Adding Map type tests in TestFlows

This commit is contained in:
Vitaliy Zakaznikov 2021-02-22 15:04:34 -05:00
parent 6946514c0b
commit d1f8f52f16
27 changed files with 4295 additions and 0 deletions

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<yandex>
<timezone>Europe/Moscow</timezone>
<listen_host replace="replace">::</listen_host>
<path>/var/lib/clickhouse/</path>
<tmp_path>/var/lib/clickhouse/tmp/</tmp_path>
</yandex>

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<yandex>
<shutdown_wait_unfinished>3</shutdown_wait_unfinished>
<logger>
<level>trace</level>
<log>/var/log/clickhouse-server/log.log</log>
<errorlog>/var/log/clickhouse-server/log.err.log</errorlog>
<size>1000M</size>
<count>10</count>
<stderr>/var/log/clickhouse-server/stderr.log</stderr>
<stdout>/var/log/clickhouse-server/stdout.log</stdout>
</logger>
<part_log>
<database>system</database>
<table>part_log</table>
<flush_interval_milliseconds>500</flush_interval_milliseconds>
</part_log>
</yandex>

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<?xml version="1.0"?>
<yandex>
<https_port>8443</https_port>
<tcp_port_secure>9440</tcp_port_secure>
</yandex>

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<?xml version="1.0"?>
<yandex>
<remote_servers>
<replicated_cluster>
<shard>
<internal_replication>true</internal_replication>
<replica>
<host>clickhouse1</host>
<port>9000</port>
</replica>
<replica>
<host>clickhouse2</host>
<port>9000</port>
</replica>
<replica>
<host>clickhouse3</host>
<port>9000</port>
</replica>
</shard>
</replicated_cluster>
<!--
<replicated_cluster_readonly>
<shard>
<internal_replication>true</internal_replication>
<replica>
<host>clickhouse1</host>
<port>9000</port>
<user>readonly</user>
</replica>
<replica>
<host>clickhouse2</host>
<port>9000</port>
<user>readonly</user>
</replica>
<replica>
<host>clickhouse3</host>
<port>9000</port>
<user>readonly</user>
</replica>
</shard>
</replicated_cluster_readonly>
-->
<replicated_cluster_secure>
<shard>
<internal_replication>true</internal_replication>
<replica>
<host>clickhouse1</host>
<port>9440</port>
<secure>1</secure>
</replica>
<replica>
<host>clickhouse2</host>
<port>9440</port>
<secure>1</secure>
</replica>
<replica>
<host>clickhouse3</host>
<port>9440</port>
<secure>1</secure>
</replica>
</shard>
</replicated_cluster_secure>
<cluster1>
<shard>
<replica>
<host>clickhouse1</host>
<port>9440</port>
<secure>1</secure>
</replica>
</shard>
</cluster1>
<sharded_cluster12>
<shard>
<replica>
<host>clickhouse1</host>
<port>9000</port>
</replica>
</shard>
<shard>
<replica>
<host>clickhouse2</host>
<port>9000</port>
</replica>
</shard>
</sharded_cluster12>
<one_shard_cluster12>
<shard>
<replica>
<host>clickhouse1</host>
<port>9000</port>
</replica>
<replica>
<host>clickhouse2</host>
<port>9000</port>
</replica>
</shard>
</one_shard_cluster12>
<sharded_cluster23>
<shard>
<replica>
<host>clickhouse2</host>
<port>9000</port>
</replica>
</shard>
<shard>
<replica>
<host>clickhouse3</host>
<port>9000</port>
</replica>
</shard>
</sharded_cluster23>
<one_shard_cluster23>
<shard>
<replica>
<host>clickhouse2</host>
<port>9000</port>
</replica>
<replica>
<host>clickhouse3</host>
<port>9000</port>
</replica>
</shard>
</one_shard_cluster23>
<sharded_cluster>
<shard>
<replica>
<host>clickhouse1</host>
<port>9000</port>
</replica>
</shard>
<shard>
<replica>
<host>clickhouse2</host>
<port>9000</port>
</replica>
</shard>
<shard>
<replica>
<host>clickhouse3</host>
<port>9000</port>
</replica>
</shard>
</sharded_cluster>
<one_shard_cluster>
<shard>
<replica>
<host>clickhouse1</host>
<port>9000</port>
</replica>
<replica>
<host>clickhouse2</host>
<port>9000</port>
</replica>
<replica>
<host>clickhouse3</host>
<port>9000</port>
</replica>
</shard>
</one_shard_cluster>
<sharded_cluster_secure>
<shard>
<replica>
<host>clickhouse1</host>
<port>9440</port>
<secure>1</secure>
</replica>
</shard>
<shard>
<replica>
<host>clickhouse2</host>
<port>9440</port>
<secure>1</secure>
</replica>
</shard>
<shard>
<replica>
<host>clickhouse3</host>
<port>9440</port>
<secure>1</secure>
</replica>
</shard>
</sharded_cluster_secure>
<sharded_cluster_secure_long_usernames>
<shard>
<internal_replication>true</internal_replication>
<replica>
<host>clickhouse1</host>
<port>9440</port>
<secure>1</secure>
<!-- i'm simulateing the problem here with long username, but it happens also when there are a lot of servers in cluster -->
<user>user_with_a_very_very_very_very_long_name_we_will_use_him_to_simulate_the_problem_with_inserting_to_distributed_when_folder_name_is_too_long_i_hope_that_length_is_enough_username_end</user>
<password></password>
</replica>
<replica>
<host>clickhouse2</host>
<port>9440</port>
<secure>1</secure>
<user>user_with_a_very_very_very_very_long_name_we_will_use_him_to_simulate_the_problem_with_inserting_to_distributed_when_folder_name_is_too_long_i_hope_that_length_is_enough_username_end</user>
<password></password>
</replica>
<replica>
<host>clickhouse3</host>
<port>9440</port>
<secure>1</secure>
<user>user_with_a_very_very_very_very_long_name_we_will_use_him_to_simulate_the_problem_with_inserting_to_distributed_when_folder_name_is_too_long_i_hope_that_length_is_enough_username_end</user>
<password></password>
</replica>
</shard>
</sharded_cluster_secure_long_usernames>
</remote_servers>
</yandex>

