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  1. Debezium
  2. DBZ-1118

Data from Postgres partitioned table written to wrong topic during snapshot

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      DB Schema

      create table public.dbz_repo
(
  user_id       bigint           not null,
  sequence_id   bigint           not null,
  longitude     double precision not null,
  latitude      double precision not null,
  created_by_id bigint           not null,
  client_ts     timestamp        not null,
  server_ts     timestamp        not null,
  type          varchar(50)      not null
)
  partition by RANGE (user_id);

create table public.dbz_repo_1_500
  partition of public.dbz_repo
    (
    constraint dbz_repo_1_500_pkey
      primary key (user_id, sequence_id)
    )
    FOR VALUES FROM ('1') TO ('501');

create table public.dbz_repo_501_1000
  partition of public.dbz_repo
    (
    constraint dbz_repo_501_1000_pkey
      primary key (user_id, sequence_id)
    )
    FOR VALUES FROM ('501') TO ('1001');

create table public.dbz_repo_1001_1500
  partition of public.dbz_repo
    (
    constraint dbz_repo_1001_1500_pkey
      primary key (user_id, sequence_id)
    )
    FOR VALUES FROM ('1001') TO ('1501');


create table public.dbz_repo_1501_2000
  partition of public.dbz_repo
    (
    constraint dbz_repo_1501_2000_pkey
      primary key (user_id, sequence_id)
    )
    FOR VALUES FROM ('1501') TO ('2001');

      DB Inserts

      insert into dbz_repo
(user_id, sequence_id, longitude, latitude, created_by_id, client_ts, server_ts, type)
select random() * 1999 + 1, random() * 1540277658018 + 1, random() * 180, random() * 180, random() * 1999 + 1, now(), now(), 'abcdefg'
from generate_series(1, 2000000);

      Debezium config

      {
    "name": "debezium_repo",
    "config": {
      "connector.class": "io.debezium.connector.postgresql.PostgresConnector",
      "plugin.name": "wal2json_rds_streaming",
      "database.hostname": "<HOST>.rds.amazonaws.com",
      "database.port": "5432",
      "database.user": "debezium",
      "database.password": "<PASSWORD>",
      "database.dbname" : "nextgeo",
      "database.server.name": "debezium,
      "decimal.handling.mode": "string",
      "hstore.handling.mode": "json",
      "tombstones.on.delete": false,
      "table.whitelist": ".*dbz.*",
      "slot.name": "debezium_repo"
    }
}

      Python comparison script

      import psycopg2
from kafka import KafkaConsumer

psql_host = "<HOST>.rds.amazonaws.com"
psql_user = "debezium"
psql_pass = "<PASSWORD>"
psql_db = "debezium"

db = psycopg2.connect(host=psql_host, database=psql_db, user=psql_user, password=psql_pass)

cur = db.cursor()

tables = []

cur.execute("""SELECT table_name
FROM information_schema.tables
WHERE table_type='BASE TABLE'
AND table_schema='public'
AND table_name LIKE '%dbz%'
ORDER BY table_name;""")

for row in cur.fetchall():
    tables.append(row[0])

print("table | rows_in_db | records_in_topic | diff")

for table in tables:

    cur.execute("select count(*) from " + table)
    rows = cur.fetchone()[0]

    consumer = KafkaConsumer("debezium.public." + table,
                             bootstrap_servers=["kafka:9092"],
                             enable_auto_commit=False,
                             consumer_timeout_ms=10000,
                             auto_offset_reset="earliest",
                             group_id=None)

    count = 0
    for _ in consumer:
        count += 1

    diff = rows - count

    print(table + " | " + str(rows) + " | " + str(count) + " | " + str(diff))

