Vector memory leak with in-memory buffer

[valerypetrov]

Hi there,

We've deployed a vector to our Linux host (centos 7.8). And configured the Kafka as a Source and Minio(S3) as a Sink. We've also set the mem buffer and looks like that there are some issues with memory leakage. Here is the memory usage:

Vector version:

vector --version
vector 0.16.0 (x86_64-unknown-linux-gnu 9e4174d 2021-08-25)

Vector Configuration File

[api]
  enabled = true

[sources.kafka_source_rsyslog-etc]
  type = "kafka"
  bootstrap_servers = ""
  group_id = "s3-vector-001-consumer-group-test"
  topics = ["rsyslog_etc"]
  auto_offset_reset = "earliest"
  [sources.kafka_source_rsyslog-etc.librdkafka_options]
    "fetch.max.bytes" = "102428800"
    "receive.message.max.bytes" = "2147483647"

[transforms.copy_original_message_rsyslog-etc]
  type = "remap"
  inputs = ["kafka_source_rsyslog-etc"]
  source = '''
  .original_message, err = to_string(.message)
  '''

[transforms.json_parser_rsyslog-etc]
  type = "json_parser"
  inputs = ["copy_original_message_rsyslog-etc"]
  drop_field = true
  drop_invalid = true
  field = "message"

[transforms.to_downcase_rsyslog-etc]
  type = "remap"
  inputs = ["json_parser_rsyslog-etc"]
  source = '''
  .component_type, err = downcase(.component_type)
  .log_type, err = downcase(.log_type)
  '''

[transforms.regex_component_rsyslog-etc]
  type = "regex_parser"
  inputs = ["to_downcase_rsyslog-etc"]
  drop_failed = true
  drop_field = false
  field = "component_type"
  patterns = ['^[\w]{3,}$']

[transforms.regex_log_type_rsyslog-etc]
  type = "regex_parser"
  inputs = ["regex_component_rsyslog-etc"]
  drop_failed = true
  drop_field = false
  field = "log_type"
  patterns = ['^[\w.-]{3,}$']

[sinks.output_s3_rsyslog-etc]
  inputs = ["regex_log_type_rsyslog-etc"]
  type = "aws_s3"
  compression = "none"
  endpoint = ""
  bucket = "logs"
  key_prefix   = "kafka/%F/{{ component_type }}/"
  encoding     = "ndjson"
  auth.access_key_id = "logstash"
  auth.secret_access_key = "logstash"
  buffer.when_full = "block"
  buffer.type = "memory"
  buffer.max_events = 5000000
  batch.max_bytes = 52428800
  request.concurrency = "adaptive"

During the vector work, it may consume all free memory. Furthermore, I think that there might be an issue with the deletion of the already sent events to the S3 from the in-memory buffer. Because here not really the big difference in processing between modules( I mean the transforms and other modules on config file)

[valerypetrov]