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<yandex>
<openSSL>
<server>
<certificateFile>/etc/clickhouse-server/ssl/server.crt</certificateFile>
<privateKeyFile>/etc/clickhouse-server/ssl/server.key</privateKeyFile>
<dhParamsFile>/etc/clickhouse-server/ssl/dhparam.pem</dhParamsFile>
<verificationMode>none</verificationMode>
<cacheSessions>true</cacheSessions>
</server>
<client>
<cacheSessions>true</cacheSessions>
<verificationMode>none</verificationMode>
<invalidCertificateHandler>
<name>AcceptCertificateHandler</name>
</invalidCertificateHandler>
</client>
</openSSL>
</yandex>

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<yandex>
<storage_configuration>
<disks>
<default>
<keep_free_space_bytes>1024</keep_free_space_bytes>
</default>
</disks>
<policies>
<default>
<volumes>
<default>
<disk>default</disk>
</default>
</volumes>
</default>
</policies>
</storage_configuration>
</yandex>

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<?xml version="1.0"?>
<yandex>
<zookeeper>
<node index="1">
<host>zookeeper</host>
<port>2181</port>
</node>
<session_timeout_ms>15000</session_timeout_ms>
</zookeeper>
</yandex>

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<?xml version="1.0"?>
<!--
NOTE: User and query level settings are set up in "users.xml" file.
-->
<yandex>
<logger>
<!-- Possible levels: https://github.com/pocoproject/poco/blob/develop/Foundation/include/Poco/Logger.h#L105 -->
<level>trace</level>
<log>/var/log/clickhouse-server/clickhouse-server.log</log>
<errorlog>/var/log/clickhouse-server/clickhouse-server.err.log</errorlog>
<size>1000M</size>
<count>10</count>
<!-- <console>1</console> --> <!-- Default behavior is autodetection (log to console if not daemon mode and is tty) -->
</logger>
<!--display_name>production</display_name--> <!-- It is the name that will be shown in the client -->
<http_port>8123</http_port>
<tcp_port>9000</tcp_port>
<!-- For HTTPS and SSL over native protocol. -->
<!--
<https_port>8443</https_port>
<tcp_port_secure>9440</tcp_port_secure>
-->
<!-- Used with https_port and tcp_port_secure. Full ssl options list: https://github.com/ClickHouse-Extras/poco/blob/master/NetSSL_OpenSSL/include/Poco/Net/SSLManager.h#L71 -->
<openSSL>
<server> <!-- Used for https server AND secure tcp port -->
<!-- openssl req -subj "/CN=localhost" -new -newkey rsa:2048 -days 365 -nodes -x509 -keyout /etc/clickhouse-server/server.key -out /etc/clickhouse-server/server.crt -->
<certificateFile>/etc/clickhouse-server/server.crt</certificateFile>
<privateKeyFile>/etc/clickhouse-server/server.key</privateKeyFile>
<!-- openssl dhparam -out /etc/clickhouse-server/dhparam.pem 4096 -->
<dhParamsFile>/etc/clickhouse-server/dhparam.pem</dhParamsFile>
<verificationMode>none</verificationMode>
<loadDefaultCAFile>true</loadDefaultCAFile>
<cacheSessions>true</cacheSessions>
<disableProtocols>sslv2,sslv3</disableProtocols>
<preferServerCiphers>true</preferServerCiphers>
</server>
<client> <!-- Used for connecting to https dictionary source -->
<loadDefaultCAFile>true</loadDefaultCAFile>
<cacheSessions>true</cacheSessions>
<disableProtocols>sslv2,sslv3</disableProtocols>
<preferServerCiphers>true</preferServerCiphers>
<!-- Use for self-signed: <verificationMode>none</verificationMode> -->
<invalidCertificateHandler>
<!-- Use for self-signed: <name>AcceptCertificateHandler</name> -->
<name>RejectCertificateHandler</name>
</invalidCertificateHandler>
</client>
</openSSL>
<!-- Default root page on http[s] server. For example load UI from https://tabix.io/ when opening http://localhost:8123 -->
<!--
<http_server_default_response><![CDATA[<html ng-app="SMI2"><head><base href="http://ui.tabix.io/"></head><body><div ui-view="" class="content-ui"></div><script src="http://loader.tabix.io/master.js"></script></body></html>]]></http_server_default_response>
-->
<!-- Port for communication between replicas. Used for data exchange. -->
<interserver_http_port>9009</interserver_http_port>
<!-- Hostname that is used by other replicas to request this server.
If not specified, than it is determined analoguous to 'hostname -f' command.
This setting could be used to switch replication to another network interface.
-->
<!--
<interserver_http_host>example.yandex.ru</interserver_http_host>
-->
