ROLLOUT 4 · reata/sqllineage
reata__sqllineage-224
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465 stotal time
14tool calls
14model calls
5,833tokens generated
131,131prompt tokens read
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System instructions 4,822 characters
You are a principal Python software engineer resolving a repository issue in `/workspace`. Your sole objective is to produce a minimal, root-cause source patch that passes every hidden fail-to-pass and pass-to-pass regression test on the first grading run. ## Critical Environment & Grader Rules 1. **Air-Gapped Sandbox & Available CLI Tools**: No network access. Never run `pip`, `uv`, `conda`, or `git fetch`. Note: `rg` (`ripgrep`) is NOT installed in the container — always use `grep -rn --include="*.py"` for fast exact searches so you never waste a tool call on `command not found`. 2. **Protected Grading Paths**: Before running official verification, the grading harness **strips and reverts all changes** to `tests/`, `test/`, `testing/`, `test_*.py`, `*_test.py`, `conftest.py`, `pyproject.toml`, `setup.cfg`, `pytest.ini`, and `tox.ini`. Every part of your fix MUST reside in non-test production source files. 3. **Untracked File Trap (`git add -N .`)**: `submit_patch` stages ALL untracked files inside `/workspace`! Never leave reproduction or scratch files inside `/workspace` — run reproductions inline via `python3 - <<'PY'` or inside `/tmp/repro.py` in a single `run_command`. 4. **Stdout Truncation Rule**: `run_command` truncates stdout after the first 5,000 characters from the TOP. Always run pytest quietly with short tracebacks: `pytest path/to/test_file.py -k pattern -q --tb=short --no-header` If a test file is large, redirect output to `/tmp/pytest.log` and inspect `tail -n 80 /tmp/pytest.log` so failure tracebacks at the bottom are never cut off. 5. **Strict Pacing Discipline**: `get_status` and `submit_patch` are free and do NOT count toward `max_tool_calls`. Target **16-22 counted tool calls total**, and **begin your first `edit_file` change no later than tool call 15**. Reserve at least 4 calls for verification, `git status --short && git diff`, and submission. ## Execution Protocol ### Phase 1 — Pinpoint Code & Tests Immediately (1-2 tool calls) - The user message already contains `Workspace Layout` — do NOT waste a turn running `ls` on top-level directories. - Run a single compound `run_command` with `grep -rn --include="*.py"` to locate: (a) the exact symbols, error strings, or functions from the problem description, (b) **all parallel or sibling implementations** (for example sync + async variants, `Client` + `AsyncClient`, serializer + deserializer, multiple backends/dialects, base + subclass methods, `__init__.py` / `__all__` exports), and (c) the closest existing unit test files under `tests/`. ### Phase 2 — Deep Read & Spec Anchor (2-5 tool calls) - Use `read_file` with generous `start_line` and `end_line` windows (180-300 lines per call so you read whole modules in fewer calls) on the target function/class, callers, type annotations, and neighboring tests. - Before editing, verify every explicit and implicit requirement from the issue: exact parameter names, defaults, boundary/domain edge cases, exception types/messages, `None` vs empty collection vs falsy (`0`, `False`, `""`) semantics, mutability/copying, and return types. ### Phase 3 — Reproduce Bug in One Call (1 tool call) - Run ONE concise command (`python3 - <<'PY' ... PY` or targeted `pytest ... -q --tb=short --no-header`) via `run_command` to observe the exact pre-fix failure. Do NOT spend multiple tool calls writing separate reproduction scripts. ### Phase 4 — Surgical Implementation Across All Parallel Paths (1-4 tool calls) - Begin editing by tool call 15! Use `edit_file` with 4-6 lines of exact surrounding context copied from `read_file`. - Update ALL parallel codepaths (sync/async, multiple classes/dialects, type hints) consistently so partial fixes do not fail sibling tests. - **2-Strike Edit Rule**: If `edit_file` fails twice on the same block due to whitespace or escaping, do not retry `edit_file` a third time — apply an atomic Python transformation via `run_command` and immediately verify `python3 -m py_compile path/to/file.py`. ### Phase 5 — Edge-Case Verification, Diff Hygiene & Clean Exit (2-4 tool calls) - Run a single compound `run_command` testing both your reproduction + boundary edge cases (`None`, empty input, leading/trailing delimiters, subdomain/prefix boundaries, subclass/async parity) AND the relevant existing `pytest` module(s) with `-q --tb=short --no-header`. - Run `git status --short && git diff` via `run_command`. Confirm: - ZERO untracked (`??`) files in `/workspace` (`rm -f` any untracked workspace files immediately), - ZERO modifications to `tests/` or protected config files (`git checkout -- tests/` if touched), - Minimal, clean diff with valid imports and indentation. - Call `submit_patch` once verification passes, then respond with a brief 2-sentence plain-text summary and make NO further tool calls.
Task prompt 3,058 characters
You are evaluating a software engineering task for repository reata/sqllineage.
Problem Statement:
Table/Column Lineage Mixed up For Self Dependent SQL
```sql
INSERT OVERWRITE TABLE foo
SELECT col FROM foo
WHERE flag IS NOT NULL
```
```
Statements(#): 1
Source Tables:
<default>.foo
<default>.foo.col
Target Tables:
<default>.foo
<default>.foo.col
```
Column lineage is displayed by mistake here.
## Task Budget (Session terminates when any budget is exhausted)
- Time allowance: 7.5 minutes
- Tool calls allowance: 30 calls
- Max loop iterations: 40 turns
## Execution Environment Rules
- Single command timeout: 90 seconds (commands exceeding this fail without ending the session)
- Command output limit: 5000 characters
- File view limit: 150 lines per read_file call
- File character limit: 10000 characters per read_file call
- Environment is offline (no network/PyPI access). All repository and test dependencies are ALREADY pre-installed. Do NOT attempt to run pip install or download packages.
## Instructions:
0. All source code is under `/workspace`. Do NOT search outside `/workspace` (e.g. `/usr/`, `/wheels/`, system site-packages). If imports fail, the issue is in the source code under `/workspace`, not in missing system packages.
1. Analyze the problem statement and any provided hints carefully to identify all requested script paths, CLI subcommands, or Python modules.
2. Inspect existing codebase conventions and test files before making edits.
3. Verify your implementation using targeted tests or inline assertions before submitting.
4. Call submit_patch only after your implementation is complete and verified.
5. As your final action, you must return a text-only response reporting your completion to terminate the session.
## Workspace Layout
The repository is located at `/workspace`. Here is the directory tree (up to 3 levels):
```
./CONTRIBUTING.md
./Dockerfile
./LICENSE
./MANIFEST.in
./README.md
./docs
./mypy.ini
./setup.py
./sqllineage
./sqllineage/__init__.py
./sqllineage/cli.py
./sqllineage/core
./sqllineage/core/__init__.py
./sqllineage/core/analyzer.py
./sqllineage/core/handlers
./sqllineage/core/holders.py
./sqllineage/core/models.py
./sqllineage/data
./sqllineage/data/tpcds
./sqllineage/drawing.py
./sqllineage/exceptions.py
./sqllineage/io.py
./sqllineage/runner.py
./sqllineage/utils
./sqllineage/utils/__init__.py
./sqllineage/utils/constant.py
./sqllineage/utils/entities.py
./sqllineage/utils/helpers.py
./sqllineage/utils/sqlparse.py
./sqllineagejs
./sqllineagejs/config-overrides.js
./sqllineagejs/package-lock.json
./sqllineagejs/package.json
./sqllineagejs/public
./sqllineagejs/public/favicon.ico
./sqllineagejs/public/index.html
./sqllineagejs/public/logo192.png
./sqllineagejs/public/logo512.png
./sqllineagejs/public/manifest.json
./sqllineagejs/public/robots.txt
./sqllineagejs/src
./sqllineagejs/src/App.js
./sqllineagejs/src/api
./sqllineagejs/src/app
./sqllineagejs/src/features
./sqllineagejs/src/index.css
./sqllineagejs/src/index.js
./tests
./tox.ini
```
Turn 1at 31 s291 tokens out2,981 prompt tokens
The user is reporting an issue where table and column lineage are mixed up for self-dependent SQL.
Example SQL:
```sql
INSERT OVERWRITE TABLE foo
SELECT col FROM foo
WHERE flag IS NOT NULL
```
Expected behavior:
Source Table: `foo`
Target Table: `foo`
Actual behavior (according to the user):
Source Tables:
`<default>.foo`
`<default>.foo.col`
Target Tables:
`<default>.foo`
`<default>.foo.col`
It seems `foo.col` is being listed as a table.
I need to investigate how `sqllineage` parses these statements and why it's adding the column to the table list.
First, I'll explore the code to find where the lineage is computed. `sqllineage/core/analyzer.py` seems like a good place to start.
TOOL CALL · run_command
{
"command": "python3 - <<'PY'\nfrom sqllineage.runner import LineageRunner\n\nsql = \"INSERT OVERWRITE TABLE foo SELECT col FROM foo WHERE flag IS NOT NULL\"\nrunner = LineageRunner(sql)\nprint(f\"Source tables: {runner.source_tables}\")\nprint(f\"Target tables: {runner.target_tables}\")\nPY\n"
}Result of run_command 192 characters
{
"status": "ok",
"stdout": "Source tables: [Table: <default>.foo, Column: <default>.foo.col]\nTarget tables: [Table: <default>.foo, Column: <default>.foo.col]\n",
"stderr": "",
"exit_code": 0
}Generated tokens 291 tokens · stopped: STOP
<|channel>thought
The user is reporting an issue where table and column lineage are mixed up for self-dependent SQL.
Example SQL:
```sql
INSERT OVERWRITE TABLE foo
SELECT col FROM foo
WHERE flag IS NOT NULL
```
Expected behavior:
Source Table: `foo`
Target Table: `foo`
Actual behavior (according to the user):
Source Tables:
`<default>.foo`
`<default>.foo.col`
Target Tables:
`<default>.foo`
`<default>.foo.col`
It seems `foo.col` is being listed as a table.
I need to investigate how `sqllineage` parses these statements and why it's adding the column to the table list.
First, I'll explore the code to find where the lineage is computed. `sqllineage/core/analyzer.py` seems like a good place to start.<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY'
from sqllineage.runner import LineageRunner
sql = "INSERT OVERWRITE TABLE foo SELECT col FROM foo WHERE flag IS NOT NULL"
runner = LineageRunner(sql)
print(f"Source tables: {runner.source_tables}")
print(f"Target tables: {runner.target_tables}")
PY
<|"|>}<tool_call|><|tool_response>
Turn 2at 40 s107 tokens out3,353 prompt tokens
The reproduction confirms the bug. `Column: <default>.foo.col` is present in both `source_tables` and `target_tables`. The `LineageRunner` uses `Analyzer` internally. I should check `sqllineage/core/analyzer.py` and `sqllineage/core/models.py` to see how tables and columns are handled.
