html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,issue,performed_via_github_app https://github.com/simonw/datasette/issues/1293#issuecomment-1235752140,https://api.github.com/repos/simonw/datasette/issues/1293,1235752140,IC_kwDOBm6k_c5JqBTM,9599,2022-09-02T17:34:09Z,2022-09-02T17:34:09Z,OWNER,Accidentally closed.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",849978964, https://github.com/simonw/datasette/issues/1293#issuecomment-901475812,https://api.github.com/repos/simonw/datasette/issues/1293,901475812,IC_kwDOBm6k_c41u23k,9599,2021-08-18T22:41:19Z,2021-08-18T22:41:19Z,OWNER,"> Maybe I split this out into a separate Python library that gets tested against _every_ SQLite release I can possibly try it against, and then bakes out the supported release versions into the library code itself? I'm going to do this, and call the Python library `sqlite-explain`.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",849978964, https://github.com/simonw/datasette/issues/1293#issuecomment-899915829,https://api.github.com/repos/simonw/datasette/issues/1293,899915829,IC_kwDOBm6k_c41o6A1,9599,2021-08-17T01:02:35Z,2021-08-17T01:02:35Z,OWNER,"New approach: this time I'm building a simplified executor for the bytecode operations themselves. ```python def execute_operations(operations, max_iterations = 100, trace=None): trace = trace or (lambda *args: None) registers: Dict[int, Any] = {} cursors: Dict[int, Tuple[str, Dict]] = {} instruction_pointer = 0 iterations = 0 result_row = None while True: iterations += 1 if iterations > max_iterations: break operation = operations[instruction_pointer] trace(instruction_pointer, dict(operation)) opcode = operation[""opcode""] if opcode == ""Init"": if operation[""p2""] != 0: instruction_pointer = operation[""p2""] continue else: instruction_pointer += 1 continue elif opcode == ""Goto"": instruction_pointer = operation[""p2""] continue elif opcode == ""Halt"": break elif opcode == ""OpenRead"": cursors[operation[""p1""]] = (""database_table"", { ""rootpage"": operation[""p2""], ""connection"": operation[""p3""], }) elif opcode == ""OpenEphemeral"": cursors[operation[""p1""]] = (""ephemeral"", { ""num_columns"": operation[""p2""], ""index_keys"": [], }) elif opcode == ""MakeRecord"": registers[operation[""p3""]] = (""MakeRecord"", { ""registers"": list(range(operation[""p1""] + operation[""p2""])) }) elif opcode == ""IdxInsert"": record = registers[operation[""p2""]] cursors[operation[""p1""]][1][""index_keys""].append(record) elif opcode == ""Rowid"": registers[operation[""p2""]] = (""rowid"", { ""table"": operation[""p1""] }) elif opcode == ""Sequence"": registers[operation[""p2""]] = (""sequence"", { ""next_from_cursor"": operation[""p1""] }) elif opcode == ""Column"": registers[operation[""p3""]] = (""column"", { ""cursor"": operation[""p1""], ""column_offset"": operation[""p2""] }) elif opcode == ""ResultRow"": p1 = operation[""p1""] p2 = operation[""p2""] trace(""ResultRow: "", list(range(p1, p1 + p2)), registers) result_row = [registers.get(i) for i in range(p1, p1 + p2)] elif opcode == ""Integer"": registers[operation[""p2""]] = (""Integer"", operation[""p1""]) elif opcode == ""String8"": registers[operation[""p2""]] = (""String"", operation[""p4""]) instruction_pointer += 1 return {""registers"": registers, ""cursors"": cursors, ""result_row"": result_row} ``` Results are promising! ``` execute_operations(db.execute(""explain select 'hello', 55, rowid, * from searchable"").fetchall()) {'registers': {1: ('String', 'hello'), 2: ('Integer', 55), 3: ('rowid', {'table': 0}), 4: ('rowid', {'table': 0}), 5: ('column', {'cursor': 0, 'column_offset': 1}), 6: ('column', {'cursor': 0, 'column_offset': 2}), 7: ('column', {'cursor': 0, 'column_offset': 3})}, 'cursors': {0: ('database_table', {'rootpage': 32, 'connection': 0})}, 'result_row': [('String', 'hello'), ('Integer', 55), ('rowid', {'table': 0}), ('rowid', {'table': 0}), ('column', {'cursor': 0, 'column_offset': 1}), ('column', {'cursor': 0, 'column_offset': 2}), ('column', {'cursor': 0, 'column_offset': 3})]} ``` Here's what happens with a union across three tables: ``` execute_operations(db.execute(f"""""" explain select data as content from binary_data union select pk as content from complex_foreign_keys union select name as content from facet_cities """"""}).fetchall()) {'registers': {1: ('column', {'cursor': 4, 'column_offset': 0}), 2: ('MakeRecord', {'registers': [0, 1, 2, 3]}), 3: ('column', {'cursor': 0, 'column_offset': 1}), 4: ('column', {'cursor': 3, 'column_offset': 0})}, 'cursors': {3: ('ephemeral', {'num_columns': 1, 'index_keys': [('MakeRecord', {'registers': [0, 1]}), ('MakeRecord', {'registers': [0, 1]}), ('MakeRecord', {'registers': [0, 1, 2, 3]})]}), 2: ('database_table', {'rootpage': 44, 'connection': 0}), 4: ('database_table', {'rootpage': 24, 'connection': 0}), 0: ('database_table', {'rootpage': 42, 'connection': 0})}, 'result_row': [('column', {'cursor': 3, 'column_offset': 0})]} ``` Note how the result_row refers to cursor 3, which is an ephemeral table which had three different sets of `MakeRecord` index keys assigned to it - indicating that the output column is NOT from the same underlying table source.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",849978964, https://github.com/simonw/datasette/issues/1293#issuecomment-898961535,https://api.github.com/repos/simonw/datasette/issues/1293,898961535,IC_kwDOBm6k_c41lRB_,9599,2021-08-14T21:37:24Z,2021-08-14T21:37:24Z,OWNER,Did some more research into building SQLite custom versions via `pysqlite3` - here's what I figured out for macOS (which should hopefully work for Linux too): https://til.simonwillison.net/sqlite/build-specific-sqlite-pysqlite-macos,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",849978964, https://github.com/simonw/datasette/issues/1293#issuecomment-898936068,https://api.github.com/repos/simonw/datasette/issues/1293,898936068,IC_kwDOBm6k_c41lK0E,9599,2021-08-14T17:44:54Z,2021-08-14T17:44:54Z,OWNER,"Another interesting query to consider: https://latest.datasette.io/fixtures?sql=explain+select+*+from++pragma_table_info%28+%27123_starts_with_digits%27%29 That one shows `VColumn` instead of `Column`.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",849978964, https://github.com/simonw/datasette/issues/1293#issuecomment-898933865,https://api.github.com/repos/simonw/datasette/issues/1293,898933865,IC_kwDOBm6k_c41lKRp,9599,2021-08-14T17:27:16Z,2021-08-14T17:28:29Z,OWNER,"Maybe I split this out into a separate Python library that gets tested against *every* SQLite release I can possibly try it against, and then bakes out the supported release versions into the library code itself? Datasette could depend on that library. The library could be released independently of Datasette any time a new SQLite version comes out. I could even run a separate git scraper repo that checks for new SQLite releases and submits PRs against the library when a new release comes out.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",849978964, https://github.com/simonw/datasette/issues/1293#issuecomment-898913629,https://api.github.com/repos/simonw/datasette/issues/1293,898913629,IC_kwDOBm6k_c41lFVd,9599,2021-08-14T16:14:12Z,2021-08-14T16:14:12Z,OWNER,I would feel a lot more comfortable about all of this if I had a robust mechanism for running the Datasette test suite against multiple versions of SQLite itself.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",849978964, https://github.com/simonw/datasette/issues/1293#issuecomment-898913554,https://api.github.com/repos/simonw/datasette/issues/1293,898913554,IC_kwDOBm6k_c41lFUS,9599,2021-08-14T16:13:40Z,2021-08-14T16:13:40Z,OWNER,"I think I need to care about the following: - `ResultRow` and `Column` for the final result - `OpenRead` for opening tables - `OpenEphemeral` then `MakeRecord` and `IdxInsert` for writing records into ephemeral tables `Column` may reference either a table (from `OpenRead`) or an ephemeral table (from `OpenEphemeral`). That *might* be enough.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",849978964, https://github.com/simonw/datasette/issues/1293#issuecomment-898788262,https://api.github.com/repos/simonw/datasette/issues/1293,898788262,IC_kwDOBm6k_c41kmum,9599,2021-08-14T01:22:26Z,2021-08-14T01:51:08Z,OWNER,"Tried a more complicated query: ```sql explain select pk, text1, text2, [name with . and spaces] from searchable where rowid in (select rowid from searchable_fts where searchable_fts match escape_fts(:search)) order by text1 desc limit 101 ``` Here's the explain: ``` sqlite> explain select pk, text1, text2, [name with . and spaces] from searchable where rowid in (select rowid from searchable_fts where searchable_fts match escape_fts(:search)) order by text1 desc limit 101 ...> ; addr opcode p1 p2 p3 p4 p5 comment ---- ------------- ---- ---- ---- ------------- -- ------------- 0 Init 0 41 0 00 Start at 41 1 OpenEphemeral 2 6 0 k(1,-B) 00 nColumn=6 2 Integer 101 1 0 00 r[1]=101; LIMIT counter 3 OpenRead 0 32 0 4 00 root=32 iDb=0; searchable 4 Integer 16 3 0 00 r[3]=16; return address 5 Once 0 16 0 00 6 OpenEphemeral 3 1 0 k(1,) 00 nColumn=1; Result of SELECT 1 7 VOpen 1 0 0 vtab:7FCBCA72BE80 00 8 Function0 1 7 6 unknown(-1) 01 r[6]=func(r[7]) 9 Integer 5 4 0 00 r[4]=5 10 Integer 1 5 0 00 r[5]=1 11 VFilter 1 16 4 00 iplan=r[4] zplan='' 12 Rowid 1 8 0 00 r[8]=rowid 13 MakeRecord 8 1 9 C 00 r[9]=mkrec(r[8]) 14 IdxInsert 3 9 8 1 00 key=r[9] 15 VNext 1 12 0 00 16 Return 3 0 0 00 17 Rewind 3 33 0 00 18 Column 3 0 2 00 r[2]= 19 IsNull 2 32 0 00 if r[2]==NULL goto 32 20 SeekRowid 0 32 2 00 intkey=r[2] 21 Column 0 1 10 00 r[10]=searchable.text1 22 Sequence 2 11 0 00 r[11]=cursor[2].ctr++ 23 IfNotZero 1 27 0 00 if r[1]!