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fix: harden SQL classification for the tool CLI and MCP server #1644
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
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@@ -171,13 +171,13 @@ function otherIsReadOnly(sql: string, parsed: Array<{ category: string }>, diale | |
| // Hard-deny patterns — blocked regardless of permissions | ||
| const HARD_DENY_TYPES = new Set(["DROP DATABASE", "DROP SCHEMA", "TRUNCATE", "TRUNCATE TABLE"]) | ||
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| const HARD_DENY_PATTERN = /^\s*(DROP\s+(DATABASE|SCHEMA)\b|TRUNCATE(\s+TABLE)?\b)/i | ||
| const HARD_DENY_PATTERN = /^\s*(DROP\s+((EXTERNAL|PLUGGABLE)\s+)?(DATABASE|SCHEMA|CATALOG|NAMESPACE)\b|TRUNCATE(\s+TABLE)?\b)/i | ||
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| /** | ||
| * Fail closed when the parser is unavailable or rejects the input. Lexical | ||
| * statement boundaries still enforce hard denies without reading quoted text. | ||
| */ | ||
| function classifyFallback(sql: string, dialect?: string): { queryType: "read" | "write"; blocked: boolean } { | ||
| function classifyFallback(sql: string, dialect?: string, write = true): { queryType: "read" | "write"; blocked: boolean } { | ||
| const statements = statementsOf(sql, dialect) | ||
| // Executable comments can contain entire statements or fragments of a hard | ||
| // deny. Reject them outright because generic parsers discard their bodies. | ||
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@@ -192,16 +192,20 @@ function classifyFallback(sql: string, dialect?: string): { queryType: "read" | | |
| // comment), so the words alone decide; the TRUNCATE() function does not count. | ||
| const lexical = tokenizeSql(sql, dialect) | ||
| if (!lexical.complete) { | ||
| if (mentionsHardDeny(sql)) blocked = true | ||
| // Escapes decoded too: dynamic SQL may run a literal such as '\x44ROP SCHEMA s'. | ||
| if (mentionsHardDenyAnywhere(sql)) blocked = true | ||
| } else { | ||
| // Read with certainty: the statement words in code (literals, identifiers and comments masked, | ||
| // so DROP/**/SCHEMA reads as DROP SCHEMA) decide too, since T-SQL runs `SELECT 1 DROP DATABASE x` | ||
| // Read with certainty: the statement words in code (literals and comments masked, each quoted | ||
| // identifier a placeholder name, so DROP/**/SCHEMA reads as DROP SCHEMA) decide too, since T-SQL runs `SELECT 1 DROP DATABASE x` | ||
| // as two statements with no ; and a parser may read a literal differently from the engine. | ||
| const masked = maskSql(lexical.tokens) | ||
| if (CODE_HARD_DENY.test(masked)) blocked = true | ||
| // Dynamic SQL (EXEC('...'), EXECUTE IMMEDIATE, PREPARE ... FROM, DO $$...$$) runs a string, so | ||
| // the words in its literals count too. A statement built by concatenation is not seen. | ||
| else if (DYNAMIC_SQL.test(masked) && mentionsHardDeny(sql)) blocked = true | ||
| const names = namesKept(lexical.tokens) | ||
| // Snowflake's ->> chains statements (elsewhere a JSON operator), and Snowflake Scripting's ASYNC (, | ||
| // := ( and DEFAULT ( hold one (elsewhere DEFAULT(col) is a function). | ||
| const chained = | ||
| (/^snowflake$/i.test(dialect ?? "") || !isModeledDialect(dialect)) && | ||
| /(->>|\bASYNC\s*\(|:=\s*\(|\bDEFAULT\s*\()\s*TRUNCATE\b(?!\s*\()/i.test(names) | ||
| if (CODE_HARD_DENY.test(names) || handlerTruncate(names) || chained || (write && WRITE_TRUNCATE.test(names))) | ||
| blocked = true | ||
| } | ||
|
Collaborator
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. MAJOR: dynamic SQL split across literals is no longer hard-blocked. else if (DYNAMIC_SQL.test(masked) && mentionsHardDeny(sql)) blocked = trueThat reads the words of the whole text, so -- sqlserver
EXEC('DROP ' + 'DATABASE victim')
-- bigquery
EXECUTE IMMEDIATE CONCAT('DROP ', 'SCHEMA victim CASCADE')
-- mysql
SET @s = CONCAT('DROP ', 'DATABASE victim'); PREPARE p FROM @s; EXECUTE p
-- postgres: string constants separated by a newline are one string
DO 'BEGIN DROP '
'SCHEMA victim CASCADE; END'Run: through Fix: keep the base check next to the new one, e.g.