<!-- Listen specified host. use :: (wildcard IPv6 address), if you want to accept connections both with IPv4 and IPv6 from everywhere. -->
<!-- <listen_host>::</listen_host> -->
<!-- Same for hosts with disabled ipv6: -->
<listen_host>0.0.0.0</listen_host>
<!-- Default values - try listen localhost on ipv4 and ipv6: -->
<!--
<listen_host>::1</listen_host>
<listen_host>127.0.0.1</listen_host>
-->
<!-- Don't exit if ipv6 or ipv4 unavailable, but listen_host with this protocol specified -->
<!-- <listen_try>0</listen_try> -->
<!-- Allow listen on same address:port -->
<!-- <listen_reuse_port>0</listen_reuse_port> -->
<!-- <listen_backlog>64</listen_backlog> -->
<max_connections>4096</max_connections>
<keep_alive_timeout>3</keep_alive_timeout>
<!-- Maximum number of concurrent queries. -->
<max_concurrent_queries>100</max_concurrent_queries>
<!-- Set limit on number of open files (default: maximum). This setting makes sense on Mac OS X because getrlimit() fails to retrieve
correct maximum value. -->
<!-- <max_open_files>262144</max_open_files> -->
<!-- Size of cache of uncompressed blocks of data, used in tables of MergeTree family.
In bytes. Cache is single for server. Memory is allocated only on demand.
Cache is used when 'use_uncompressed_cache' user setting turned on (off by default).
Uncompressed cache is advantageous only for very short queries and in rare cases.
-->
<uncompressed_cache_size>8589934592</uncompressed_cache_size>
<!-- Approximate size of mark cache, used in tables of MergeTree family.
In bytes. Cache is single for server. Memory is allocated only on demand.
You should not lower this value.
-->
<mark_cache_size>5368709120</mark_cache_size>
<!-- Path to data directory, with trailing slash. -->
<path>/var/lib/clickhouse/</path>
<!-- Path to temporary data for processing hard queries. -->
<tmp_path>/var/lib/clickhouse/tmp/</tmp_path>
<!-- Directory with user provided files that are accessible by 'file' table function. -->
<user_files_path>/var/lib/clickhouse/user_files/</user_files_path>
<!-- Path to folder where users and roles created by SQL commands are stored. -->
<access_control_path>/var/lib/clickhouse/access/</access_control_path>
<!-- Sources to read users, roles, access rights, profiles of settings, quotas. -->
<user_directories>
<users_xml>
<!-- Path to configuration file with predefined users. -->
<path>users.xml</path>
</users_xml>
<local_directory>
<!-- Path to folder where users created by SQL commands are stored. -->
<path>/var/lib/clickhouse/access/</path>
</local_directory>
</user_directories>
<!-- Path to configuration file with users, access rights, profiles of settings, quotas. -->
<users_config>users.xml</users_config>
<!-- Default profile of settings. -->
<default_profile>default</default_profile>
<!-- System profile of settings. This settings are used by internal processes (Buffer storage, Distibuted DDL worker and so on). -->
<!-- <system_profile>default</system_profile> -->
<!-- Default database. -->
<default_database>default</default_database>
<!-- Server time zone could be set here.
Time zone is used when converting between String and DateTime types,
when printing DateTime in text formats and parsing DateTime from text,
it is used in date and time related functions, if specific time zone was not passed as an argument.
Time zone is specified as identifier from IANA time zone database, like UTC or Africa/Abidjan.
If not specified, system time zone at server startup is used.
Please note, that server could display time zone alias instead of specified name.
Example: W-SU is an alias for Europe/Moscow and Zulu is an alias for UTC.
-->
<!-- <timezone>Europe/Moscow</timezone> -->
<!-- You can specify umask here (see "man umask"). Server will apply it on startup.
Number is always parsed as octal. Default umask is 027 (other users cannot read logs, data files, etc; group can only read).
-->
<!-- <umask>022</umask> -->
<!-- Perform mlockall after startup to lower first queries latency
and to prevent clickhouse executable from being paged out under high IO load.
Enabling this option is recommended but will lead to increased startup time for up to a few seconds.
-->
<mlock_executable>false</mlock_executable>
<!-- Configuration of clusters that could be used in Distributed tables.
https://clickhouse.yandex/docs/en/table_engines/distributed/
-->
<remote_servers incl="clickhouse_remote_servers" >
<!-- Test only shard config for testing distributed storage -->
<test_shard_localhost>
<shard>
<replica>
<host>localhost</host>
<port>9000</port>
</replica>
</shard>
</test_shard_localhost>
<test_cluster_two_shards_localhost>
<shard>
<replica>
<host>localhost</host>
<port>9000</port>
</replica>
</shard>
<shard>
<replica>
<host>localhost</host>
<port>9000</port>
</replica>
</shard>
</test_cluster_two_shards_localhost>
<test_shard_localhost_secure>
<shard>
<replica>
<host>localhost</host>
<port>9440</port>
<secure>1</secure>
</replica>
</shard>
</test_shard_localhost_secure>
<test_unavailable_shard>
<shard>
<replica>
<host>localhost</host>
<port>9000</port>
</replica>
</shard>
<shard>
<replica>
<host>localhost</host>
<port>1</port>
</replica>
</shard>
</test_unavailable_shard>
</remote_servers>
<!-- If element has 'incl' attribute, then for it's value will be used corresponding substitution from another file.
By default, path to file with substitutions is /etc/metrika.xml. It could be changed in config in 'include_from' element.
Values for substitutions are specified in /yandex/name_of_substitution elements in that file.
-->
<!-- ZooKeeper is used to store metadata about replicas, when using Replicated tables.
Optional. If you don't use replicated tables, you could omit that.
See https://clickhouse.yandex/docs/en/table_engines/replication/
-->
<zookeeper incl="zookeeper-servers" optional="true" />
<!-- Substitutions for parameters of replicated tables.
Optional. If you don't use replicated tables, you could omit that.
See https://clickhouse.yandex/docs/en/table_engines/replication/#creating-replicated-tables
-->
<macros incl="macros" optional="true" />
<!-- Reloading interval for embedded dictionaries, in seconds. Default: 3600. -->
<builtin_dictionaries_reload_interval>3600</builtin_dictionaries_reload_interval>
<!-- Maximum session timeout, in seconds. Default: 3600. -->
<max_session_timeout>3600</max_session_timeout>
<!-- Default session timeout, in seconds. Default: 60. -->
<default_session_timeout>60</default_session_timeout>
<!-- Sending data to Graphite for monitoring. Several sections can be defined. -->
<!--
interval - send every X second
root_path - prefix for keys
hostname_in_path - append hostname to root_path (default = true)
metrics - send data from table system.metrics
events - send data from table system.events
asynchronous_metrics - send data from table system.asynchronous_metrics
-->
<!--
<graphite>
<host>localhost</host>
<port>42000</port>
<timeout>0.1</timeout>
<interval>60</interval>
<root_path>one_min</root_path>
<hostname_in_path>true</hostname_in_path>
<metrics>true</metrics>
<events>true</events>
<asynchronous_metrics>true</asynchronous_metrics>
</graphite>
<graphite>
<host>localhost</host>
<port>42000</port>
<timeout>0.1</timeout>
<interval>1</interval>
<root_path>one_sec</root_path>
<metrics>true</metrics>
<events>true</events>
<asynchronous_metrics>false</asynchronous_metrics>
</graphite>
-->
<!-- Query log. Used only for queries with setting log_queries = 1. -->
<query_log>
<!-- What table to insert data. If table is not exist, it will be created.
When query log structure is changed after system update,
then old table will be renamed and new table will be created automatically.
-->
<database>system</database>
<table>query_log</table>
<!--
PARTITION BY expr https://clickhouse.yandex/docs/en/table_engines/custom_partitioning_key/
Example:
event_date
toMonday(event_date)
toYYYYMM(event_date)
toStartOfHour(event_time)
-->
<partition_by>toYYYYMM(event_date)</partition_by>
<!-- Interval of flushing data. -->
<flush_interval_milliseconds>7500</flush_interval_milliseconds>
</query_log>
<!-- Trace log. Stores stack traces collected by query profilers.
See query_profiler_real_time_period_ns and query_profiler_cpu_time_period_ns settings. -->
<trace_log>
<database>system</database>
<table>trace_log</table>
<partition_by>toYYYYMM(event_date)</partition_by>
<flush_interval_milliseconds>7500</flush_interval_milliseconds>
</trace_log>
<!-- Query thread log. Has information about all threads participated in query execution.