=0 then r[1]--, goto 27 24 Last 2 0 0 00 25 IdxLE 2 32 10 1 00 key=r[10] 26 Delete 2 0 0 00 27 Rowid 0 12 0 00 r[12]=rowid 28 Column 0 2 13 00 r[13]=searchable.text2 29 Column 0 3 14 00 r[14]=searchable.name with . and spaces 30 MakeRecord 10 5 16 00 r[16]=mkrec(r[10..14]) 31 IdxInsert 2 16 10 5 00 key=r[16] 32 Next 3 18 0 00 33 Sort 2 40 0 00 34 Column 2 4 15 00 r[15]=[name with . and spaces] 35 Column 2 3 14 00 r[14]=text2 36 Column 2 0 13 00 r[13]=text1 37 Column 2 2 12 00 r[12]=pk 38 ResultRow 12 4 0 00 output=r[12..15] 39 Next 2 34 0 00 40 Halt 0 0 0 00 41 Transaction 0 0 35 0 01 usesStmtJournal=0 42 Variable 1 7 0 :search 00 r[7]=parameter(1,:search) 43 Goto 0 1 0 00 ``` Here the `ResultRow` is for registers `12..15` - but those all refer to `Column` records in `2` - where `2` is the first `OpenEphemeral` declared right at the start. I'm having enormous trouble figuring out how that ephemeral table gets populated by the other operations in a way that would let me derive which columns end up in the `ResultRow`. Frustratingly SQLite seems to be able to figure that out just fine, see the column of comments on the right hand side - but I only get those in the `sqlite3` CLI shell, they're not available to me with SQLite when called as a library from Python. Maybe the key to that is this section: ``` 27 Rowid 0 12 0 00 r[12]=rowid 28 Column 0 2 13 00 r[13]=searchable.text2 29 Column 0 3 14 00 r[14]=searchable.name with . and spaces 30 MakeRecord 10 5 16 00 r[16]=mkrec(r[10..14]) 31 IdxInsert 2 16 10 5 00 key=r[16] ``` MakeRecord: > Convert P2 registers beginning with P1 into the record format use as a data record in a database table or as a key in an index. The Column opcode can decode the record later. > > P4 may be a string that is P2 characters long. The N-th character of the string indicates the column affinity that should be used for the N-th field of the index key. > > The mapping from character to affinity is given by the SQLITE_AFF_ macros defined in sqliteInt.h. > > If P4 is NULL then all index fields have the affinity BLOB. > > The meaning of P5 depends on whether or not the SQLITE_ENABLE_NULL_TRIM compile-time option is enabled: > > * If SQLITE_ENABLE_NULL_TRIM is enabled, then the P5 is the index of the right-most table that can be null-trimmed. > > * If SQLITE_ENABLE_NULL_TRIM is omitted, then P5 has the value OPFLAG_NOCHNG_MAGIC if the MakeRecord opcode is allowed to accept no-change records with serial_type 10. This value is only used inside an assert() and does not affect the end result. IdxInsert: > Register P2 holds an SQL index key made using the MakeRecord instructions. This opcode writes that key into the index P1. Data for the entry is nil. > > If P4 is not zero, then it is the number of values in the unpacked key of reg(P2). In that case, P3 is the index of the first register for the unpacked key. The availability of the unpacked key can sometimes be an optimization. > > If P5 has the OPFLAG_APPEND bit set, that is a hint to the b-tree layer that this insert is likely to be an append. > > If P5 has the OPFLAG_NCHANGE bit set, then the change counter is incremented by this instruction. If the OPFLAG_NCHANGE bit is clear, then the change counter is unchanged. > > If the OPFLAG_USESEEKRESULT flag of P5 is set, the implementation might run faster by avoiding an unnecessary seek on cursor P1. However, the OPFLAG_USESEEKRESULT flag must only be set if there have been no prior seeks on the cursor or if the most recent seek used a key equivalent to P2. > > This instruction only works for indices. The equivalent instruction for tables is Insert. IdxLE: > The P4 register values beginning with P3 form an unpacked index key that omits the PRIMARY KEY or ROWID. Compare this key value against the index that P1 is currently pointing to, ignoring the PRIMARY KEY or ROWID on the P1 index. > > If the P1 index entry is less than or equal to the key value then jump to P2. Otherwise fall through to the next instruction.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",849978964, https://github.com/simonw/datasette/issues/1293#issuecomment-898760808,https://api.github.com/repos/simonw/datasette/issues/1293,898760808,IC_kwDOBm6k_c41kgBo,9599,2021-08-13T23:03:01Z,2021-08-13T23:03:01Z,OWNER,Another idea: strip out any `order by` clause to try and keep this simpler. I doubt that's going to cope with complex nested queries though.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",849978964, https://github.com/simonw/datasette/issues/1293#issuecomment-898760020,https://api.github.com/repos/simonw/datasette/issues/1293,898760020,IC_kwDOBm6k_c41kf1U,9599,2021-08-13T23:00:28Z,2021-08-13T23:01:27Z,OWNER,"New theory: this is all about `SorterOpen` and `SorterInsert`. Consider the following with extra annotations at the end of the lines after the `--`: ``` addr opcode p1 p2 p3 p4 p5 comment ---- ------------- ---- ---- ---- ------------- -- ------------- 0 Init 0 25 0 00 Start at 25 1 SorterOpen 2 5 0 k(1,B) 00 -- New SORTER in r2 with 5 slots 2 OpenRead 0 43 0 7 00 root=43 iDb=0; facetable 3 OpenRead 1 42 0 2 00 root=42 iDb=0; facet_cities 4 Rewind 0 16 0 00 5 Column 0 6 3 00 r[3]=facetable.neighborhood 6 Function0 1 2 1 like(2) 02 r[1]=func(r[2..3]) 7 IfNot 1 15 1 00 8 Column 0 5 4 00 r[4]=facetable.city_id 9 SeekRowid 1 15 4 00 intkey=r[4] 10 Column 1 1 6 00 r[6]=facet_cities.name 11 Column 0 4 7 00 r[7]=facetable.state 