From 9ec75499fcfcf65e799e135c3b40ff5a02ee48cc Mon Sep 17 00:00:00 2001 From: Adrian Serrano Date: Mon, 17 Aug 2020 10:21:41 +0200 Subject: [PATCH] Cherry-pick #20540 to 7.x: Fix Winlogbeat export index-pattern with migration.6_to_7.enabled (#20574) * Test export commands in all Beats (#20016) This adds 4 new integration tests to all Beats that test export commands: > beatname export ilm-policy > beatname export template > beatname export index-pattern > beatname export config * [Filebeat] Add export tests to x-pack/filebeat (#20156) * Add export tests to x-pack/filebeat Add export sub-command tests to x-pack/filebeat and add an assertion for the size the Kibana index-pattern due to the Kibana API limiting payloads to 1 MiB. * Assert size of index pattern document is less than 1 MiB * Fix Winlogbeat export index-pattern with migration.6_to_7.enabled (#20540) - Test export index-pattern with migration.6_to_7.enabled=true - Always run these tests, not only when integration testing - Remove conflicting Winlogbeat alias * Changelog entry Co-authored-by: Andrew Kroh --- CHANGELOG.next.asciidoc | 3 +- auditbeat/tests/system/test_base.py | 3 +- filebeat/tests/system/filebeat.py | 2 +- filebeat/tests/system/test_base.py | 3 +- heartbeat/tests/system/test_base.py | 3 +- journalbeat/tests/system/test_base.py | 3 +- libbeat/tests/system/beat/common_tests.py | 80 +++++++++++++++++++ libbeat/tests/system/test_base.py | 3 +- metricbeat/tests/system/test_base.py | 3 +- packetbeat/tests/system/test_base.py | 11 +++ winlogbeat/_meta/fields.common.yml | 5 -- winlogbeat/docs/fields.asciidoc | 9 --- winlogbeat/include/fields.go | 2 +- winlogbeat/tests/system/test_config.py | 3 +- .../tests/system/test_filebeat_xpack.py | 30 +++++++ x-pack/functionbeat/tests/system/test_base.py | 3 +- 16 files changed, 141 insertions(+), 25 deletions(-) create mode 100644 libbeat/tests/system/beat/common_tests.py create mode 100644 packetbeat/tests/system/test_base.py create mode 100644 x-pack/filebeat/tests/system/test_filebeat_xpack.py diff --git a/CHANGELOG.next.asciidoc b/CHANGELOG.next.asciidoc index 16d54c8a10d..e5db74d89c9 100644 --- a/CHANGELOG.next.asciidoc +++ b/CHANGELOG.next.asciidoc @@ -371,7 +371,8 @@ field. You can revert this change by configuring tags for the module and omittin *Winlogbeat* -- Fix invalid IP addresses in DNS query results from Sysmon data. {issue}18432[18432] {pull}18436{18436} +- Fix invalid IP addresses in DNS query results from Sysmon data. {issue}18432[18432] {pull}18436[18436] +- Fix duplicated field error when exporting index-pattern with migration.6_to_7.enabled. {issue}20521[20521] {pull}20540[20540] *Functionbeat* diff --git a/auditbeat/tests/system/test_base.py b/auditbeat/tests/system/test_base.py index 8a15d004df9..8dfa64f8ac3 100644 --- a/auditbeat/tests/system/test_base.py +++ b/auditbeat/tests/system/test_base.py @@ -6,9 +6,10 @@ from auditbeat import * from elasticsearch import Elasticsearch from beat.beat import INTEGRATION_TESTS +from beat import common_tests -class Test(BaseTest): +class Test(BaseTest, common_tests.TestExportsMixin): def test_start_stop(self): """ Auditbeat starts and stops without error. diff --git a/filebeat/tests/system/filebeat.py b/filebeat/tests/system/filebeat.py index 52d6ea0fdda..32902e3b321 100644 --- a/filebeat/tests/system/filebeat.py +++ b/filebeat/tests/system/filebeat.py @@ -18,7 +18,7 @@ def setUpClass(self): if not hasattr(self, "beat_name"): self.beat_name = "filebeat" if not hasattr(self, "beat_path"): - self.beat_path = os.path.abspath(os.path.join(curdir, "../../")) + self.beat_path = os.path.abspath(os.path.join(os.path.dirname(__file__), "../../")) super(BaseTest, self).setUpClass() diff --git a/filebeat/tests/system/test_base.py b/filebeat/tests/system/test_base.py index 80394e0a34e..2b73a0165a7 100644 --- a/filebeat/tests/system/test_base.py +++ b/filebeat/tests/system/test_base.py @@ -3,9 +3,10 @@ from filebeat import BaseTest from elasticsearch import Elasticsearch from beat.beat import INTEGRATION_TESTS +from beat import common_tests -class Test(BaseTest): +class Test(BaseTest, common_tests.TestExportsMixin): def test_base(self): """ diff --git