Contributor
Author
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Fixed in b89c0b7. |
||
| return { queryType: "write", blocked } | ||
| } | ||
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@@ -217,26 +221,115 @@ function batchedStatement(masked: string, dialect?: string): boolean { | |
| // or clauses (USE, FETCH, OPEN, CLOSE, ENABLE, DISABLE, RENAME, THROW, ADD, MOVE, SEND, RECEIVE, END) | ||
| // count only in their statement forms. | ||
| const BATCH_STATEMENT = new RegExp( | ||
| "\\b(INSERT|UPDATE|DELETE|MERGE|DROP|ALTER|CREATE|TRUNCATE|EXEC|EXECUTE|GRANT|REVOKE|DENY|BACKUP|RESTORE|DBCC|KILL|SHUTDOWN|BULK|WAITFOR|DECLARE|SET|INTO|" + | ||
| "\\bTRUNCATE\\b(?!\\s*\\()|\\b(INSERT|UPDATE|DELETE|MERGE|DROP|ALTER|CREATE|EXEC|EXECUTE|GRANT|REVOKE|DENY|BACKUP|RESTORE|DBCC|KILL|SHUTDOWN|BULK|WAITFOR|DECLARE|SET|INTO|" + | ||
| "OPENROWSET|OPENQUERY|OPENDATASOURCE|OPENXML|CHECKPOINT|RECONFIGURE|RAISERROR|GOTO|BEGIN|COMMIT|ROLLBACK|SAVE|DEALLOCATE|" + | ||
| "READTEXT|UPDATETEXT|WRITETEXT|SETUSER|REVERT|PRINT)\\b" + | ||
| "|\\b(ENABLE|DISABLE)\\s+TRIGGER\\b|\\bRENAME\\s+(OBJECT|DATABASE)\\b|\\bTHROW\\s*($|;|[\\d@])" + | ||
| "|\\b(ENABLE|DISABLE)\\s+TRIGGER\\b|\\bRENAME\\s+(OBJECT|DATABASE)\\b|\\bTHROW\\s+[\\d@]" + | ||
| // USE except OPTION (USE HINT/PLAN) and USE INDEX; FETCH except OFFSET paging (FETCH NEXT 10 ROWS ONLY). | ||
|
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Contributor
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. [🟠 MEDIUM] Potential Regression in The regular expression for This change drops support for matching a bare Please verify if bare
Contributor
Author
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Bare THROW is still classified as a write: 'THROW;' and 'BEGIN CATCH THROW; END CATCH' both return write on tsql at HEAD. The narrower pattern only stops 'throw' used as an identifier from matching. |
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| "|\\bUSE\\b(?!\\s+(HINT|PLAN|INDEX|KEY)\\b)|\\bFETCH\\b(?!\\s+(FIRST|NEXT)\\s+([\\w@().+-]+\\s+)?(PERCENT\\s+)?ROWS?\\b)" + | ||
| "|\\b(OPEN|CLOSE)\\s+(GLOBAL\\s+)?[\\w@#]+\\s*(;|\\b(SELECT|WITH)\\b)|\\bADD\\s+(SENSITIVITY|SIGNATURE|COUNTER)\\b" + | ||
| "|\\bMOVE\\s+CONVERSATION\\b|\\bSEND\\s+ON\\b|\\bRECEIVE\\s+(TOP\\b|\\*|\\w+\\s+FROM\\b)|\\bEND\\s+CONVERSATION\\b", | ||
| "i", | ||
| ) | ||
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| const CODE_HARD_DENY = /\bDROP\s+(DATABASE|SCHEMA)\b|\bTRUNCATE\b(?!\s*\()/i | ||
| /** A literal's text as an engine may run it, one string per reading: numeric escapes (\xHH, \uHHHH, | ||
| * \UHHHHHHHH, octal \ooo, U&'...' \HHHH and \+HHHHHH) decoded, and a single-character escape read as a | ||
| * space when it stands for whitespace (\n \r \t \f, and \v in BigQuery) and as itself otherwise; | ||
| * and SQL Server's reading, where a backslash before a line break joins the two lines. */ | ||
| function escapeReadings(sql: string): string[] { | ||
| const char = (hex: string, base = 16) => String.fromCodePoint(Math.min(parseInt(hex, base), 0x10ffff)) | ||
| let numeric = sql | ||