12 Column 0 6 5 00 r[5]=facetable.neighborhood 13 MakeRecord 5 3 9 00 r[9]=mkrec(r[5..7]) 14 SorterInsert 2 9 5 3 00 key=r[9]-- WRITES record from r9 (line above) into sorter in r2 15 Next 0 5 0 01 16 OpenPseudo 3 10 5 00 5 columns in r[10] 17 SorterSort 2 24 0 00 -- runs the sort, not relevant to my goal 18 SorterData 2 10 3 00 r[10]=data -- ""Write into register P2 (r10) the current sorter data for sorter cursor P1 (sorter 2)"" 19 Column 3 2 8 00 r[8]=state 20 Column 3 1 7 00 r[7]=facet_cities.name 21 Column 3 0 6 00 r[6]=neighborhood 22 ResultRow 6 3 0 00 output=r[6..8] 23 SorterNext 2 18 0 00 24 Halt 0 0 0 00 25 Transaction 0 0 35 0 01 usesStmtJournal=0 26 String8 0 2 0 %bob% 00 r[2]='%bob%' 27 Goto 0 1 0 00 ```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",849978964, https://github.com/simonw/datasette/issues/1293#issuecomment-898576097,https://api.github.com/repos/simonw/datasette/issues/1293,898576097,IC_kwDOBm6k_c41jy7h,9599,2021-08-13T16:19:57Z,2021-08-13T16:19:57Z,OWNER,"I think I need to look out for `OpenPseudo` and, when that occurs, take a look at the most recent `SorterInsert` and use that to find the `MakeRecord` and then use the `MakeRecord` to figure out the columns that went into it. After all of that I'll be able to resolve that ""table 3"" reference.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",849978964, https://github.com/simonw/datasette/issues/1293#issuecomment-898572065,https://api.github.com/repos/simonw/datasette/issues/1293,898572065,IC_kwDOBm6k_c41jx8h,9599,2021-08-13T16:13:16Z,2021-08-13T16:13:16Z,OWNER,"Aha! That `MakeRecord` line says `r[5..7]` - and r5 = neighborhood, r6 = facet_cities.name, r7 = facetable.state So if the `MakeRecord` defines what goes into that pseudo-table column 2 of that pseudo-table would be `state` - which is what we want. This is really convoluted. I'm no longer confident I can get this to work in a sensible way, especially since I've not started exploring what complex nested tables with CTEs and sub-selects do yet.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",849978964, https://github.com/simonw/datasette/issues/1293#issuecomment-898569319,https://api.github.com/repos/simonw/datasette/issues/1293,898569319,IC_kwDOBm6k_c41jxRn,9599,2021-08-13T16:09:01Z,2021-08-13T16:10:48Z,OWNER,"Need to figure out what column 2 of that pseudo-table is. I think the answer is here: ``` 4 Rewind 0 16 0 00 5 Column 0 6 3 00 r[3]=facetable.neighborhood 6 Function0 1 2 1 like(2) 02 r[1]=func(r[2..3]) 7 IfNot 1 15 1 00 8 Column 0 5 4 00 r[4]=facetable.city_id 9 SeekRowid 1 15 4 00 intkey=r[4] 10 Column 1 1 6 00 r[6]=facet_cities.name 11 Column 0 4 7 00 r[7]=facetable.state 12 Column 0 6 5 00 r[5]=facetable.neighborhood 13 MakeRecord 5 3 9 00 r[9]=mkrec(r[5..7]) 14 SorterInsert 2 9 5 3 00 key=r[9] 15 Next 0 5 0 01 16 OpenPseudo 3 10 5 00 5 columns in r[10] ``` I think the `OpenPseduo` line puts five columns in `r[10]` - and those five columns are the five from the previous block - maybe the five leading up to the `MakeRecord` call on line 13. In which case column 2 would be `facet_cities.name` - assuming we start counting from 0. But the debug code said ""r[8]=state"".","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",849978964, https://github.com/simonw/datasette/issues/1293#issuecomment-898567974,https://api.github.com/repos/simonw/datasette/issues/1293,898567974,IC_kwDOBm6k_c41jw8m,9599,2021-08-13T16:07:00Z,2021-08-13T16:07:00Z,OWNER,"So this line: ``` 19 Column 3 2 8 00 r[8]=state ``` Means ""Take column 2 of table 3 (the pseudo-table) and store it in register 8""","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",849978964, https://github.com/simonw/datasette/issues/1293#issuecomment-898564705,https://api.github.com/repos/simonw/datasette/issues/1293,898564705,IC_kwDOBm6k_c41jwJh,9599,2021-08-13T16:02:12Z,2021-08-13T16:04:06Z,OWNER,"More debug output: ``` table_rootpage_by_register={0: 43, 1: 42} names_and_types_by_rootpage={42: ('facet_cities', 'table'), 43: ('facetable', 'table')} table_id=0 cid=6 column_register=3 table_id=0 cid=5 column_register=4 table_id=1 cid=1 column_register=6 table_id=0 cid=4 column_register=7 table_id=0 cid=6 column_register=5 table_id=3 cid=2 column_register=8 table_id=3 cid=2 column_register=8 KeyError 3 table = names_and_types_by_rootpage[table_rootpage_by_register[table_id]][0] names_and_types_by_rootpage={42: ('facet_cities', 'table'), 43: ('facetable', 'table')} table_rootpage_by_register={0: 43, 1: 42} table_id=3 columns_by_column_register[column_register] = (table, cid) column_register=8 = (table='facetable', cid=2) table_id=3 cid=1 column_register=7 KeyError 3 table = names_and_types_by_rootpage[table_rootpage_by_register[table_id]][0] names_and_types_by_rootpage={42: ('facet_cities', 'table'), 43: ('facetable', 'table')} table_rootpage_by_register={0: 43, 1: 42} table_id=3 columns_by_column_register[column_register] = (table, cid) column_register=7 = (table='facetable', cid=1) table_id=3 cid=0 column_register=6 KeyError 3 table = names_and_types_by_rootpage[table_rootpage_by_register[table_id]][0] names_and_types_by_rootpage={42: ('facet_cities', 'table'), 43: ('facetable', 'table')} table_rootpage_by_register={0: 43, 1: 42} table_id=3 columns_by_column_register[column_register] = (table, cid) column_register=6 = (table='facetable', cid=0) result_registers=[6, 7, 8] columns_by_column_register={3: ('facetable', 6), 4: ('facetable', 5), 6: ('facet_cities', 1), 7: ('facetable', 4), 5: ('facetable', 6)} all_column_names={('facet_cities', 0): 'id', ('facet_cities', 1): 'name', ('facetable', 0): 'pk', ('facetable', 1): 'created', ('facetable', 2): 'planet_int', ('facetable', 3): 'on_earth', ('facetable', 4): 'state', ('facetable', 5): 'city_id', ('facetable', 6): 'neighborhood', ('facetable', 7): 'tags', ('facetable', 8): 'complex_array', ('facetable', 9): 'distinct_some_null'} ``` Those `KeyError` are happening here because of a lookup in `table_rootpage_by_register` for `table_id=3` - but `table_rootpage_by_register` only has keys 0 and 1. It looks like that `3` actually corresponds to the `OpenPseudo` table from here: ``` 16 OpenPseudo 3 10 5 00 5 columns in r[10] 17 SorterSort 2 24 0 00 18 SorterData 2 10 3 00 r[10]=data 19 Column 3 2 8 00 r[8]=state 20 Column 3 1 7 00 r[7]=facet_cities.name 21 Column 3 0 6 00 r[6]=neighborhood 22 ResultRow 6 3 0 00 output=r[6..8] ``` Python code: ```python def columns_for_query(conn, sql, params=None): """""" Given a SQLite connection ``conn`` and a SQL query ``sql``, returns a list of ``(table_name, column_name)`` pairs corresponding to the columns that would be returned by that SQL query. Each pair indicates the source table and column for the returned column, or ``(None, None)`` if no table and column could be derived (e.g. for ""select 1"") """""" if sql.lower().strip().startswith(""explain""): return [] opcodes = conn.execute(""explain "" + sql, params).fetchall() table_rootpage_by_register = { r[""p1""]: r[""p2""] for r in opcodes if r[""opcode""] == ""OpenRead"" } print(f""{table_rootpage_by_register=}"") names_and_types_by_rootpage = dict( [(r[0], (r[1], r[2])) for r in conn.execute( ""select rootpage, name, type from sqlite_master where rootpage in ({})"".format( "", "".join(map(str, table_rootpage_by_register.values())) ) )] ) print(f""{names_and_types_by_rootpage=}"") columns_by_column_register = {} for opcode_row in opcodes: if opcode_row[""opcode""] in (""Rowid"", ""Column""): addr, opcode, table_id, cid, column_register, p4, p5, comment = opcode_row print(f""{table_id=} {cid=} {column_register=}"") try: table = names_and_types_by_rootpage[table_rootpage_by_register[table_id]][0] columns_by_column_register[column_register] = (table, cid) except KeyError as e: print("" KeyError"") print("" "", e) print("" table = names_and_types_by_rootpage[table_rootpage_by_register[table_id]][0]"") print(f"" {names_and_types_by_rootpage=} {table_rootpage_by_register=} {table_id=}"") print("" columns_by_column_register[column_register] = (table, cid)"") print(f"" {column_register=} = ({table=}, {cid=})"") pass result_row = [dict(r) for r in opcodes if r[""opcode""] == ""ResultRow""][0] result_registers = list(range(result_row[""p1""], result_row[""p1""] + result_row[""p2""])) print(f""{result_registers=}"") print(f""{columns_by_column_register=}"") all_column_names = {} for (table, _) in names_and_types_by_rootpage.values(): table_xinfo = conn.execute(""pragma table_xinfo({})"".format(table)).fetchall() for column_info in table_xinfo: all_column_names[(table, column_info[""cid""])] = column_info[""name""] print(f""{all_column_names=}"") final_output = [] for register in result_registers: try: table, cid = columns_by_column_register[register] final_output.append((table, all_column_names[table, cid])) except KeyError: final_output.append((None, None)) return final_output ```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",849978964, https://github.com/simonw/datasette/issues/1293#issuecomment-898554859,https://api.github.com/repos/simonw/datasette/issues/1293,898554859,IC_kwDOBm6k_c41jtvr,9599,2021-08-13T15:46:18Z,2021-08-13T15:46:18Z,OWNER,So it looks like the bug is in the code that populates `columns_by_column_register`.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",849978964, https://github.com/simonw/datasette/issues/1293#issuecomment-898554427,https://api.github.com/repos/simonw/datasette/issues/1293,898554427,IC_kwDOBm6k_c41jto7,9599,2021-08-13T15:45:32Z,2021-08-13T15:45:32Z,OWNER,"Some useful debug output: ``` table_rootpage_by_register={0: 43, 1: 42} names_and_types_by_rootpage={42: ('facet_cities', 'table'), 43: ('facetable', 'table')} result_registers=[6, 7, 8] columns_by_column_register={3: ('facetable', 6), 4: ('facetable', 5), 6: ('facet_cities', 1), 7: ('facetable', 4), 5: ('facetable', 6)} all_column_names={('facet_cities', 0): 'id', ('facet_cities', 1): 'name', ('facetable', 0): 'pk', ('facetable', 1): 'created', ('facetable', 2): 'planet_int', ('facetable', 3): 'on_earth', ('facetable', 4): 'state', ('facetable', 5): 'city_id', ('facetable', 6): 