db.close()
      Show
      DB Schema create table public .dbz_repo ( user_id bigint not null , sequence_id bigint not null , longitude double precision not null , latitude double precision not null , created_by_id bigint not null , client_ts timestamp not null , server_ts timestamp not null , type varchar (50) not null ) partition by RANGE (user_id); create table public .dbz_repo_1_500 partition of public .dbz_repo ( constraint dbz_repo_1_500_pkey primary key (user_id, sequence_id) ) FOR VALUES FROM ( '1' ) TO ( '501' ); create table public .dbz_repo_501_1000 partition of public .dbz_repo ( constraint dbz_repo_501_1000_pkey primary key (user_id, sequence_id) ) FOR VALUES FROM ( '501' ) TO ( '1001' ); create table public .dbz_repo_1001_1500 partition of public .dbz_repo ( constraint dbz_repo_1001_1500_pkey primary key (user_id, sequence_id) ) FOR VALUES FROM ( '1001' ) TO ( '1501' ); create table public .dbz_repo_1501_2000 partition of public .dbz_repo ( constraint dbz_repo_1501_2000_pkey primary key (user_id, sequence_id) ) FOR VALUES FROM ( '1501' ) TO ( '2001' ); DB Inserts insert into dbz_repo (user_id, sequence_id, longitude, latitude, created_by_id, client_ts, server_ts, type ) select random() * 1999 + 1, random() * 1540277658018 + 1, random() * 180, random() * 180, random() * 1999 + 1, now(), now(), 'abcdefg' from generate_series(1, 2000000); Debezium config { "name" : "debezium_repo" , "config" : { "connector.class" : "io.debezium.connector.postgresql.PostgresConnector" , "plugin.name" : "wal2json_rds_streaming" , "database.hostname" : "<HOST>.rds.amazonaws.com" , "database.port" : "5432" , "database.user" : "debezium" , "database.password" : "<PASSWORD>" , "database.dbname" : "nextgeo" , "database.server.name" : "debezium, "decimal.handling.mode" : "string" , "hstore.handling.mode" : "json" , "tombstones.on. delete " : false , "table.whitelist" : ".*dbz.*" , "slot.name" : "debezium_repo" } } Python comparison script import psycopg2 from kafka import KafkaConsumer psql_host = "<HOST>.rds.amazonaws.com" psql_user = "debezium" psql_pass = "<PASSWORD>" psql_db = "debezium" db = psycopg2.connect(host=psql_host, database=psql_db, user=psql_user, password=psql_pass) cur = db.cursor() tables = [] cur.execute("""SELECT table_name FROM information_schema.tables WHERE table_type= 'BASE TABLE' AND table_schema= 'public' AND table_name LIKE '%dbz%' ORDER BY table_name;""") for row in cur.fetchall(): tables.append(row[0]) print ( "table | rows_in_db | records_in_topic | diff" ) for table in tables: cur.execute( "select count(*) from " + table) rows = cur.fetchone()[0] consumer = KafkaConsumer( "debezium.public." + table, bootstrap_servers=[ "kafka:9092" ], enable_auto_commit= False , consumer_timeout_ms=10000, auto_offset_reset= "earliest" , group_id= None ) count = 0 for _ in consumer: count += 1 diff = rows - count print (table + " | " + str (rows) + " | " + str (count) + " | " + str (diff)) db.close()

    Description

      Overview

      During a snapshot phase, when reading from a partitioned postgres table, rows from the parent partition table are written to a topic for a derived table.

      As described further in the reproduction notes below, let's create a parent partition named `dbz_repo` and two partition tables named `dbz_repo_1_500` and `dbz_repo_501_1000`. Next we insert random records into the partitioned tables and kick off a debezium snapshot phase.

      After the snapshot completes, the `dbz_repo` topic contains 0 records, while the `dbz_repo_1_500` contains N records from the `dbz_repo_1_500` table PLUS M records from the `dbz_repo` table (i.e. an additionally copy of `dbz_repo_1_500` and everything from `dbz_repo_501_1000`). The `dbz_repo_501_1000` is the only correct topic, containing only a single copy of all rows of the source table.

      Logs

      During snapshotting there are errors related to flush failures, but otherwise look clean:

      [2019-01-31 18:40:59,085] ERROR WorkerSourceTask

      {id=debezium_repo-0} Failed to flush, timed out while waiting for producer to flush outstanding 29175 messages (org.apache.kafka.connect.runtime.WorkerSourceTask)
      [2019-01-31 18:40:59,091] ERROR WorkerSourceTask{id=debezium_repo-0}

      Failed to commit offsets (org.apache.kafka.connect.runtime.SourceTaskOffsetCommitter)

      Comparison output sample

      Attached below is a small python script to compare the number of records in the database tables to the number of records in each topic. Here's sample output for a run:

      table rows_in_db records_in_topic diff
      dbz_repo 2000000 0 2000000
      dbz_repo_1001_1500 500077 500077 0
      dbz_repo_1_500 499596 2499596 -2000000
      dbz_repo_1501_2000 499529 499529 0
      dbz_repo_501_1000 500798 500798 0

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            kppullin Kevin Pullin (Inactive)
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              Created:
              Updated:
              Resolved: