program: r0 = syz_open_dev$vbi(&(0x7f0000000000), 0x0, 0x2) ioctl$VIDIOC_S_INPUT(r0, 0xc0045627, &(0x7f00000000c0)=0x3) syz_open_dev$vim2m(&(0x7f00000002c0), 0x2000000f5, 0x2) (async) r1 = syz_open_dev$vim2m(&(0x7f00000002c0), 0x2000000f5, 0x2) ioctl$vim2m_VIDIOC_S_CTRL(r1, 0xc008561c, &(0x7f0000000400)={0xf0f03e, 0x2}) (async) ioctl$vim2m_VIDIOC_S_CTRL(r1, 0xc008561c, &(0x7f0000000400)={0xf0f03e, 0x2}) r2 = syz_open_dev$video(&(0x7f0000000180), 0x7, 0x0) ioctl$VIDIOC_S_FREQUENCY(r2, 0x402c5639, &(0x7f0000000380)={0x0, 0x2, 0x300}) syz_open_dev$vbi(&(0x7f0000000000), 0x0, 0x2) (async) r3 = syz_open_dev$vbi(&(0x7f0000000000), 0x0, 0x2) ioctl$VIDIOC_S_INPUT(r3, 0xc0045627, &(0x7f00000000c0)=0x1) r4 = openat(0xffffffffffffff9c, &(0x7f0000000080)='./file0\x00', 0x0, 0x0) ioctl$FS_IOC_ENABLE_VERITY(r4, 0x40086610, &(0x7f0000000140)={0x1, 0x0, 0x1000, 0x0, 0x0, 0x0, 0x0, 0x0}) syz_genetlink_get_family_id$nl80211(&(0x7f0000000040), 0xffffffffffffffff) syz_mount_image$bcachefs(&(0x7f00000058c0), &(0x7f0000005900)='./file0\x00', 0x0, &(0x7f0000000800)={[{@errors_continue}], [{@smackfshat={'smackfshat', 0x3d, '*'}}, {@measure}, {@func={'func', 0x3d, 'KEXEC_KERNEL_CHECK'}}, {@euid_eq}, {@obj_user={'obj_user', 0x3d, 'euid'}}, {@appraise}, {@smackfstransmute={'smackfstransmute', 0x3d, '\xbb{\x94\x89B\xdc\xb7\x98>5\xf1\x01\xabU\xee\xf1\xb2|\xc5\xd5:1\xa1\xeb\xcf\xa3\xff\xb0Gj2\x06\x80\xcc\x87$P\xc3\x88\xdc\xe0$km\x9bfg>7\xb4m\xa5\x94\xc7\x81Su^_zS\xb8CLh\xe0\x92i?\xf0\x8e\x86\xba\xf1\x96\t\x11\r\x10\x1c\\\xb5\x9e\xa2\x1d\x11\x85a\xb5;\xa2\xbe\xdb\x01\xd7\xea\xc1\x1b\xac\xe1\xf4\xc4f\xea\x116h]\xa1\xae\xb9\xe1V\xfb\x87\x8f\x87DL\x01\x1d\xb7E2x\xfdY\xddAF\v\xa5b\xbet,u0S\xf8\'\x81HN\xedx\xd9f2\xe8\x1c\xa5\xde\x18\x00\xbclS\xd4'}}, {@audit}, {@subj_type={'subj_type', 0x3d, 'errors=continue'}}, {@obj_role={'obj_role', 0x3d, ')L,\xcf-\xef'}}, {@obj_type={'obj_type', 0x3d, '\x19--'}}, {@audit}]}, 0x1, 0x5968, &(0x7f0000010bc0)="$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") (async) syz_mount_image$bcachefs(&(0x7f00000058c0), &(0x7f0000005900)='./file0\x00', 0x0, &(0x7f0000000800)={[{@errors_continue}], [{@smackfshat={'smackfshat', 0x3d, '*'}}, {@measure}, {@func={'func', 0x3d, 'KEXEC_KERNEL_CHECK'}}, {@euid_eq}, {@obj_user={'obj_user', 0x3d, 'euid'}}, {@appraise}, {@smackfstransmute={'smackfstransmute', 0x3d, '\xbb{\x94\x89B\xdc\xb7\x98>5\xf1\x01\xabU\xee\xf1\xb2|\xc5\xd5:1\xa1\xeb\xcf\xa3\xff\xb0Gj2\x06\x80\xcc\x87$P\xc3\x88\xdc\xe0$km\x9bfg>7\xb4m\xa5\x94\xc7\x81Su^_zS\xb8CLh\xe0\x92i?