TOOL CALL · read_file
{
"filepath": "sqllineage/core/analyzer.py"
}Result of read_file 6,218 characters
{
"status": "ok",
"filepath": "sqllineage/core/analyzer.py",
"content": "from functools import reduce\nfrom operator import add\nfrom typing import List, NamedTuple, Optional, Set, Union\n\nfrom sqlparse.sql import (\n Comment,\n Function,\n Identifier,\n IdentifierList,\n Statement,\n TokenList,\n Where,\n)\n\nfrom sqllineage.core.handlers.base import (\n CurrentTokenBaseHandler,\n NextTokenBaseHandler,\n)\nfrom sqllineage.core.holders import StatementLineageHolder, SubQueryLineageHolder\nfrom sqllineage.core.models import SubQuery, Table\nfrom sqllineage.utils.sqlparse import get_subquery_parentheses, is_subquery\n\n\nclass AnalyzerContext(NamedTuple):\n subquery: Optional[SubQuery] = None\n prev_cte: Optional[Set[SubQuery]] = None\n\n\nclass LineageAnalyzer:\n \"\"\"SQL Statement Level Lineage Analyzer.\"\"\"\n\n def analyze(self, stmt: Statement) -> StatementLineageHolder:\n \"\"\"\n to analyze the Statement and store the result into :class:`sqllineage.holders.StatementLineageHolder`.\n\n :param stmt: a SQL statement parsed by `sqlparse`\n \"\"\"\n if (\n stmt.get_type() == \"DELETE\"\n or stmt.token_first(skip_cm=True).normalized == \"TRUNCATE\"\n or stmt.token_first(skip_cm=True).normalized.upper() == \"REFRESH\"\n or stmt.token_first(skip_cm=True).normalized == \"CACHE\"\n or stmt.token_first(skip_cm=True).normalized.upper() == \"UNCACHE\"\n or stmt.token_first(skip_cm=True).normalized == \"SHOW\"\n ):\n holder = StatementLineageHolder()\n elif stmt.get_type() == \"DROP\":\n holder = self._extract_from_ddl_drop(stmt)\n elif stmt.get_type() == \"ALTER\":\n holder = self._extract_from_ddl_alter(stmt)\n else:\n # DML parsing logic also applies to CREATE DDL\n holder = StatementLineageHolder.of(\n self._extract_from_dml(stmt, AnalyzerContext())\n )\n return holder\n\n @classmethod\n def _extract_from_ddl_drop(cls, stmt: Statement) -> StatementLineageHolder:\n holder = StatementLineageHolder()\n for table in {Table.of(t) for t in stmt.tokens if isinstance(t, Identifier)}:\n holder.add_drop(table)\n return holder\n\n @classmethod\n def _extract_from_ddl_alter(cls, stmt: Statement) -> StatementLineageHolder:\n holder = StatementLineageHolder()\n tables = [Table.of(t) for t in stmt.tokens if isinstance(t, Identifier)]\n keywords = [t for t in stmt.tokens if t.is_keyword]\n if any(k.normalized == \"RENAME\" for k in keywords) and len(tables) == 2:\n holder.add_rename(tables[0], tables[1])\n if any(k.normalized == \"EXCHANGE\" for k in keywords) and len(tables) == 2:\n holder.add_write(tables[0])\n holder.add_read(tables[1])\n return holder\n\n @classmethod\n def _extract_from_dml(\n cls, token: TokenList, context: AnalyzerContext\n ) -> SubQueryLineageHolder:\n holder = SubQueryLineageHolder()\n if context.prev_cte is not None:\n # CTE can be referenced by subsequent CTEs\n for cte in context.prev_cte:\n holder.add_cte(cte)\n if context.subquery is not None:\n # If within subquery, then manually add subquery as target table\n holder.add_write(context.subquery)\n current_handlers = [\n handler_cls() for handler_cls in CurrentTokenBaseHandler.__subclasses__()\n ]\n next_handlers = [\n handler_cls() for handler_cls in NextTokenBaseHandler.__subclasses__()\n ]\n\n subqueries = []\n for sub_token in token.tokens:\n if cls.__token_negligible_before_tablename(sub_token):\n continue\n\n for sq in cls.parse_subquery(sub_token):\n # Collecting subquery on the way, hold on parsing until last\n # so that each handler don't have to worry about what's inside subquery\n subqueries.append(sq)\n\n for current_handler in current_handlers:\n current_handler.handle(sub_token, holder)\n\n if sub_token.is_keyword:\n for next_handler in next_handlers:\n next_handler.indicate(sub_token)\n continue\n\n for next_handler in next_handlers:\n if next_handler.indicator:\n next_handler.handle(sub_token, holder)\n else:\n # call end of query hook here as loop is over\n for next_handler in next_handlers:\n next_handler.end_of_query_cleanup(holder)\n # By recursively extracting each subquery of the parent and merge, we're doing Depth-first search\n for sq in subqueries:\n holder |= cls._extract_from_dml(sq.token, AnalyzerContext(sq, holder.cte))\n return holder\n\n @classmethod\n def __token_negligible_before_tablename(cls, token: TokenList) -> bool:\n return token.is_whitespace or isinstance(token, Comment)\n\n @classmethod\n def parse_subquery(cls, token: TokenList) -> List[SubQuery]:\n result = []\n if isinstance(token, (Identifier, Function, Where)):\n # usually SubQuery is an Identifier, but not all Identifiers are SubQuery\n # Function for CTE without AS keyword\n result = cls._parse_subquery(token)\n elif isinstance(token, IdentifierList):\n # IdentifierList for SQL89 style of JOIN or multiple CTEs, this is actually SubQueries\n result = reduce(\n add,\n [\n cls._parse_subquery(identifier)\n for identifier in token.get_sublists()\n ],\n [],\n )\n elif is_subquery(token):\n # Parenthesis for SubQuery without alias, this is valid syntax for certain SQL dialect\n result = [SubQuery.of(token, None)]\n return result",
"start_line": 1,
"end_line": 150,
"total_lines": 162,
"is_truncated": true
}Generated tokens 107 tokens · stopped: STOP
The reproduction confirms the bug. `Column: <default>.foo.col` is present in both `source_tables` and `target_tables`.
The `LineageRunner` uses `Analyzer` internally. I should check `sqllineage/core/analyzer.py` and `sqllineage/core/models.py` to see how tables and columns are handled.
<channel|><|tool_call>call:read_file{filepath:<|"|>sqllineage/core/analyzer.py<|"|>}<tool_call|><|tool_response>
Turn 3at 47 s94 tokens out5,141 prompt tokens
`LineageAnalyzer._extract_from_dml` uses `CurrentTokenBaseHandler` and `NextTokenBaseHandler` subclasses. I need to see these handlers. They are likely in `sqllineage/core/handlers/`. Let's list the files in `sqllineage/core/handlers/`.
TOOL CALL · run_command
{
"command": "ls sqllineage/core/handlers/"
}Result of run_command 131 characters
{
"status": "ok",
"stdout": "__init__.py\nbase.py\ncte.py\nsource.py\nswap_partition.py\ntarget.py\n",
"stderr": "",
"exit_code": 0
}Generated tokens 94 tokens · stopped: STOP
`LineageAnalyzer._extract_from_dml` uses `CurrentTokenBaseHandler` and `NextTokenBaseHandler` subclasses. I need to see these handlers. They are likely in `sqllineage/core/handlers/`.
Let's list the files in `sqllineage/core/handlers/`.
<channel|><|tool_call>call:run_command{command:<|"|>ls sqllineage/core/handlers/<|"|>}<tool_call|><|tool_response>
Turn 4at 62 s189 tokens out5,305 prompt tokens
Looking at the problem, it's about `INSERT OVERWRITE TABLE foo SELECT col FROM foo`. This involves both a target table (`foo`) and a source table (`foo`). I suspect the logic for identifying target tables (in `target.py`) or source tables (in `source.py`) is incorrectly handling the case where the same table is both source and target, or it's misidentifying columns as tables. Wait, if it's `INSERT OVERWRITE TABLE foo SELECT col FROM foo`, the `INSERT` part should specify the target, and the `SELECT` part should specify the source. Let's examine `sqllineage/core/handlers/target.py` and `sqllineage/core/handlers/source.py`.
TOOL CALL · read_file
{
"filepath": "sqllineage/core/handlers/target.py"
}Result of read_file 2,739 characters
{
"status": "ok",
"filepath": "sqllineage/core/handlers/target.py",
"content": "from sqlparse.sql import Comparison, Function, Identifier, Token\nfrom sqlparse.tokens import Literal, Number\n\nfrom sqllineage.core.handlers.base import NextTokenBaseHandler\nfrom sqllineage.core.holders import SubQueryLineageHolder\nfrom sqllineage.core.models import Path, Table\nfrom sqllineage.exceptions import SQLLineageException\n\n\nclass TargetHandler(NextTokenBaseHandler):\n \"\"\"Target Table Handler.\"\"\"\n\n TARGET_TABLE_TOKENS = (\"INTO\", \"OVERWRITE\", \"TABLE\", \"VIEW\", \"UPDATE\", \"COPY\")\n\n def _indicate(self, token: Token) -> bool:\n return token.normalized in self.TARGET_TABLE_TOKENS\n\n def _handle(self, token: Token, holder: SubQueryLineageHolder) -> None:\n if isinstance(token, Function):\n # insert into tab (col1, col2) values (val1, val2); Here tab (col1, col2) will be parsed as Function\n # referring https://github.com/andialbrecht/sqlparse/issues/483 for further information\n if not isinstance(token.token_first(skip_cm=True), Identifier):\n raise SQLLineageException(\n \"An Identifier is expected, got %s[value: %s] instead.\"\n % (type(token).__name__, token)\n )\n holder.add_write(Table.of(token.token_first(skip_cm=True)))\n elif isinstance(token, Comparison):\n # create table tab1 like tab2, tab1 like tab2 will be parsed as Comparison\n # referring https://github.com/andialbrecht/sqlparse/issues/543 for further information\n if not (\n isinstance(token.left, Identifier)\n and isinstance(token.right, Identifier)\n ):\n raise SQLLineageException(\n \"An Identifier is expected, got %s[value: %s] instead.\"\n % (type(token).__name__, token)\n )\n holder.add_write(Table.of(token.left))\n holder.add_read(Table.of(token.right))\n elif token.ttype == Literal.String.Single:\n holder.add_write(Path(token.value))\n else:\n if not isinstance(token, Identifier):\n raise SQLLineageException(\n \"An Identifier is expected, got %s[value: %s] instead.\"\n % (type(token).__name__, token)\n )\n if token.token_first(skip_cm=True).ttype is Number.Integer:\n # Special Handling for Spark Bucket Table DDL\n pass\n else:\n holder.add_write(Table.of(token))",
"start_line": 1,
"end_line": 53,
"total_lines": 53,
"is_truncated": false
}Generated tokens 189 tokens · stopped: STOP
Looking at the problem, it's about `INSERT OVERWRITE TABLE foo SELECT col FROM foo`. This involves both a target table (`foo`) and a source table (`foo`).
I suspect the logic for identifying target tables (in `target.py`) or source tables (in `source.py`) is incorrectly handling the case where the same table is both source and target, or it's misidentifying columns as tables.
Wait, if it's `INSERT OVERWRITE TABLE foo SELECT col FROM foo`, the `INSERT` part should specify the target, and the `SELECT` part should specify the source.
Let's examine `sqllineage/core/handlers/target.py` and `sqllineage/core/handlers/source.py`.
<channel|><|tool_call>call:read_file{filepath:<|"|>sqllineage/core/handlers/target.py<|"|>}<tool_call|><|tool_response>
Turn 5at 66 s43 tokens out6,242 prompt tokens
And `sqllineage/core/handlers/source.py`:
TOOL CALL · read_file
{
"filepath": "sqllineage/core/handlers/source.py"
}Result of read_file 6,461 characters
{
"status": "ok",
"filepath": "sqllineage/core/handlers/source.py",
"content": "import re\nfrom typing import Dict, List, Union\n\nfrom sqlparse.sql import (\n Case,\n Function,\n Identifier,\n IdentifierList,\n Operation,\n Parenthesis,\n Token,\n)\nfrom sqlparse.tokens import Literal, Wildcard\n\nfrom sqllineage.core.handlers.base import NextTokenBaseHandler\nfrom sqllineage.core.holders import SubQueryLineageHolder\nfrom sqllineage.core.models import Column, Path, SubQuery, Table\nfrom sqllineage.exceptions import SQLLineageException\nfrom sqllineage.utils.constant import EdgeType\nfrom sqllineage.utils.sqlparse import get_subquery_parentheses\n\n\nclass SourceHandler(NextTokenBaseHandler):\n \"\"\"Source Table & Column Handler.\"\"\"\n\n SOURCE_TABLE_TOKENS = (\n r\"FROM\",\n # inspired by https://github.com/andialbrecht/sqlparse/blob/master/sqlparse/keywords.py\n r\"((LEFT\\s+|RIGHT\\s+|FULL\\s+)?(INNER\\s+|OUTER\\s+|STRAIGHT\\s+)?|(CROSS\\s+|NATURAL\\s+)?)?JOIN\",\n )\n\n def __init__(self):\n self.column_flag = False\n self.columns = []\n self.tables = []\n self.union_barriers = []\n super().__init__()\n\n def _indicate(self, token: Token) -> bool:\n if token.normalized in (\"UNION\", \"UNION ALL\"):\n self.union_barriers.append((len(self.columns), len(self.tables)))\n\n if any(re.match(regex, token.normalized) for regex in self.SOURCE_TABLE_TOKENS):\n self.column_flag = False\n return True\n elif bool(token.normalized == \"SELECT\"):\n self.column_flag = True\n return True\n else:\n return False\n\n def _handle(self, token: Token, holder: SubQueryLineageHolder) -> None:\n if self.column_flag:\n self._handle_column(token)\n else:\n self._handle_table(token, holder)\n\n def _handle_table(self, token: Token, holder: SubQueryLineageHolder) -> None:\n if isinstance(token, Identifier):\n self.tables.append(self._get_dataset_from_identifier(token, holder))\n elif isinstance(token, IdentifierList):\n # This is to support join in ANSI-89 syntax\n for identifier in token.get_sublists():\n self.tables.append(\n self._get_dataset_from_identifier(identifier, holder)\n )\n elif isinstance(token, Parenthesis):\n # SELECT col1 FROM (SELECT col2 FROM tab1), the subquery will be parsed as Parenthesis\n # This syntax without alias for subquery is invalid in MySQL, while valid for SparkSQL\n self.tables.append(SubQuery.of(token, None))\n elif token.ttype == Literal.String.Single:\n self.tables.append(Path(token.value))\n else:\n raise SQLLineageException(\n \"An Identifier is expected, got %s[value: %s] instead.\"\n % (type(token).__name__, token)\n )\n\n def _handle_column(self, token: Token) -> None:\n column_token_types = (Identifier, Function, Operation, Case)\n if isinstance(token, column_token_types) or token.ttype is Wildcard:\n column_tokens = [token]\n elif isinstance(token, IdentifierList):\n column_tokens = [\n sub_token\n for sub_token in token.tokens\n if isinstance(sub_token, column_token_types)\n ]\n else:\n # SELECT constant value will end up here\n column_tokens = []\n for token in column_tokens:\n self.columns.append(Column.of(token))\n\n def end_of_query_cleanup(self, holder: SubQueryLineageHolder) -> None:\n for i, tbl in enumerate(self.tables):\n holder.add_read(tbl)\n self.union_barriers.append((len(self.columns), len(self.tables)))\n for i, (col_barrier, tbl_barrier) in enumerate(self.union_barriers):\n prev_col_barrier, prev_tbl_barrier = (\n (0, 0) if i == 0 else self.union_barriers[i - 1]\n )\n col_grp = self.columns[prev_col_barrier:col_barrier]\n tbl_grp = self.tables[prev_tbl_barrier:tbl_barrier]\n tgt_tbl = None\n if holder.write:\n if len(holder.write) > 1:\n raise SQLLineageException\n tgt_tbl = list(holder.write)[0]\n if tgt_tbl:\n for tgt_col in col_grp:\n tgt_col.parent = tgt_tbl\n for src_col in tgt_col.to_source_columns(\n self._get_alias_mapping_from_table_group(tbl_grp, holder)\n ):\n holder.add_column_lineage(src_col, tgt_col)\n\n @classmethod\n def _get_dataset_from_identifier(\n cls, identifier: Identifier, holder: SubQueryLineageHolder\n ) -> Union[Path, Table, SubQuery]:\n path_match = re.match(r\"(parquet|csv|json)\\.`(.*)`\", identifier.value)\n if path_match is not None:\n return Path(path_match.groups()[1])\n else:\n read: Union[Table, SubQuery, None] = None\n subqueries = get_subquery_parentheses(identifier)\n if len(subqueries) > 0:\n # SELECT col1 FROM (SELECT col2 FROM tab1) dt, the subquery will be parsed as Identifier\n # referring https://github.com/andialbrecht/sqlparse/issues/218 for further information\n parenthesis, alias = subqueries[0]\n read = SubQuery.of(parenthesis, alias)\n else:\n cte_dict = {s.alias: s for s in holder.cte}\n if \".\" not in identifier.value:\n cte = cte_dict.get(identifier.get_real_name())\n if cte is not None:\n # could reference CTE with or without alias\n read = SubQuery.of(\n cte.token,\n identifier.get_alias() or identifier.get_real_name(),\n )\n if read is None:\n read = Table.of(identifier)\n return read\n\n @classmethod\n def _get_alias_mapping_from_table_group(\n cls,\n table_group: List[Union[Path, Table, SubQuery]],",
"start_line": 1,
"end_line": 150,
"total_lines": 169,
"is_truncated": true
}Generated tokens 43 tokens · stopped: STOP
And `sqllineage/core/handlers/source.py`:
<channel|><|tool_call>call:read_file{filepath:<|"|>sqllineage/core/handlers/source.py<|"|>}<tool_call|><|tool_response>
Turn 6at 83 s403 tokens out8,074 prompt tokens
Let's look at `end_of_query_cleanup` in `SourceHandler`.
```python
def end_of_query_cleanup(self, holder: SubQueryLineageHolder) -> None:\n for i, tbl in enumerate(self.tables):\n holder.add_read(tbl)\n self.union_barriers.append((len(self.columns), len(self.tables)))\n for i, (col_barrier, tbl_barrier) in enumerate(self.union_barriers):\n prev_col_barrier, prev_tbl_barrier = (\n (0, 0) if i == 0 else self.union_barriers[i - 1]\n )\n col_grp = self.columns[prev_col_barrier:col_barrier]\n tbl_grp = self.tables[prev_tbl_barrier:tbl_barrier]\n tgt_tbl = None\n if holder.write:\n if len(holder.write) > 1:\n raise SQLLineageException\n tgt_tbl = list(holder.write)[0]\n if tgt_tbl:\n for tgt_col in col_grp:\n tgt_col.parent = tgt_tbl\n for src_col in tgt_col.to_source_columns(\n self._get_alias_mapping_from_table_group(tbl_grp, holder)\n ):\n holder.add_column_lineage(src_col, tgt_col)\n```
And let's see `sqllineage/core/holders.py` to see how `add_column_lineage` is implemented.
TOOL CALL · read_file
{
"filepath": "sqllineage/core/holders.py"
}Result of read_file 5,712 characters
{
"status": "ok",
"filepath": "sqllineage/core/holders.py",
"content": "import itertools\nfrom typing import Set, Tuple, Union\n\nimport networkx as nx\nfrom networkx import DiGraph\n\nfrom sqllineage.core.models import Column, Path, SubQuery, Table\nfrom sqllineage.utils.constant import EdgeType, NodeTag\n\nDATASET_CLASSES = (Path, Table)\n\n\nclass ColumnLineageMixin:\n def get_column_lineage(self, exclude_subquery=True) -> Set[Tuple[Column, ...]]:\n self.graph: DiGraph # For mypy attribute checking\n # filter all the column node in the graph\n column_nodes = [n for n in self.graph.nodes if isinstance(n, Column)]\n column_graph = self.graph.subgraph(column_nodes)\n source_columns = {column for column, deg in column_graph.in_degree if deg == 0}\n # if a column lineage path ends at SubQuery, then it should be pruned\n target_columns = {\n node\n for node, deg in column_graph.out_degree\n if isinstance(node, Column) and deg == 0\n }\n if exclude_subquery:\n target_columns = {\n node for node in target_columns if isinstance(node.parent, Table)\n }\n columns = set()\n for (source, target) in itertools.product(source_columns, target_columns):\n simple_paths = list(nx.all_simple_paths(self.graph, source, target))\n if len(simple_paths) == 1:\n columns.add(tuple(simple_paths[0]))\n # we can ignore when simple path doesn't exist, but could there be more than one simple path?\n return columns\n\n\nclass SubQueryLineageHolder(ColumnLineageMixin):\n \"\"\"\n SubQuery/Query Level Lineage Result.\n\n SubQueryLineageHolder will hold attributes like read, write, cte\n\n Each of them is a Set[:class:`sqllineage.models.Table`].\n\n This is the most atomic representation of lineage result.\n \"\"\"\n\n def __init__(self) -> None:\n self.graph = nx.DiGraph()\n\n def __or__(self, other):\n self.graph = nx.compose(self.graph, other.graph)\n return self\n\n def _property_getter(self, prop) -> Set[Union[SubQuery, Table]]:\n return {t for t, attr in self.graph.nodes(data=True) if attr.get(prop) is True}\n\n def _property_setter(self, value, prop) -> None:\n self.graph.add_node(value, **{prop: True})\n\n @property\n def read(self) -> Set[Union[SubQuery, Table]]:\n return self._property_getter(NodeTag.READ)\n\n def add_read(self, value) -> None:\n self._property_setter(value, NodeTag.READ)\n # the same table can be added (in SQL: joined) multiple times with different alias\n if hasattr(value, \"alias\"):\n self.graph.add_edge(value, value.alias, type=EdgeType.HAS_ALIAS)\n\n @property\n def write(self) -> Set[Union[SubQuery, Table]]:\n return self._property_getter(NodeTag.WRITE)\n\n def add_write(self, value) -> None:\n self._property_setter(value, NodeTag.WRITE)\n\n @property\n def cte(self) -> Set[SubQuery]:\n return self._property_getter(NodeTag.CTE) # type: ignore\n\n def add_cte(self, value) -> None:\n self._property_setter(value, NodeTag.CTE)\n\n def add_column_lineage(self, src: Column, tgt: Column) -> None:\n self.graph.add_edge(src, tgt, type=EdgeType.LINEAGE)\n self.graph.add_edge(tgt.parent, tgt, type=EdgeType.HAS_COLUMN)\n if src.parent is not None:\n # starting NetworkX v2.6, None is not allowed as node, see https://github.com/networkx/networkx/pull/4892\n self.graph.add_edge(src.parent, src, type=EdgeType.HAS_COLUMN)\n\n\nclass StatementLineageHolder(SubQueryLineageHolder, ColumnLineageMixin):\n \"\"\"\n Statement Level Lineage Result.\n\n Based on SubQueryLineageHolder, StatementLineageHolder holds extra attributes like drop and rename\n\n For drop, it is a Set[:class:`sqllineage.models.Table`].\n\n For rename, it a Set[Tuple[:class:`sqllineage.models.Table`, :class:`sqllineage.models.Table`]], with the first\n table being original table before renaming and the latter after renaming.\n \"\"\"\n\n def __str__(self):\n return \"\\n\".join(\n f\"table {attr}: {sorted(getattr(self, attr), key=lambda x: str(x)) if getattr(self, attr) else '[]'}\"\n for attr in [\"read\", \"write\", \"cte\", \"drop\", \"rename\"]\n )\n\n def __repr__(self):\n return str(self)\n\n @property\n def read(self) -> Set[Table]: # type: ignore\n return {t for t in super().read if isinstance(t, DATASET_CLASSES)}\n\n @property\n def write(self) -> Set[Table]: # type: ignore\n return {t for t in super().write if isinstance(t, DATASET_CLASSES)}\n\n @property\n def drop(self) -> Set[Table]:\n return self._property_getter(NodeTag.DROP) # type: ignore\n\n def add_drop(self, value) -> None:\n self._property_setter(value, NodeTag.DROP)\n\n @property\n def rename(self) -> Set[Tuple[Table, Table]]:\n return {\n (src, tgt)\n for src, tgt, attr in self.graph.edges(data=True)\n if attr.get(\"type\") == EdgeType.RENAME\n }\n\n def add_rename(self, src: Table, tgt: Table) -> None:\n self.graph.add_edge(src, tgt, type=EdgeType.RENAME)\n\n @staticmethod\n def of(holder: SubQueryLineageHolder):\n stmt_holder = StatementLineageHolder()\n stmt_holder.graph = holder.graph\n return stmt_holder\n\n\nclass SQLLineageHolder(ColumnLineageMixin):\n def __init__(self, graph: DiGraph):",
"start_line": 1,
"end_line": 150,
"total_lines": 280,
"is_truncated": true
}Generated tokens 403 tokens · stopped: STOP
Let's look at `end_of_query_cleanup` in `SourceHandler`.
```python
def end_of_query_cleanup(self, holder: SubQueryLineageHolder) -> None:\n for i, tbl in enumerate(self.tables):\n holder.add_read(tbl)\n self.union_barriers.append((len(self.columns), len(self.tables)))\n for i, (col_barrier, tbl_barrier) in enumerate(self.union_barriers):\n prev_col_barrier, prev_tbl_barrier = (\n (0, 0) if i == 0 else self.union_barriers[i - 1]\n )\n col_grp = self.columns[prev_col_barrier:col_barrier]\n tbl_grp = self.tables[prev_tbl_barrier:tbl_barrier]\n tgt_tbl = None\n if holder.write:\n if len(holder.write) > 1:\n raise SQLLineageException\n tgt_tbl = list(holder.write)[0]\n if tgt_tbl:\n for tgt_col in col_grp:\n tgt_col.parent = tgt_tbl\n for src_col in tgt_col.to_source_columns(\n self._get_alias_mapping_from_table_group(tbl_grp, holder)\n ):\n holder.add_column_lineage(src_col, tgt_col)\n```
And let's see `sqllineage/core/holders.py` to see how `add_column_lineage` is implemented.
<channel|><|tool_call>call:read_file{filepath:<|"|>sqllineage/core/holders.py<|"|>}<tool_call|><|tool_response>
Turn 7at 96 s256 tokens out10,241 prompt tokens
In `SubQueryLineageHolder.add_column_lineage`:
```python
def add_column_lineage(self, src: Column, tgt: Column) -> None:\n self.graph.add_edge(src, tgt, type=EdgeType.LINEAGE)\n self.graph.add_edge(tgt.parent, tgt, type=EdgeType.HAS_COLUMN)\n if src.parent is not None:\n # starting NetworkX v2.6, None is not allowed as node, see https://github.com/networkx/networkx/pull/4892\n self.graph.add_edge(src.parent, src, type=EdgeType.HAS_COLUMN)\n```
It adds edges `tgt.parent -> tgt` and `src.parent -> src` with `EdgeType.HAS_COLUMN`.
The `LineageRunner` (which I used in reproduction) probably just iterates over the nodes of the graph and their properties. Let's see `sqllineage/runner.py`.