Used only for queries with setting log_query_threads = 1. -->
<query_thread_log>
<database>system</database>
<table>query_thread_log</table>
<partition_by>toYYYYMM(event_date)</partition_by>
<flush_interval_milliseconds>7500</flush_interval_milliseconds>
</query_thread_log>
<!-- Uncomment if use part log.
Part log contains information about all actions with parts in MergeTree tables (creation, deletion, merges, downloads).
<part_log>
<database>system</database>
<table>part_log</table>
<flush_interval_milliseconds>7500</flush_interval_milliseconds>
</part_log>
-->
<!-- Uncomment to write text log into table.
Text log contains all information from usual server log but stores it in structured and efficient way.
<text_log>
<database>system</database>
<table>text_log</table>
<flush_interval_milliseconds>7500</flush_interval_milliseconds>
</text_log>
-->
<!-- Parameters for embedded dictionaries, used in Yandex.Metrica.
See https://clickhouse.yandex/docs/en/dicts/internal_dicts/
-->
<!-- Path to file with region hierarchy. -->
<!-- <path_to_regions_hierarchy_file>/opt/geo/regions_hierarchy.txt</path_to_regions_hierarchy_file> -->
<!-- Path to directory with files containing names of regions -->
<!-- <path_to_regions_names_files>/opt/geo/</path_to_regions_names_files> -->
<!-- Configuration of external dictionaries. See:
https://clickhouse.yandex/docs/en/dicts/external_dicts/
-->
<dictionaries_config>*_dictionary.xml</dictionaries_config>
<!-- Uncomment if you want data to be compressed 30-100% better.
Don't do that if you just started using ClickHouse.
-->
<compression incl="clickhouse_compression">
<!--
<!- - Set of variants. Checked in order. Last matching case wins. If nothing matches, lz4 will be used. - ->
<case>
<!- - Conditions. All must be satisfied. Some conditions may be omitted. - ->
<min_part_size>10000000000</min_part_size> <!- - Min part size in bytes. - ->
<min_part_size_ratio>0.01</min_part_size_ratio> <!- - Min size of part relative to whole table size. - ->
<!- - What compression method to use. - ->
<method>zstd</method>
</case>
-->
</compression>
<!-- Allow to execute distributed DDL queries (CREATE, DROP, ALTER, RENAME) on cluster.
Works only if ZooKeeper is enabled. Comment it if such functionality isn't required. -->
<distributed_ddl>
<!-- Path in ZooKeeper to queue with DDL queries -->
<path>/clickhouse/task_queue/ddl</path>
<!-- Settings from this profile will be used to execute DDL queries -->
<!-- <profile>default</profile> -->
</distributed_ddl>
<!-- Settings to fine tune MergeTree tables. See documentation in source code, in MergeTreeSettings.h -->
<!--
<merge_tree>
<max_suspicious_broken_parts>5</max_suspicious_broken_parts>
</merge_tree>
-->
<!-- Protection from accidental DROP.
If size of a MergeTree table is greater than max_table_size_to_drop (in bytes) than table could not be dropped with any DROP query.
If you want do delete one table and don't want to restart clickhouse-server, you could create special file <clickhouse-path>/flags/force_drop_table and make DROP once.
By default max_table_size_to_drop is 50GB; max_table_size_to_drop=0 allows to DROP any tables.
The same for max_partition_size_to_drop.
Uncomment to disable protection.
-->
<!-- <max_table_size_to_drop>0</max_table_size_to_drop> -->
<!-- <max_partition_size_to_drop>0</max_partition_size_to_drop> -->
<!-- Example of parameters for GraphiteMergeTree table engine -->
<graphite_rollup_example>
<pattern>
<regexp>click_cost</regexp>
<function>any</function>
<retention>
<age>0</age>
<precision>3600</precision>
</retention>
<retention>
<age>86400</age>
<precision>60</precision>
</retention>
</pattern>
<default>
<function>max</function>
<retention>
<age>0</age>
<precision>60</precision>
</retention>
<retention>
<age>3600</age>
<precision>300</precision>
</retention>
<retention>
<age>86400</age>
<precision>3600</precision>
</retention>
</default>
</graphite_rollup_example>
<!-- Directory in <clickhouse-path> containing schema files for various input formats.
The directory will be created if it doesn't exist.
-->
<format_schema_path>/var/lib/clickhouse/format_schemas/</format_schema_path>
<!-- Uncomment to disable ClickHouse internal DNS caching. -->
<!-- <disable_internal_dns_cache>1</disable_internal_dns_cache> -->
</yandex>