a/heartbeat/tests/system/test_base.py b/heartbeat/tests/system/test_base.py index 876c9ee43dd..3a2218e0d13 100644 --- a/heartbeat/tests/system/test_base.py +++ b/heartbeat/tests/system/test_base.py @@ -4,9 +4,10 @@ from heartbeat import BaseTest from elasticsearch import Elasticsearch from beat.beat import INTEGRATION_TESTS +from beat import common_tests -class Test(BaseTest): +class Test(BaseTest, common_tests.TestExportsMixin): def test_base(self): """ diff --git a/journalbeat/tests/system/test_base.py b/journalbeat/tests/system/test_base.py index ad3c133a422..2d7269dd5f4 100644 --- a/journalbeat/tests/system/test_base.py +++ b/journalbeat/tests/system/test_base.py @@ -6,9 +6,10 @@ import time import yaml from shutil import copyfile +from beat import common_tests -class Test(BaseTest): +class Test(BaseTest, common_tests.TestExportsMixin): @unittest.skipUnless(sys.platform.startswith("linux"), "Journald only on Linux") def test_start_with_local_journal(self): diff --git a/libbeat/tests/system/beat/common_tests.py b/libbeat/tests/system/beat/common_tests.py new file mode 100644 index 00000000000..dd128029977 --- /dev/null +++ b/libbeat/tests/system/beat/common_tests.py @@ -0,0 +1,80 @@ +import json +import unittest +import yaml + +from beat.beat import INTEGRATION_TESTS + + +class TestExportsMixin: + + def run_export_cmd(self, cmd, extra=[]): + """ + Runs the given export command and returns the output as a string. + Raises an exception if the command fails. + :param cmd: the export command + :param extra: Extra arguments (optional) + :return: The output as a string. + """ + self.render_config_template() + + args = ["export", cmd] + if len(extra) != 0: + args += extra + exit_code = self.run_beat(extra_args=args, logging_args=[]) + assert exit_code == 0 + output = self.get_log() + trailer = "\nPASS\n" + pos = output.rfind(trailer) + if pos == -1: + raise Exception("didn't return expected trailer:{} got:{}".format( + trailer.__repr__(), + output[-100:].__repr__())) + return output[:pos] + + def test_export_ilm_policy(self): + """ + Test that the ilm-policy can be exported with `export ilm-policy` + """ + output = self.run_export_cmd("ilm-policy") + js = json.loads(output) + assert "policy" in js + + def test_export_template(self): + """ + Test that the template can be exported with `export template` + """ + output = self.run_export_cmd("template") + js = json.loads(output) + assert "index_patterns" in js and "mappings" in js + + def test_export_index_pattern(self): + """ + Test that the index-pattern can be exported with `export index-pattern` + """ + output = self.run_export_cmd("index-pattern") + js = json.loads(output) + assert "objects" in js + size = len(output.encode('utf-8')) + assert size < 1024*1024, "Kibana index pattern must be less than 1MiB " \ + "to keep the Beat setup request size below " \ + "Kibana's server.maxPayloadBytes." + + def test_export_index_pattern_migration(self): + """ + Test that the index-pattern can be exported with `export index-pattern` (migration enabled) + """ + output = self.run_export_cmd("index-pattern", extra=['-E', 'migration.6_to_7.enabled=true']) + js = json.loads(output) + assert "objects" in js + size = len(output.encode('utf-8')) + assert size < 1024*1024, "Kibana index pattern must be less than 1MiB " \ + "to keep the Beat setup request size below " \ + "Kibana's server.maxPayloadBytes." + + def test_export_config(self): + """ + Test that the config can be exported with `export config` + """ + output = self.run_export_cmd("config") + yml = yaml.load(output) + assert isinstance(yml, dict) diff --git a/libbeat/tests/system/test_base.py b/libbeat/tests/system/test_base.py index 10fe859bf1e..330b831041a 100644 --- a/libbeat/tests/system/test_base.py +++ b/libbeat/tests/system/test_base.py @@ -1,4 +1,5 @@ from base import BaseTest +from beat import common_tests import json import os @@ -9,7 +10,7 @@ import unittest -class Test(BaseTest): +class Test(BaseTest, common_tests.TestExportsMixin): def test_base(self): """ diff --git a/metricbeat/tests/system/test_base.py b/metricbeat/tests/system/test_base.py index c54be3244eb..db7d37f6320 100644 --- a/metricbeat/tests/system/test_base.py +++ b/metricbeat/tests/system/test_base.py @@ -7,11 +7,12 @@ from metricbeat import BaseTest +from beat import common_tests from beat.beat import INTEGRATION_TESTS from elasticsearch import Elasticsearch -class Test(BaseTest): +class Test(BaseTest, common_tests.TestExportsMixin): COMPOSE_SERVICES = ['elasticsearch', 'kibana'] diff --git a/packetbeat/tests/system/test_base.py b/packetbeat/tests/system/test_base.py new file mode 100644 index 00000000000..959d36b3911 --- /dev/null +++ b/packetbeat/tests/system/test_base.py @@ -0,0 +1,11 @@ +import os +import sys +from packetbeat import BaseTest + +sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '../../../libbeat/tests/system'))) + +from beat import common_tests + + +class Test(BaseTest, common_tests.TestExportsMixin): + pass diff --git a/winlogbeat/_meta/fields.common.yml b/winlogbeat/_meta/fields.common.yml index 02c1d508cfb..3a399300f1e 100644 --- a/winlogbeat/_meta/fields.common.yml +++ b/winlogbeat/_meta/fields.common.yml @@ -508,11 +508,6 @@ path: winlog.user.identifier migration: true - - name: user.domain - type: alias - path: winlog.user.domain - migration: true - - name: user.type type: alias path: winlog.user.type diff --git a/winlogbeat/docs/fields.asciidoc b/winlogbeat/docs/fields.asciidoc index aa8fb9762d9..0447795cf9a 100644 --- a/winlogbeat/docs/fields.asciidoc +++ b/winlogbeat/docs/fields.asciidoc @@ -7202,15 +7202,6 @@ alias to: winlog.user.identifier -- -*`user.domain`*:: -+ --- -type: alias - -alias to: winlog.user.domain - --- - *`user.type`*:: + -- diff --git a/winlogbeat/include/fields.go b/winlogbeat/include/fields.go index 40c4454d9f2..4f3d68bdee4 100644 --- a/winlogbeat/include/fields.go +++ b/winlogbeat/include/fields.go @@ -32,5 +32,5 @@ func init() { // AssetBuildFieldsFieldsCommonYml returns asset data. // This is the base64 encoded gzipped contents of build/fields/fields.common.yml. func AssetBuildFieldsFieldsCommonYml() string { - return 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" + return "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" } diff --git a/winlogbeat/tests/system/test_config.py b/winlogbeat/tests/system/test_config.py index 16862bf44f9..18df0594fca 100644 --- a/winlogbeat/tests/system/test_config.py +++ b/winlogbeat/tests/system/test_config.py @@ -3,6 +3,7 @@ import sys import unittest from winlogbeat import BaseTest +from beat import common_tests """ Contains tests for config parsing. @@ -10,7 +11,7 @@ @unittest.skipUnless(sys.platform.startswith("win"), "requires Windows") -class Test(BaseTest): +class Test(BaseTest, common_tests.TestExportsMixin): def test_valid_config(self): """ diff --git a/x-pack/filebeat/tests/system/test_filebeat_xpack.py b/x-pack/filebeat/tests/system/test_filebeat_xpack.py new file mode 100644 index 00000000000..1890498fd0a --- /dev/null +++ b/x-pack/filebeat/tests/system/test_filebeat_xpack.py @@ -0,0 +1,30 @@ +import jinja2 +import os +import sys + +sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '../../../../filebeat/tests/system'))) + +from filebeat import BaseTest as FilebeatTest +from beat import common_tests + + +class FilebeatXPackTest(FilebeatTest, common_tests.TestExportsMixin): + + @classmethod + def setUpClass(self): + self.beat_name = "filebeat" + self.beat_path = os.path.abspath( + os.path.join(os.path.dirname(__file__), "../../")) + + super(FilebeatTest, self).setUpClass() + + def setUp(self): + super(FilebeatTest, self).setUp() + + # Hack to make jinja2 have the right paths + self.template_env = jinja2.Environment( + loader=jinja2.FileSystemLoader([ + os.path.abspath(os.path.join(self.beat_path, "../../filebeat")), + os.path.abspath(os.path.join(self.beat_path, "../../libbeat")) + ]) + ) diff --git a/x-pack/functionbeat/tests/system/test_base.py b/x-pack/functionbeat/tests/system/test_base.py index b351ed63340..895d23d4c3e 100644 --- a/x-pack/functionbeat/tests/system/test_base.py +++ b/x-pack/functionbeat/tests/system/test_base.py @@ -3,9 +3,10 @@ import json import os import unittest +from beat import common_tests -class Test(BaseTest): +class Test(BaseTest, common_tests.TestExportsMixin): @unittest.skip("temporarily disabled") def test_base(self): """