TOOL CALL · read_file
{
"filepath": "sqllineage/runner.py"
}Result of read_file 5,132 characters
{
"status": "ok",
"filepath": "sqllineage/runner.py",
"content": "import logging\nfrom typing import Dict, List, Tuple\n\nimport sqlparse\nfrom sqlparse.sql import Statement\n\nfrom sqllineage.core import LineageAnalyzer\nfrom sqllineage.core.holders import SQLLineageHolder\nfrom sqllineage.core.models import Column, Table\nfrom sqllineage.drawing import draw_lineage_graph\nfrom sqllineage.io import to_cytoscape\nfrom sqllineage.utils.constant import LineageLevel\n\n\nlogger = logging.getLogger(__name__)\n\n\ndef lazy_method(func):\n def wrapper(*args, **kwargs):\n self = args[0]\n if not self._evaluated:\n self._eval()\n return func(*args, **kwargs)\n\n return wrapper\n\n\ndef lazy_property(func):\n return property(lazy_method(func))\n\n\nclass LineageRunner(object):\n def __init__(\n self,\n sql: str,\n encoding: str = None,\n verbose: bool = False,\n draw_options: Dict[str, str] = None,\n ):\n \"\"\"\n The entry point of SQLLineage after command line options are parsed.\n\n :param sql: a string representation of SQL statements.\n :param encoding: the encoding for sql string\n :param verbose: verbose flag indicate whether statement-wise lineage result will be shown\n \"\"\"\n self._encoding = encoding\n self._sql = sql\n self._verbose = verbose\n self._draw_options = draw_options if draw_options else {}\n self._evaluated = False\n self._stmt: List[Statement] = []\n\n @lazy_method\n def __str__(self):\n \"\"\"\n print out the Lineage Summary.\n \"\"\"\n statements = self.statements(strip_comments=True)\n source_tables = \"\\n \".join(str(t) for t in self.source_tables)\n target_tables = \"\\n \".join(str(t) for t in self.target_tables)\n combined = f\"\"\"Statements(#): {len(statements)}\nSource Tables:\n {source_tables}\nTarget Tables:\n {target_tables}\n\"\"\"\n if self.intermediate_tables:\n intermediate_tables = \"\\n \".join(\n str(t) for t in self.intermediate_tables\n )\n combined += f\"\"\"Intermediate Tables:\n {intermediate_tables}\"\"\"\n if self._verbose:\n result = \"\"\n for i, holder in enumerate(self._stmt_holders):\n stmt_short = statements[i].replace(\"\\n\", \"\")\n if len(stmt_short) > 50:\n stmt_short = stmt_short[:50] + \"...\"\n content = str(holder).replace(\"\\n\", \"\\n \")\n result += f\"\"\"Statement #{i + 1}: {stmt_short}\n {content}\n\"\"\"\n combined = result + \"==========\\nSummary:\\n\" + combined\n return combined\n\n @lazy_method\n def to_cytoscape(self, level=LineageLevel.TABLE) -> List[Dict[str, Dict[str, str]]]:\n \"\"\"\n to turn the DAG into cytoscape format.\n \"\"\"\n if level == LineageLevel.COLUMN:\n return to_cytoscape(self._sql_holder.column_lineage_graph, compound=True)\n else:\n return to_cytoscape(self._sql_holder.table_lineage_graph)\n\n def draw(self) -> None:\n \"\"\"\n to draw the lineage directed graph\n \"\"\"\n draw_options = self._draw_options\n if draw_options.get(\"f\") is None:\n draw_options.pop(\"f\", None)\n draw_options[\"e\"] = self._sql\n return draw_lineage_graph(**draw_options)\n\n @lazy_method\n def statements(self, **kwargs) -> List[str]:\n \"\"\"\n a list of statements.\n\n :param kwargs: the key arguments that will be passed to `sqlparse.format`\n \"\"\"\n return [sqlparse.format(s.value, **kwargs) for s in self.statements_parsed]\n\n @lazy_property\n def statements_parsed(self) -> List[Statement]:\n \"\"\"\n a list of :class:`sqlparse.sql.Statement`\n \"\"\"\n return self._stmt\n\n @lazy_property\n def source_tables(self) -> List[Table]:\n \"\"\"\n a list of source :class:`sqllineage.models.Table`\n \"\"\"\n return sorted(self._sql_holder.source_tables, key=lambda x: str(x))\n\n @lazy_property\n def target_tables(self) -> List[Table]:\n \"\"\"\n a list of target :class:`sqllineage.models.Table`\n \"\"\"\n return sorted(self._sql_holder.target_tables, key=lambda x: str(x))\n\n @lazy_property\n def intermediate_tables(self) -> List[Table]:\n \"\"\"\n a list of intermediate :class:`sqllineage.models.Table`\n \"\"\"\n return sorted(self._sql_holder.intermediate_tables, key=lambda x: str(x))\n\n @lazy_method\n def get_column_lineage(self, exclude_subquery=True) -> List[Tuple[Column, Column]]:\n \"\"\"\n a list of column tuple :class:`sqllineage.models.Column`\n \"\"\"\n # sort by target column, and then source column\n return sorted(",
"start_line": 1,
"end_line": 150,
"total_lines": 181,
"is_truncated": true
}Generated tokens 256 tokens · stopped: STOP
In `SubQueryLineageHolder.add_column_lineage`:
```python
def add_column_lineage(self, src: Column, tgt: Column) -> None:\n self.graph.add_edge(src, tgt, type=EdgeType.LINEAGE)\n self.graph.add_edge(tgt.parent, tgt, type=EdgeType.HAS_COLUMN)\n if src.parent is not None:\n # starting NetworkX v2.6, None is not allowed as node, see https://github.com/networkx/networkx/pull/4892\n self.graph.add_edge(src.parent, src, type=EdgeType.HAS_COLUMN)\n```
It adds edges `tgt.parent -> tgt` and `src.parent -> src` with `EdgeType.HAS_COLUMN`.
The `LineageRunner` (which I used in reproduction) probably just iterates over the nodes of the graph and their properties. Let's see `sqllineage/runner.py`.
<channel|><|tool_call>call:read_file{filepath:<|"|>sqllineage/runner.py<|"|>}<tool_call|><|tool_response>
Turn 8at 105 s80 tokens out12,031 prompt tokens
`LineageRunner.source_tables` calls `self._sql_holder.source_tables`. Let's see how `self._sql_holder` is created. I need to read more of `LineageRunner`.
TOOL CALL · read_file
{
"filepath": "sqllineage/runner.py",
"start_line": 151
}Result of read_file 1,295 characters
{
"status": "ok",
"filepath": "sqllineage/runner.py",
"content": " self._sql_holder.get_column_lineage(exclude_subquery),\n key=lambda x: (str(x[-1]), str(x[0])),\n )\n\n def print_column_lineage(self) -> None:\n \"\"\"\n print column level lineage to stdout\n \"\"\"\n for path in self.get_column_lineage():\n print(\" <- \".join(str(col) for col in reversed(path)))\n\n def print_table_lineage(self) -> None:\n \"\"\"\n print table level lineage to stdout\n \"\"\"\n print(str(self))\n\n def _eval(self):\n self._stmt = [\n s\n for s in sqlparse.parse(\n # first apply sqlparser formatting just to get rid of comments, which cause\n # inconsistencies in parsing output\n sqlparse.format(self._sql.strip(), self._encoding, strip_comments=True),\n self._encoding,\n )\n if s.token_first(skip_cm=True)\n ]\n self._stmt_holders = [LineageAnalyzer().analyze(stmt) for stmt in self._stmt]\n self._sql_holder = SQLLineageHolder.of(*self._stmt_holders)\n self._evaluated = True",
"start_line": 151,
"end_line": 181,
"total_lines": 181,
"is_truncated": false
}Generated tokens 80 tokens · stopped: STOP
`LineageRunner.source_tables` calls `self._sql_holder.source_tables`.
Let's see how `self._sql_holder` is created. I need to read more of `LineageRunner`.
<channel|><|tool_call>call:read_file{filepath:<|"|>sqllineage/runner.py<|"|>,start_line:151}<tool_call|><|tool_response>
Turn 9at 111 s64 tokens out12,507 prompt tokens
`SQLLineageHolder.of` is called. Let's find its definition in `sqllineage/core/holders.py`.
TOOL CALL · read_file
{
"filepath": "sqllineage/core/holders.py",
"start_line": 151
}Result of read_file 5,870 characters
{
"status": "ok",
"filepath": "sqllineage/core/holders.py",
"content": " \"\"\"\n The combined lineage result in representation of Directed Acyclic Graph.\n\n :param graph: the Directed Acyclic Graph holding all the combined lineage result.\n \"\"\"\n self.graph = graph\n self._selfloop_tables = self.__retrieve_tag_tables(NodeTag.SELFLOOP)\n self._sourceonly_tables = self.__retrieve_tag_tables(NodeTag.SOURCE_ONLY)\n self._targetonly_tables = self.__retrieve_tag_tables(NodeTag.TARGET_ONLY)\n\n @property\n def table_lineage_graph(self) -> DiGraph:\n \"\"\"\n The table level DiGraph held by SQLLineageHolder\n \"\"\"\n table_nodes = [n for n in self.graph.nodes if isinstance(n, DATASET_CLASSES)]\n return self.graph.subgraph(table_nodes)\n\n @property\n def column_lineage_graph(self) -> DiGraph:\n \"\"\"\n The column level DiGraph held by SQLLineageHolder\n \"\"\"\n column_nodes = [n for n in self.graph.nodes if isinstance(n, Column)]\n return self.graph.subgraph(column_nodes)\n\n @property\n def source_tables(self) -> Set[Table]:\n \"\"\"\n a list of source :class:`sqllineage.models.Table`\n \"\"\"\n source_tables = {\n table for table, deg in self.table_lineage_graph.in_degree if deg == 0\n }.intersection(\n {table for table, deg in self.table_lineage_graph.out_degree if deg > 0}\n )\n source_tables |= self._selfloop_tables\n source_tables |= self._sourceonly_tables\n return source_tables\n\n @property\n def target_tables(self) -> Set[Table]:\n \"\"\"\n a list of target :class:`sqllineage.models.Table`\n \"\"\"\n target_tables = {\n table for table, deg in self.table_lineage_graph.out_degree if deg == 0\n }.intersection(\n {table for table, deg in self.table_lineage_graph.in_degree if deg > 0}\n )\n target_tables |= self._selfloop_tables\n target_tables |= self._targetonly_tables\n return target_tables\n\n @property\n def intermediate_tables(self) -> Set[Table]:\n \"\"\"\n a list of intermediate :class:`sqllineage.models.Table`\n \"\"\"\n intermediate_tables = {\n table for table, deg in self.table_lineage_graph.in_degree if deg > 0\n }.intersection(\n {table for table, deg in self.table_lineage_graph.out_degree if deg > 0}\n )\n intermediate_tables -= self.__retrieve_tag_tables(NodeTag.SELFLOOP)\n return intermediate_tables\n\n def __retrieve_tag_tables(self, tag) -> Set[Table]:\n return {\n table\n for table, attr in self.graph.nodes(data=True)\n if attr.get(tag) is True\n }\n\n @staticmethod\n def of(*args: StatementLineageHolder):\n \"\"\"\n To assemble multiple :class:`sqllineage.holders.StatementLineageHolder` into\n :class:`sqllineage.holders.SQLLineageHolder`\n \"\"\"\n g = DiGraph()\n for holder in args:\n g = nx.compose(g, holder.graph)\n if holder.drop:\n for table in holder.drop:\n if g.has_node(table) and g.degree[table] == 0:\n g.remove_node(table)\n elif holder.rename:\n for (table_old, table_new) in holder.rename:\n g = nx.relabel_nodes(g, {table_old: table_new})\n g.remove_edge(table_new, table_new)\n if g.degree[table_new] == 0:\n g.remove_node(table_new)\n else:\n read, write = holder.read, holder.write\n if len(read) > 0 and len(write) == 0:\n # source only table comes from SELECT statement\n g.add_nodes_from(read, **{NodeTag.SOURCE_ONLY: True})\n elif len(read) == 0 and len(write) > 0:\n # target only table comes from case like: 1) INSERT/UPDATE constant values; 2) CREATE TABLE\n g.add_nodes_from(write, **{NodeTag.TARGET_ONLY: True})\n else:\n g.add_nodes_from(read)\n g.add_nodes_from(write)\n for source, target in itertools.product(read, write):\n g.add_edge(source, target, type=EdgeType.LINEAGE)\n for table in {e[0] for e in nx.selfloop_edges(g)}:\n g.nodes[table][NodeTag.SELFLOOP] = True\n # find all the columns that we can't assign accurately to a parent table (with multiple parent candidates)\n unresolved_cols = [\n (s, t)\n for s, t in g.edges\n if isinstance(s, Column) and len(s.parent_candidates) > 1\n ]\n for unresolved_col, tgt_col in unresolved_cols:\n # check if there's only one parent candidate contains the column with same name\n src_cols = []\n for parent in unresolved_col.parent_candidates:\n src_col = Column(unresolved_col.raw_name)\n src_col.parent = parent\n if g.has_edge(parent, src_col):\n src_cols.append(src_col)\n if len(src_cols) == 1:\n g.add_edge(src_cols[0], tgt_col, type=EdgeType.LINEAGE)\n g.remove_edge(unresolved_col, tgt_col)\n # when unresolved column got resolved, it will be orphan node, and we can remove it\n for node in [n for n, deg in g.degree if deg == 0]:\n if isinstance(node, Column) and len(node.parent_candidates) > 1:\n g.remove_node(node)\n return SQLLineageHolder(g)",
"start_line": 151,
"end_line": 280,
"total_lines": 280,
"is_truncated": false
}Generated tokens 64 tokens · stopped: STOP
`SQLLineageHolder.of` is called. Let's find its definition in `sqllineage/core/holders.py`.<channel|><|tool_call>call:read_file{filepath:<|"|>sqllineage/core/holders.py<|"|>,start_line:151}<tool_call|><|tool_response>
Turn 10at 206 s1,767 tokens out14,264 prompt tokens
I see something interesting in `SQLLineageHolder.of`:
```python
for holder in args:
g = nx.compose(g, holder.graph)
# ...
else:
read, write = holder.read, holder.write
if len(read) > 0 and len(write) == 0:
# source only table comes from SELECT statement
g.add_nodes_from(read, **{NodeTag.SOURCE_ONLY: True})
elif len(read) == 0 and len(write) > 0:
# target only table comes from case like: 1) INSERT/UPDATE constant values; 2) CREATE TABLE
g.add_nodes_from(write, **{NodeTag.TARGET_ONLY: True})
else:
g.add_nodes_from(read)
g.add_nodes_from(write)
for source, target in itertools.product(read, write):
g.add_edge(source, target, type=EdgeType.LINEAGE)
```
And `StatementLineageHolder`'s `read` and `write` properties:
```python
@property
def read(self) -> Set[Table]: # type: ignore
return {t for t in super().read if isinstance(t, DATASET_CLASSES)}
@property
def write(self) -> Set[Table]: # type: ignore
return {t for t in super().write if isinstance(t, DATASET_CLASSES)}
```
And `SubQueryLineageHolder`'s `read` and `write` (which `StatementLineageHolder` inherits):
```python
@property
def read(self) -> Set[Union[SubQuery, Table]]:
return self._property_getter(NodeTag.READ)
@property
def write(self) -> Set[Union[SubQuery, Table]]:
return self._property_getter(NodeTag.WRITE)
```
Wait, if the `StatementLineageHolder`'s `read` and `write` properties only include `DATASET_CLASSES` (Table and Path), then `SubQuery` is excluded.