\xf0\x8e\x86\xba\xf1\x96\t\x11\r\x10\x1c\\\xb5\x9e\xa2\x1d\x11\x85a\xb5;\xa2\xbe\xdb\x01\xd7\xea\xc1\x1b\xac\xe1\xf4\xc4f\xea\x116h]\xa1\xae\xb9\xe1V\xfb\x87\x8f\x87DL\x01\x1d\xb7E2x\xfdY\xddAF\v\xa5b\xbet,u0S\xf8\'\x81HN\xedx\xd9f2\xe8\x1c\xa5\xde\x18\x00\xbclS\xd4'}}, {@audit}, {@subj_type={'subj_type', 0x3d, 'errors=continue'}}, {@obj_role={'obj_role', 0x3d, ')L,\xcf-\xef'}}, {@obj_type={'obj_type', 0x3d, '\x19--'}}, {@audit}]}, 0x1, 0x5968, &(0x7f0000010bc0)="$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") [ 68.464818][ T4676] Bluetooth: hci0: command tx timeout [ 68.751791][ T5318] loop0: detected capacity change from 0 to 32768 [ 68.770095][ T5318] bcachefs (/dev/loop0): error reading default superblock: checksum error, type none: got should be [ 68.839675][ T5318] bcachefs (loop0): starting version 1.7: mi_btree_bitmap opts=errors=continue,metadata_checksum=none,data_checksum=none,compression=lz4,nojournal_transaction_names [ 68.845410][ T5318] bcachefs (loop0): recovering from clean shutdown, journal seq 10 [ 68.848488][ T5318] bcachefs (loop0): Doing compatible version upgrade from 1.7: mi_btree_bitmap to 1.13: inode_has_child_snapshots [ 68.848488][ T5318] running recovery passes: check_allocations,check_inodes [ 68.865948][ T5318] bcachefs (loop0): error validating btree node on loop0 at btree dirents level 0/0 [ 68.865976][ T5318] u64s 11 type btree_ptr_v2 SPOS_MAX len 0 ver 0: seq 9aa2895aefce4bdf written 24 min_key POS_MIN durability: 1 ptr: 0:41:0 gen 0 [ 68.865987][ T5318] node offset 0/24 bset u64s 0: invalid bkey format: field 3 too large: 18446744073709551615 + 0 > 4294967295 [ 68.865995][ T5318] u64s 3 fields 64:0, 64:0, 32:0, 143:0, 195:0, 0:0 [ 68.888844][ T5318] bcachefs (loop0): flagging btree dirents lost data [ 68.896014][ T5318] error reading btree root dirents l=0: btree_node_read_error, fixing [ 68.899461][ T5318] bcachefs (loop0): will run btree node scan [ 68.904123][ T5318] bcachefs (loop0): error validating btree node at btree alloc level 0/0 [ 68.904137][ T5318] u64s 11 type btree_ptr_v2 SPOS_MAX len 0 ver 0: seq ac62141f8dc7e261 written 24 min_key POS_MIN durability: 1 ptr: 0:26:0 gen 0 [ 68.904142][ T5318] node offset 8/24 bset u64s 375 bset byte offset 1696: keys out of order: u64s 11 type alloc_v4 256:22:0 len 0 ver 0 > u64s 11 type alloc_v4 0:23:0 len 0 ver 0, fixing [ 68.921372][ T5318] invalid bkey u64s 11 type alloc_v4 0:19:0 len 0 ver 0: [ 68.921381][ T5318] gen 0 oldest_gen 0 data_type sb [ 68.921385][ T5318] journal_seq 1 [ 68.921389][ T5318] need_discard 1 [ 68.921392][ T5318] need_inc_gen 1 [ 68.921397][ T5318] dirty_sectors 256 [ 68.921403][ T5318] stripe_sectors 0 [ 68.921408][ T5318] cached_sectors 0 [ 68.921414][ T5318] stripe 0 [ 68.921420][ T5318] stripe_redundancy 0 [ 68.921426][ T5318] io_time[READ] 1 [ 68.921432][ T5318] io_time[WRITE] 9295429630892703745 [ 68.921436][ T5318] fragmentation 0 [ 68.921439][ T5318] bp_start 8 [ 68.921443][ T5318] [ 68.921446][ T5318] invalid io_time[write]: 9295429630892703745, max 281474976710655: deleting [ 68.952012][ T5318] invalid bkey u64s 12 type alloc_v4 0:27:0 len 0 ver 0: [ 68.952026][ T5318] gen 0 oldest_gen 0 data_type btree [ 68.952032][ T5318] journal_seq 4 [ 68.952039][ T5318] need_discard 0 [ 68.952045][ T5318] need_inc_gen 0 [ 68.952051][ T5318] dirty_sectors 256 [ 68.952058][ T5318] stripe_sectors 1769482 [ 68.952064][ T5318] cached_sectors 0 [ 68.952070][ T5318] stripe 0 [ 68.952076][ T5318] stripe_redundancy 0 [ 68.952082][ T5318] io_time[READ] 1 [ 68.952089][ T5318] io_time[WRITE] 256 [ 68.952095][ T5318] fragmentation 0 [ 68.952099][ T5318] bp_start 8 [ 68.952103][ T5318] [ 68.952106][ T5318] bad val size (16 > 7): delete?, fixing [ 68.986186][ T5318] bcachefs (loop0): btree_node_read_work: rewriting btree node at btree=alloc level=0 SPOS_MAX due to error [ 68.993649][ T5318] bcachefs (loop0): error validating btree node at btree freespace level 0/0 [ 68.993661][ T5318] u64s 11 type btree_ptr_v2 SPOS_MAX len 0 ver 0: seq e81e1ed936acf3df written 32 min_key POS_MIN durability: 1 ptr: 0:29:0 gen 0 [ 68.993667][ T5318] node offset 16/32 bset u64s 13 bset byte offset 120: keys out of order: u64s 5 type set 0:34183644708895:0 len 1 ver 0 > u64s 5 type deleted 0:32:0 len 0 ver 0, fixing [ 69.010612][ T5318] bcachefs (loop0): btree_node_read_work: rewriting btree node at btree=freespace level=0 SPOS_MAX due to error [ 69.017950][ T5318] bcachefs (loop0): error validating btree node on loop0 at btree deleted_inodes level 0/0 [ 69.017966][ T5318] u64s 11 type btree_ptr_v2 SPOS_MAX len 0 ver 0: seq 1db8f60c84bb244c written 8 min_key POS_MIN durability: 1 ptr: 0:42:0 gen 0 [ 69.017974][ T5318] node offset 0/8 bset u64s 0: invalid bkey format: field 3 too large: 0 + 144115188075855872 > 4294967295 [ 69.017982][ T5318] u64s 3 fields 64:0, 64:0, 32:0, 0:144115188075855872, 0:0, 0:0 [ 69.038370][ T5318] bcachefs (loop0): flagging btree deleted_inodes lost data [ 69.042892][ T5318] error reading btree root deleted_inodes l=0: btree_node_read_error, fixing [ 69.047503][ T5318] bcachefs (loop0): scan_for_btree_nodes... [ 69.050547][ T5318] bch2_scan_for_btree_nodes: nodes found after overwrites: [ 69.050568][ T5318] extents l=0 seq=1 journal_seq=5 cookie=c6c25c03258c59c5 POS_MIN-SPOS_MAX ptr: 0:27:0 gen 0 [ 69.050576][ T5318] xattrs l=0 seq=1 journal_seq=4 cookie=2285c34bed0abe32 POS_MIN-SPOS_MAX ptr: 0:31:0 gen 0 [ 69.050580][ T5318] lru l=0 seq=1 journal_seq=5 cookie=28f61e078e70b95c POS_MIN-SPOS_MAX ptr: 0:28:0 gen 0 [ 69.050584][ T5318] [ 69.071345][ T5318] done [ 69.072507][ T5318] bcachefs (loop0): check_topology... [ 69.072564][ T5318] bcachefs (loop0): btree root dirents unreadable, must recover from scan [ 69.079877][ T5318] no nodes found for btree dirents, continuing [ 69.082178][ T5318] bcachefs (loop0): btree root deleted_inodes unreadable, must recover from scan [ 69.085707][ T5318] no nodes found for btree deleted_inodes, continuing [ 69.088208][ T5318] done [ 69.089278][ T5318] bcachefs (loop0): accounting_read... done [ 69.092751][ T5318] bcachefs (loop0): alloc_read... done [ 69.096174][ T5318] bcachefs (loop0): stripes_read... done [ 69.098524][ T5318] bcachefs (loop0): snapshots_read... done [ 69.101031][ T5318] bcachefs (loop0): check_allocations... [ 69.102599][ T5318] bcachefs (loop0): pointer to nonexistent bucket 256:22 [ 69.108745][ T5318] bcachefs (loop0): bch2_gc_mark_key(): error EIO [ 69.111336][ T5318] bcachefs (loop0): bch2_gc_btree(): error EIO [ 69.114136][ T5318] btree node read error for alloc, fixing [ 69.119095][ T5318] bucket 0:27 data type btree ptr gen 0 missing in alloc btree [ 69.119115][ T5318] while marking u64s 11 type btree_ptr_v2 SPOS_MAX len 0 ver 0: seq c6c25c03258c59c5 written 16 min_key POS_MIN durability: 1 ptr: 0:27:0 gen 0, fixing [ 69.129249][ T5318] btree ptr not marked in member info btree allocated bitmap [ 69.129262][ T5318] u64s 11 type btree_ptr_v2 SPOS_MAX len 0 ver 0: seq 7589ab5e0c11cc7a written 24 min_key POS_MIN durability: 1 ptr: 0:38:0 gen 0, fixing [ 69.142297][ T5318] bucket 0:38 data type btree ptr gen 0 missing in alloc btree [ 69.142312][ T5318] while marking u64s 11 type btree_ptr_v2 SPOS_MAX len 0 ver 0: seq 7589ab5e0c11cc7a written 24 min_key POS_MIN durability: 1 ptr: 0:38:0 gen 0, fixing [ 69.151642][ T5318] btree ptr not marked in member info btree allocated bitmap [ 69.151664][ T5318] u64s 11 type btree_ptr_v2 SPOS_MAX len 0 ver 0: seq c0bef60d07ceb940 written 16 min_key POS_MIN durability: 1 ptr: 0:35:0 gen 0, fixing [ 69.161789][ T5318] bucket 0:35 data type btree ptr gen 0 missing in alloc btree [ 69.161800][ T5318] while marking u64s 11 type btree_ptr_v2 SPOS_MAX len 0 ver 0: seq c0bef60d07ceb940 written 16 min_key POS_MIN durability: 1 ptr: 0:35:0 gen 0, fixing [ 69.171677][ T5318] btree ptr not marked in member info btree allocated bitmap [ 69.171692][ T5318] u64s 11 type btree_ptr_v2 SPOS_MAX len 0 ver 0: seq ebb8d5a9e3463bdb written 16 min_key POS_MIN durability: 1 ptr: 0:32:0 gen 0, fixing [ 69.181804][ T5318] bucket 0:32 data type btree ptr gen 0 missing in alloc btree [ 69.181820][ T5318] while marking u64s 11 type btree_ptr_v2 SPOS_MAX len 0 ver 0: seq ebb8d5a9e3463bdb written 16 min_key POS_MIN durability: 1 ptr: 0:32:0 gen 0, fixing [ 69.190627][ T5318] btree ptr not marked in member info btree allocated bitmap [ 69.190642][ T5318] u64s 11 type btree_ptr_v2 SPOS_MAX len 0 ver 0: seq e81e1ed936acf3df written 32 min_key POS_MIN durability: 1 ptr: 0:29:0 gen 0, fixing [ 69.201196][ T5318] bucket 0:29 data type btree ptr gen 0 missing in alloc btree [ 69.201211][ T5318] while marking u64s 11 type btree_ptr_v2 SPOS_MAX len 0 ver 0: seq e81e1ed936acf3df written 32 min_key POS_MIN durability: 1 ptr: 0:29:0 gen 0, fixing [ 69.210493][ T5318] bucket 0:3 gen 0 has wrong data_type: got free, should be sb, fixing [ 69.213449][ T5318] bucket 0:3 gen 0 data type sb has wrong dirty_sectors: got 0, should be 256, fixing [ 69.219207][ T5318] bucket 0:19 gen 0 has wrong data_type: got free, should be sb, fixing [ 69.222062][ T5318] bucket 0:19 gen 0 data type sb has wrong dirty_sectors: got 0, should be 256, fixing [ 69.225959][ T5318] bucket 0:22 gen 0 has wrong data_type: got free, should be sb, fixing [ 69.229280][ T5318] bucket 0:22 gen 0 data type sb has wrong