Here is memory usage by the Vector process

pmap -p 32778
32778:   /usr/bin/vector --config /etc/vector/vector_kafka_to_minio_rsyslog*.toml -v
000056396f887000  92328K r-x-- /usr/bin/vector
00005639754b0000   4116K r---- /usr/bin/vector
00005639758b5000    108K rw--- /usr/bin/vector
00005639758d0000     52K rw---   [ anon ]
00005639771b8000  39152K rw---   [ anon ]
00007fe3f8000000  11796K rw---   [ anon ]
00007fe3f8b85000  53740K -----   [ anon ]
00007fe400000000  11560K rw---   [ anon ]
00007fe400b4a000  53976K -----   [ anon ]
00007fe404000000  52436K rw---   [ anon ]
00007fe407335000  13100K -----   [ anon ]
00007fe408000000  65536K rw---   [ anon ]
00007fe40c000000    476K rw---   [ anon ]
00007fe40c077000  65060K -----   [ anon ]
00007fe410000000 129352K rw---   [ anon ]
00007fe417e52000   1720K -----   [ anon ]
00007fe418000000  65532K rw---   [ anon ]
00007fe41bfff000      4K -----   [ anon ]
00007fe41c000000  65536K rw---   [ anon ]
00007fe420000000  65536K rw---   [ anon ]
00007fe428000000  65480K rw---   [ anon ]
00007fe42bff2000     56K -----   [ anon ]
00007fe42c000000  61324K rw---   [ anon ]
00007fe42fbe3000   4212K -----   [ anon ]
00007fe430000000 131072K rw---   [ anon ]
00007fe438000000  65536K rw---   [ anon ]
00007fe43c000000  60964K rw---   [ anon ]
00007fe43fb89000   4572K -----   [ anon ]
00007fe440000000  65536K rw---   [ anon ]
00007fe444000000  65536K rw---   [ anon ]
00007fe448000000  23852K rw---   [ anon ]
00007fe44974b000  41684K -----   [ anon ]
00007fe44c000000  65536K rw---   [ anon ]
00007fe450000000  65536K rw---   [ anon ]
00007fe454000000  60728K rw---   [ anon ]
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00007fe458000000  65536K rw---   [ anon ]
00007fe460000000 131072K rw---   [ anon ]
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00007fe470000000  19160K rw---   [ anon ]
00007fe4712b6000  46376K -----   [ anon ]
00007fe474000000  65536K rw---   [ anon ]
00007fe478000000 131048K rw---   [ anon ]
00007fe47fffa000     24K -----   [ anon ]
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00007fe570000000 196608K rw---   [ anon ]
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00007fe72fff6000     40K -----   [ anon ]
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00007fe748000000  65536K rw---   [ anon ]
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00007fe78c000000 131072K rw---   [ anon ]
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00007fe7d4000000 262144K rw---   [ anon ]
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00007fef042d4000     92K r-x-- /usr/lib64/libpthread-2.17.so
00007fef042eb000   2044K ----- /usr/lib64/libpthread-2.17.so
00007fef044ea000      4K r---- /usr/lib64/libpthread-2.17.so
00007fef044eb000      4K rw--- /usr/lib64/libpthread-2.17.so
00007fef044ec000     16K rw---   [ anon ]
00007fef044f0000     28K r-x-- /usr/lib64/librt-2.17.so
00007fef044f7000   2044K ----- /usr/lib64/librt-2.17.so
00007fef046f6000      4K r---- /usr/lib64/librt-2.17.so
00007fef046f7000      4K rw--- /usr/lib64/librt-2.17.so
00007fef046f8000     84K r-x-- /usr/lib64/libgcc_s-4.8.5-20150702.so.1
00007fef0470d000   2044K ----- /usr/lib64/libgcc_s-4.8.5-20150702.so.1
00007fef0490c000      4K r---- /usr/lib64/libgcc_s-4.8.5-20150702.so.1
00007fef0490d000      4K rw--- /usr/lib64/libgcc_s-4.8.5-20150702.so.1
00007fef0490e000    932K r-x-- /usr/lib64/libstdc++.so.6.0.19
00007fef049f7000   2044K ----- /usr/lib64/libstdc++.so.6.0.19
00007fef04bf6000     32K r---- /usr/lib64/libstdc++.so.6.0.19
00007fef04bfe000      8K rw--- /usr/lib64/libstdc++.so.6.0.19
00007fef04c00000     84K rw---   [ anon ]
00007fef04c15000     88K r-x-- /usr/lib64/libresolv-2.17.so
00007fef04c2b000   2044K ----- /usr/lib64/libresolv-2.17.so
00007fef04e2a000      4K r---- /usr/lib64/libresolv-2.17.so
00007fef04e2b000      4K rw--- /usr/lib64/libresolv-2.17.so
00007fef04e2c000      8K rw---   [ anon ]
00007fef04e2e000    136K r-x-- /usr/lib64/ld-2.17.so
00007fef04edf000    212K r--s- /var/db/nscd/hosts
00007fef04f14000    232K rw---   [ anon ]
00007fef04f58000    448K rw---   [ anon ]
00007fef04fc8000      4K -----   [ anon ]
00007fef04fc9000      8K rw---   [ anon ]
00007fef04fcb000      4K -----   [ anon ]
00007fef04fcc000      8K rw---   [ anon ]
00007fef04fce000      4K -----   [ anon ]
00007fef04fcf000      8K rw---   [ anon ]
00007fef04fd1000      4K -----   [ anon ]
00007fef04fd2000      8K rw---   [ anon ]
00007fef04fd4000      4K -----   [ anon ]
00007fef04fd5000      8K rw---   [ anon ]
00007fef04fd7000      4K -----   [ anon ]
00007fef04fd8000      8K rw---   [ anon ]
00007fef04fda000      4K -----   [ anon ]
00007fef04fdb000      8K rw---   [ anon ]
00007fef04fdd000      4K -----   [ anon ]
00007fef04fde000      8K rw---   [ anon ]
00007fef04fe0000      4K -----   [ anon ]
00007fef04fe1000      8K rw---   [ anon ]
00007fef04fe3000      4K -----   [ anon ]
00007fef04fe4000      8K rw---   [ anon ]
00007fef04fe6000      4K -----   [ anon ]
00007fef04fe7000      8K rw---   [ anon ]
00007fef04fe9000      4K -----   [ anon ]
00007fef04fea000      8K rw---   [ anon ]
00007fef04fec000      4K -----   [ anon ]
00007fef04fed000      8K rw---   [ anon ]
00007fef04fef000      4K -----   [ anon ]
00007fef04ff0000      8K rw---   [ anon ]
00007fef04ff2000      4K -----   [ anon ]
00007fef04ff3000      8K rw---   [ anon ]
00007fef04ff5000      4K -----   [ anon ]
00007fef04ff6000      8K rw---   [ anon ]
00007fef04ff8000      4K -----   [ anon ]
00007fef04ff9000      8K rw---   [ anon ]
00007fef04ffb000      4K -----   [ anon ]
00007fef04ffc000      8K rw---   [ anon ]
00007fef04ffe000      4K -----   [ anon ]
00007fef04fff000      8K rw---   [ anon ]
00007fef05001000      4K -----   [ anon ]
00007fef05002000      8K rw---   [ anon ]
00007fef05004000      4K -----   [ anon ]
00007fef05005000      8K rw---   [ anon ]
00007fef05007000      4K -----   [ anon ]
00007fef05008000      8K rw---   [ anon ]
00007fef0500a000      4K -----   [ anon ]
00007fef0500b000      8K rw---   [ anon ]
00007fef0500d000      4K -----   [ anon ]
00007fef0500e000      8K rw---   [ anon ]
00007fef05010000      4K -----   [ anon ]
00007fef05011000      8K rw---   [ anon ]
00007fef05013000      4K -----   [ anon ]
00007fef05014000      8K rw---   [ anon ]
00007fef05016000      4K -----   [ anon ]
00007fef05017000      8K rw---   [ anon ]
00007fef05019000      4K -----   [ anon ]
00007fef0501a000      8K rw---   [ anon ]
00007fef0501c000      4K -----   [ anon ]
00007fef0501d000      8K rw---   [ anon ]
00007fef0501f000      4K -----   [ anon ]
00007fef05020000      8K rw---   [ anon ]
00007fef05022000      4K -----   [ anon ]
00007fef05023000      8K rw---   [ anon ]
00007fef05025000      4K -----   [ anon ]
00007fef05026000      8K rw---   [ anon ]
00007fef05028000      4K -----   [ anon ]
00007fef05029000      8K rw---   [ anon ]
00007fef0502b000      4K -----   [ anon ]
00007fef0502c000      8K rw---   [ anon ]
00007fef0502e000      4K -----   [ anon ]
00007fef0502f000      8K rw---   [ anon ]
00007fef05031000      4K -----   [ anon ]
00007fef05032000      8K rw---   [ anon ]
00007fef05034000      4K -----   [ anon ]
00007fef05035000     52K rw---   [ anon ]
00007fef05042000      4K -----   [ anon ]
00007fef05043000      8K rw---   [ anon ]
00007fef05045000      4K -----   [ anon ]
00007fef05046000      8K rw---   [ anon ]
00007fef05048000      4K -----   [ anon ]
00007fef05049000      8K rw---   [ anon ]
00007fef0504b000      4K -----   [ anon ]
00007fef0504c000     12K rw---   [ anon ]
00007fef0504f000      4K r---- /usr/lib64/ld-2.17.so
00007fef05050000      4K rw--- /usr/lib64/ld-2.17.so
00007fef05051000      4K rw---   [ anon ]
00007ffea87aa000    132K rw---   [ stack ]
00007ffea87cb000      8K r-x--   [ anon ]
ffffffffff600000      4K r-x--   [ anon ]
 total         42460312K

