awkrs 0.4.0

Awk implementation in Rust with broad CLI compatibility, parallel records, and experimental Cranelift JIT
Documentation
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          <h1 class="tutorial-brand">// AWKRS — AWK IN RUST</h1>
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          <p class="docs-build-line" id="awkrsBuildLine">awkrs v0.1.39 · Rust-powered · Parallel records · Cranelift JIT · gawk/mawk/nawk compatible</p>
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      <h2 class="tutorial-title"><span class="step-hash">&gt;_</span>AWKRS REFERENCE</h2>
      <p class="tutorial-subtitle">A fast AWK implementation written in Rust. Bytecode VM with optional Cranelift JIT, parallel record processing with rayon, and broad CLI compatibility with gawk, mawk, and nawk. Drop-in replacement for text processing pipelines.</p>

      <section class="tutorial-section">
        <h2>Quickstart</h2>
        <p>Install from crates.io or build from source, then use <code>aw</code> (short) or <code>awkrs</code>:</p>
<pre># install
cargo install awkrs

# from source
git clone https://github.com/MenkeTechnologies/awkrs
cd awkrs &amp;&amp; cargo build

# one-liners
aw 'BEGIN { print "hello, world" }'
aw -F: '{ print $1 }' /etc/passwd
aw '{ sum += $1 } END { print sum }' numbers.txt
echo "1 2 3" | aw '{ print $1 + $2 + $3 }'

# field processing
ls -l | aw 'NR &gt; 1 { total += $5 } END { print total }'

# pattern matching
aw '/error/i { print FILENAME ":" NR ":" $0 }' *.log</pre>
        <p>Full install + usage live in the <a href="https://github.com/MenkeTechnologies/awkrs#readme">README</a>.</p>
      </section>

      <section class="tutorial-section">
        <h2>Why awkrs — Feature Comparison</h2>
        <table class="comparison-table" style="width:100%; border-collapse:collapse; font-size:0.85em;">
          <thead>
            <tr style="border-bottom:2px solid #0ff;">
              <th style="text-align:left; padding:4px;">Feature</th>
              <th style="padding:4px;">awkrs</th>
              <th style="padding:4px;">gawk</th>
              <th style="padding:4px;">mawk</th>
              <th style="padding:4px;">nawk</th>
            </tr>
          </thead>
          <tbody>
            <tr><td>Parallel records</td><td style="color:#0f0;">&#10003;</td><td>&#10007;</td><td>&#10007;</td><td>&#10007;</td></tr>
            <tr><td>JIT compilation</td><td style="color:#0f0;">Cranelift</td><td>&#10007;</td><td>&#10007;</td><td>&#10007;</td></tr>
            <tr><td>Bytecode VM</td><td style="color:#0f0;">&#10003;</td><td>&#10003;</td><td>&#10003;</td><td>&#10007;</td></tr>
            <tr><td>Persistent bytecode cache</td><td style="color:#0f0;">&#10003;</td><td>&#10007;</td><td>&#10007;</td><td>&#10007;</td></tr>
            <tr><td>Unicode support</td><td style="color:#0f0;">&#10003;</td><td>&#10003;</td><td>partial</td><td>&#10007;</td></tr>
            <tr><td>CSV mode</td><td style="color:#0f0;">&#10003;</td><td>&#10003;</td><td>&#10007;</td><td>&#10007;</td></tr>
            <tr><td>Regex backrefs</td><td style="color:#0f0;">&#10003;</td><td>&#10003;</td><td>&#10007;</td><td>&#10007;</td></tr>
            <tr><td>Time functions</td><td style="color:#0f0;">&#10003;</td><td>&#10003;</td><td>&#10007;</td><td>&#10007;</td></tr>
            <tr><td>I18N (gettext)</td><td style="color:#0f0;">&#10003;</td><td>&#10003;</td><td>&#10007;</td><td>&#10007;</td></tr>
            <tr><td>Network I/O</td><td style="color:#0f0;">&#10003;</td><td>&#10003;</td><td>&#10007;</td><td>&#10007;</td></tr>
            <tr><td>Single binary</td><td style="color:#0f0;">~8MB</td><td>pkg</td><td>~200KB</td><td>pkg</td></tr>
            <tr><td>Memory safety</td><td style="color:#0f0;">Rust</td><td>C</td><td>C</td><td>C</td></tr>
          </tbody>
        </table>
      </section>

      <section class="tutorial-section">
        <h2>Overview</h2>
        <ul>
          <li><strong>Parser &amp; compiler</strong> — recursive-descent parser producing an AST, compiled to bytecode for the VM. Hot paths can be JIT-compiled via Cranelift.</li>
          <li><strong>Values</strong> — AWK values (string/number/uninitialized) with automatic coercion. Arrays are associative (hash maps).</li>
          <li><strong>Regex</strong> — three-tier engine: Rust <code>regex</code><code>fancy-regex</code> (backrefs) → <code>pcre2</code> (advanced).</li>
          <li><strong>Parallelism</strong><code>-P</code> flag enables parallel record processing via rayon work-stealing.</li>
          <li><strong>Bytecode cache</strong><code>-f script.awk</code> runs memoize compiled bytecode to <code>~/.awkrs/scripts.bin</code>; repeat invocations skip lex/parse/compile.</li>
          <li><strong>Binary size</strong> — ~8MB stripped with LTO.</li>
        </ul>
      </section>

      <section class="tutorial-section">
        <h2>Built-in Variables</h2>
        <table class="reflection-table">
          <thead>
            <tr><th>Variable</th><th>Description</th></tr>
          </thead>
          <tbody>
            <tr><td><code>$0</code></td><td>Current input record (entire line)</td></tr>
            <tr><td><code>$1, $2, ...</code></td><td>Fields of the current record</td></tr>
            <tr><td><code>NF</code></td><td>Number of fields in current record</td></tr>
            <tr><td><code>NR</code></td><td>Total number of records read so far</td></tr>
            <tr><td><code>FNR</code></td><td>Record number in current file</td></tr>
            <tr><td><code>FILENAME</code></td><td>Name of current input file</td></tr>
            <tr><td><code>FS</code></td><td>Input field separator (default: space)</td></tr>
            <tr><td><code>RS</code></td><td>Input record separator (default: newline)</td></tr>
            <tr><td><code>OFS</code></td><td>Output field separator</td></tr>
            <tr><td><code>ORS</code></td><td>Output record separator</td></tr>
            <tr><td><code>OFMT</code></td><td>Output format for numbers</td></tr>
            <tr><td><code>CONVFMT</code></td><td>Conversion format for numbers</td></tr>
            <tr><td><code>SUBSEP</code></td><td>Subscript separator for arrays</td></tr>
            <tr><td><code>RSTART</code></td><td>Start of match from <code>match()</code></td></tr>
            <tr><td><code>RLENGTH</code></td><td>Length of match from <code>match()</code></td></tr>
            <tr><td><code>ARGC, ARGV</code></td><td>Command-line argument count and array</td></tr>
            <tr><td><code>ENVIRON</code></td><td>Environment variables array</td></tr>
          </tbody>
        </table>
      </section>

      <section class="tutorial-section">
        <h2>Built-in Functions</h2>
        <div class="cat-grid">
          <div class="cat-card"><h4>String</h4><p><code>length gsub sub match split substr index sprintf tolower toupper</code></p></div>
          <div class="cat-card"><h4>Math</h4><p><code>sin cos atan2 exp log sqrt int rand srand</code></p></div>
          <div class="cat-card"><h4>I/O</h4><p><code>print printf getline close fflush system</code></p></div>
          <div class="cat-card"><h4>Time (gawk)</h4><p><code>systime mktime strftime</code></p></div>
          <div class="cat-card"><h4>Bit ops (gawk)</h4><p><code>and or xor compl lshift rshift</code></p></div>
          <div class="cat-card"><h4>Type (gawk)</h4><p><code>typeof isarray</code></p></div>
          <div class="cat-card"><h4>Array (gawk)</h4><p><code>asort asorti delete</code></p></div>
          <div class="cat-card"><h4>Regex (gawk)</h4><p><code>gensub patsplit</code></p></div>
        </div>
      </section>

      <section class="tutorial-section">
        <h2>Examples</h2>
        <h3>Field extraction</h3>
        <div class="oneliner">aw -F: '{ print $1, $3 }' /etc/passwd   <span class="comment"># username and UID</span></div>
        <div class="oneliner">aw '{ print $NF }' file.txt            <span class="comment"># last field of each line</span></div>

        <h3>Aggregation</h3>
        <div class="oneliner">aw '{ sum += $1 } END { print sum }' numbers.txt</div>
        <div class="oneliner">aw '{ count[$1]++ } END { for (k in count) print k, count[k] }' data.txt</div>

        <h3>Pattern matching</h3>
        <div class="oneliner">aw '/^#/ { next } { print }' config.txt  <span class="comment"># skip comments</span></div>
        <div class="oneliner">aw 'NR == 1 || /error/' log.txt         <span class="comment"># header + error lines</span></div>

        <h3>Text transformation</h3>
        <div class="oneliner">aw '{ gsub(/foo/, "bar"); print }' file.txt</div>
        <div class="oneliner">aw 'BEGIN { OFS="," } { $1=$1; print }' file.txt  <span class="comment"># to CSV</span></div>

        <h3>Multi-file processing</h3>
        <div class="oneliner">aw 'FNR == 1 { print "--- " FILENAME " ---" } { print }' *.txt</div>
      </section>

      <section class="tutorial-section">
        <h2>CLI Flags</h2>
<pre>-f FILE            # read program from file
-F FS              # set field separator
-v VAR=VAL         # set variable before execution
-b                 # binary mode (no UTF-8)
-c                 # CSV mode
-d                 # debug: dump variables
-e PROG            # program text (multiple allowed)
-E FILE            # like -f, but different variable handling
-g                 # GNU regex mode
-i FILE            # include file (library)
-k                 # CSV mode with header
-l LIB             # load extension library
-M                 # arbitrary precision math
-n                 # no implicit input loop
-N                 # decimal context for -M
-o FILE            # pretty-print to file
-O                 # optimize (enable JIT)
-p FILE            # profile output
-P                 # POSIX mode
-r                 # extended regex (ERE)
-s                 # sandbox mode
-S                 # sandbox + safe mode
-t                 # lint-old compatibility warnings
-V                 # version
-W OPT             # gawk-style option</pre>
      </section>

      <section class="tutorial-section">
        <h2>Parallel Processing</h2>
        <p>Use <code>-P</code> or <code>--parallel</code> to enable parallel record processing. Each record is processed independently using rayon work-stealing across all CPU cores.</p>
<pre># process large file in parallel
aw -P '{ complex_computation($0) }' huge_file.txt

# parallel aggregation (thread-safe)
aw -P '{ sum += $1 } END { print sum }' data.txt</pre>
        <p>Note: Parallel mode may reorder output. Use <code>-P -s</code> for sorted output by record number.</p>
      </section>

      <section class="tutorial-section">
        <h2>Bytecode Cache</h2>
        <p>Based on a survey of the major public awk implementations (BWK awk, gawk, mawk, goawk, frawk, zawk), awkrs appears to be the <strong>first awk implementation to combine a bytecode VM, a JIT compiler, and a persistent on-disk bytecode cache</strong>. frawk is the closest prior art — it has VM + Cranelift/LLVM JIT — but re-compiles on every invocation. gawk's <em>pm-gawk</em> persists script variables, not compiled bytecode.</p>
        <table class="comparison-table" style="width:100%; border-collapse:collapse; font-size:0.85em; margin-bottom:12px;">
          <thead>
            <tr style="border-bottom:2px solid #0ff;">
              <th style="text-align:left; padding:4px;">Implementation</th>
              <th style="padding:4px;">Bytecode VM</th>
              <th style="padding:4px;">JIT</th>
              <th style="padding:4px;">Persistent bytecode cache</th>
            </tr>
          </thead>
          <tbody>
            <tr><td>BWK awk (one-true-awk)</td><td>&#10007;</td><td>&#10007;</td><td>&#10007;</td></tr>
            <tr><td>gawk</td><td>&#10003;</td><td>&#10007;</td><td>&#10007;</td></tr>
            <tr><td>mawk</td><td>&#10003;</td><td>&#10007;</td><td>&#10007;</td></tr>
            <tr><td>goawk</td><td>&#10003;</td><td>&#10007;</td><td>&#10007;</td></tr>
            <tr><td>frawk</td><td>&#10003;</td><td>&#10003; (Cranelift + LLVM)</td><td>&#10007;</td></tr>
            <tr><td>zawk (frawk fork)</td><td>&#10003;</td><td>&#10003; (Cranelift + LLVM)</td><td>&#10007;</td></tr>
            <tr style="background:rgba(0,255,0,0.05);"><td><strong>awkrs</strong></td><td style="color:#0f0;">&#10003;</td><td style="color:#0f0;">&#10003; (Cranelift)</td><td style="color:#0f0;">&#10003;</td></tr>
          </tbody>
        </table>
        <p>Invocations of the form <code>awkrs -f script.awk ...</code> memoize the compiled <code>CompiledProgram</code> to a single bincode shard at <code>~/.awkrs/scripts.bin</code>. On the 2nd+ run of the same script, awkrs skips lex/parse/compile entirely — load is bincode-deserialize plus an mtime check.</p>
<pre># 1st run: parse + compile + populate ~/.awkrs/scripts.bin
awkrs -f script.awk input.txt