| if (/U&/i.test(numeric)) numeric = numeric.replace(/\\\+([0-9a-fA-F]{6})|\\([0-9a-fA-F]{4})/g, (_, six, four) => char(six ?? four)) | ||
| const decode = (whitespace: RegExp) => | ||
| numeric.replace( | ||
| /\\(?:x([0-9a-fA-F]{1,2})|u([0-9a-fA-F]{4})|U([0-9a-fA-F]{8})|([0-7]{1,3})|([\s\S]))/g, | ||
| (_, x, u, U, octal, single) => | ||
| single !== undefined ? (whitespace.test(single) ? " " : single) : octal ? char(octal, 8) : char(x ?? u ?? U), | ||
| ) | ||
| return [sql, sql.replace(/\\\r?\n/g, ""), decode(/^[nrtf]$/), decode(/^[nrtfv]$/)] | ||
| } | ||
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| // TRUNCATE as a statement: TRUNCATE TABLE, or TRUNCATE starting a statement or a block (BEGIN [NOT | ||
| // ATOMIC], DO, LOOP, REPEAT, a handler's condition). After THEN or ELSE it must be a name and the end | ||
| // of the statement, since CASE ... THEN truncate ... is a column. In a read, a column or alias named truncate is not. | ||
| const CODE_HARD_DENY = new RegExp( | ||
| "\\bDROP\\s+((EXTERNAL|PLUGGABLE)\\s+)?(DATABASE|SCHEMA|CATALOG|NAMESPACE)\\b|\\bTRUNCATE\\s+TABLE\\b" + | ||
| // DuckDB accepts TRUNCATE after EXPLAIN (options), PREPARE p AS and as a CTE body, WITH x AS | ||
| // [[NOT] MATERIALIZED] (TRUNCATE t) ([^()] keeps the scan linear). | ||
| "|(^|;|\\bPREPARE\\s+\\w+\\s+AS\\b|\\bEXPLAIN\\s*\\([^()]*\\)|\\bAS\\s*((NOT\\s+)?MATERIALIZED\\s*)?\\()\\s*TRUNCATE\\b(?!\\s*\\()" + | ||
| // After a block or handler word (or EXPLAIN ANALYZE), a target must follow: these words are also | ||
| // column names, so `SELECT atomic truncate FROM t` is an alias. | ||
| "|\\b(BEGIN|NOT\\s+ATOMIC|DO|LOOP|REPEAT|SQLEXCEPTION|SQLWARNING|FOUND|ANALYZE|ANALYSE)\\s+TRUNCATE\\s+" + | ||
|
Collaborator
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. MAJOR: TRUNCATE without TABLE is no longer hard-blocked in positions the base blocked. The base matched
The PR says the block "finds TRUNCATE in more positions"; for these forms it finds fewer. The same PR also starts blocking literal routine bodies ( Suggested fix: apply the "a target must follow" rule after any preceding token except
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| "(?!(FROM|AS|WHERE|ORDER|GROUP|HAVING|UNION|LIMIT|WINDOW|INTO|JOIN|ON|AND|OR|END)\\b)[\\w\"`$\\u0080-\\uffff]" + | ||
| // After THEN/ELSE: [IF EXISTS] a (dotted, quoted or IDENTIFIER(...)) name, then the statement's end. | ||
| "|\\b(THEN|ELSE)\\s+TRUNCATE\\s+(IF\\s+EXISTS\\s+)?(?!END\\b)" + | ||
| "(IDENTIFIER\\s*\\([^()]*\\)|[^\\s;,().]+(\\s*\\.{1,2}\\s*[^\\s;,().]+)*)(\\s+(NOWAIT|WAIT\\s+\\d+))?\\s*(;|$)", | ||
| "i", | ||
| ) | ||
|
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Contributor
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. [🟠 MEDIUM] High Complexity and Maintainability Risk The This approach makes them:
Consider breaking these regex patterns down into smaller, well-named, and independently tested segments, or replace some of this logic with structural AST checks where possible. Make sure there is extensive unit testing for the edge cases introduced here.