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@ -0,0 +1,8 @@
-----BEGIN DH PARAMETERS-----
MIIBCAKCAQEAua92DDli13gJ+//ZXyGaggjIuidqB0crXfhUlsrBk9BV1hH3i7fR
XGP9rUdk2ubnB3k2ejBStL5oBrkHm9SzUFSQHqfDjLZjKoUpOEmuDc4cHvX1XTR5
Pr1vf5cd0yEncJWG5W4zyUB8k++SUdL2qaeslSs+f491HBLDYn/h8zCgRbBvxhxb
9qeho1xcbnWeqkN6Kc9bgGozA16P9NLuuLttNnOblkH+lMBf42BSne/TWt3AlGZf
slKmmZcySUhF8aKfJnLKbkBCFqOtFRh8zBA9a7g+BT/lSANATCDPaAk1YVih2EKb
dpc3briTDbRsiqg2JKMI7+VdULY9bh3EawIBAg==
-----END DH PARAMETERS-----

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@ -0,0 +1,19 @@
-----BEGIN CERTIFICATE-----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-----END CERTIFICATE-----

View File

@ -0,0 +1,28 @@
-----BEGIN PRIVATE KEY-----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-----END PRIVATE KEY-----

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@ -0,0 +1,133 @@
<?xml version="1.0"?>
<yandex>
<!-- Profiles of settings. -->
<profiles>
<!-- Default settings. -->
<default>
<!-- Maximum memory usage for processing single query, in bytes. -->
<max_memory_usage>10000000000</max_memory_usage>
<!-- Use cache of uncompressed blocks of data. Meaningful only for processing many of very short queries. -->
<use_uncompressed_cache>0</use_uncompressed_cache>
<!-- How to choose between replicas during distributed query processing.
random - choose random replica from set of replicas with minimum number of errors
nearest_hostname - from set of replicas with minimum number of errors, choose replica
with minimum number of different symbols between replica's hostname and local hostname
(Hamming distance).
in_order - first live replica is chosen in specified order.
first_or_random - if first replica one has higher number of errors, pick a random one from replicas with minimum number of errors.
-->
<load_balancing>random</load_balancing>
</default>
<!-- Profile that allows only read queries. -->
<readonly>
<readonly>1</readonly>
</readonly>
</profiles>
<!-- Users and ACL. -->
<users>
<!-- If user name was not specified, 'default' user is used. -->
<default>
<!-- Password could be specified in plaintext or in SHA256 (in hex format).
If you want to specify password in plaintext (not recommended), place it in 'password' element.
Example: <password>qwerty</password>.
Password could be empty.
If you want to specify SHA256, place it in 'password_sha256_hex' element.
Example: <password_sha256_hex>65e84be33532fb784c48129675f9eff3a682b27168c0ea744b2cf58ee02337c5</password_sha256_hex>
Restrictions of SHA256: impossibility to connect to ClickHouse using MySQL JS client (as of July 2019).
If you want to specify double SHA1, place it in 'password_double_sha1_hex' element.
Example: <password_double_sha1_hex>e395796d6546b1b65db9d665cd43f0e858dd4303</password_double_sha1_hex>
How to generate decent password:
Execute: PASSWORD=$(base64 < /dev/urandom | head -c8); echo "$PASSWORD"; echo -n "$PASSWORD" | sha256sum | tr -d '-'
In first line will be password and in second - corresponding SHA256.
How to generate double SHA1:
Execute: PASSWORD=$(base64 < /dev/urandom | head -c8); echo "$PASSWORD"; echo -n "$PASSWORD" | openssl dgst -sha1 -binary | openssl dgst -sha1
In first line will be password and in second - corresponding double SHA1.
-->
<password></password>
<!-- List of networks with open access.
To open access from everywhere, specify:
<ip>::/0</ip>
To open access only from localhost, specify:
<ip>::1</ip>
<ip>127.0.0.1</ip>
Each element of list has one of the following forms:
<ip> IP-address or network mask. Examples: 213.180.204.3 or 10.0.0.1/8 or 10.0.0.1/255.255.255.0
2a02:6b8::3 or 2a02:6b8::3/64 or 2a02:6b8::3/ffff:ffff:ffff:ffff::.
<host> Hostname. Example: server01.yandex.ru.
To check access, DNS query is performed, and all received addresses compared to peer address.
<host_regexp> Regular expression for host names. Example, ^server\d\d-\d\d-\d\.yandex\.ru$
To check access, DNS PTR query is performed for peer address and then regexp is applied.
Then, for result of PTR query, another DNS query is performed and all received addresses compared to peer address.
Strongly recommended that regexp is ends with $
All results of DNS requests are cached till server restart.
-->
<networks incl="networks" replace="replace">
<ip>::/0</ip>
</networks>
<!-- Settings profile for user. -->
<profile>default</profile>
<!-- Quota for user. -->
<quota>default</quota>
<!-- Allow access management -->
<access_management>1</access_management>
<!-- Example of row level security policy. -->
<!-- <databases>
<test>
<filtered_table1>
<filter>a = 1</filter>
</filtered_table1>
<filtered_table2>
<filter>a + b &lt; 1 or c - d &gt; 5</filter>
</filtered_table2>
</test>
</databases> -->
</default>
<!-- Example of user with readonly access. -->
<!-- <readonly>
<password></password>
<networks incl="networks" replace="replace">
<ip>::1</ip>
<ip>127.0.0.1</ip>
</networks>
<profile>readonly</profile>
<quota>default</quota>
</readonly> -->
</users>
<!-- Quotas. -->
<quotas>
<!-- Name of quota. -->
<default>
<!-- Limits for time interval. You could specify many intervals with different limits. -->
<interval>
<!-- Length of interval. -->
<duration>3600</duration>
<!-- No limits. Just calculate resource usage for time interval. -->
<queries>0</queries>
<errors>0</errors>
<result_rows>0</result_rows>
<read_rows>0</read_rows>
<execution_time>0</execution_time>
</interval>
</default>
</quotas>
</yandex>

