fakecloud-timestream 0.41.0

Amazon Timestream (Write + Query) implementation for FakeCloud
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
//! A real, bounded SQL handler for Amazon Timestream `Query`.
//!
//! A faithful Timestream SQL engine (the full Trino-derived time-series
//! dialect) is out of scope. This module implements a genuine interpreter for
//! the query shapes the SDK, e2e, and conformance exercise, over the points
//! ingested by `WriteRecords`:
//!
//! * `SELECT * FROM "db"."table"` -- every stored point as a row, with
//!   AWS-shaped `ColumnInfo`/`Datum` typing: one `VARCHAR` column per dimension
//!   name, `measure_name` (`VARCHAR`), a `measure_value::<type>` column per
//!   measure value type present, and `time` (`TIMESTAMP`).
//! * `SELECT COUNT(*) FROM "db"."table"` -- a single `BIGINT` row.
//! * optional `WHERE time <op> ago(<n><unit>)` time filter.
//! * optional `ORDER BY time [ASC|DESC]`.
//! * optional `LIMIT <n>`.
//!
//! Anything outside this subset returns [`QueryError::Validation`] naming the
//! unsupported construct, so a caller never gets a wrong or silently-empty
//! success for a query the engine cannot actually run.

use std::sync::OnceLock;

use regex::Regex;
use serde_json::{json, Value};

use crate::state::StoredRecord;

/// What the `SELECT` list projects.
#[derive(Debug, Clone, PartialEq, Eq)]
pub enum Projection {
    /// `SELECT *`
    Star,
    /// `SELECT COUNT(*)`
    CountStar,
}

/// A comparison operator in a `WHERE time <op> ...` clause.
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum CmpOp {
    Gt,
    Ge,
    Lt,
    Le,
    Eq,
}

/// A parsed, executable query plan.
#[derive(Debug, Clone)]
pub struct Plan {
    pub database: String,
    pub table: String,
    pub projection: Projection,
    /// `(op, threshold_nanos)` derived from `WHERE time <op> ago(...)`.
    pub time_filter: Option<(CmpOp, i128)>,
    /// `Some(true)` = `ORDER BY time DESC`, `Some(false)` = ASC.
    pub order_desc: Option<bool>,
    pub limit: Option<usize>,
}

/// Why a query could not be planned/run.
#[derive(Debug, Clone, PartialEq, Eq)]
pub enum QueryError {
    /// A construct outside the supported subset, or a malformed query.
    Validation(String),
}

impl QueryError {
    pub fn message(&self) -> &str {
        match self {
            QueryError::Validation(m) => m,
        }
    }
}

/// The materialized result of a plan: AWS-shaped `ColumnInfo` list and `Row`
/// list, both ready to drop straight into the `Query` response JSON.
#[derive(Debug, Clone)]
pub struct QueryResult {
    pub columns: Vec<Value>,
    pub rows: Vec<Value>,
}

fn re_from() -> &'static Regex {
    static R: OnceLock<Regex> = OnceLock::new();
    R.get_or_init(|| Regex::new(r#"(?i)\bfrom\s+"?([^"\s.]+)"?\s*\.\s*"?([^"\s.]+)"?"#).unwrap())
}

fn re_select() -> &'static Regex {
    static R: OnceLock<Regex> = OnceLock::new();
    R.get_or_init(|| Regex::new(r#"(?is)^\s*select\s+(.*?)\s+from\b"#).unwrap())
}

fn re_count() -> &'static Regex {
    static R: OnceLock<Regex> = OnceLock::new();
    R.get_or_init(|| Regex::new(r#"(?i)^count\s*\(\s*\*\s*\)$"#).unwrap())
}

fn re_where_time() -> &'static Regex {
    static R: OnceLock<Regex> = OnceLock::new();
    R.get_or_init(|| {
        Regex::new(r#"(?i)\bwhere\s+time\s*(>=|<=|>|<|=)\s*ago\s*\(\s*(\d+)\s*([a-zA-Z]+)\s*\)"#)
            .unwrap()
    })
}

fn re_where_any() -> &'static Regex {
    static R: OnceLock<Regex> = OnceLock::new();
    R.get_or_init(|| Regex::new(r#"(?i)\bwhere\b"#).unwrap())
}

fn re_order() -> &'static Regex {
    static R: OnceLock<Regex> = OnceLock::new();
    R.get_or_init(|| Regex::new(r#"(?i)\border\s+by\s+([A-Za-z0-9_]+)(?:\s+(asc|desc))?"#).unwrap())
}

fn re_limit() -> &'static Regex {
    static R: OnceLock<Regex> = OnceLock::new();
    R.get_or_init(|| Regex::new(r#"(?i)\blimit\s+(\d+)"#).unwrap())
}

/// Parse a single-unit `ago(<n><unit>)` duration into nanoseconds.
fn unit_nanos(unit: &str) -> Option<i128> {
    let n: i128 = match unit.to_lowercase().as_str() {
        "ns" | "nanosecond" | "nanoseconds" => 1,
        "us" | "microsecond" | "microseconds" => 1_000,
        "ms" | "millisecond" | "milliseconds" => 1_000_000,
        "s" | "sec" | "second" | "seconds" => 1_000_000_000,
        "m" | "min" | "minute" | "minutes" => 60 * 1_000_000_000,
        "h" | "hour" | "hours" => 3_600 * 1_000_000_000,
        "d" | "day" | "days" => 86_400 * 1_000_000_000,
        _ => return None,
    };
    Some(n)
}

fn now_nanos() -> i128 {
    chrono::Utc::now().timestamp_nanos_opt().unwrap_or(0) as i128
}

/// Parse a Timestream `SELECT` into an executable [`Plan`], or return a
/// [`QueryError::Validation`] naming the unsupported construct.
pub fn parse_query(sql: &str) -> Result<Plan, QueryError> {
    let trimmed = sql.trim().trim_end_matches(';').trim();
    if trimmed.is_empty() {
        return Err(QueryError::Validation("The query string is empty.".into()));
    }

    let select_caps = re_select().captures(trimmed).ok_or_else(|| {
        QueryError::Validation(
            "Only 'SELECT ... FROM \"database\".\"table\"' queries are supported.".into(),
        )
    })?;
    let select_list = select_caps[1].trim();

    let projection = if select_list == "*" {
        Projection::Star
    } else if re_count().is_match(select_list) {
        Projection::CountStar
    } else {
        return Err(QueryError::Validation(format!(
            "Unsupported projection '{select_list}'. Supported: '*' or 'COUNT(*)'."
        )));
    };

    let from_caps = re_from().captures(trimmed).ok_or_else(|| {
        QueryError::Validation(
            "Missing or malformed FROM clause; expected FROM \"database\".\"table\".".into(),
        )
    })?;
    let database = from_caps[1].to_string();
    let table = from_caps[2].to_string();

    // WHERE handling: accept only `WHERE time <op> ago(<n><unit>)`. Any other
    // WHERE shape is outside the supported subset.
    let time_filter = if re_where_any().is_match(trimmed) {
        let caps = re_where_time().captures(trimmed).ok_or_else(|| {
            QueryError::Validation(
                "Unsupported WHERE clause. Supported: WHERE time <op> ago(<n><unit>).".into(),
            )
        })?;
        let op = match &caps[1] {
            ">" => CmpOp::Gt,
            ">=" => CmpOp::Ge,
            "<" => CmpOp::Lt,
            "<=" => CmpOp::Le,
            "=" => CmpOp::Eq,
            other => {
                return Err(QueryError::Validation(format!(
                    "Unsupported comparison operator '{other}'."
                )))
            }
        };
        let n: i128 = caps[2].parse().map_err(|_| {
            QueryError::Validation(format!("Invalid duration magnitude '{}'.", &caps[2]))
        })?;
        let unit = &caps[3];
        let per = unit_nanos(unit).ok_or_else(|| {
            QueryError::Validation(format!("Unsupported ago() time unit '{unit}'."))
        })?;
        Some((op, now_nanos() - n * per))
    } else {
        None
    };

    let order_desc = if let Some(caps) = re_order().captures(trimmed) {
        let col = caps[1].to_lowercase();
        if col != "time" {
            return Err(QueryError::Validation(format!(
                "ORDER BY is only supported on the 'time' column, not '{}'.",
                &caps[1]
            )));
        }
        Some(
            caps.get(2)
                .map(|m| m.as_str().eq_ignore_ascii_case("desc"))
                .unwrap_or(false),
        )
    } else {
        None
    };

    let limit = re_limit()
        .captures(trimmed)
        .and_then(|c| c[1].parse::<usize>().ok());

    Ok(Plan {
        database,
        table,
        projection,
        time_filter,
        order_desc,
        limit,
    })
}

/// Map a Timestream measure value type onto the scalar column type name.
fn scalar_type_for_measure(ty: &str) -> &'static str {
    match ty {
        "DOUBLE" => "DOUBLE",
        "BIGINT" => "BIGINT",
        "BOOLEAN" => "BOOLEAN",
        "TIMESTAMP" => "TIMESTAMP",
        _ => "VARCHAR",
    }
}

/// Format an epoch-nanoseconds instant as Timestream's timestamp literal,
/// `YYYY-MM-DD HH:MM:SS.fffffffff`.
fn format_timestamp(nanos: i128) -> String {
    let secs = (nanos.div_euclid(1_000_000_000)) as i64;
    let sub = (nanos.rem_euclid(1_000_000_000)) as u32;
    match chrono::DateTime::from_timestamp(secs, sub) {
        Some(dt) => dt.format("%Y-%m-%d %H:%M:%S%.9f").to_string(),
        None => "1970-01-01 00:00:00.000000000".to_string(),
    }
}

fn scalar(v: &str) -> Value {
    json!({ "ScalarValue": v })
}

fn null_datum() -> Value {
    json!({ "NullValue": true })
}

/// Execute a [`Plan`] against a table's ingested points, producing the
/// AWS-shaped `ColumnInfo` + `Row` lists.
pub fn execute(plan: &Plan, records: &[StoredRecord]) -> QueryResult {
    // Apply the time filter.
    let mut filtered: Vec<&StoredRecord> = records
        .iter()
        .filter(|r| match plan.time_filter {
            None => true,
            Some((op, threshold)) => match op {
                CmpOp::Gt => r.time_nanos > threshold,
                CmpOp::Ge => r.time_nanos >= threshold,
                CmpOp::Lt => r.time_nanos < threshold,
                CmpOp::Le => r.time_nanos <= threshold,
                CmpOp::Eq => r.time_nanos == threshold,
            },
        })
        .collect();

    // ORDER BY time.
    if let Some(desc) = plan.order_desc {
        filtered.sort_by(|a, b| {
            if desc {
                b.time_nanos.cmp(&a.time_nanos)
            } else {
                a.time_nanos.cmp(&b.time_nanos)
            }
        });
    }

    if let Projection::CountStar = plan.projection {
        let count = plan
            .limit
            .map(|l| filtered.len().min(l))
            .unwrap_or(filtered.len());
        return QueryResult {
            columns: vec![json!({ "Name": "_col0", "Type": { "ScalarType": "BIGINT" } })],
            rows: vec![json!({ "Data": [scalar(&count.to_string())] })],
        };
    }

    // SELECT *: derive the dimension columns and the measure value type columns
    // present across the (filtered) result set, deterministically ordered.
    if let Some(limit) = plan.limit {
        filtered.truncate(limit);
    }

    let mut dim_names: Vec<String> = Vec::new();
    let mut measure_types: Vec<String> = Vec::new();
    for r in &filtered {
        for (name, _) in &r.dimensions {
            if !dim_names.iter().any(|d| d == name) {
                dim_names.push(name.clone());
            }
        }
        if !measure_types.iter().any(|t| t == &r.measure_value_type) {
            measure_types.push(r.measure_value_type.clone());
        }
    }
    dim_names.sort();
    measure_types.sort();

    let mut columns: Vec<Value> = Vec::new();
    for d in &dim_names {
        columns.push(json!({ "Name": d, "Type": { "ScalarType": "VARCHAR" } }));
    }
    columns.push(json!({ "Name": "measure_name", "Type": { "ScalarType": "VARCHAR" } }));
    for t in &measure_types {
        columns.push(json!({
            "Name": format!("measure_value::{}", t.to_lowercase()),
            "Type": { "ScalarType": scalar_type_for_measure(t) }
        }));
    }
    columns.push(json!({ "Name": "time", "Type": { "ScalarType": "TIMESTAMP" } }));

    let mut rows: Vec<Value> = Vec::with_capacity(filtered.len());
    for r in &filtered {
        let mut data: Vec<Value> = Vec::with_capacity(columns.len());
        for d in &dim_names {
            match r.dimensions.iter().find(|(n, _)| n == d) {
                Some((_, v)) => data.push(scalar(v)),
                None => data.push(null_datum()),
            }
        }
        data.push(scalar(&r.measure_name));
        for t in &measure_types {
            if &r.measure_value_type == t {
                data.push(scalar(&r.measure_value));
            } else {
                data.push(null_datum());
            }
        }
        data.push(scalar(&format_timestamp(r.time_nanos)));
        rows.push(json!({ "Data": data }));
    }

    QueryResult { columns, rows }
}

#[cfg(test)]
mod tests {
    use super::*;

    fn rec(dims: &[(&str, &str)], mn: &str, mv: &str, ty: &str, t: i128) -> StoredRecord {
        StoredRecord {
            time_nanos: t,
            dimensions: dims
                .iter()
                .map(|(a, b)| (a.to_string(), b.to_string()))
                .collect(),
            measure_name: mn.to_string(),
            measure_value: mv.to_string(),
            measure_value_type: ty.to_string(),
        }
    }

    #[test]
    fn parse_select_star() {
        let p = parse_query(r#"SELECT * FROM "metrics"."cpu""#).unwrap();
        assert_eq!(p.database, "metrics");
        assert_eq!(p.table, "cpu");
        assert_eq!(p.projection, Projection::Star);
    }

    #[test]
    fn parse_count_and_order_and_limit() {
        let p = parse_query(r#"SELECT COUNT(*) FROM "m"."t" ORDER BY time DESC LIMIT 10"#).unwrap();
        assert_eq!(p.projection, Projection::CountStar);
        assert_eq!(p.order_desc, Some(true));
        assert_eq!(p.limit, Some(10));
    }

    #[test]
    fn parse_where_ago() {
        let p = parse_query(r#"SELECT * FROM "m"."t" WHERE time > ago(1h)"#).unwrap();
        assert!(matches!(p.time_filter, Some((CmpOp::Gt, _))));
    }

    #[test]
    fn unsupported_projection_is_validation() {
        let e = parse_query(r#"SELECT avg(x) FROM "m"."t""#).unwrap_err();
        assert!(e.message().contains("Unsupported projection"));
    }

    #[test]
    fn unsupported_where_is_validation() {
        let e = parse_query(r#"SELECT * FROM "m"."t" WHERE host = 'a'"#).unwrap_err();
        assert!(e.message().contains("Unsupported WHERE"));
    }

    #[test]
    fn execute_star_projects_dimension_measure_time() {
        let recs = vec![
            rec(&[("host", "a")], "cpu", "1.5", "DOUBLE", 1_000_000_000),
            rec(&[("host", "b")], "cpu", "2.5", "DOUBLE", 2_000_000_000),
        ];
        let p = parse_query(r#"SELECT * FROM "m"."t" ORDER BY time ASC"#).unwrap();
        let out = execute(&p, &recs);
        let col_names: Vec<&str> = out
            .columns
            .iter()
            .map(|c| c["Name"].as_str().unwrap())
            .collect();
        assert_eq!(
            col_names,
            vec!["host", "measure_name", "measure_value::double", "time"]
        );
        assert_eq!(out.rows.len(), 2);
        assert_eq!(out.rows[0]["Data"][0]["ScalarValue"], "a");
    }

    #[test]
    fn execute_count() {
        let recs = vec![
            rec(&[("host", "a")], "cpu", "1", "DOUBLE", 1),
            rec(&[("host", "b")], "cpu", "2", "DOUBLE", 2),
        ];
        let p = parse_query(r#"SELECT COUNT(*) FROM "m"."t""#).unwrap();
        let out = execute(&p, &recs);
        assert_eq!(out.rows.len(), 1);
        assert_eq!(out.rows[0]["Data"][0]["ScalarValue"], "2");
    }

    #[test]
    fn execute_limit_truncates() {
        let recs = vec![
            rec(&[("host", "a")], "cpu", "1", "DOUBLE", 1),
            rec(&[("host", "b")], "cpu", "2", "DOUBLE", 2),
            rec(&[("host", "c")], "cpu", "3", "DOUBLE", 3),
        ];
        let p = parse_query(r#"SELECT * FROM "m"."t" ORDER BY time ASC LIMIT 2"#).unwrap();
        let out = execute(&p, &recs);
        assert_eq!(out.rows.len(), 2);
    }
}