Contributor
Author
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. The patterns are assembled from commented parts and are covered by the adversarial and read-safety suites. No input that backtracks badly or misclassifies is given, so no change. |
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| // In a write, TRUNCATE is a statement wherever it sits (a routine or task body, ALTER TABLE ... TRUNCATE | ||
| // PARTITION), so any unqualified TRUNCATE not followed by `(` (the function) counts. A column named | ||
| // truncate is exempt only in a read, which holds no statement body. | ||
| const WRITE_TRUNCATE = /\bTRUNCATE\b(?<!\.\s*TRUNCATE)(?!\s*\()/i | ||
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| /** A handler's statement follows its conditions (a code, SQLSTATE '...', a name): a TRUNCATE after | ||
| * HANDLER FOR within the same statement counts. One pass over the statements. */ | ||
| function handlerTruncate(masked: string): boolean { | ||
| return masked.split(";").some((part) => { | ||
| const handler = part.search(/\bHANDLER\s+FOR\b/i) | ||
| return handler >= 0 && /\bTRUNCATE\b(?!\s*\()/i.test(part.slice(handler)) | ||
| }) | ||
| } | ||
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| /** Code with literals and comments masked, and each quoted identifier as a placeholder name, so a | ||
| * statement keeps its target (TRUNCATE `t`) without the identifier's text reading as code. */ | ||
| function namesKept(tokens: ReturnType<typeof tokenizeSql>["tokens"]): string { | ||
| return tokens | ||
| .map(({ kind, text }) => | ||
| kind === "code" ? text : kind === "identifier" ? ` ${"_".repeat(Math.max(text.length - 2, 1))} ` : text.replace(/[^\r\n]/g, " "), | ||
| ) | ||
| .join("") | ||
| } | ||
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| /** Whether a write's quoted text holds a hard-denied statement. A write can run its literals as SQL: | ||
| * dynamic SQL (EXEC('...'), sp_executesql N'...', EXECUTE IMMEDIATE, PREPARE ... FROM, dblink_exec), | ||
| * or a function, procedure or trigger body created and called in the same call. Each literal is read | ||
| * word by word with its escapes decoded, as uncertain SQL is, so nothing inside it (nested quotes, | ||
| * comments) can separate the words. Each literal is read alone here (classifyAndCheck reads dynamic SQL | ||
| * across its literals), and a custom UESCAPE character is not decoded, so it blocks. */ | ||
| function quotedHardDeny(tokens: ReturnType<typeof tokenizeSql>["tokens"], dialect?: string): boolean { | ||
| // UESCAPE counts with a U&'...' literal: U& in code right before a literal token. | ||
| const unicode = tokens.some(({ kind, text }, i) => kind === "code" && /\bU&$/i.test(text) && tokens[i + 1]?.kind === "literal") | ||
| if (unicode && /\bUESCAPE\b/i.test(maskSql(tokens))) return true | ||
| // "..." is a string in Spark, Databricks and Hive, under SQL Server's QUOTED_IDENTIFIER OFF and in | ||
| // MySQL without ANSI_QUOTES; other identifiers never are. | ||
| const quotedStrings = | ||
| /^(sqlserver|tsql|mssql|fabric|mysql|mariadb|spark|databricks|hive)$/i.test(dialect ?? "") || !isModeledDialect(dialect) | ||
| return tokens.some( | ||
| ({ kind, text }) => | ||
| (kind === "literal" || (kind === "identifier" && quotedStrings && text[0] === '"')) && | ||
| ((/\bUESCAPE\b/i.test(text) && /\bU&'/i.test(text)) || mentionsHardDenyAnywhere(text)), | ||
| ) | ||
| } | ||
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| const DYNAMIC_SQL = /\bEXEC(UTE)?\b|(^|;)\s*(PREPARE|DO)\b/i | ||
| // Sequence advances outside PostgreSQL's nextval(): NEXT VALUE FOR s (SQL Server, DB2), s.NEXTVAL | ||
| // (Oracle, Snowflake). | ||