'neighborhood', ('facetable', 7): 'tags', ('facetable', 8): 'complex_array', ('facetable', 9): 'distinct_some_null'} ``` The `result_registers` should each correspond to the correct entry in `columns_by_column_register` but they do not. Python code: ```python def columns_for_query(conn, sql, params=None): """""" Given a SQLite connection ``conn`` and a SQL query ``sql``, returns a list of ``(table_name, column_name)`` pairs corresponding to the columns that would be returned by that SQL query. Each pair indicates the source table and column for the returned column, or ``(None, None)`` if no table and column could be derived (e.g. for ""select 1"") """""" if sql.lower().strip().startswith(""explain""): return [] opcodes = conn.execute(""explain "" + sql, params).fetchall() table_rootpage_by_register = { r[""p1""]: r[""p2""] for r in opcodes if r[""opcode""] == ""OpenRead"" } print(f""{table_rootpage_by_register=}"") names_and_types_by_rootpage = dict( [(r[0], (r[1], r[2])) for r in conn.execute( ""select rootpage, name, type from sqlite_master where rootpage in ({})"".format( "", "".join(map(str, table_rootpage_by_register.values())) ) )] ) print(f""{names_and_types_by_rootpage=}"") columns_by_column_register = {} for opcode in opcodes: if opcode[""opcode""] in (""Rowid"", ""Column""): addr, opcode, table_id, cid, column_register, p4, p5, comment = opcode try: table = names_and_types_by_rootpage[table_rootpage_by_register[table_id]][0] columns_by_column_register[column_register] = (table, cid) except KeyError: pass result_row = [dict(r) for r in opcodes if r[""opcode""] == ""ResultRow""][0] result_registers = list(range(result_row[""p1""], result_row[""p1""] + result_row[""p2""])) print(f""{result_registers=}"") print(f""{columns_by_column_register=}"") all_column_names = {} for (table, _) in names_and_types_by_rootpage.values(): table_xinfo = conn.execute(""pragma table_xinfo({})"".format(table)).fetchall() for column_info in table_xinfo: all_column_names[(table, column_info[""cid""])] = column_info[""name""] print(f""{all_column_names=}"") final_output = [] for register in result_registers: try: table, cid = columns_by_column_register[register] final_output.append((table, all_column_names[table, cid])) except KeyError: final_output.append((None, None)) return final_output ```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",849978964, https://github.com/simonw/datasette/issues/1293#issuecomment-898545815,https://api.github.com/repos/simonw/datasette/issues/1293,898545815,IC_kwDOBm6k_c41jriX,9599,2021-08-13T15:31:53Z,2021-08-13T15:31:53Z,OWNER,"My hunch here is that registers or columns are being reused in a way that makes my code break - my code is pretty dumb, there are places in it where maybe the first mention of a register wins instead of the last one?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",849978964, https://github.com/simonw/datasette/issues/1293#issuecomment-898541972,https://api.github.com/repos/simonw/datasette/issues/1293,898541972,IC_kwDOBm6k_c41jqmU,9599,2021-08-13T15:26:06Z,2021-08-13T15:29:06Z,OWNER,"ResultRow: > The registers P1 through P1+P2-1 contain a single row of results. This opcode causes the sqlite3_step() call to terminate with an SQLITE_ROW return code and it sets up the sqlite3_stmt structure to provide access to the r(P1)..r(P1+P2-1) values as the result row. Column: > Interpret the data that cursor P1 points to as a structure built using the MakeRecord instruction. (See the MakeRecord opcode for additional information about the format of the data.) Extract the P2-th column from this record. If there are less that (P2+1) values in the record, extract a NULL. > > The value extracted is stored in register P3.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",849978964, https://github.com/simonw/datasette/issues/1293#issuecomment-898541543,https://api.github.com/repos/simonw/datasette/issues/1293,898541543,IC_kwDOBm6k_c41jqfn,9599,2021-08-13T15:25:26Z,2021-08-13T15:25:26Z,OWNER,"But the debug output here seems to be saying what we want it to say: ``` 17 SorterSort 2 24 0 00 18 SorterData 2 10 3 00 r[10]=data 19 Column 3 2 8 00 r[8]=state 20 Column 3 1 7 00 r[7]=facet_cities.name 21 Column 3 0 6 00 r[6]=neighborhood 22 ResultRow 6 3 0 00 output=r[6..8] ``` We want to get back `neighborhood`, `facet_cities.name`, `state`. Why then are we seeing `[('facet_cities', 'name'), ('facetable', 'state'), (None, None)]`?