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## Problem close https://github.com/neondatabase/neon/issues/4712 ## Summary of changes Previously, when flushing frozen layers, it was split into two operations: add delta layer to disk + remove frozen layer from memory. This would cause a short period of time where we will have the same data both in frozen and delta layer. In this PR, we merge them into one atomic operation in layer map manager, therefore simplifying the code. Note that if we decide to create image layers for L0 flush, it will still be split into two operations on layer map. --------- Signed-off-by: Alex Chi Z <chi@neon.tech> Co-authored-by: Joonas Koivunen <joonas@neon.tech>
101 lines
3.7 KiB
Python
101 lines
3.7 KiB
Python
from fixtures.log_helper import log
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from fixtures.neon_fixtures import NeonEnvBuilder
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from fixtures.types import TimelineId
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from fixtures.utils import query_scalar
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#
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# Create ancestor branches off the main branch.
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#
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def test_ancestor_branch(neon_env_builder: NeonEnvBuilder):
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env = neon_env_builder.init_start()
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pageserver_http = env.pageserver.http_client()
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# Override defaults: 4M checkpoint_distance, disable background compaction and gc.
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tenant, _ = env.neon_cli.create_tenant(
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conf={
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"checkpoint_distance": "4194304",
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"gc_period": "0s",
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"compaction_period": "0s",
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}
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)
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pageserver_http.configure_failpoints(("flush-frozen-pausable", "sleep(10000)"))
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endpoint_branch0 = env.endpoints.create_start("main", tenant_id=tenant)
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branch0_cur = endpoint_branch0.connect().cursor()
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branch0_timeline = TimelineId(query_scalar(branch0_cur, "SHOW neon.timeline_id"))
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log.info(f"b0 timeline {branch0_timeline}")
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# Create table, and insert 100k rows.
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branch0_lsn = query_scalar(branch0_cur, "SELECT pg_current_wal_insert_lsn()")
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log.info(f"b0 at lsn {branch0_lsn}")
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branch0_cur.execute("CREATE TABLE foo (t text) WITH (autovacuum_enabled = off)")
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branch0_cur.execute(
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"""
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INSERT INTO foo
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SELECT '00112233445566778899AABBCCDDEEFF' || ':branch0:' || g
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FROM generate_series(1, 100000) g
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"""
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)
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lsn_100 = query_scalar(branch0_cur, "SELECT pg_current_wal_insert_lsn()")
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log.info(f"LSN after 100k rows: {lsn_100}")
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# Create branch1.
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env.neon_cli.create_branch("branch1", "main", tenant_id=tenant, ancestor_start_lsn=lsn_100)
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endpoint_branch1 = env.endpoints.create_start("branch1", tenant_id=tenant)
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log.info("postgres is running on 'branch1' branch")
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branch1_cur = endpoint_branch1.connect().cursor()
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branch1_timeline = TimelineId(query_scalar(branch1_cur, "SHOW neon.timeline_id"))
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log.info(f"b1 timeline {branch1_timeline}")
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branch1_lsn = query_scalar(branch1_cur, "SELECT pg_current_wal_insert_lsn()")
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log.info(f"b1 at lsn {branch1_lsn}")
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# Insert 100k rows.
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branch1_cur.execute(
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"""
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INSERT INTO foo
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SELECT '00112233445566778899AABBCCDDEEFF' || ':branch1:' || g
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FROM generate_series(1, 100000) g
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"""
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)
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lsn_200 = query_scalar(branch1_cur, "SELECT pg_current_wal_insert_lsn()")
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log.info(f"LSN after 200k rows: {lsn_200}")
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# Create branch2.
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env.neon_cli.create_branch("branch2", "branch1", tenant_id=tenant, ancestor_start_lsn=lsn_200)
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endpoint_branch2 = env.endpoints.create_start("branch2", tenant_id=tenant)
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log.info("postgres is running on 'branch2' branch")
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branch2_cur = endpoint_branch2.connect().cursor()
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branch2_timeline = TimelineId(query_scalar(branch2_cur, "SHOW neon.timeline_id"))
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log.info(f"b2 timeline {branch2_timeline}")
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branch2_lsn = query_scalar(branch2_cur, "SELECT pg_current_wal_insert_lsn()")
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log.info(f"b2 at lsn {branch2_lsn}")
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# Insert 100k rows.
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branch2_cur.execute(
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"""
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INSERT INTO foo
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SELECT '00112233445566778899AABBCCDDEEFF' || ':branch2:' || g
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FROM generate_series(1, 100000) g
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"""
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)
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lsn_300 = query_scalar(branch2_cur, "SELECT pg_current_wal_insert_lsn()")
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log.info(f"LSN after 300k rows: {lsn_300}")
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# Run compaction on branch1.
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compact = f"compact {tenant} {branch1_timeline}"
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log.info(compact)
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pageserver_http.timeline_compact(tenant, branch1_timeline)
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assert query_scalar(branch0_cur, "SELECT count(*) FROM foo") == 100000
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assert query_scalar(branch1_cur, "SELECT count(*) FROM foo") == 200000
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assert query_scalar(branch2_cur, "SELECT count(*) FROM foo") == 300000
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