After 2-3 minutes:

pmap -p 32778
32778:   /usr/bin/vector --config /etc/vector/vector_kafka_to_minio_rsyslog*.toml -v
000056396f887000  92328K r-x-- /usr/bin/vector
00005639754b0000   4116K r---- /usr/bin/vector
00005639758b5000    108K rw--- /usr/bin/vector
00005639758d0000     52K rw---   [ anon ]
00005639771b8000  39152K rw---   [ anon ]
00007fe304000000   2880K rw---   [ anon ]
00007fe3042d0000  62656K -----   [ anon ]
00007fe30c000000  65536K rw---   [ anon ]
00007fe310000000  11000K rw---   [ anon ]
00007fe310abe000  54536K -----   [ anon ]
00007fe314000000  65536K rw---   [ anon ]
00007fe318000000  47548K rw---   [ anon ]
00007fe31ae6f000  17988K -----   [ anon ]
00007fe31c000000  65536K rw---   [ anon ]
00007fe320000000  37592K rw---   [ anon ]
00007fe3224b6000  27944K -----   [ anon ]
00007fe324000000 131072K rw---   [ anon ]
00007fe32c000000  19880K rw---   [ anon ]
00007fe32d36a000  45656K -----   [ anon ]
00007fe330000000  47040K rw---   [ anon ]
00007fe332df0000  18496K -----   [ anon ]
00007fe334000000  65536K rw---   [ anon ]
00007fe338000000  65536K rw---   [ anon ]
00007fe33c000000  65536K rw---   [ anon ]
00007fe340000000  65536K rw---   [ anon ]
00007fe344000000  65536K rw---   [ anon ]
00007fe348000000  65536K rw---   [ anon ]
00007fe34c000000 131072K rw---   [ anon ]
00007fe358000000  65536K rw---   [ anon ]
00007fe35c000000  65536K rw---   [ anon ]
00007fe360000000  65536K rw---   [ anon ]
00007fe364000000  65536K rw---   [ anon ]
00007fe368000000  65536K rw---   [ anon ]
00007fe36c000000  65536K rw---   [ anon ]
00007fe370000000  65536K rw---   [ anon ]
00007fe374000000  65536K rw---   [ anon ]
00007fe378000000  65536K rw---   [ anon ]
00007fe37c000000  65536K rw---   [ anon ]
00007fe380000000  19776K rw---   [ anon ]
00007fe381350000  45760K -----   [ anon ]
00007fe384000000  65536K rw---   [ anon ]
00007fe388000000  65536K rw---   [ anon ]
00007fe38c000000  65536K rw---   [ anon ]
00007fe394000000  65536K rw---   [ anon ]
00007fe398000000  65536K rw---   [ anon ]
00007fe39c000000  65536K rw---   [ anon ]
00007fe3a0000000 131072K rw---   [ anon ]
00007fe3a8000000  57908K rw---   [ anon ]
00007fe3ab88d000   7628K -----   [ anon ]
00007fe3ac000000  65536K rw---   [ anon ]
00007fe3b0000000  65536K rw---   [ anon ]
00007fe3b4000000  65536K rw---   [ anon ]
00007fe3b8000000  65536K rw---   [ anon ]
00007fe3bc000000  65536K rw---   [ anon ]
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00007fe3c4000000  65536K rw---   [ anon ]
00007fe3c8000000  65536K rw---   [ anon ]
00007fe3cc000000  65536K rw---   [ anon ]
00007fe3d0000000  65536K rw---   [ anon ]
00007fe3d4000000  65536K rw---   [ anon ]
00007fe3d8000000  51620K rw---   [ anon ]
00007fe3db269000  13916K -----   [ anon ]
00007fe3dc000000  65536K rw---   [ anon ]
00007fe3e0000000  28456K rw---   [ anon ]
00007fe3e1bca000  37080K -----   [ anon ]
00007fe3e4000000  65536K rw---   [ anon ]
00007fe3e8000000  65536K rw---   [ anon ]
00007fe3ec000000  65536K rw---   [ anon ]
00007fe3f0000000  65536K rw---   [ anon ]
00007fe3f4000000  65536K rw---   [ anon ]
00007fe3f8000000  65536K rw---   [ anon ]
00007fe400000000  65536K rw---   [ anon ]
00007fe404000000  65536K rw---   [ anon ]
00007fe408000000  65536K rw---   [ anon ]
00007fe40c000000  65536K rw---   [ anon ]
00007fe410000000 131072K rw---   [ anon ]
00007fe41c000000  65536K rw---   [ anon ]
00007fe420000000  65536K rw---   [ anon ]
00007fe428000000  65480K rw---   [ anon ]
00007fe42bff2000     56K -----   [ anon ]
00007fe42c000000  61324K rw---   [ anon ]
00007fe42fbe3000   4212K -----   [ anon ]
00007fe430000000 131072K rw---   [ anon ]
00007fe438000000  65536K rw---   [ anon ]
00007fe43c000000  60964K rw---   [ anon ]
00007fe43fb89000   4572K -----   [ anon ]
00007fe440000000  65536K rw---   [ anon ]
00007fe444000000  65536K rw---   [ anon ]
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00007fe44c000000  65536K rw---   [ anon ]
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00007fe454000000  60728K rw---   [ anon ]
00007fe457b4e000   4808K -----   [ anon ]
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00007fe460000000 131072K rw---   [ anon ]
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00007fe478000000 131072K rw---   [ anon ]
00007fe480000000  65536K rw---   [ anon ]
00007fe488000000  55440K rw---   [ anon ]
00007fe48b624000  10096K -----   [ anon ]
00007fe48c000000  65536K rw---   [ anon ]
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00007fe4bc000000  64828K rw---   [ anon ]
00007fe4bff4f000    708K -----   [ anon ]
00007fe4c0000000  65536K rw---   [ anon ]
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00007fe4d0000000  65536K rw---   [ anon ]
00007fe4d4000000  65536K rw---   [ anon ]
00007fe4d8000000  65536K rw---   [ anon ]
00007fe4e0000000  65536K rw---   [ anon ]
00007fe4e4000000  65536K rw---   [ anon ]
00007fe4ec000000  65536K rw---   [ anon ]
00007fe4f0000000  65536K rw---   [ anon ]
00007fe4f4000000  65536K rw---   [ anon ]
00007fe4f8000000  65536K rw---   [ anon ]
00007fe4fc000000  59692K rw---   [ anon ]
00007fe4ffa4b000   5844K -----   [ anon ]
00007fe504000000  65536K rw---   [ anon ]
00007fe508000000  65536K rw---   [ anon ]
00007fe50c000000  65536K rw---   [ anon ]
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00007fe514000000  65536K rw---   [ anon ]
00007fe518000000  65536K rw---   [ anon ]
00007fe51c000000  65536K rw---   [ anon ]
00007fe520000000  65536K rw---   [ anon ]