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",849978964, https://github.com/simonw/datasette/issues/1293#issuecomment-898540260,https://api.github.com/repos/simonw/datasette/issues/1293,898540260,IC_kwDOBm6k_c41jqLk,9599,2021-08-13T15:23:28Z,2021-08-13T15:23:28Z,OWNER,"SorterInsert: > Register P2 holds an SQL index key made using the MakeRecord instructions. This opcode writes that key into the sorter P1. Data for the entry is nil. SorterData: > Write into register P2 the current sorter data for sorter cursor P1. Then clear the column header cache on cursor P3. > > This opcode is normally use to move a record out of the sorter and into a register that is the source for a pseudo-table cursor created using OpenPseudo. That pseudo-table cursor is the one that is identified by parameter P3. Clearing the P3 column cache as part of this opcode saves us from having to issue a separate NullRow instruction to clear that cache. OpenPseudo: > Open a new cursor that points to a fake table that contains a single row of data. The content of that one row is the content of memory register P2. In other words, cursor P1 becomes an alias for the MEM_Blob content contained in register P2. > > A pseudo-table created by this opcode is used to hold a single row output from the sorter so that the row can be decomposed into individual columns using the Column opcode. The Column opcode is the only cursor opcode that works with a pseudo-table. > > P3 is the number of fields in the records that will be stored by the pseudo-table.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",849978964, https://github.com/simonw/datasette/issues/1293#issuecomment-898536181,https://api.github.com/repos/simonw/datasette/issues/1293,898536181,IC_kwDOBm6k_c41jpL1,9599,2021-08-13T15:17:20Z,2021-08-13T15:20:33Z,OWNER,"Documentation for `MakeRecord`: https://www.sqlite.org/opcode.html#MakeRecord Running `explain` inside `sqlite3` provides extra comments and indentation which make it easier to understand: ``` sqlite> explain select neighborhood, facet_cities.name, state ...> from facetable ...> join facet_cities ...> on facetable.city_id = facet_cities.id ...> where neighborhood like '%bob%'; addr opcode p1 p2 p3 p4 p5 comment ---- ------------- ---- ---- ---- ------------- -- ------------- 0 Init 0 15 0 00 Start at 15 1 OpenRead 0 43 0 7 00 root=43 iDb=0; facetable 2 OpenRead 1 42 0 2 00 root=42 iDb=0; facet_cities 3 Rewind 0 14 0 00 4 Column 0 6 3 00 r[3]=facetable.neighborhood 5 Function0 1 2 1 like(2) 02 r[1]=func(r[2..3]) 6 IfNot 1 13 1 00 7 Column 0 5 4 00 r[4]=facetable.city_id 8 SeekRowid 1 13 4 00 intkey=r[4] 9 Column 0 6 5 00 r[5]=facetable.neighborhood 10 Column 1 1 6 00 r[6]=facet_cities.name 11 Column 0 4 7 00 r[7]=facetable.state 12 ResultRow 5 3 0 00 output=r[5..7] 13 Next 0 4 0 01 14 Halt 0 0 0 00 15 Transaction 0 0 35 0 01 usesStmtJournal=0 16 String8 0 2 0 %bob% 00 r[2]='%bob%' 17 Goto 0 1 0 00 ``` Compared with: ``` sqlite> explain select neighborhood, facet_cities.name, state ...> from facetable ...> join facet_cities ...> on facetable.city_id = facet_cities.id ...> where neighborhood like '%bob%' order by neighborhood ...> ; addr opcode p1 p2 p3 p4 p5 comment ---- ------------- ---- ---- ---- ------------- -- ------------- 0 Init 0 25 0 00 Start at 25 1 SorterOpen 2 5 0 k(1,B) 00 2 OpenRead 0 43 0 7 00 root=43 iDb=0; facetable 3 OpenRead 1 42 0 2 00 root=42 iDb=0; facet_cities 4 Rewind 0 16 0 00 5 Column 0 6 3 00 r[3]=facetable.neighborhood 6 Function0 1 2 1 like(2) 02 r[1]=func(r[2..3]) 7 IfNot 1 15 1 00 8 Column 0 5 4 00 r[4]=facetable.city_id 9 SeekRowid 1 15 4 00 intkey=r[4] 10 Column 1 1 6 00 r[6]=facet_cities.name 11 Column 0 4 7 00 r[7]=facetable.state 12 Column 0 6 5 00 r[5]=facetable.neighborhood 13 MakeRecord 5 3 9 00 r[9]=mkrec(r[5..7]) 14 SorterInsert 2 9 5 3 00 key=r[9] 15 Next 0 5 0 01 16 OpenPseudo 3 10 5 00 5 columns in r[10] 17 SorterSort 2 24 0 00 18 SorterData 2 10 3 00 r[10]=data 19 Column 3 2 8 00 r[8]=state 20 Column 3 1 7 00 r[7]=facet_cities.name 21 Column 3 0 6 00 r[6]=neighborhood 22 ResultRow 6 3 0 00 output=r[6..8] 23 SorterNext 2 18 0 00 24 Halt 0 0 0 00 25 Transaction 0 0 35 0 01 usesStmtJournal=0 26 String8 0 2 0 %bob% 00 r[2]='%bob%' 27 Goto 0 1 0 00 ``` So actually it looks like the `SorterSort` may be key to understanding this.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",849978964, https://github.com/simonw/datasette/issues/1293#issuecomment-898527525,https://api.github.com/repos/simonw/datasette/issues/1293,898527525,IC_kwDOBm6k_c41jnEl,9599,2021-08-13T15:08:03Z,2021-08-13T15:08:03Z,OWNER,Am I going to need to look at the `ResultRow` and its columns but then wind back to that earlier `MakeRecord` and its columns?,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",849978964, https://github.com/simonw/datasette/issues/1293#issuecomment-898524057,https://api.github.com/repos/simonw/datasette/issues/1293,898524057,IC_kwDOBm6k_c41jmOZ,9599,2021-08-13T15:06:37Z,2021-08-13T15:06:37Z,OWNER,"Comparing the `explain` for the two versions of that query - one with the order by and one without: ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",849978964, https://github.com/simonw/datasette/issues/1293#issuecomment-898519924,https://api.github.com/repos/simonw/datasette/issues/1293,898519924,IC_kwDOBm6k_c41jlN0,9599,2021-08-13T15:03:36Z,2021-08-13T15:03:36Z,OWNER,"Weird edge-case: adding an `order by` changes the order of the columns with respect to the information I am deriving about them. Without order by this gets it right: With order by: ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",849978964, https://github.com/simonw/datasette/issues/1293#issuecomment-898517872,https://api.github.com/repos/simonw/datasette/issues/1293,898517872,IC_kwDOBm6k_c41jktw,9599,2021-08-13T15:00:50Z,2021-08-13T15:00:50Z,OWNER,"The primary key column (or `rowid`) often resolves to an `index` record in the `sqlite_master` table, e.g. the second row in this: type | name | tbl_name | rootpage | sql -- | -- | -- | -- | -- table | simple_primary_key | simple_primary_key | 2 | CREATE TABLE simple_primary_key ( id varchar(30) primary key, content text ) index | sqlite_autoindex_simple_primary_key_1 | simple_primary_key | 3 | ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",849978964, https://github.com/simonw/datasette/issues/1293#issuecomment-898506647,https://api.github.com/repos/simonw/datasette/issues/1293,898506647,IC_kwDOBm6k_c41jh-X,9599,2021-08-13T14:43:19Z,2021-08-13T14:43:19Z,OWNER,Work will continue in PR #1434.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",849978964, https://github.com/simonw/datasette/issues/1293#issuecomment-813134386,https://api.github.com/repos/simonw/datasette/issues/1293,813134386,MDEyOklzc3VlQ29tbWVudDgxMzEzNDM4Ng==,9599,2021-04-05T01:20:28Z,2021-08-13T00:42:30Z,OWNER,"... that output might also provide a better way to extract variables than the current mechanism using a regular expression, by looking for the `Variable` opcodes. [UPDATE: it did indeed do that, see #1421]","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",849978964, https://github.com/simonw/datasette/issues/1293#issuecomment-898066466,https://api.github.com/repos/simonw/datasette/issues/1293,898066466,IC_kwDOBm6k_c41h2gi,9599,2021-08-13T00:40:24Z,2021-08-13T00:40:24Z,OWNER,"It figures out renamed columns too: ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",849978964, https://github.com/simonw/datasette/issues/1293#issuecomment-898065948,https://api.github.com/repos/simonw/datasette/issues/1293,898065948,IC_kwDOBm6k_c41h2Yc,9599,2021-08-13T00:38:58Z,2021-08-13T00:38:58Z,OWNER,"Trying to run `explain select * from facetable` fails with an error in my prototype, because it tries to execute `explain explain select * from facetable` - so I need to spot that error and ignore it.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",849978964, https://github.com/simonw/datasette/issues/1293#issuecomment-898065011,https://api.github.com/repos/simonw/datasette/issues/1293,898065011,IC_kwDOBm6k_c41h2Jz,9599,2021-08-13T00:36:30Z,2021-08-13T00:36:30Z,OWNER,"> https://latest.datasette.io/fixtures?sql=explain+select+*+from+paginated_view will be an interesting test query - because `paginated_view` is defined like this: > > ```sql > CREATE VIEW paginated_view AS > SELECT > content, > '- ' || content || ' -' AS content_extra > FROM no_primary_key; > ``` > > So this will help test that the mechanism isn't confused by output columns that are created through a concatenation expression. Here's what it does for that: ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",849978964, https://github.com/simonw/datasette/issues/1293#issuecomment-898063815,https://api.github.com/repos/simonw/datasette/issues/1293,898063815,IC_kwDOBm6k_c41h13H,9599,2021-08-13T00:33:17Z,2021-08-13T00:33:17Z,OWNER,"Improved version of that function: ```python def columns_for_query(conn, sql): """""" Given a SQLite connection ``conn`` and a SQL query ``sql``, returns a list of ``(table_name, column_name)`` pairs, one per returned column. ``(None, None)`` if no table and column could be derived. """""" rows = conn.execute('explain ' + sql).fetchall() table_rootpage_by_register = {r['p1']: r['p2'] for r in rows if r['opcode'] == 'OpenRead'} names_by_rootpage = dict( conn.execute( 'select rootpage, name from sqlite_master where rootpage in ({})'.format( ', '.join(map(str, table_rootpage_by_register.values())) ) ) ) columns_by_column_register = {} for row in rows: if row['opcode'] in ('Rowid', 'Column'): addr, opcode, table_id, cid, column_register, p4, p5, comment = row table = names_by_rootpage[table_rootpage_by_register[table_id]] columns_by_column_register[column_register] = (table, cid) result_row = [dict(r) for r in rows if r['opcode'] == 'ResultRow'][0] registers = list(range(result_row[""p1""], result_row[""p1""] + result_row[""p2""])) all_column_names = {} for table in names_by_rootpage.values(): table_xinfo = conn.execute('pragma table_xinfo({})'.format(table)).fetchall() for row in table_xinfo: all_column_names[(table, row[""cid""])] = row[""name""] final_output = [] for r in registers: try: table, cid = columns_by_column_register[r] final_output.append((table, all_column_names[table, cid])) except KeyError: final_output.append((None, None)) return final_output ``` It works! ```diff diff --git a/datasette/templates/query.html b/datasette/templates/query.html index 75f7f1b..9fe1d4f 100644 --- a/datasette/templates/query.html +++ b/datasette/templates/query.html @@ -67,6 +67,8 @@
+extra_column_info: {{ extra_column_info }} + {% if display_rows %}This data as {% for name, url in renderers.items() %}{{ name }}{{ "", "" if not loop.last }}{% endfor %}, CSV