dirty_sectors: got 0, should be 256, fixing [ 69.232640][ T5318] bucket 0:23 gen 0 has wrong data_type: got free, should be sb, fixing [ 69.236565][ T5318] bucket 0:23 gen 0 data type sb has wrong dirty_sectors: got 0, should be 256, fixing [ 69.240092][ T5318] bucket 0:24 gen 0 has wrong data_type: got free, should be journal, fixing [ 69.243315][ T5318] bucket 0:24 gen 0 data type journal has wrong dirty_sectors: got 0, should be 256, fixing [ 69.248215][ T5318] bucket 0:27 gen 0 has wrong data_type: got free, should be btree, fixing [ 69.251915][ T5318] bucket 0:27 gen 0 data type btree has wrong dirty_sectors: got 0, should be 256, fixing [ 69.256739][ T5318] bucket 0:29 gen 0 has wrong data_type: got free, should be btree, fixing [ 69.260022][ T5318] bucket 0:29 gen 0 data type btree has wrong dirty_sectors: got 0, should be 256, fixing [ 69.264037][ T5318] bucket 0:32 gen 0 has wrong data_type: got free, should be btree, fixing [ 69.268203][ T5318] bucket 0:32 gen 0 data type btree has wrong dirty_sectors: got 0, should be 256, fixing [ 69.271971][ T5318] bucket 0:35 gen 0 has wrong data_type: got free, should be btree, fixing [ 69.276246][ T5318] bucket 0:35 gen 0 data type btree has wrong dirty_sectors: got 0, should be 256, fixing [ 69.280183][ T5318] bucket 0:38 gen 0 has wrong data_type: got free, should be btree, fixing [ 69.283438][ T5318] bucket 0:38 gen 0 data type btree has wrong dirty_sectors: got 0, should be 256, fixing [ 69.288881][ T5318] bucket 0:42 gen 0 has wrong data_type: got btree, should be need_discard, fixing [ 69.292449][ T5318] bucket 0:42 gen 0 data type need_discard has wrong dirty_sectors: got 256, should be 0, fixing [ 69.298379][ T5318] bucket 0:120 gen 0 has wrong data_type: got free, should be sb, fixing [ 69.301620][ T5318] bucket 0:120 gen 0 data type sb has wrong dirty_sectors: got 0, should be 256, fixing [ 69.306847][ T5318] bucket 0:121 gen 0 has wrong data_type: got free, should be sb, fixing [ 69.310323][ T5318] bucket 0:121 gen 0 data type sb has wrong dirty_sectors: got 0, should be 256, fixing [ 69.314228][ T5318] bucket 0:122 gen 0 has wrong data_type: got free, should be sb, fixing [ 69.318616][ T5318] bucket 0:122 gen 0 data type sb has wrong dirty_sectors: got 0, should be 256, fixing [ 69.322508][ T5318] bucket 0:123 gen 0 has wrong data_type: got free, should be sb, fixing [ 69.325901][ T5318] bucket 0:123 gen 0 data type sb has wrong dirty_sectors: got 0, should be 256, fixing [ 69.329948][ T5318] bucket 0:124 gen 0 has wrong data_type: got free, should be sb, fixing [ 69.333369][ T5318] bucket 0:124 gen 0 data type sb has wrong dirty_sectors: got 0, should be 256, fixing [ 69.338793][ T5318] bucket 0:125 gen 0 has wrong data_type: got free, should be sb, fixing [ 69.342042][ T5318] bucket 0:125 gen 0 data type sb has wrong dirty_sectors: got 0, should be 256, fixing [ 69.346172][ T5318] bucket 0:126 gen 0 has wrong data_type: got free, should be sb, fixing [ 69.349282][ T5318] bucket 0:126 gen 0 data type sb has wrong dirty_sectors: got 0, should be 256, fixing [ 69.361196][ T5318] bucket 0:127 gen 0 has wrong data_type: got free, should be sb, fixing [ 69.365667][ T5318] bucket 0:127 gen 0 data type sb has wrong dirty_sectors: got 0, should be 256, fixing [ 69.373450][ T5318] done [ 69.378337][ T5318] bcachefs (loop0): going read-write [ 69.385684][ T5318] bcachefs (loop0): journal_replay... [ 69.394728][ T30] ------------[ cut here ]------------ [ 69.399038][ T30] kernel BUG at fs/bcachefs/btree_io.c:2100! [ 69.402596][ T30] Oops: invalid opcode: 0000 [#1] PREEMPT SMP KASAN NOPTI [ 69.405277][ T30] CPU: 0 UID: 0 PID: 30 Comm: kworker/u4:2 Not tainted 6.13.0-rc4-syzkaller-00012-g9b2ffa6148b1 #0 [ 69.408965][ T30] Hardware name: QEMU Standard PC (Q35 + ICH9, 2009), BIOS 1.16.3-debian-1.16.3-2~bpo12+1 04/01/2014 [ 69.412952][ T30] Workqueue: btree_node_rewrite async_btree_node_rewrite_work [ 69.415660][ T30] RIP: 0010:__bch2_btree_node_write+0x43d8/0x4400 [ 69.418011][ T30] Code: fd 90 0f 0b e8 79 f7 82 fd 90 0f 0b e8 71 f7 82 fd 90 0f 0b e8 69 f7 82 fd 90 0f 0b e8 61 f7 82 fd 90 0f 0b e8 59 f7 82 fd 90 <0f> 0b e8 51 f7 82 fd 90 0f 0b e8 49 f7 82 fd 90 0f 0b e8 41 f7 82 [ 69.424939][ T30] RSP: 0018:ffffc90000517560 EFLAGS: 00010293 [ 69.427184][ T30] RAX: ffffffff841c7cd7 RBX: 00000000000000fa RCX: ffff88801de2c880 [ 69.430216][ T30] RDX: 0000000000000000 RSI: 0000000000000103 RDI: 00000000000000fa [ 69.433164][ T30] RBP: ffffc90000517840 R08: ffffffff841c5bd8 R09: 0000000000000000 [ 69.435911][ T30] R10: ffffc90000517300 R11: fffff520000a2e62 R12: dffffc0000000000 [ 69.438632][ T30] R13: ffff8880525b609e R14: 0000000000000103 R15: 00000000000000fa [ 69.441592][ T30] FS: 0000000000000000(0000) GS:ffff88801fc00000(0000) knlGS:0000000000000000 [ 69.444859][ T30] CS: 0010 DS: 0000 ES: 0000 CR0: 0000000080050033 [ 69.447249][ T30] CR2: 00005614e13be018 CR3: 000000001a824000 CR4: 0000000000352ef0 [ 69.450313][ T30] DR0: 0000000000000000 DR1: 0000000000000000 DR2: 0000000000000000 [ 69.453408][ T30] DR3: 0000000000000000 DR6: 00000000fffe0ff0 DR7: 0000000000000400 [ 69.456519][ T30] Call Trace: [ 69.458005][ T30] [ 69.459216][ T30] ? __die_body+0x5f/0xb0 [ 69.460782][ T30] ? die+0x9e/0xc0 [ 69.462112][ T30] ? do_trap+0x15a/0x3a0 [ 69.463697][ T30] ? __bch2_btree_node_write+0x43d8/0x4400 [ 69.465862][ T30] ? do_error_trap+0x1dc/0x2c0 [ 69.467692][ T30] ? __bch2_btree_node_write+0x43d8/0x4400 [ 69.469946][ T30] ? __pfx_do_error_trap+0x10/0x10 [ 69.471914][ T30] ? report_bug+0x3e8/0x500 [ 69.473776][ T30] ? handle_invalid_op+0x34/0x40 [ 69.475584][ T30] ? __bch2_btree_node_write+0x43d8/0x4400 [ 69.477801][ T30] ? exc_invalid_op+0x38/0x50 [ 69.479596][ T30] ? asm_exc_invalid_op+0x1a/0x20 [ 69.481380][ T30] ? __bch2_btree_node_write+0x22d8/0x4400 [ 69.483260][ T30] ? __bch2_btree_node_write+0x43d7/0x4400 [ 69.485329][ T30] ? __bch2_btree_node_write+0x43d8/0x4400 [ 