00007fe524000000  65536K rw---   [ anon ]
00007fe528000000  65536K rw---   [ anon ]
00007fe52c000000  57596K rw---   [ anon ]
00007fe52f83f000   7940K -----   [ anon ]
00007fe530000000  65536K rw---   [ anon ]
00007fe534000000  65536K rw---   [ anon ]
00007fe538000000  65536K rw---   [ anon ]
00007fe53c000000  65536K rw---   [ anon ]
00007fe540000000  65536K rw---   [ anon ]
00007fe548000000 131072K rw---   [ anon ]
00007fe550000000  65536K rw---   [ anon ]
00007fe558000000  65536K rw---   [ anon ]
00007fe55c000000  65536K rw---   [ anon ]
00007fe560000000  65536K rw---   [ anon ]
00007fe564000000  65536K rw---   [ anon ]
00007fe568000000  65536K rw---   [ anon ]
00007fe56c000000  26380K rw---   [ anon ]
00007fe56d9c3000  39156K -----   [ anon ]
00007fe570000000 196608K rw---   [ anon ]
00007fe57c000000  65536K rw---   [ anon ]
00007fe580000000  65536K rw---   [ anon ]
00007fe584000000  65536K rw---   [ anon ]
00007fe588000000  65536K rw---   [ anon ]
00007fe590000000  65536K rw---   [ anon ]
00007fe594000000  65536K rw---   [ anon ]
00007fe598000000  65536K rw---   [ anon ]
00007fe5a0000000 131072K rw---   [ anon ]
00007fe5a8000000  65536K rw---   [ anon ]
00007fe5ac000000  65536K rw---   [ anon ]
00007fe5b0000000 131072K rw---   [ anon ]
00007fe5b8000000  65536K rw---   [ anon ]
00007fe5bc000000  65536K rw---   [ anon ]
00007fe5c0000000  65536K rw---   [ anon ]
00007fe5c8000000  65536K rw---   [ anon ]
00007fe5d0000000  65536K rw---   [ anon ]
00007fe5d4000000  65536K rw---   [ anon ]
00007fe5d8000000  65536K rw---   [ anon ]
00007fe5dc000000  65536K rw---   [ anon ]
00007fe5e0000000  65536K rw---   [ anon ]
00007fe5e4000000  65536K rw---   [ anon ]
00007fe5e8000000  65536K rw---   [ anon ]
00007fe5ec000000  65536K rw---   [ anon ]
00007fe5f0000000  65536K rw---   [ anon ]
00007fe5f4000000  65536K rw---   [ anon ]
00007fe5f8000000  65536K rw---   [ anon ]
00007fe5fc000000  65536K rw---   [ anon ]
00007fe600000000  65536K rw---   [ anon ]
00007fe604000000  65536K rw---   [ anon ]
00007fe608000000  65536K rw---   [ anon ]
00007fe60c000000 131072K rw---   [ anon ]
00007fe614000000 131072K rw---   [ anon ]
00007fe620000000  65536K rw---   [ anon ]
00007fe624000000 131072K rw---   [ anon ]
00007fe62c000000  65536K rw---   [ anon ]
00007fe630000000  65536K rw---   [ anon ]
00007fe634000000  65536K rw---   [ anon ]
00007fe63c000000  65536K rw---   [ anon ]
00007fe644000000 131072K rw---   [ anon ]
00007fe64c000000  65536K rw---   [ anon ]
00007fe650000000  65536K rw---   [ anon ]
00007fe654000000  65536K rw---   [ anon ]
00007fe658000000  65536K rw---   [ anon ]
00007fe660000000  53700K rw---   [ anon ]
00007fe663471000  11836K -----   [ anon ]
00007fe664000000  65536K rw---   [ anon ]
00007fe668000000  65536K rw---   [ anon ]
00007fe66c000000  65536K rw---   [ anon ]
00007fe670000000  65536K rw---   [ anon ]
00007fe674000000  65536K rw---   [ anon ]
00007fe678000000  65536K rw---   [ anon ]
00007fe67c000000  65536K rw---   [ anon ]
00007fe680000000  65536K rw---   [ anon ]
00007fe684000000  65536K rw---   [ anon ]
00007fe688000000  65536K rw---   [ anon ]
00007fe68c000000  65536K rw---   [ anon ]
00007fe690000000  65536K rw---   [ anon ]
00007fe694000000  65536K rw---   [ anon ]
00007fe69c000000  65536K rw---   [ anon ]
00007fe6a0000000  65536K rw---   [ anon ]
00007fe6a4000000  65536K rw---   [ anon ]
00007fe6a8000000  65536K rw---   [ anon ]
00007fe6ac000000  65536K rw---   [ anon ]
00007fe6b0000000  65536K rw---   [ anon ]
00007fe6b4000000  65536K rw---   [ anon ]
00007fe6b8000000  65536K rw---   [ anon ]
00007fe6bc000000  65536K rw---   [ anon ]
00007fe6c0000000  65536K rw---   [ anon ]
00007fe6c4000000  65536K rw---   [ anon ]
00007fe6c8000000  65536K rw---   [ anon ]
00007fe6cc000000  65536K rw---   [ anon ]
00007fe6d0000000  65536K rw---   [ anon ]
00007fe6d4000000  65536K rw---   [ anon ]
00007fe6d8000000  65536K rw---   [ anon ]
00007fe6dc000000  65536K rw---   [ anon ]
00007fe6e4000000  65536K rw---   [ anon ]
00007fe6e8000000  65536K rw---   [ anon ]
00007fe6ec000000  65536K rw---   [ anon ]
00007fe6f4000000  65536K rw---   [ anon ]
00007fe6f8000000  65536K rw---   [ anon ]
00007fe6fc000000  65536K rw---   [ anon ]
00007fe700000000  65536K rw---   [ anon ]
00007fe708000000  65536K rw---   [ anon ]
00007fe70c000000 131072K rw---   [ anon ]
00007fe714000000 131072K rw---   [ anon ]
00007fe720000000  65536K rw---   [ anon ]
00007fe724000000  65536K rw---   [ anon ]
00007fe728000000 131032K rw---   [ anon ]
00007fe72fff6000     40K -----   [ anon ]
00007fe734000000  65536K rw---   [ anon ]
00007fe73c000000  65536K rw---   [ anon ]
00007fe740000000  62956K rw---   [ anon ]
00007fe743d7b000   2580K -----   [ anon ]
00007fe744000000  57484K rw---   [ anon ]
00007fe747823000   8052K -----   [ anon ]
00007fe748000000  65536K rw---   [ anon ]
00007fe74c000000  65536K rw---   [ anon ]
00007fe754000000  65536K rw---   [ anon ]
00007fe758000000  65536K rw---   [ anon ]
00007fe75c000000  65536K rw---   [ anon ]
00007fe764000000  65536K rw---   [ anon ]
00007fe76c000000 131072K rw---   [ anon ]
00007fe774000000  65536K rw---   [ anon ]
00007fe778000000 131072K rw---   [ anon ]
00007fe784000000  65536K rw---   [ anon ]
00007fe788000000  65536K rw---   [ anon ]
00007fe78c000000 131072K rw---   [ anon ]
00007fe794000000  65536K rw---   [ anon ]
00007fe798000000  65536K rw---   [ anon ]
00007fe79c000000  65536K rw---   [ anon ]
00007fe7a0000000  65536K rw---   [ anon ]
00007fe7a8000000  65536K rw---   [ anon ]
00007fe7ac000000  65536K rw---   [ anon ]
00007fe7b0000000  65536K rw---   [ anon ]
00007fe7b4000000  65536K rw---   [ anon ]
00007fe7bc000000  65536K rw---   [ anon ]
00007fe7c0000000  65536K rw---   [ anon ]
00007fe7c4000000  65536K rw---   [ anon ]
00007fe7c8000000  65536K rw---   [ anon ]
00007fe7cc000000  65536K rw---   [ anon ]
00007fe7d0000000  65536K rw---   [ anon ]
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00007feed4021000  65404K -----   [ anon ]
00007feed8000000    132K rw---   [ anon ]
00007feed8021000  65404K -----   [ anon ]
00007feedc000000    132K rw---   [ anon ]
00007feedc021000  65404K -----   [ anon ]
00007feee0000000    132K rw---   [ anon ]
00007feee0021000  65404K -----   [ anon ]
00007feee4000000    132K rw---   [ anon ]
00007feee4021000  65404K -----   [ anon ]
00007feee8000000    132K rw---   [ anon ]
00007feee8021000  65404K -----   [ anon ]
00007feeec000000    132K rw---   [ anon ]
00007feeec021000  65404K -----   [ anon ]
00007feef0000000    132K rw---   [ anon ]
00007feef0021000  65404K -----   [ anon ]
00007feef4000000  65536K rw---   [ anon ]
00007feef85ef000      4K -----   [ anon ]
00007feef85f0000   2048K rw---   [ anon ]
00007feef87f0000      4K -----   [ anon ]
00007feef87f1000   8192K rw---   [ anon ]
00007feef8ff1000      4K -----   [ anon ]
00007feef8ff2000   8192K rw---   [ anon ]
00007feef97f2000      4K -----   [ anon ]
00007feef97f3000   8192K rw---   [ anon ]
00007feef9ff3000      4K -----   [ anon ]
00007feef9ff4000   8192K rw---   [ anon ]
00007feefa7f4000      4K -----   [ anon ]
00007feefa7f5000   2048K rw---   [ anon ]
00007feefa9f5000      4K -----   [ anon ]
00007feefa9f6000   2048K rw---   [ anon ]
00007feefabf6000      4K -----   [ anon ]
00007feefabf7000   2048K rw---   [ anon ]
00007feefadf7000      4K -----   [ anon ]
00007feefadf8000   2048K rw---   [ anon ]
00007feefaff8000      4K -----   [ anon ]
00007feefaff9000   2048K rw---   [ anon ]
00007feefb1f9000      4K -----   [ anon ]
00007feefb1fa000   2048K rw---   [ anon ]
00007feefb3fa000      4K -----   [ anon ]
00007feefb3fb000   2048K rw---   [ anon ]
00007feefb5fb000      4K -----   [ anon ]
00007feefb5fc000   2048K rw---   [ anon ]
00007feefb7fc000      4K -----   [ anon ]
00007feefb7fd000   2048K rw---   [ anon ]
00007feefb9fd000      4K -----   [ anon ]
00007feefb9fe000   2048K rw---   [ anon ]
00007feefbbfe000      4K -----   [ anon ]
00007feefbbff000   2048K rw---   [ anon ]
00007feefbdff000      4K -----   [ anon ]
00007feefbe00000   2048K rw---   [ anon ]
00007feefc000000    132K rw---   [ anon ]
00007feefc021000  65404K -----   [ anon ]
00007fef001e4000      4K -----   [ anon ]
00007fef001e5000   2048K rw---   [ anon ]
00007fef003e5000      4K -----   [ anon ]
00007fef003e6000   2048K rw---   [ anon ]
00007fef005e6000      4K -----   [ anon ]
00007fef005e7000   2048K rw---   [ anon ]
00007fef007e7000      4K -----   [ anon ]
00007fef007e8000   2048K rw---   [ anon ]
00007fef009e8000      4K -----   [ anon ]
00007fef009e9000   2048K rw---   [ anon ]
00007fef00be9000      4K -----   [ anon ]
00007fef00bea000   2048K rw---   [ anon ]
00007fef00dea000      4K -----   [ anon ]
00007fef00deb000   2048K rw---   [ anon ]
00007fef00feb000      4K -----   [ anon ]
00007fef00fec000   2048K rw---   [ anon ]
00007fef011ec000      4K -----   [ anon ]
00007fef011ed000   2048K rw---   [ anon ]
00007fef013ed000      4K -----   [ anon ]
00007fef013ee000   2048K rw---   [ anon ]
00007fef015ee000      4K -----   [ anon ]
00007fef015ef000   2048K rw---   [ anon ]
00007fef017ef000      4K -----   [ anon ]
00007fef017f0000   2048K rw---   [ anon ]
00007fef019f0000      4K -----   [ anon ]
00007fef019f1000   2048K rw---   [ anon ]
00007fef01bf1000      4K -----   [ anon ]
00007fef01bf2000   2048K rw---   [ anon ]
00007fef01df2000      4K -----   [ anon ]
00007fef01df3000   2048K rw---   [ anon ]
00007fef01ff3000      4K -----   [ anon ]
00007fef01ff4000   2048K rw---   [ anon ]
00007fef021f4000      4K -----   [ anon ]
00007fef021f5000   2048K rw---   [ anon ]
00007fef023f5000      4K -----   [ anon ]
00007fef023f6000   2048K rw---   [ anon ]
00007fef025f6000      4K -----   [ anon ]
00007fef025f7000   2048K rw---   [ anon ]
00007fef027f7000      4K -----   [ anon ]
00007fef027f8000   2048K rw---   [ anon ]
00007fef029f8000      4K -----   [ anon ]
00007fef029f9000   2048K rw---   [ anon ]
00007fef02bf9000      4K -----   [ anon ]
00007fef02bfa000   2048K rw---   [ anon ]
00007fef02dfa000      4K -----   [ anon ]
00007fef02dfb000   2048K rw---   [ anon ]
00007fef02ffb000      4K -----   [ anon ]
00007fef02ffc000   2048K rw---   [ anon ]
00007fef031fc000      4K -----   [ anon ]
00007fef031fd000   2048K rw---   [ anon ]
00007fef033fd000      4K -----   [ anon ]
00007fef033fe000   2048K rw---   [ anon ]
00007fef035fe000      4K -----   [ anon ]
00007fef035ff000   2048K rw---   [ anon ]
00007fef037ff000      4K -----   [ anon ]
00007fef03800000   2048K rw---   [ anon ]
00007fef03a00000   1804K r-x-- /usr/lib64/libc-2.17.so
00007fef03bc3000   2048K ----- /usr/lib64/libc-2.17.so
00007fef03dc3000     16K r---- /usr/lib64/libc-2.17.so
00007fef03dc7000      8K rw--- /usr/lib64/libc-2.17.so
00007fef03dc9000     20K rw---   [ anon ]
00007fef03dce000      8K r-x-- /usr/lib64/libdl-2.17.so
00007fef03dd0000   2048K ----- /usr/lib64/libdl-2.17.so
00007fef03fd0000      4K r---- /usr/lib64/libdl-2.17.so
00007fef03fd1000      4K rw--- /usr/lib64/libdl-2.17.so
00007fef03fd2000   1028K r-x-- /usr/lib64/libm-2.17.so