# 2nd run: cache hit, skips parse/compile
awkrs -f script.awk input.txt

# disable the cache for one run
AWKRS_CACHE=0 awkrs -f script.awk input.txt

# wipe the cache
rm ~/.awkrs/scripts.bin</pre>
        <p><strong>Invalidation</strong> is automatic and silent:</p>
        <ul>
          <li><strong>Source mtime change</strong> — editing <code>script.awk</code> causes the next run to miss and recompile.</li>
          <li><strong>Binary mtime newer than entry</strong> — rebuilding awkrs (any <code>cargo install</code> / <code>cargo build</code>) invalidates every entry so old bytecode never runs against new code.</li>
          <li><strong>Schema / version drift</strong> — package version, format-version byte, and host pointer width are all validated; a fresh shard is written on mismatch.</li>
        </ul>
        <p><strong>Engagement criteria</strong> — the cache only kicks in for the simple <code>-f script.awk</code> form. The following skip the cache because they need the AST or are short-lived modes:</p>
        <ul>
          <li>inline programs (<code>-e</code>/<code>--source</code>, <code>-E</code>, or bare-arg form like <code>awkrs '{print $1}' file</code>)</li>
          <li>multi-source assembly (<code>-i</code>/<code>--include</code>, <code>-l</code>/<code>--load</code>, or multiple <code>-f</code>)</li>
          <li>AST-only flags: <code>--debug</code>, <code>--lint</code>, <code>--lint-old</code>, <code>--pretty-print</code>, <code>--gen-pot</code></li>
        </ul>
        <p><strong>Storage</strong> — single file, atomic-rename writes, <code>flock(LOCK_EX)</code> on a sibling lockfile so concurrent <code>awkrs</code> processes serialize their writes. Reads are unlocked and rely on the validated header.</p>
      </section>

      <section class="tutorial-section">
        <h2>gawk Extensions</h2>
        <p>awkrs implements many gawk extensions for compatibility:</p>
        <ul>
          <li><strong>BEGINFILE / ENDFILE</strong> — run before/after each input file</li>
          <li><strong>nextfile</strong> — skip to next input file</li>
          <li><strong>@include</strong> — include another awk file</li>
          <li><strong>@namespace</strong> — namespace support</li>
          <li><strong>Typed regex</strong><code>@/regex/</code> strongly typed regex constants</li>
          <li><strong>Indirect function calls</strong><code>@func_name()</code></li>
          <li><strong>Two-way pipes</strong><code>|&amp;</code> for coprocess communication</li>
          <li><strong>Network I/O</strong><code>/inet/tcp/...</code> special files</li>
          <li><strong>Time functions</strong><code>systime()</code>, <code>mktime()</code>, <code>strftime()</code></li>
          <li><strong>Bit operations</strong><code>and()</code>, <code>or()</code>, <code>xor()</code>, etc.</li>
        </ul>
      </section>

      <section class="tutorial-section">
        <h2>Repository &amp; Links</h2>
        <ul>
          <li><strong>Source</strong><a href="https://github.com/MenkeTechnologies/awkrs">github.com/MenkeTechnologies/awkrs</a></li>
          <li><strong>Crate</strong><a href="https://crates.io/crates/awkrs">crates.io/crates/awkrs</a> (<code>cargo install awkrs</code>)</li>
          <li><strong>Rust API docs</strong><a href="https://docs.rs/awkrs">docs.rs/awkrs</a></li>
          <li><strong>Issues</strong><a href="https://github.com/MenkeTechnologies/awkrs/issues">github.com/MenkeTechnologies/awkrs/issues</a></li>
          <li><strong>Parity tests</strong><code>parity/</code> contains test cases comparing awkrs output against gawk.</li>
        </ul>
      </section>
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