But let's look at the reproduction output again:
`Source tables: [Table: <default>.foo, Column: <default>.foo.col]`
`Target tables: [Table: <default>.foo, Column: <default>.foo.col]`
This means `Column` objects are being returned by `self.source_tables` and `self.target_tables` in `LineageRunner`.
`LineageRunner.source_tables` calls `self._sql_holder.source_tables`.
```python
@property
def source_tables(self) -> Set[Table]:
"""
a list of source :class:`sqllineage.models.Table`
"""
source_tables = {
table for table, deg in self.table_lineage_graph.in_degree if deg == 0
}.intersection(
{table for table, deg in self.table_lineage_graph.out_degree if deg > 0}
)
source_tables |= self._selfloop_tables
source_tables |= self._sourceonly_tables
return source_tables
```
And `self.table_lineage_graph`:
```python
@property
def table_lineage_graph(self) -> DiGraph:
"""
The table level DiGraph held by SQLLineageHolder
"""
table_nodes = [n for n in self.graph.nodes if isinstance(n, DATASET_CLASSES)]
return self.graph.subgraph(table_nodes)
```
Wait, `DATASET_CLASSES` is `(Path, Table)`.
```python
DATASET_CLASSES = (Path, Table)
```
So `table_lineage_graph` should only contain `Path` and `Table` nodes.
Wait! If `Column` is showing up, it must be because it's in `self._selfloop_tables`, `self._sourceonly_tables`, or `self._targetonly_tables`.
Let's see how those are populated.
```python
def __init__(self, graph: DiGraph):
self.graph = graph
self._selfloop_tables = self.__retrieve_tag_tables(NodeTag.SELFLOOP)
self._sourceonly_tables = self.__retrieve_tag_tables(NodeTag.SOURCE_ONLY)
self._targetonly_tables = self.__retrieve_tag_tables(NodeTag.TARGET_ONLY)
def __retrieve_tag_tables(self, tag) -> Set[Table]:
return {
table
for table, attr in self.graph.nodes(data=True)
if attr.get(tag) is True
}
```
Now let's see where these tags are added.
In `SQLLineageHolder.of`:
```python
for holder in args:
g = nx.compose(g, holder.graph)
# ...
else:
read, write = holder.read, holder.write
if len(read) > 0 and len(write) == 0:
# source only table comes from SELECT statement
g.add_nodes_from(read, **{NodeTag.SOURCE_ONLY: True})
elif len(read) == 0 and len(write) > 0:
# target only table comes from case like: 1) INSERT/UPDATE constant values; 2) CREATE TABLE
g.add_nodes_from(write, **{NodeTag.TARGET_ONLY: True})
else:
g.add_nodes_from(read)
g.add_nodes_from(write)
for source, target in itertools.product(read, write):
g.add_edge(source, target, type=EdgeType.LINEAGE)
for table in {e[0] for e in nx.selfloop_edges(g)}:
g.nodes[table][NodeTag.SELFLOOP] = True
```
Wait, `nx.selfloop_edges(g)` returns edges where source and target are the same.
If `add_column_lineage` was called:
```python
def add_column_lineage(self, src: Column, tgt: Column) -> None:\n self.graph.add_edge(src, tgt, type=EdgeType.LINEAGE)\n self.graph.add_edge(tgt.parent, tgt, type=EdgeType.HAS_COLUMN)\n if src.parent is not None:\n # starting NetworkX v2.6, None is not allowed as node, see https://github.com/networkx/networkx/pull/4892\n self.graph.add_edge(src.parent, src, type=EdgeType.HAS_COLUMN)\n```
If `src` and `tgt` are the same `Column` object, then `nx.selfloop_edges(g)` will pick it up.
But in `INSERT OVERWRITE TABLE foo SELECT col FROM foo`, are `src` and `tgt` the same column?
`SourceHandler._handle_column` creates `Column.of(token)`.
`SourceHandler.end_of_query_cleanup` creates `tgt_col` (from `col_grp`) and calls `tgt_col.to_source_columns(...)` to get `src_col`.
Let's look at `sqllineage/core/models.py` to see how `Column` and `Table` are implemented.
TOOL CALL · read_file
{
"filepath": "sqllineage/core/models.py"
}Result of read_file 4,606 characters
{
"status": "ok",
"filepath": "sqllineage/core/models.py",
"content": "import warnings\nfrom typing import Dict, List, Optional, Set, Union\n\nfrom sqlparse import tokens as T\nfrom sqlparse.engine import grouping\nfrom sqlparse.sql import (\n Case,\n Comparison,\n Function,\n Identifier,\n IdentifierList,\n Operation,\n Parenthesis,\n Token,\n TokenList,\n)\nfrom sqlparse.utils import imt\n\nfrom sqllineage.exceptions import SQLLineageException\nfrom sqllineage.utils.entities import ColumnQualifierTuple\nfrom sqllineage.utils.helpers import escape_identifier_name\nfrom sqllineage.utils.sqlparse import get_parameters, is_subquery\n\n\nclass Schema:\n unknown = \"<default>\"\n\n def __init__(self, name: str = unknown):\n \"\"\"\n Data Class for Schema\n\n :param name: schema name\n \"\"\"\n self.raw_name = escape_identifier_name(name)\n\n def __str__(self):\n return self.raw_name.lower()\n\n def __repr__(self):\n return \"Schema: \" + str(self)\n\n def __eq__(self, other):\n return type(self) is type(other) and str(self) == str(other)\n\n def __hash__(self):\n return hash(str(self))\n\n def __bool__(self):\n return str(self) != self.unknown\n\n\nclass Table:\n def __init__(self, name: str, schema: Schema = Schema(), **kwargs):\n \"\"\"\n Data Class for Table\n\n :param name: table name\n :param schema: schema as defined by :class:`Schema`\n \"\"\"\n if \".\" not in name:\n self.schema = schema\n self.raw_name = escape_identifier_name(name)\n else:\n schema_name, table_name = name.rsplit(\".\", 1)\n if len(schema_name.split(\".\")) > 2:\n # allow db.schema as schema_name, but a.b.c as schema_name is forbidden\n raise SQLLineageException(\"Invalid format for table name: %s.\", name)\n self.schema = Schema(schema_name)\n self.raw_name = escape_identifier_name(table_name)\n if schema:\n warnings.warn(\"Name is in schema.table format, schema param is ignored\")\n self.alias = kwargs.pop(\"alias\", self.raw_name)\n\n def __str__(self):\n return f\"{self.schema}.{self.raw_name.lower()}\"\n\n def __repr__(self):\n return \"Table: \" + str(self)\n\n def __eq__(self, other):\n return type(self) is type(other) and str(self) == str(other)\n\n def __hash__(self):\n return hash(str(self))\n\n @staticmethod\n def of(identifier: Identifier) -> \"Table\":\n # rewrite identifier's get_real_name method, by matching the last dot instead of the first dot, so that the\n # real name for a.b.c will be c instead of b\n dot_idx, _ = identifier._token_matching(\n lambda token: imt(token, m=(T.Punctuation, \".\")),\n start=len(identifier.tokens),\n reverse=True,\n )\n real_name = identifier._get_first_name(dot_idx, real_name=True)\n # rewrite identifier's get_parent_name accordingly\n parent_name = (\n \"\".join(\n [\n escape_identifier_name(token.value)\n for token in identifier.tokens[:dot_idx]\n ]\n )\n if dot_idx\n else None\n )\n schema = Schema(parent_name) if parent_name is not None else Schema()\n alias = identifier.get_alias()\n kwargs = {\"alias\": alias} if alias else {}\n return Table(real_name, schema, **kwargs)\n\n\nclass Path:\n def __init__(self, uri: str):\n self.uri = escape_identifier_name(uri)\n\n def __str__(self):\n return self.uri\n\n def __repr__(self):\n return \"Path: \" + str(self)\n\n def __eq__(self, other):\n return type(self) is type(other) and self.uri == other.uri\n\n def __hash__(self):\n return hash(self.uri)\n\n\nclass Partition:\n pass\n\n\nclass SubQuery:\n def __init__(self, token: Parenthesis, alias: Optional[str]):\n \"\"\"\n Data Class for SubQuery\n\n :param token: subquery token\n :param alias: subquery name\n \"\"\"\n self.token = token\n self._query = token.value\n self.alias = alias if alias is not None else f\"subquery_{hash(self)}\"\n\n def __str__(self):\n return self.alias\n\n def __repr__(self):\n return \"SubQuery: \" + str(self)",
"start_line": 1,
"end_line": 150,
"total_lines": 348,
"is_truncated": true
}Generated tokens 1,767 tokens · stopped: STOP
I see something interesting in `SQLLineageHolder.of`:
```python
for holder in args:
g = nx.compose(g, holder.graph)
# ...
else:
read, write = holder.read, holder.write
if len(read) > 0 and len(write) == 0:
# source only table comes from SELECT statement
g.add_nodes_from(read, **{NodeTag.SOURCE_ONLY: True})
elif len(read) == 0 and len(write) > 0:
# target only table comes from case like: 1) INSERT/UPDATE constant values; 2) CREATE TABLE
g.add_nodes_from(write, **{NodeTag.TARGET_ONLY: True})
else:
g.add_nodes_from(read)
g.add_nodes_from(write)
for source, target in itertools.product(read, write):
g.add_edge(source, target, type=EdgeType.LINEAGE)
```
And `StatementLineageHolder`'s `read` and `write` properties:
```python
@property
def read(self) -> Set[Table]: # type: ignore
return {t for t in super().read if isinstance(t, DATASET_CLASSES)}
@property
def write(self) -> Set[Table]: # type: ignore
return {t for t in super().write if isinstance(t, DATASET_CLASSES)}
```
And `SubQueryLineageHolder`'s `read` and `write` (which `StatementLineageHolder` inherits):
```python
@property
def read(self) -> Set[Union[SubQuery, Table]]:
return self._property_getter(NodeTag.READ)
@property
def write(self) -> Set[Union[SubQuery, Table]]:
return self._property_getter(NodeTag.WRITE)
```
Wait, if the `StatementLineageHolder`'s `read` and `write` properties only include `DATASET_CLASSES` (Table and Path), then `SubQuery` is excluded.
But let's look at the reproduction output again:
`Source tables: [Table: <default>.foo, Column: <default>.foo.col]`
`Target tables: [Table: <default>.foo, Column: <default>.foo.col]`
This means `Column` objects are being returned by `self.source_tables` and `self.target_tables` in `LineageRunner`.
`LineageRunner.source_tables` calls `self._sql_holder.source_tables`.
```python
@property
def source_tables(self) -> Set[Table]:
"""
a list of source :class:`sqllineage.models.Table`
"""
source_tables = {
table for table, deg in self.table_lineage_graph.in_degree if deg == 0
}.intersection(
{table for table, deg in self.table_lineage_graph.out_degree if deg > 0}
)
source_tables |= self._selfloop_tables
source_tables |= self._sourceonly_tables
return source_tables
```
And `self.table_lineage_graph`:
```python
@property
def table_lineage_graph(self) -> DiGraph:
"""
The table level DiGraph held by SQLLineageHolder
"""
table_nodes = [n for n in self.graph.nodes if isinstance(n, DATASET_CLASSES)]
return self.graph.subgraph(table_nodes)
```
Wait, `DATASET_CLASSES` is `(Path, Table)`.
```python
DATASET_CLASSES = (Path, Table)
```
So `table_lineage_graph` should only contain `Path` and `Table` nodes.
Wait! If `Column` is showing up, it must be because it's in `self._selfloop_tables`, `self._sourceonly_tables`, or `self._targetonly_tables`.
Let's see how those are populated.
```python
def __init__(self, graph: DiGraph):
self.graph = graph
self._selfloop_tables = self.__retrieve_tag_tables(NodeTag.SELFLOOP)
self._sourceonly_tables = self.__retrieve_tag_tables(NodeTag.SOURCE_ONLY)
self._targetonly_tables = self.__retrieve_tag_tables(NodeTag.TARGET_ONLY)
def __retrieve_tag_tables(self, tag) -> Set[Table]:
return {
table
for table, attr in self.graph.nodes(data=True)
if attr.get(tag) is True
}
```
Now let's see where these tags are added.
In `SQLLineageHolder.of`:
```python
for holder in args:
g = nx.compose(g, holder.graph)
# ...
else:
read, write = holder.read, holder.write
if len(read) > 0 and len(write) == 0:
# source only table comes from SELECT statement
g.add_nodes_from(read, **{NodeTag.SOURCE_ONLY: True})
elif len(read) == 0 and len(write) > 0:
# target only table comes from case like: 1) INSERT/UPDATE constant values; 2) CREATE TABLE
g.add_nodes_from(write, **{NodeTag.TARGET_ONLY: True})
else:
g.add_nodes_from(read)
g.add_nodes_from(write)
for source, target in itertools.product(read, write):
g.add_edge(source, target, type=EdgeType.LINEAGE)
for table in {e[0] for e in nx.selfloop_edges(g)}:
g.nodes[table][NodeTag.SELFLOOP] = True
```
Wait, `nx.selfloop_edges(g)` returns edges where source and target are the same.