00007fef040d3000   2044K ----- /usr/lib64/libm-2.17.so
00007fef042d2000      4K r---- /usr/lib64/libm-2.17.so
00007fef042d3000      4K rw--- /usr/lib64/libm-2.17.so
00007fef042d4000     92K r-x-- /usr/lib64/libpthread-2.17.so
00007fef042eb000   2044K ----- /usr/lib64/libpthread-2.17.so
00007fef044ea000      4K r---- /usr/lib64/libpthread-2.17.so
00007fef044eb000      4K rw--- /usr/lib64/libpthread-2.17.so
00007fef044ec000     16K rw---   [ anon ]
00007fef044f0000     28K r-x-- /usr/lib64/librt-2.17.so
00007fef044f7000   2044K ----- /usr/lib64/librt-2.17.so
00007fef046f6000      4K r---- /usr/lib64/librt-2.17.so
00007fef046f7000      4K rw--- /usr/lib64/librt-2.17.so
00007fef046f8000     84K r-x-- /usr/lib64/libgcc_s-4.8.5-20150702.so.1
00007fef0470d000   2044K ----- /usr/lib64/libgcc_s-4.8.5-20150702.so.1
00007fef0490c000      4K r---- /usr/lib64/libgcc_s-4.8.5-20150702.so.1
00007fef0490d000      4K rw--- /usr/lib64/libgcc_s-4.8.5-20150702.so.1
00007fef0490e000    932K r-x-- /usr/lib64/libstdc++.so.6.0.19
00007fef049f7000   2044K ----- /usr/lib64/libstdc++.so.6.0.19
00007fef04bf6000     32K r---- /usr/lib64/libstdc++.so.6.0.19
00007fef04bfe000      8K rw--- /usr/lib64/libstdc++.so.6.0.19
00007fef04c00000     84K rw---   [ anon ]
00007fef04c15000     88K r-x-- /usr/lib64/libresolv-2.17.so
00007fef04c2b000   2044K ----- /usr/lib64/libresolv-2.17.so
00007fef04e2a000      4K r---- /usr/lib64/libresolv-2.17.so
00007fef04e2b000      4K rw--- /usr/lib64/libresolv-2.17.so
00007fef04e2c000      8K rw---   [ anon ]
00007fef04e2e000    136K r-x-- /usr/lib64/ld-2.17.so
00007fef04edf000    212K r--s- /var/db/nscd/hosts
00007fef04f14000    232K rw---   [ anon ]
00007fef04f58000    448K rw---   [ anon ]
00007fef04fc8000      4K -----   [ anon ]
00007fef04fc9000      8K rw---   [ anon ]
00007fef04fcb000      4K -----   [ anon ]
00007fef04fcc000      8K rw---   [ anon ]
00007fef04fce000      4K -----   [ anon ]
00007fef04fcf000      8K rw---   [ anon ]
00007fef04fd1000      4K -----   [ anon ]
00007fef04fd2000      8K rw---   [ anon ]
00007fef04fd4000      4K -----   [ anon ]
00007fef04fd5000      8K rw---   [ anon ]
00007fef04fd7000      4K -----   [ anon ]
00007fef04fd8000      8K rw---   [ anon ]
00007fef04fda000      4K -----   [ anon ]
00007fef04fdb000      8K rw---   [ anon ]
00007fef04fdd000      4K -----   [ anon ]
00007fef04fde000      8K rw---   [ anon ]
00007fef04fe0000      4K -----   [ anon ]
00007fef04fe1000      8K rw---   [ anon ]
00007fef04fe3000      4K -----   [ anon ]
00007fef04fe4000      8K rw---   [ anon ]
00007fef04fe6000      4K -----   [ anon ]
00007fef04fe7000      8K rw---   [ anon ]
00007fef04fe9000      4K -----   [ anon ]
00007fef04fea000      8K rw---   [ anon ]
00007fef04fec000      4K -----   [ anon ]
00007fef04fed000      8K rw---   [ anon ]
00007fef04fef000      4K -----   [ anon ]
00007fef04ff0000      8K rw---   [ anon ]
00007fef04ff2000      4K -----   [ anon ]
00007fef04ff3000      8K rw---   [ anon ]
00007fef04ff5000      4K -----   [ anon ]
00007fef04ff6000      8K rw---   [ anon ]
00007fef04ff8000      4K -----   [ anon ]
00007fef04ff9000      8K rw---   [ anon ]
00007fef04ffb000      4K -----   [ anon ]
00007fef04ffc000      8K rw---   [ anon ]
00007fef04ffe000      4K -----   [ anon ]
00007fef04fff000      8K rw---   [ anon ]
00007fef05001000      4K -----   [ anon ]
00007fef05002000      8K rw---   [ anon ]
00007fef05004000      4K -----   [ anon ]
00007fef05005000      8K rw---   [ anon ]
00007fef05007000      4K -----   [ anon ]
00007fef05008000      8K rw---   [ anon ]
00007fef0500a000      4K -----   [ anon ]
00007fef0500b000      8K rw---   [ anon ]
00007fef0500d000      4K -----   [ anon ]
00007fef0500e000      8K rw---   [ anon ]
00007fef05010000      4K -----   [ anon ]
00007fef05011000      8K rw---   [ anon ]
00007fef05013000      4K -----   [ anon ]
00007fef05014000      8K rw---   [ anon ]
00007fef05016000      4K -----   [ anon ]
00007fef05017000      8K rw---   [ anon ]
00007fef05019000      4K -----   [ anon ]
00007fef0501a000      8K rw---   [ anon ]
00007fef0501c000      4K -----   [ anon ]
00007fef0501d000      8K rw---   [ anon ]
00007fef0501f000      4K -----   [ anon ]
00007fef05020000      8K rw---   [ anon ]
00007fef05022000      4K -----   [ anon ]
00007fef05023000      8K rw---   [ anon ]
00007fef05025000      4K -----   [ anon ]
00007fef05026000      8K rw---   [ anon ]
00007fef05028000      4K -----   [ anon ]
00007fef05029000      8K rw---   [ anon ]
00007fef0502b000      4K -----   [ anon ]
00007fef0502c000      8K rw---   [ anon ]
00007fef0502e000      4K -----   [ anon ]
00007fef0502f000      8K rw---   [ anon ]
00007fef05031000      4K -----   [ anon ]
00007fef05032000      8K rw---   [ anon ]
00007fef05034000      4K -----   [ anon ]
00007fef05035000     52K rw---   [ anon ]
00007fef05042000      4K -----   [ anon ]
00007fef05043000      8K rw---   [ anon ]
00007fef05045000      4K -----   [ anon ]
00007fef05046000      8K rw---   [ anon ]
00007fef05048000      4K -----   [ anon ]
00007fef05049000      8K rw---   [ anon ]
00007fef0504b000      4K -----   [ anon ]
00007fef0504c000     12K rw---   [ anon ]
00007fef0504f000      4K r---- /usr/lib64/ld-2.17.so
00007fef05050000      4K rw--- /usr/lib64/ld-2.17.so
00007fef05051000      4K rw---   [ anon ]
00007ffea87aa000    132K rw---   [ stack ]
00007ffea87cb000      8K r-x--   [ anon ]
ffffffffff600000      4K r-x--   [ anon ]
 total         45479012K