| const SEQUENCE_ADVANCE = /\bNEXT\s+VALUE\s+FOR\b|\.\s*NEXTVAL\b/i | ||
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| /** The word DROP with DATABASE or SCHEMA anywhere after it, or TRUNCATE not directly followed by `(` | ||
| * (the TRUNCATE() function; a comment before the `(` does not count, since where a comment ends is | ||
| * part of what is uncertain). Only words count: quotes and comments are ignored, since how they read | ||
| // Sequence advances outside PostgreSQL's nextval(): NEXT VALUE FOR s (SQL Server, DB2), and in Oracle, | ||
| // Snowflake and MariaDB (Oracle mode) s.NEXTVAL, quoted or not (elsewhere s.nextval is a column). | ||
| function advancesSequence(tokens: ReturnType<typeof tokenizeSql>["tokens"], masked: string, dialect?: string): boolean { | ||
| if (/\bNEXT\s+VALUE\s+FOR\b/i.test(masked)) return true | ||
| if (!/^(oracle|snowflake|mysql|mariadb)$/i.test(dialect ?? "") && isModeledDialect(dialect)) return false | ||
| // Comments masked to spaces, and a quoted name counts only when it is exactly NEXTVAL, so | ||
| // s./* c */"NEXTVAL" reads as s.NEXTVAL while "s.NEXTVAL" and t."NEXTVAL VALUE" are column names. | ||
| const names = tokens.map((token) => | ||
| token.kind === "identifier" && !/^.NEXTVAL.$/i.test(token.text) ? { ...token, text: '"_"' } : token, | ||
| ) | ||
| return /\.\s*NEXTVAL\b/i.test(maskSql(names, true)) | ||
| } | ||
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| /** The word DROP with DATABASE, SCHEMA, CATALOG or NAMESPACE anywhere after it, or TRUNCATE not | ||
| * directly followed by `(` (the TRUNCATE() function; a comment before the `(` does not count, since | ||
| * where a comment ends is part of what is uncertain). Only words count: quotes and comments are ignored, since how they read | ||
| * is what is uncertain, so no comment or quote placement can separate the words. One forward pass. */ | ||
| function mentionsHardDeny(sql: string): boolean { | ||
| let drop = false | ||
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@@ -250,7 +343,7 @@ function mentionsHardDeny(sql: string): boolean { | |
| while (j < sql.length && /\w/.test(sql[j])) j++ | ||
| const word = sql.slice(i, j).toUpperCase() | ||
| if (word === "DROP") drop = true | ||
| else if (drop && (word === "DATABASE" || word === "SCHEMA")) return true | ||
| else if (drop && (word === "DATABASE" || word === "SCHEMA" || word === "CATALOG" || word === "NAMESPACE")) return true | ||
| else if (word === "TRUNCATE" && !/^[ \t\r\n]*\(/.test(sql.slice(j, j + 64))) return true | ||
| i = j | ||
| } | ||
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@@ -349,7 +442,25 @@ export function classifyAndCheck(sql: string, dialect?: string): { | |
| blocked: boolean | ||
| parseError?: string | ||
| } { | ||
| return classifySql(sql, dialect, 0) | ||
| const result = classifySql(sql, dialect, 0) | ||
| if (result.queryType === "write" && !result.blocked) { | ||
| // SQL read with certainty: a write may still run the SQL in its literals. Otherwise the word scan | ||
| // of the whole text already covered them. | ||
| const lexical = tokenizeSql(sql, dialect) | ||
| if (lexical.complete && quotedHardDeny(lexical.tokens, dialect)) return { ...result, blocked: true } | ||
|
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Contributor
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. [🟠 MEDIUM] Redundant Tokenization The Consider modifying
Contributor
Author
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Correct, a second tokenize runs, but only for non-blocked write queries and it is linear in the SQL length. Returning the lexical result from classifySql is possible but changes its signature; leaving as is unless it shows up in profiling.
