, to record-reading/parsing, to a chain of record-transformers, to record-writing/formatting, to terminal standard output.
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* [src/input](./src/input) is as above -- one record-reader type per supported input file format, and a factory method.
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* [src/output](./src/output) is as above -- one record-writer type per supported output file format, and a factory method.
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* [src/transforming](./src/transforming) contains the abstract record-transformer interface datatype, as well as the Go-channel chaining mechanism for piping one transformer into the next.
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* [src/transformers](./src/transformers) is all the concrete record-transformers such as `cat`, `tac`, `sort`, `put`, and so on. I put it here, not in `transforming`, so all files in `transformers` would be of the same type.
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* [src/parsing](./src/parsing) contains a single source file, `mlr.bnf`, which is the lexical/semantic grammar file for the Miller `put`/`filter` DSL using the GOCC framework. All subdirectories of `src/parsing/` are autogen code created by GOCC's processing of `mlr.bnf`.
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* [src/dsl](./src/dsl) contains [`ast_types.go`](src/dsl/ast_types.go) which is the abstract syntax tree datatype shared between GOCC and Miller. I didn't use a `src/dsl/ast` naming convention, although that would have been nice, in order to avoid a Go package-dependency cycle.
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* [src/dsl/cst](./src/dsl/cst) is the concrete syntax tree, constructed from an AST produced by GOCC. The CST is what is actually executed on every input record when you do things like `$z = $x * 0.3 * $y`. Please see the [src/dsl/cst/README.md](./src/dsl/cst/README.md) for more information.
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## Nil-record conventions
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Through out the code, records are passed by reference (as are most things, for
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that matter, to reduce unnecessary data copies). In particular, records can be
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nil through the reader/transformer/writer sequence.
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* Record-readers produce an end-of-stream marker (within the `RecordAndContext` struct) to signify end of input stream.
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* Each transformer takes a record-pointer as input and produces a sequence of zero or more record-pointers.
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* Many transformers, such as `cat`, `cut`, `rename`, etc. produce one output record per input record.
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* The `filter` transformer produces one or zero output records per input record depending on whether the record passed the filter.
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* The `nothing` transformer produces zero output records.
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* The `sort` and `tac` transformers are *non-streaming* -- they produce zero output records per input record, and instead retain each input record in a list. Then, when the end-of-stream marker is received, they sort/reverse the records and emit them, then they emit the end-of-stream marker.
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* Many transformers such as `stats1` and `count` also retain input records, then produce output once there is no more input to them.
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* An end-of-stream marker is passed to record-writers so that they may produce final output.
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* Most writers produce their output one record at a time.
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* The pretty-print writer produces no output until end of stream (or schema change), since it needs to compute the max width down each column.
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## Memory management
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* Go has garbage collection which immediately simplifies the coding compared to the C port.
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* Pointers are used freely for record-processing: record-readers allocate pointed records; pointed records are passed on Go channels from record-readers to record-transformers to record-writers.
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* Any transformer which passes an input record through is fine -- be it unmodifed as in `mlr cat` or modified as in `mlr cut`.
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* If a transformer drops a record (`mlr filter` in false cases, for example, or `mlr nothing`) it will be GCed.
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* One caveat is any transformer which produces multiples, e.g. `mlr repeat` -- this needs to explicitly copy records instead of producing multiple pointers to the same record.
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* Right-hand-sides of DSL expressions all pass around pointers to records and Mlrvals.
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* Lvalue expressions return pointed `*types.Mlrmap` so they can be assigned to; rvalue expressions return non-pointed `types.Mlrval` but these are very shallow copies -- the int/string/etc types are copied but maps/arrays are passed by reference in the rvalue expression-evaluators.
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* Copy-on-write is done on map/array put -- for example, in the assignment phase of a DSL statement, where an rvalue is assigned to an lvalue.
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## More about mlrvals
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[`Mlrval`](./src/types/mlrval.go) is the datatype of record values, as well as expression/variable values in the Miller `put`/`filter` DSL. It includes string/int/float/boolean/void/absent/error types, not unlike PHP's `zval`.
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* Miller's `absent` type is like Javascript's `undefined` -- it's for times when there is no such key, as in a DSL expression `$out = $foo` when the input record is `$x=3,y=4` -- there is no `$foo` so `$foo` has `absent` type. Nothing is written to the `$out` field in this case. See also [here](http://johnkerl.org/miller/doc/reference.html#Null_data:_empty_and_absent) for more information.
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* Miller's `void` type is like Javascript's `null` -- it's for times when there is a key with no value, as in `$out = $x` when the input record is `$x=,$y=4`. This is an overlap with `string` type, since a void value looks like an empty string. I've gone back and forth on this (including when I was writing the C implementation) -- whether to retain `void` as a distinct type from empty-string, or not. I ended up keeping it as it made the `Mlrval` logic easier to understand.
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* Miller's `error` type is for things like doing type-uncoerced addition of strings. Data-dependent errors are intended to result in `(error)`-valued output, rather than crashing Miller. See also [here](http://johnkerl.org/miller/doc/reference.html#Data_types) for more information.
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* Miller's number handling makes auto-overflow from int to float transparent, while preserving the possibility of 64-bit bitwise arithmetic.
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* This is different from JavaScript, which has only double-precision floats and thus no support for 64-bit numbers (note however that there is now [`BigInt`](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/BigInt)).
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* This is also different from C and Go, wherein casts are necessary -- without which int arithmetic overflows.
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* See also [here](http://johnkerl.org/miller/doc/reference.html#Arithmetic) for the semantics of Miller arithmetic, which the [`Mlrval`](./src/types/mlrval.go) class implements.
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## Software-testing methodology
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See [./reg-test/README.md](./reg-test/README.md).
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## Source-code indexing
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Please see https://sourcegraph.com/github.com/johnkerl/miller
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As of 2021-03-24 I moved this out of the `../go` tree. It doesn't compile anymore, and would need some dependency work to compile again.
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