[jszwedko]

Hi @valerypetrov ! Thanks for this report and apologies for the delayed response. I'm curious if you still see the same behavior on Vector 0.17.3. There were some changes to the aws_s3 sink in 0.17 that should result in better behavior.

Do you have a rough idea of how many different values you should see for component_type? Each batch should be roughly 50 MB. If you had, say, commonly 10000 different values for that field, that would give you roughly 50 GB of memory usage.

I'm also curious what led you to believe that it is the in-memory buffer that is the culprit. Do you see better behavior using the disk buffer?

[valerypetrov]

@jszwedko , hey. The different values in component type are not more than 150-200. We've also tried the disk buffer. But it was really slow as a turtle. The overall performance degradation with disk buffer was about 2x times. (we've tested it with fast SSD and checked that the hardware was not the issue)

I want to say that with a huge in-memory buffer looks like that vector didn't delete the events from memory that were already sent to the s3 sink.

[jszwedko]

Hey @valerypetrov !

Gotcha, then yeah, seemingly the batching is not consuming more than 10 GB.

Yeah, the disk buffers do introduce significant overhead since every event has to be written to disk before it is processed. We are currently working on a few improvements there though: rewriting the disk buffer implementation to be Vector specific and thus more performant (we currently leverage leveldb for this which isn't really what it was built for) and adding in the concept of "overflow" buffers to only write events to disk if an in-memory buffer is full.

I want to say that with a huge in-memory buffer looks like that vector didn't delete the events from memory that were already sent to the s3 sink.

Yeah, that does seem like it could match the symptoms you are seeing, but we haven't seen that isn't a known issue so, if that is the case, it seems likely something specific to the configuration here.

Would you want to try with 0.17.3 just to see if you see the same behavior? As I mentioned that sink was completely rewritten and has better performance characteristics in that version.

If you don't see an improvement, could you provide some example messages and I could try to run your pipeline to see if I can reproduce?

[valerypetrov]

Hey, @jszwedko .

vector --version
vector 0.12.2 (v0.12.2 x86_64-unknown-linux-gnu 2021-03-30)

vector --version
vector 0.17.3 (x86_64-unknown-linux-musl d72c6e7 2021-10-21)

The configuration files were the same. It looks like that vector 0.12.2 is more performant than vector 0.17.3

[3JIou-home]

hi, it's situation looks like on my situation config

[sources.socket_logs]
type = "socket"
address = "127.0.0.1:1234"
max_length = 102400
mode = "udp"
decoding.codec = "syslog"

[transforms.repam_nginx_access_logs]
type = "remap"
inputs = ["socket_logs"]
drop_on_error = true
source = """
  . = parse_json!(.message)
  .remote_addr = ip_subnet!(.remote_addr, "/24")
  del(.remote_port)
  del(.time_iso8601)
"""

[transforms.metrics_nginx_access_logs]
type = "log_to_metric"
inputs = [ "repam_nginx_access_logs" ]