Collaborator
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. MAJOR: an existing test now fails. This new literal check blocks Fix: change the expectation to
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| // Dynamic SQL can join literals into one statement ('DROP ' + 'DATABASE x', or PostgreSQL's | ||
| // adjacent constants), so its words count across literals too. | ||
| if (lexical.complete && DYNAMIC_SQL.test(maskSql(lexical.tokens)) && mentionsHardDenyAnywhere(sql)) | ||
| return { ...result, blocked: true } | ||
| } | ||
| return result | ||
| } | ||
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| /** Whether DROP DATABASE/SCHEMA/CATALOG/NAMESPACE or TRUNCATE appears anywhere in the text, read word by word | ||
| * with quotes and comments ignored and escapes decoded (for text another layer renders, such as dbt's | ||
| * Jinja). */ | ||
| export function mentionsHardDenyAnywhere(sql: string): boolean { | ||
| return escapeReadings(sql).some(mentionsHardDeny) | ||
| } | ||
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| function classifySql(sql: string, dialect: string | undefined, depth: number): { | ||
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@@ -375,22 +486,27 @@ function classifySql(sql: string, dialect: string | undefined, depth: number): { | |
| const masked = maskSql(lexical.tokens) | ||
| const blocked = | ||
| functions.blocked || | ||
| classifyFallback(sql, dialect).blocked || | ||
| classifyFallback(sql, dialect, false).blocked || | ||
| result.statements.some( | ||
| (s: { statement_type: string }) => s.statement_type && HARD_DENY_TYPES.has(s.statement_type.toUpperCase()), | ||
| ) | ||
|
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| return { | ||
| queryType: | ||
| !functions.write && | ||
| !blocked && | ||
| !batchedStatement(masked, dialect) && | ||
| !SEQUENCE_ADVANCE.test(masked) && | ||
| otherIsReadOnly(sql, result.statements, dialect) | ||
| ? "read" | ||
| : "write", | ||
| blocked, | ||
| } | ||
| const queryType = | ||
| !functions.write && | ||
| !blocked && | ||
| !batchedStatement(masked, dialect) && | ||
| // Snowflake's ->> runs the statements it chains, DML included. | ||
| !(/^snowflake$/i.test(dialect ?? "") && masked.includes("->>")) && | ||
| // Spark/Hive SELECT TRANSFORM(...) USING 'cmd' runs a command on the cluster; any USING not | ||
| // followed by "(" counts (comments and the script masked), while JOIN ... USING (col) is a join. | ||
| !((/^(spark|databricks|hive)$/i.test(dialect ?? "") || !isModeledDialect(dialect)) && | ||
| /\bTRANSFORM\s*\(/i.test(masked) && | ||
| /\bUSING\b(?!\s*\()/i.test(masked)) && | ||
| !advancesSequence(lexical.tokens, masked, dialect) && | ||
| otherIsReadOnly(sql, result.statements, dialect) | ||
| ? "read" | ||
| : "write" | ||
| return { queryType, blocked: blocked || (queryType === "write" && WRITE_TRUNCATE.test(namesKept(lexical.tokens))) } | ||
| } catch (error) { | ||
| return { ...classifyFallback(sql, dialect), parseError: error instanceof Error ? error.message : String(error) } | ||
| } | ||
|
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MINOR (test gap): no test covers
target_warehouse: "". The change is correct: the native layer usestarget_warehouse ?? source_warehouse, so""used to reach the handler as a warehouse name rather than meaning the source. A test that passestarget_warehouse: ""and checks the dispatched params (and that the ask names the source warehouse) would lock this in.Blocker: no, test-only.
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Added in 6b5b356: a runner test passes
target_warehouse: ""and checks that the dispatcheddata.diffparams carry the source warehouse and notarget_warehouse. The ask resolvestarget_warehouse || source_warehouse. No test checks the ask with""yet, so the test is named for what it does check: the dispatch.