If `add_column_lineage` was called:
```python
def add_column_lineage(self, src: Column, tgt: Column) -> None:\n self.graph.add_edge(src, tgt, type=EdgeType.LINEAGE)\n self.graph.add_edge(tgt.parent, tgt, type=EdgeType.HAS_COLUMN)\n if src.parent is not None:\n # starting NetworkX v2.6, None is not allowed as node, see https://github.com/networkx/networkx/pull/4892\n self.graph.add_edge(src.parent, src, type=EdgeType.HAS_COLUMN)\n```
If `src` and `tgt` are the same `Column` object, then `nx.selfloop_edges(g)` will pick it up.
But in `INSERT OVERWRITE TABLE foo SELECT col FROM foo`, are `src` and `tgt` the same column?
`SourceHandler._handle_column` creates `Column.of(token)`.
`SourceHandler.end_of_query_cleanup` creates `tgt_col` (from `col_grp`) and calls `tgt_col.to_source_columns(...)` to get `src_col`.
Let's look at `sqllineage/core/models.py` to see how `Column` and `Table` are implemented.
<channel|><|tool_call>call:read_file{filepath:<|"|>sqllineage/core/models.py<|"|>}<tool_call|><|tool_response>
Turn 11at 209 s41 tokens out17,410 prompt tokens
And the `Column` class.
TOOL CALL · read_file
{
"filepath": "sqllineage/core/models.py",
"start_line": 151
}Result of read_file 6,008 characters
{
"status": "ok",
"filepath": "sqllineage/core/models.py",
"content": "\n def __eq__(self, other):\n return type(self) is type(other) and self._query == other._query\n\n def __hash__(self):\n return hash(self._query)\n\n @staticmethod\n def of(parenthesis: Parenthesis, alias: Optional[str]) -> \"SubQuery\":\n return SubQuery(parenthesis, alias)\n\n\nclass Column:\n def __init__(self, name: str, **kwargs):\n \"\"\"\n Data Class for Column\n\n :param name: column name\n :param parent: :class:`Table` or :class:`SubQuery`\n :param kwargs:\n \"\"\"\n self._parent: Set[Union[Table, SubQuery]] = set()\n self.raw_name = escape_identifier_name(name)\n self.source_columns = kwargs.pop(\"source_columns\", ((self.raw_name, None),))\n\n def __str__(self):\n return (\n f\"{self.parent}.{self.raw_name.lower()}\"\n if self.parent is not None and not isinstance(self.parent, Path)\n else f\"{self.raw_name.lower()}\"\n )\n\n def __repr__(self):\n return \"Column: \" + str(self)\n\n def __eq__(self, other):\n return type(self) is type(other) and str(self) == str(other)\n\n def __hash__(self):\n return hash(str(self))\n\n @property\n def parent(self) -> Optional[Union[Table, SubQuery]]:\n return list(self._parent)[0] if len(self._parent) == 1 else None\n\n @parent.setter\n def parent(self, value: Union[Table, SubQuery]):\n self._parent.add(value)\n\n @property\n def parent_candidates(self) -> List[Union[Table, SubQuery]]:\n return sorted(self._parent, key=lambda p: str(p))\n\n @staticmethod\n def of(token: Token):\n if isinstance(token, Identifier):\n alias = token.get_alias()\n if alias:\n # handle column alias, including alias for column name or Case, Function\n kw_idx, kw = token.token_next_by(m=(T.Keyword, \"AS\"))\n if kw_idx is None:\n # alias without AS\n kw_idx, _ = token.token_next_by(i=Identifier)\n if kw_idx is None:\n # invalid syntax: col AS, without alias\n return Column(alias)\n else:\n idx, _ = token.token_prev(kw_idx, skip_cm=True)\n expr = grouping.group(TokenList(token.tokens[: idx + 1]))[0]\n source_columns = Column._extract_source_columns(expr)\n return Column(alias, source_columns=source_columns)\n else:\n # select column name directly without alias\n return Column(\n token.get_real_name(),\n source_columns=((token.get_real_name(), token.get_parent_name()),),\n )\n else:\n # Wildcard, Case, Function without alias (thus not recognized as an Identifier)\n source_columns = Column._extract_source_columns(token)\n return Column(token.value, source_columns=source_columns)\n\n @staticmethod\n def _extract_source_columns(token: Token) -> List[ColumnQualifierTuple]:\n if isinstance(token, Function):\n # max(col1) AS col2\n source_columns = [\n cqt\n for tk in get_parameters(token)\n for cqt in Column._extract_source_columns(tk)\n ]\n elif isinstance(token, Parenthesis):\n if is_subquery(token):\n # This is to avoid circular import\n from sqllineage.runner import LineageRunner\n\n # (SELECT avg(col1) AS col1 FROM tab3), used after WHEN or THEN in CASE clause\n src_cols = [\n lineage[0]\n for lineage in LineageRunner(token.value).get_column_lineage(\n exclude_subquery=False\n )\n ]\n source_columns = [\n ColumnQualifierTuple(src_col.raw_name, src_col.parent.raw_name)\n for src_col in src_cols\n ]\n else:\n # (col1 + col2) AS col3\n source_columns = [\n cqt\n for tk in token.tokens[1:-1]\n for cqt in Column._extract_source_columns(tk)\n ]\n elif isinstance(token, Operation):\n # col1 + col2 AS col3\n source_columns = [\n cqt\n for tk in token.get_sublists()\n for cqt in Column._extract_source_columns(tk)\n ]\n elif isinstance(token, Case):\n # CASE WHEN col1 = 2 THEN \"V1\" WHEN col1 = \"2\" THEN \"V2\" END AS col2\n source_columns = [\n cqt\n for tk in token.get_sublists()\n for cqt in Column._extract_source_columns(tk)\n ]\n elif isinstance(token, Comparison):\n source_columns = Column._extract_source_columns(\n token.left\n ) + Column._extract_source_columns(token.right)\n elif isinstance(token, IdentifierList):\n source_columns = [\n cqt\n for tk in token.get_sublists()\n for cqt in Column._extract_source_columns(tk)\n ]\n elif isinstance(token, Identifier):\n if token.get_real_name():\n # col1 AS col2\n source_columns = [\n ColumnQualifierTuple(token.get_real_name(), token.get_parent_name())\n ]\n else:\n # col1=1 AS int\n source_columns = [\n cqt\n for tk in token.get_sublists()\n for cqt in Column._extract_source_columns(tk)",
"start_line": 151,
"end_line": 300,
"total_lines": 348,
"is_truncated": true
}Generated tokens 41 tokens · stopped: STOP
And the `Column` class.
<channel|><|tool_call>call:read_file{filepath:<|"|>sqllineage/core/models.py<|"|>,start_line:151}<tool_call|><|tool_response>
Turn 12at 304 s760 tokens out8,924 prompt tokens
Okay, let's go back to `SQLLineageHolder.source_tables` and `target_tables`.
```python
@property
def source_tables(self) -> Set[Table]:
"""
a list of source :class:`sqllineage.models.Table`
"""
source_tables = {
table for table, deg in self.table_lineage_graph.in_degree if deg == 0
}.intersection(
{table for table, deg in self.table_lineage_graph.out_degree if deg > 0}
)
source_tables |= self._selfloop_tables
source_tables |= self._sourceonly_tables
return source_tables
```
And `self._selfloop_tables`, `self._sourceonly_tables`, `self._targetonly_tables` are populated using `__retrieve_tag_tables`:
```python
def __retrieve_tag_tables(self, tag) -> Set[Table]:
return {
table
for table, attr in self.graph.nodes(data=True)
if attr.get(tag) is True
}
```
`self.graph` contains ALL nodes (Table, Column, etc.).
So if a `Column` node has `NodeTag.SELFLOOP`, `NodeTag.SOURCE_ONLY`, or `NodeTag.TARGET_ONLY`, it will be included in `source_tables` or `target_tables`, even though `table_lineage_graph` correctly filters them out.
Now, how can a `Column` get these tags?
1. `NodeTag.SELFLOOP`:
```python
for table in {e[0] for e in nx.selfloop_edges(g)}:
g.nodes[table][NodeTag.SELFLOOP] = True
```
If `g` has an edge from a `Column` to itself, it gets `NodeTag.SELFLOOP`.
2. `NodeTag.SOURCE_ONLY`:
```python
if len(read) > 0 and len(write) == 0:
# source only table comes from SELECT statement
g.add_nodes_from(read, **{NodeTag.SOURCE_ONLY: True})
```
But `read` and `write` in `StatementLineageHolder` are filtered to only include `DATASET_CLASSES`.
Wait, look at `StatementLineageHolder.read`:
```python
@property
def read(self) -> Set[Table]: # type: ignore
return {t for t in super().read if isinstance(t, DATASET_CLASSES)}
```
`super().read` is `SubQueryLineageHolder.read`.
Wait! `SubQueryLineageHolder.read` returns:
```python
@property
def read(self) -> Set[Union[SubQuery, Table]]:
return self._property_getter(NodeTag.READ)
```
And `SubQueryLineageHolder` populates `NodeTag.READ` and `NodeTag.WRITE`.
Let's check `sqllineage/core/holders.py` again for how `NodeTag.READ` and `NodeTag.WRITE` are populated.
TOOL CALL · read_file
{
"filepath": "sqllineage/core/holders.py",
"start_line": 1
}Result of read_file 5,712 characters
{
"status": "ok",
"filepath": "sqllineage/core/holders.py",
"content": "import itertools\nfrom typing import Set, Tuple, Union\n\nimport networkx as nx\nfrom networkx import DiGraph\n\nfrom sqllineage.core.models import Column, Path, SubQuery, Table\nfrom sqllineage.utils.constant import EdgeType, NodeTag\n\nDATASET_CLASSES = (Path, Table)\n\n\nclass ColumnLineageMixin:\n def get_column_lineage(self, exclude_subquery=True) -> Set[Tuple[Column, ...]]:\n self.graph: DiGraph # For mypy attribute checking\n # filter all the column node in the graph\n column_nodes = [n for n in self.graph.nodes if isinstance(n, Column)]\n column_graph = self.graph.subgraph(column_nodes)\n source_columns = {column for column, deg in column_graph.in_degree if deg == 0}\n # if a column lineage path ends at SubQuery, then it should be pruned\n target_columns = {\n node\n for node, deg in column_graph.out_degree\n if isinstance(node, Column) and deg == 0\n }\n if exclude_subquery:\n target_columns = {\n node for node in target_columns if isinstance(node.parent, Table)\n }\n columns = set()\n for (source, target) in itertools.product(source_columns, target_columns):\n simple_paths = list(nx.all_simple_paths(self.graph, source, target))\n if len(simple_paths) == 1:\n columns.add(tuple(simple_paths[0]))\n # we can ignore when simple path doesn't exist, but could there be more than one simple path?\n return columns\n\n\nclass SubQueryLineageHolder(ColumnLineageMixin):\n \"\"\"\n SubQuery/Query Level Lineage Result.\n\n SubQueryLineageHolder will hold attributes like read, write, cte\n\n Each of them is a Set[:class:`sqllineage.models.Table`].\n\n This is the most atomic representation of lineage result.\n \"\"\"\n\n def __init__(self) -> None:\n self.graph = nx.DiGraph()\n\n def __or__(self, other):\n self.graph = nx.compose(self.graph, other.graph)\n return self\n\n def _property_getter(self, prop) -> Set[Union[SubQuery, Table]]:\n return {t for t, attr in self.graph.nodes(data=True) if attr.get(prop) is True}\n\n def _property_setter(self, value, prop) -> None:\n self.graph.add_node(value, **{prop: True})\n\n @property\n def read(self) -> Set[Union[SubQuery, Table]]:\n return self._property_getter(NodeTag.READ)\n\n def add_read(self, value) -> None:\n self._property_setter(value, NodeTag.READ)\n # the same table can be added (in SQL: joined) multiple times with different alias\n if hasattr(value, \"alias\"):\n self.graph.add_edge(value, value.alias, type=EdgeType.HAS_ALIAS)\n\n @property\n def write(self) -> Set[Union[SubQuery, Table]]:\n return self._property_getter(NodeTag.WRITE)\n\n def add_write(self, value) -> None:\n self._property_setter(value, NodeTag.WRITE)\n\n @property\n def cte(self) -> Set[SubQuery]:\n return self._property_getter(NodeTag.CTE) # type: ignore\n\n def add_cte(self, value) -> None:\n self._property_setter(value, NodeTag.CTE)\n\n def add_column_lineage(self, src: Column, tgt: Column) -> None:\n self.graph.add_edge(src, tgt, type=EdgeType.LINEAGE)\n self.graph.add_edge(tgt.parent, tgt, type=EdgeType.HAS_COLUMN)\n if src.parent is not None:\n # starting NetworkX v2.6, None is not allowed as node, see https://github.com/networkx/networkx/pull/4892\n self.graph.add_edge(src.parent, src, type=EdgeType.HAS_COLUMN)\n\n\nclass StatementLineageHolder(SubQueryLineageHolder, ColumnLineageMixin):\n \"\"\"\n Statement Level Lineage Result.\n\n Based on SubQueryLineageHolder, StatementLineageHolder holds extra attributes like drop and rename\n\n For drop, it is a Set[:class:`sqllineage.models.Table`].\n\n For rename, it a Set[Tuple[:class:`sqllineage.models.Table`, :class:`sqllineage.models.Table`]], with the first\n table being original table before renaming and the latter after renaming.\n \"\"\"\n\n def __str__(self):\n return \"\\n\".join(\n f\"table {attr}: {sorted(getattr(self, attr), key=lambda x: str(x)) if getattr(self, attr) else '[]'}\"\n for attr in [\"read\", \"write\", \"cte\", \"drop\", \"rename\"]\n )\n\n def __repr__(self):\n return str(self)\n\n @property\n def read(self) -> Set[Table]: # type: ignore\n return {t for t in super().read if isinstance(t, DATASET_CLASSES)}\n\n @property\n def write(self) -> Set[Table]: # type: ignore\n return {t for t in super().write if isinstance(t, DATASET_CLASSES)}\n\n @property\n def drop(self) -> Set[Table]:\n return self._property_getter(NodeTag.DROP) # type: ignore\n\n def add_drop(self, value) -> None:\n self._property_setter(value, NodeTag.DROP)\n\n @property\n def rename(self) -> Set[Tuple[Table, Table]]:\n return {\n (src, tgt)\n for src, tgt, attr in self.graph.edges(data=True)\n if attr.get(\"type\") == EdgeType.RENAME\n }\n\n def add_rename(self, src: Table, tgt: Table) -> None:\n self.graph.add_edge(src, tgt, type=EdgeType.RENAME)\n\n @staticmethod\n def of(holder: SubQueryLineageHolder):\n stmt_holder = StatementLineageHolder()\n stmt_holder.graph = holder.graph\n return stmt_holder\n\n\nclass SQLLineageHolder(ColumnLineageMixin):\n def __init__(self, graph: DiGraph):",
"start_line": 1,
"end_line": 150,
"total_lines": 280,
"is_truncated": true
}Generated tokens 760 tokens · stopped: STOP
Okay, let's go back to `SQLLineageHolder.source_tables` and `target_tables`.