69.487383][ T30] ? __pfx___bch2_btree_node_write+0x10/0x10 [ 69.489647][ T30] ? __mutex_unlock_slowpath+0x21e/0x790 [ 69.491663][ T30] ? __pfx___mutex_lock+0x10/0x10 [ 69.493532][ T30] ? __pfx___mutex_unlock_slowpath+0x10/0x10 [ 69.495714][ T30] ? six_unlock_ip+0x2ce/0x3e0 [ 69.497510][ T30] ? bch2_btree_node_unlock_write+0x6bb/0x8e0 [ 69.499870][ T30] ? bch2_btree_set_root+0x8e9/0xd10 [ 69.501947][ T30] bch2_btree_node_write+0x63/0x1f0 [ 69.503852][ T30] bch2_btree_node_rewrite+0xcac/0x1270 [ 69.505948][ T30] ? bch2_btree_node_rewrite+0x225/0x1270 [ 69.507930][ T30] ? __pfx_bch2_btree_node_rewrite+0x10/0x10 [ 69.509931][ T30] async_btree_node_rewrite_work+0x31e/0xda0 [ 69.511958][ T30] ? __pfx_async_btree_node_rewrite_work+0x10/0x10 [ 69.514025][ T30] ? async_btree_node_rewrite_work+0x232/0xda0 [ 69.516180][ T30] ? __pfx_lockdep_hardirqs_on_prepare+0x10/0x10 [ 69.518533][ T30] ? process_scheduled_works+0x976/0x1840 [ 69.520684][ T30] process_scheduled_works+0xa66/0x1840 [ 69.522822][ T30] ? __pfx_process_scheduled_works+0x10/0x10 [ 69.525027][ T30] ? assign_work+0x364/0x3d0 [ 69.526739][ T30] worker_thread+0x870/0xd30 [ 69.528545][ T30] ? __kthread_parkme+0x169/0x1d0 [ 69.530477][ T30] ? __pfx_worker_thread+0x10/0x10 [ 69.532475][ T30] kthread+0x2f0/0x390 [ 69.533883][ T30] ? __pfx_worker_thread+0x10/0x10 [ 69.535812][ T30] ? __pfx_kthread+0x10/0x10 [ 69.537528][ T30] ret_from_fork+0x4b/0x80 [ 69.539123][ T30] ? __pfx_kthread+0x10/0x10 [ 69.540762][ T30] ret_from_fork_asm+0x1a/0x30 [ 69.542559][ T30] [ 69.543724][ T30] Modules linked in: [ 69.545912][ T30] ---[ end trace 0000000000000000 ]--- [ 69.559475][ T30] RIP: 0010:__bch2_btree_node_write+0x43d8/0x4400 [ 69.561574][ T30] Code: fd 90 0f 0b e8 79 f7 82 fd 90 0f 0b e8 71 f7 82 fd 90 0f 0b e8 69 f7 82 fd 90 0f 0b e8 61 f7 82 fd 90 0f 0b e8 59 f7 82 fd 90 <0f> 0b e8 51 f7 82 fd 90 0f 0b e8 49 f7 82 fd 90 0f 0b e8 41 f7 82 [ 69.569239][ T30] RSP: 0018:ffffc90000517560 EFLAGS: 00010293 [ 69.571543][ T30] RAX: ffffffff841c7cd7 RBX: 00000000000000fa RCX: ffff88801de2c880 [ 69.575345][ T30] RDX: 0000000000000000 RSI: 0000000000000103 RDI: 00000000000000fa [ 69.578051][ T30] RBP: ffffc90000517840 R08: ffffffff841c5bd8 R09: 0000000000000000 [ 69.580833][ T30] R10: ffffc90000517300 R11: fffff520000a2e62 R12: dffffc0000000000 [ 69.583488][ T30] R13: ffff8880525b609e R14: 0000000000000103 R15: 00000000000000fa [ 69.586920][ T30] FS: 0000000000000000(0000) GS:ffff88801fc00000(0000) knlGS:0000000000000000 [ 69.589972][ T30] CS: 0010 DS: 0000 ES: 0000 CR0: 0000000080050033 [ 69.592254][ T30] CR2: 00005614e13be018 CR3: 000000001a824000 CR4: 0000000000352ef0 [ 69.598905][ T30] DR0: 0000000000000000 DR1: 0000000000000000 DR2: 0000000000000000 [ 69.602015][ T30] DR3: 0000000000000000 DR6: 00000000fffe0ff0 DR7: 0000000000000400 [ 69.608117][ T30] Kernel panic - not syncing: Fatal exception [ 69.610774][ T30] Kernel Offset: disabled [ 69.612629][ T30] Rebooting in 86400 seconds..