  [[transforms.metrics_nginx_access_logs.metrics]]
  field = "status"
  name = "request_total"
  type = "counter"
  tags.host = "${HOSTNAME}"
  tags.dc = "alakt"
  tags.project = "kolesa"
  tags.type = "strg_frontend"
  tags.job = "vector"
  tags.status = "{{status}}"
  tags.geoip_country_code = "{{ geoip_city_country_code }}"
  tags.geoip_city = "{{ geoip_city }}"

  [[transforms.metrics_nginx_access_logs.metrics]]
  type = "histogram"
  field = "request_time"
  name = "http_response_time_seconds"
  tags.host = "${HOSTNAME}"
  tags.dc = "alakt"
  tags.project = "kolesa"
  tags.type = "strg_frontend"
  tags.job = "vector"
  tags.geoip_country_code = "{{ geoip_city_country_code }}"
  tags.geoip_city = "{{ geoip_city }}"

[transforms.nginx_access_logs_remove_fields]
type = "remove_fields"
inputs = ["repam_nginx_access_logs"]
fields = ["_CMDLINE", "source_type", "_AUDIT_LOGINUID", "_AUDIT_SESSION", "_BOOT_ID", "_CAP_EFFECTIVE", "_EXE", "_MACHINE_ID", "_PID", "_SELINUX_CONTEXT", "_STREAM_ID", "_SYSTEMD_CGROUP", "_SYSTEMD_INVOCATION_ID", "_SYSTEMD_UNIT", "_TRANSPORT", "_UID", "__MONOTONIC_TIMESTAMP", "__REALTIME_TIMESTAMP", "_GID"]

[sources.nginx_error_logs]
type = "file"
include = ["/var/log/nginx/*error.log"]
glob_minimum_cooldown = 10000
max_line_bytes = 102400
file_key = "file"
host_key = "hostname"
max_read_bytes = 20480
ignore_older_secs = 600
start_at_beginning = false

[transforms.repam_nginx_error_logs]
type = "remap"
inputs = ["nginx_error_logs"]
drop_on_error = true
source = """
  . = parse_nginx_log!(.messages, "error")
"""
[sources.internal_vector]
type = "internal_metrics"
scrape_interval_secs = 5

[transforms.add_tags_internal_vector]
type = "add_tags"
inputs = [ "internal_vector" ]
  [transforms.add_tags_internal_vector.tags]
  source = "kolesa-phc2.alakt.kz.prod.bash.kz"

[sinks.loki]
type = "loki"
encoding.codec = "logfmt"
inputs = [ "nginx_access_logs_remove_fields", "repam_nginx_error_logs" ]
batch.timeout_secs = 60
batch.max_events = 1000
buffer.max_events  = 1000
#buffer.type = "disk"
request.concurrency = 10
request.rate_limit_duration_secs = 1
request.rate_limit_num = 10
request.retry_attempts = 1
out_of_order_action = "rewrite_timestamp"
endpoint = "http://loki.kolesa-team.org"
healthcheck.enabled = false
labels.log_type = "vector"
labels.source = "{{ hostname }}"
labels.type = "strg_frontend"
labels.dc = "alakt"
labels.project = "kolesa"
labels.request_method = "{{ request_method }}"
labels.status = "{{ status }}"
labels.server_name = "{{ server_name }}"
labels.geoip_country_code = "{{ geoip_city_country_code }}"
labels.geoip_city = "{{ geoip_city }}"

[sinks.metrics_for_prometheus]
type = "prometheus_exporter"
inputs = [ "metrics_nginx_access_logs", "add_tags_internal_vector" ]
address = "1.2.3.4:9080"
default_namespace = "service"

[api]
enabled = true
address = "127.0.0.1:8686"

version: ii vector 0.18.1

graphs buffer in-memory buffer on disk

[3JIou-home]

as u see it's like be between two fires

[zamazan4ik]

@valerypetrov @3JIou-home Do you still have the issues with Vectors' memory consumption with the latest Vector versions? For us it is kinda important since we are investigating using Vector for our log pipeline.

[3JIou-home]

ok, i check and send u results

[3JIou-home]

remove_fields - removed? that i can use instead?

[3JIou-home]

remove_fields - removed? that i can use instead?

x unknown variant remove_fields, expected one of aggregate, aws_ec2_metadata, dedupe, filter, geoip, log_to_metric, lua, metric_to_log, pipeline, pipelines, reduce, remap, route, sample, sampler, swimlanes, tag_cardinality_limit, throttle for key transforms.nginx_access_logs_remove_fields

[spencergilbert]

remove_fields - removed? that i can use instead?

x unknown variant remove_fields, expected one of aggregate, aws_ec2_metadata, dedupe, filter, geoip, log_to_metric, lua, metric_to_log, pipeline, pipelines, reduce, remap, route, sample, sampler, swimlanes, tag_cardinality_limit, throttle for key transforms.nginx_access_logs_remove_fields

remove_fields was fully removed in 0.24: https://vector.dev/highlights/2022-08-16-0-24-0-upgrade-guide/#deprecated-transforms

[3JIou-home]

remove_fields - removed? that i can use instead?

x unknown variant remove_fields, expected one of aggregate, aws_ec2_metadata, dedupe, filter, geoip, log_to_metric, lua, metric_to_log, pipeline, pipelines, reduce, remap, route, sample, sampler, swimlanes, tag_cardinality_limit, throttle for key transforms.nginx_access_logs_remove_fields

remove_fields was fully removed in 0.24: https://vector.dev/highlights/2022-08-16-0-24-0-upgrade-guide/#deprecated-transforms

this link help me, and i run test on memory leak

[3JIou-home]

remove_fields - removed? that i can use instead?

x unknown variant remove_fields, expected one of aggregate, aws_ec2_metadata, dedupe, filter, geoip, log_to_metric, lua, metric_to_log, pipeline, pipelines, reduce, remap, route, sample, sampler, swimlanes, tag_cardinality_limit, throttle for key transforms.nginx_access_logs_remove_fields

remove_fields was fully removed in 0.24: https://vector.dev/highlights/2022-08-16-0-24-0-upgrade-guide/#deprecated-transforms

this link help me, and i run test on memory leak

https://take.ms/KwB0D

looks like use more ram, but stable

[3JIou-home]

in my case bug was resolved

[jszwedko]

Closing since we couldn't reproduce this and it is not clear if it is still an issue with the latest version of Vector which doesn't have some of these deprecated transforms. Please drop a comment here if you are still seeing this behavior.