```python
@property
def source_tables(self) -> Set[Table]:
"""
a list of source :class:`sqllineage.models.Table`
"""
source_tables = {
table for table, deg in self.table_lineage_graph.in_degree if deg == 0
}.intersection(
{table for table, deg in self.table_lineage_graph.out_degree if deg > 0}
)
source_tables |= self._selfloop_tables
source_tables |= self._sourceonly_tables
return source_tables
```
And `self._selfloop_tables`, `self._sourceonly_tables`, `self._targetonly_tables` are populated using `__retrieve_tag_tables`:
```python
def __retrieve_tag_tables(self, tag) -> Set[Table]:
return {
table
for table, attr in self.graph.nodes(data=True)
if attr.get(tag) is True
}
```
`self.graph` contains ALL nodes (Table, Column, etc.).
So if a `Column` node has `NodeTag.SELFLOOP`, `NodeTag.SOURCE_ONLY`, or `NodeTag.TARGET_ONLY`, it will be included in `source_tables` or `target_tables`, even though `table_lineage_graph` correctly filters them out.
Now, how can a `Column` get these tags?
1. `NodeTag.SELFLOOP`:
```python
for table in {e[0] for e in nx.selfloop_edges(g)}:
g.nodes[table][NodeTag.SELFLOOP] = True
```
If `g` has an edge from a `Column` to itself, it gets `NodeTag.SELFLOOP`.
2. `NodeTag.SOURCE_ONLY`:
```python
if len(read) > 0 and len(write) == 0:
# source only table comes from SELECT statement
g.add_nodes_from(read, **{NodeTag.SOURCE_ONLY: True})
```
But `read` and `write` in `StatementLineageHolder` are filtered to only include `DATASET_CLASSES`.
Wait, look at `StatementLineageHolder.read`:
```python
@property
def read(self) -> Set[Table]: # type: ignore
return {t for t in super().read if isinstance(t, DATASET_CLASSES)}
```
`super().read` is `SubQueryLineageHolder.read`.
Wait! `SubQueryLineageHolder.read` returns:
```python
@property
def read(self) -> Set[Union[SubQuery, Table]]:
return self._property_getter(NodeTag.READ)
```
And `SubQueryLineageHolder` populates `NodeTag.READ` and `NodeTag.WRITE`.
Let's check `sqllineage/core/holders.py` again for how `NodeTag.READ` and `NodeTag.WRITE` are populated.<channel|><|tool_call>call:read_file{filepath:<|"|>sqllineage/core/holders.py<|"|>,start_line:1}<tool_call|><|tool_response>
Turn 13at 388 s1,582 tokens out11,449 prompt tokens
Wait, I missed something in `SubQueryLineageHolder.add_column_lineage`:
```python
def add_column_lineage(self, src: Column, tgt: Column) -> None:
self.graph.add_edge(src, tgt, type=EdgeType.LINEAGE)
self.graph.add_edge(tgt.parent, tgt, type=EdgeType.HAS_COLUMN)
if src.parent is not None:
# starting NetworkX v2.6, None is not allowed as node, see https://github.com/networkx/networkx/pull/4892
self.graph.add_edge(src.parent, src, type=EdgeType.HAS_COLUMN)
```
If `src` and `tgt` are the same `Column` object, then `self.graph.add_edge(src, tgt, type=EdgeType.LINEAGE)` creates a self-loop on the `Column` node.
Then in `SQLLineageHolder.of`:
```python
for table in {e[0] for e in nx.selfloop_edges(g)}:
g.nodes[table][NodeTag.SELFLOOP] = True
```
This is it! If a column is self-dependent, it gets the `NodeTag.SELFLOOP` tag.
Then `SQLLineageHolder.source_tables` includes all nodes that have `NodeTag.SELFLOOP` via `__retrieve_tag_tables`.
```python
def __retrieve_tag_tables(self, tag) -> Set[Table]:
return {
table
for table, attr in self.graph.nodes(data=True)
if attr.get(tag) is True
}
```
The fix is to make sure `__retrieve_tag_tables` only returns nodes that are `DATASET_CLASSES` (Table or Path).
Let's verify if this is the only place where this happens.
`__retrieve_tag_tables` is used for:
- `self._selfloop_tables`
- `self._sourceonly_tables`
- `self._targetonly_tables`
- `intermediate_tables` uses it to exclude self-loops.
All of these should only contain Tables or Paths.
So, I should change `__retrieve_tag_tables` to:
```python
def __retrieve_tag_tables(self, tag) -> Set[Table]:
return {
table
for table, attr in self.graph.nodes(data=True)
if attr.get(tag) is True and isinstance(table, DATASET_CLASSES)
}
```
Let's double check if any other part of the code expects `__retrieve_tag_tables` to return non-tables.
It's only used in `SQLLineageHolder`'s properties.
Wait, are there any other places?
```python
@property
def intermediate_tables(self) -> Set[Table]:
"""
a list of intermediate :class:`sqllineage.models.Table`
"""
intermediate_tables = {
table for table, deg in self.table_lineage_graph.in_degree if deg > 0
}.intersection(
{table for table, deg in self.table_lineage_graph.out_degree if deg > 0}
)
intermediate_tables -= self.__retrieve_tag_tables(NodeTag.SELFLOOP)
return intermediate_tables
```
If `__retrieve_tag_tables(NodeTag.SELFLOOP)` returns columns, they are subtracted from `intermediate_tables` (which only contains `DATASET_CLASSES` because it's based on `self.table_lineage_graph`). So it's fine.
Let's review the reproduction one more time.
`INSERT OVERWRITE TABLE foo SELECT col FROM foo`
This should result in:
`Source tables: [Table: <default>.foo]`
`Target tables: [Table: <default>.foo]`
(Since it's a self-loop table)
And for columns:
`Source columns: [Column: <default>.foo.col]`
`Target columns: [Column: <default>.foo.col]`
Wait, if the column is self-dependent, it should still be in column lineage.
`LineageRunner.get_column_lineage` uses `self._sql_holder.column_lineage_graph`.
```python
@property
def column_lineage_graph(self) -> DiGraph:
"""
The column level DiGraph held by SQLLineageHolder
"""
column_nodes = [n for n in self.graph.nodes if isinstance(n, Column)]
return self.graph.subgraph(column_nodes)
```
This is correct.
So the fix is indeed in `__retrieve_tag_tables`.
Wait, I noticed something else in `SQLLineageHolder.of`:
```python
if len(read) > 0 and len(write) == 0:
# source only table comes from SELECT statement
g.add_nodes_from(read, **{NodeTag.SOURCE_ONLY: True})
elif len(read) == 0 and len(write) > 0:
# target only table comes from case like: 1) INSERT/UPDATE constant values; 2) CREATE TABLE
g.add_nodes_from(write, **{NodeTag.TARGET_ONLY: True})
```
`read` and `write` are from `StatementLineageHolder`, which already filters for `DATASET_CLASSES`. So `NodeTag.SOURCE_ONLY` and `NodeTag.TARGET_ONLY` are only ever added to `DATASET_CLASSES`.
The only one that can be added to anything is `NodeTag.SELFLOOP`:
```python
for table in {e[0] for e in nx.selfloop_edges(g)}:
g.nodes[table][NodeTag.SELFLOOP] = True
```
`nx.selfloop_edges(g)` can return any node that has a self-loop, including `Column` nodes.
So by fixing `__retrieve_tag_tables`, we solve this.
Let's implement the fix.
TOOL CALL · edit_file
{
"filepath": "sqllineage/core/holders.py",
"new_string": " def __retrieve_tag_tables(self, tag) -> Set[Table]:\n return {\n table\n for table, attr in self.graph.nodes(data=True)\n if attr.get(tag) is True and isinstance(table, DATASET_CLASSES)\n }",
"old_string": " def __retrieve_tag_tables(self, tag) -> Set[Table]:\n return {\n table\n for table, attr in self.graph.nodes(data=True)\n if attr.get(tag) is True\n }"
}Result of edit_file 473 characters
{
"status": "ok",
"filepath": "sqllineage/core/holders.py",
"occurrences": 1,
"strategy": "exact",
"diff": "--- a/sqllineage/core/holders.py\n+++ b/sqllineage/core/holders.py\n@@ -219,7 +219,7 @@\n return {\n table\n for table, attr in self.graph.nodes(data=True)\n- if attr.get(tag) is True\n+ if attr.get(tag) is True and isinstance(table, DATASET_CLASSES)\n }\n \n @staticmethod\n",
"is_truncated": false
}Generated tokens 1,582 tokens · stopped: STOP
Wait, I missed something in `SubQueryLineageHolder.add_column_lineage`:
```python
def add_column_lineage(self, src: Column, tgt: Column) -> None:
self.graph.add_edge(src, tgt, type=EdgeType.LINEAGE)
self.graph.add_edge(tgt.parent, tgt, type=EdgeType.HAS_COLUMN)
if src.parent is not None:
# starting NetworkX v2.6, None is not allowed as node, see https://github.com/networkx/networkx/pull/4892
self.graph.add_edge(src.parent, src, type=EdgeType.HAS_COLUMN)
```
If `src` and `tgt` are the same `Column` object, then `self.graph.add_edge(src, tgt, type=EdgeType.LINEAGE)` creates a self-loop on the `Column` node.
Then in `SQLLineageHolder.of`:
```python
for table in {e[0] for e in nx.selfloop_edges(g)}:
g.nodes[table][NodeTag.SELFLOOP] = True
```
This is it! If a column is self-dependent, it gets the `NodeTag.SELFLOOP` tag.
Then `SQLLineageHolder.source_tables` includes all nodes that have `NodeTag.SELFLOOP` via `__retrieve_tag_tables`.
```python
def __retrieve_tag_tables(self, tag) -> Set[Table]:
return {
table
for table, attr in self.graph.nodes(data=True)
if attr.get(tag) is True
}
```
The fix is to make sure `__retrieve_tag_tables` only returns nodes that are `DATASET_CLASSES` (Table or Path).
Let's verify if this is the only place where this happens.
`__retrieve_tag_tables` is used for:
- `self._selfloop_tables`
- `self._sourceonly_tables`
- `self._targetonly_tables`
- `intermediate_tables` uses it to exclude self-loops.
All of these should only contain Tables or Paths.
So, I should change `__retrieve_tag_tables` to:
```python
def __retrieve_tag_tables(self, tag) -> Set[Table]:
return {
table
for table, attr in self.graph.nodes(data=True)
if attr.get(tag) is True and isinstance(table, DATASET_CLASSES)
}
```
Let's double check if any other part of the code expects `__retrieve_tag_tables` to return non-tables.
It's only used in `SQLLineageHolder`'s properties.
Wait, are there any other places?
```python
@property
def intermediate_tables(self) -> Set[Table]:
"""
a list of intermediate :class:`sqllineage.models.Table`
"""
intermediate_tables = {
table for table, deg in self.table_lineage_graph.in_degree if deg > 0
}.intersection(
{table for table, deg in self.table_lineage_graph.out_degree if deg > 0}
)
intermediate_tables -= self.__retrieve_tag_tables(NodeTag.SELFLOOP)
return intermediate_tables
```
If `__retrieve_tag_tables(NodeTag.SELFLOOP)` returns columns, they are subtracted from `intermediate_tables` (which only contains `DATASET_CLASSES` because it's based on `self.table_lineage_graph`). So it's fine.
Let's review the reproduction one more time.
`INSERT OVERWRITE TABLE foo SELECT col FROM foo`
This should result in:
`Source tables: [Table: <default>.foo]`
`Target tables: [Table: <default>.foo]`
(Since it's a self-loop table)
And for columns:
`Source columns: [Column: <default>.foo.col]`
`Target columns: [Column: <default>.foo.col]`
Wait, if the column is self-dependent, it should still be in column lineage.
`LineageRunner.get_column_lineage` uses `self._sql_holder.column_lineage_graph`.
```python
@property
def column_lineage_graph(self) -> DiGraph:
"""
The column level DiGraph held by SQLLineageHolder
"""
column_nodes = [n for n in self.graph.nodes if isinstance(n, Column)]
return self.graph.subgraph(column_nodes)
```
This is correct.
So the fix is indeed in `__retrieve_tag_tables`.
Wait, I noticed something else in `SQLLineageHolder.of`:
```python
if len(read) > 0 and len(write) == 0:
# source only table comes from SELECT statement
g.add_nodes_from(read, **{NodeTag.SOURCE_ONLY: True})
elif len(read) == 0 and len(write) > 0:
# target only table comes from case like: 1) INSERT/UPDATE constant values; 2) CREATE TABLE
g.add_nodes_from(write, **{NodeTag.TARGET_ONLY: True})
```
`read` and `write` are from `StatementLineageHolder`, which already filters for `DATASET_CLASSES`. So `NodeTag.SOURCE_ONLY` and `NodeTag.TARGET_ONLY` are only ever added to `DATASET_CLASSES`.
The only one that can be added to anything is `NodeTag.SELFLOOP`:
```python
for table in {e[0] for e in nx.selfloop_edges(g)}:
g.nodes[table][NodeTag.SELFLOOP] = True
```
`nx.selfloop_edges(g)` can return any node that has a self-loop, including `Column` nodes.
So by fixing `__retrieve_tag_tables`, we solve this.
Let's implement the fix.<channel|><|tool_call>call:edit_file{filepath:<|"|>sqllineage/core/holders.py<|"|>,new_string:<|"|> def __retrieve_tag_tables(self, tag) -> Set[Table]:
return {
table
for table, attr in self.graph.nodes(data=True)
if attr.get(tag) is True and isinstance(table, DATASET_CLASSES)
}<|"|>,old_string:<|"|> def __retrieve_tag_tables(self, tag) -> Set[Table]:
return {
table
for table, attr in self.graph.nodes(data=True)
if attr.get(tag) is True
}<|"|>}<tool_call|><|tool_response>
Turn 14at 402 s156 tokens out13,209 prompt tokens
Now let's run the reproduction script to verify the fix.
TOOL CALL · run_command
{
"command": "python3 - <<'PY'\nfrom sqllineage.runner import LineageRunner\n\nsql = \"INSERT OVERWRITE TABLE foo SELECT col FROM foo\"\nrunner = LineageRunner(sql)\n\nprint(f\"Source tables: {runner.source_tables}\")\nprint(f\"Target tables: {runner.target_tables}\")\nprint(f\"Source columns: {[c[0] for c in runner.get_column_lineage()]}\")\nprint(f\"Target columns: {[c[-1] for c in runner.get_column_lineage()]}\")\nPY\n"
}Result of run_command 178 characters
{
"status": "ok",
"stdout": "Source tables: [Table: <default>.foo]\nTarget tables: [Table: <default>.foo]\nSource columns: []\nTarget columns: []\n",
"stderr": "",
"exit_code": 0
}Generated tokens 156 tokens · stopped: STOP
Now let's run the reproduction script to verify the fix.
<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY'
from sqllineage.runner import LineageRunner
sql = "INSERT OVERWRITE TABLE foo SELECT col FROM foo"
runner = LineageRunner(sql)
print(f"Source tables: {runner.source_tables}")
print(f"Target tables: {runner.target_tables}")
print(f"Source columns: {[c[0] for c in runner.get_column_lineage()]}")
print(f"Target columns: {[c[-1] for c in runner.get_column_lineage()]}")
PY
<|"|>}<tool_call|><|tool_response>
Patch, tests and logs
Final code change Included
diff --git a/sqllineage/core/holders.py b/sqllineage/core/holders.py
index d9ce561..4ebf952 100644
--- a/sqllineage/core/holders.py
+++ b/sqllineage/core/holders.py
@@ -219,7 +219,7 @@ class SQLLineageHolder(ColumnLineageMixin):
return {
table
for table, attr in self.graph.nodes(data=True)
- if attr.get(tag) is True
+ if attr.get(tag) is True and isinstance(table, DATASET_CLASSES)
}
@staticmethod
Test output Included
============================= test session starts ============================== collected 11 items tests/test_insert.py ........... [100%] ==================================== PASSES ==================================== - generated xml file: /tmp/rebench-grade-5486c716c412462fb50ece2835804c77.xml -- =========================== short test summary info ============================ PASSED tests/test_insert.py::test_insert_into PASSED tests/test_insert.py::test_insert_into_with_keyword_table PASSED tests/test_insert.py::test_insert_into_with_columns PASSED tests/test_insert.py::test_insert_into_with_columns_and_select PASSED tests/test_insert.py::test_insert_into_with_columns_and_select_union PASSED tests/test_insert.py::test_insert_into_partitions PASSED tests/test_insert.py::test_insert_overwrite PASSED tests/test_insert.py::test_insert_overwrite_with_keyword_table PASSED tests/test_insert.py::test_insert_overwrite_values PASSED tests/test_insert.py::test_insert_overwrite_from_self PASSED tests/test_insert.py::test_insert_overwrite_from_self_with_join ============================== 11 passed in 0.51s ==============================
Test errors Included
Test report (JUnit) Included
<?xml version="1.0" encoding="utf-8"?><testsuites name="pytest tests"><testsuite name="pytest" errors="0" failures="0" skipped="0" tests="11" time="0.506" timestamp="2026-11-14T04:04:25.268614+00:00" hostname="015d968b7c95"><testcase classname="tests.test_insert" name="test_insert_into" time="0.005" /><testcase classname="tests.test_insert" name="test_insert_into_with_keyword_table" time="0.001" /><testcase classname="tests.test_insert" name="test_insert_into_with_columns" time="0.002" /><testcase classname="tests.test_insert" name="test_insert_into_with_columns_and_select" time="0.002" /><testcase classname="tests.test_insert" name="test_insert_into_with_columns_and_select_union" time="0.002" /><testcase classname="tests.test_insert" name="test_insert_into_partitions" time="0.001" /><testcase classname="tests.test_insert" name="test_insert_overwrite" time="0.001" /><testcase classname="tests.test_insert" name="test_insert_overwrite_with_keyword_table" time="0.001" /><testcase classname="tests.test_insert" name="test_insert_overwrite_values" time="0.001" /><testcase classname="tests.test_insert" name="test_insert_overwrite_from_self" time="0.001" /><testcase classname="tests.test_insert" name="test_insert_overwrite_from_self_with_join" time="0.002" /></testsuite></testsuites>
Agent log Included
[ 0.0s] 📋 System Prompt: You are a principal Python software engineer resolving a repository issue in `/workspace`.
[ 0.0s] 🎯 Task Prompt: You are evaluating a software engineering task for repository reata/sqllineage.
[ 20.4s] 💭 (706 chars) "The user is reporting an issue where table and column lineage are mixed up for
self-dependent SQL.
Example SQL:
```sql
I..."
[ 20.4s] 🔧 run_command (8 lines) python3 - <<'PY'
[ 21.1s] → Source tables: [Table: <default>.foo, Column: <default>.foo.col]
[ 28.5s] 💭 (286 chars) "The reproduction confirms the bug. `Column: <default>.foo.col` is present in both
`source_tables` and `target_tables`.
T..."
[ 28.5s] 📖 read_file (sqllineage/core/analyzer.py)
[ 28.6s] ✓ {'status': 'ok', 'filepath': 'sqllineage/core/analyzer.py', 'content': 'from functools import
reduce\nfrom operator impo…
[ 36.4s] 💭 (237 chars) "`LineageAnalyzer._extract_from_dml` uses `CurrentTokenBaseHandler` and
`NextTokenBaseHandler` subclasses. I need to see ..."
[ 36.4s] 🔧 run_command ls sqllineage/core/handlers/
[ 36.4s] → __init__.py
[ 50.8s] 💭 (632 chars) "Looking at the problem, it's about `INSERT OVERWRITE TABLE foo SELECT col FROM foo`. This
involves both a target table (..."
[ 50.8s] 📖 read_file (sqllineage/core/handlers/target.py)
[ 50.8s] ✓ {'status': 'ok', 'filepath': 'sqllineage/core/handlers/target.py', 'content': 'from sqlparse.sql import
Comparison, Func…
[ 55.3s] 💭 (41 chars) "And `sqllineage/core/handlers/source.py`:"
[ 55.3s] 📖 read_file (sqllineage/core/handlers/source.py)
[ 55.3s] ✓ {'status': 'ok', 'filepath': 'sqllineage/core/handlers/source.py', 'content': 'import re\nfrom typing
import Dict, List,…
[ 72.0s] 💭 (1285 chars) "Let's look at `end_of_query_cleanup` in `SourceHandler`.
```python
def end_of_query_cleanup(self, holder: SubQueryL..."
[ 72.0s] 📖 read_file (sqllineage/core/holders.py)
[ 72.1s] ✓ {'status': 'ok', 'filepath': 'sqllineage/core/holders.py', 'content': 'import itertools\nfrom typing
import Set, Tuple, …
[ 85.5s] 💭 (741 chars) "In `SubQueryLineageHolder.add_column_lineage`:
```python
def add_column_lineage(self, src: Column, tgt: Column) -> ..."
[ 85.5s] 📖 read_file (sqllineage/runner.py)
[ 85.6s] ✓ {'status': 'ok', 'filepath': 'sqllineage/runner.py', 'content': 'import logging\nfrom typing import
Dict, List, Tuple\n\…
[ 94.3s] 💭 (154 chars) "`LineageRunner.source_tables` calls `self._sql_holder.source_tables`.
Let's see how `self._sql_holder` is created. I nee..."
[ 94.3s] 📖 read_file (sqllineage/runner.py)
[ 94.3s] ✓ {'status': 'ok', 'filepath': 'sqllineage/runner.py', 'content': '
self._sql_holder.get_column_lineage(exclude…
[ 100.0s] 💭 (91 chars) "`SQLLineageHolder.of` is called. Let's find its definition in `sqllineage/core/holders.py`."
[ 100.0s] 📖 read_file (sqllineage/core/holders.py)
[ 100.1s] ✓ {'status': 'ok', 'filepath': 'sqllineage/core/holders.py', 'content': ' """\n The combined
lineage result …
[ 195.4s] 💭 (5942 chars) "I see something interesting in `SQLLineageHolder.of`:
```python
for holder in args:
g = nx.compose(..."
[ 195.4s] 📖 read_file (sqllineage/core/models.py)
[ 195.4s] ✓ {'status': 'ok', 'filepath': 'sqllineage/core/models.py', 'content': 'import warnings\nfrom typing
import Dict, List, Op…
[ 197.8s] 💭 (23 chars) "And the `Column` class."
[ 197.8s] 📖 read_file (sqllineage/core/models.py)
[ 197.8s] ✓ {'status': 'ok', 'filepath': 'sqllineage/core/models.py', 'content': '\n def __eq__(self, other):\n
return typ…
[ 292.8s] 💭 (2399 chars) "Okay, let's go back to `SQLLineageHolder.source_tables` and `target_tables`.
```python
@property
def source_tab..."
[ 292.8s] 📖 read_file (sqllineage/core/holders.py)
[ 292.9s] ✓ {'status': 'ok', 'filepath': 'sqllineage/core/holders.py', 'content': 'import itertools\nfrom typing
import Set, Tuple, …
[ 376.6s] 💭 (4763 chars) "Wait, I missed something in `SubQueryLineageHolder.add_column_lineage`:
```python
def add_column_lineage(self, src:..."
[ 376.6s] ✏️ edit_file (sqllineage/core/holders.py)
[ 376.8s] ✓ {'status': 'ok', 'filepath': 'sqllineage/core/holders.py', 'occurrences': 1, 'strategy': 'exact',
'diff': '--- a/sqlline…
[ 391.5s] 💭 (56 chars) "Now let's run the reproduction script to verify the fix."
[ 391.5s] 🔧 run_command (11 lines) python3 - <<'PY'
[ 391.7s] → Source tables: [Table: <default>.foo]
Native result row
{
"agent_error": "Agent exceeded session timeout (7.5 min)",
"duration_seconds": 464.79,
"error": "Agent exceeded session timeout (7.5 min)",
"grade": {
"collected_tests": 11,
"competition_junit_ok": true,
"error": null,
"required_issues_count": 0,
"resolved": true,
"status_counts": {
"PASSED": 11
},
"strict_clean_patch": true,
"test_exit_code": 0
},
"instance_id": "reata__sqllineage-224",
"pass_idx": 0,
"patch_chars": 473,
"phase1_seconds": 463.23,
"repo": "reata/sqllineage",
"request_log_path": "/kaggle-root/working/r31/rollouts_X/requests/reata__sqllineage-224__p0__r4.jsonl",
"resolved": true,
"rollout_idx": 4,
"run_key": "reata__sqllineage-224__p0__r4",
"strict_clean_patch": true,
"tool_calls": 14,
"total_llm_calls": 14,
"trace_path": "/kaggle-root/working/r31/rollouts_X/traces/trace_reata__sqllineage-224__p0__r4.json"
}