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@ -0,0 +1,8 @@
<?xml version="1.0"?>
<yandex>
<macros>
<replica>clickhouse1</replica>
<shard>01</shard>
<shard2>01</shard2>
</macros>
</yandex>

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@ -0,0 +1,8 @@
<?xml version="1.0"?>
<yandex>
<macros>
<replica>clickhouse2</replica>
<shard>01</shard>
<shard2>02</shard2>
</macros>
</yandex>

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@ -0,0 +1,8 @@
<?xml version="1.0"?>
<yandex>
<macros>
<replica>clickhouse3</replica>
<shard>01</shard>
<shard2>03</shard2>
</macros>
</yandex>

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@ -0,0 +1,28 @@
version: '2.3'
services:
clickhouse:
image: yandex/clickhouse-integration-test
expose:
- "9000"
- "9009"
- "8123"
volumes:
- "${CLICKHOUSE_TESTS_DIR}/configs/clickhouse/config.d:/etc/clickhouse-server/config.d"
- "${CLICKHOUSE_TESTS_DIR}/configs/clickhouse/users.d:/etc/clickhouse-server/users.d"
- "${CLICKHOUSE_TESTS_DIR}/configs/clickhouse/ssl:/etc/clickhouse-server/ssl"
- "${CLICKHOUSE_TESTS_DIR}/configs/clickhouse/config.xml:/etc/clickhouse-server/config.xml"
- "${CLICKHOUSE_TESTS_DIR}/configs/clickhouse/users.xml:/etc/clickhouse-server/users.xml"
- "${CLICKHOUSE_TESTS_SERVER_BIN_PATH:-/usr/bin/clickhouse}:/usr/bin/clickhouse"
- "${CLICKHOUSE_TESTS_ODBC_BRIDGE_BIN_PATH:-/usr/bin/clickhouse-odbc-bridge}:/usr/bin/clickhouse-odbc-bridge"
entrypoint: bash -c "clickhouse server --config-file=/etc/clickhouse-server/config.xml --log-file=/var/log/clickhouse-server/clickhouse-server.log --errorlog-file=/var/log/clickhouse-server/clickhouse-server.err.log"
healthcheck:
test: clickhouse client --query='select 1'
interval: 10s
timeout: 10s
retries: 3
start_period: 300s
cap_add:
- SYS_PTRACE
security_opt:
- label:disable

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@ -0,0 +1,60 @@
version: '2.3'
services:
zookeeper:
extends:
file: zookeeper-service.yml
service: zookeeper
clickhouse1:
extends:
file: clickhouse-service.yml
service: clickhouse
hostname: clickhouse1
volumes:
- "${CLICKHOUSE_TESTS_DIR}/_instances/clickhouse1/database/:/var/lib/clickhouse/"
- "${CLICKHOUSE_TESTS_DIR}/_instances/clickhouse1/logs/:/var/log/clickhouse-server/"
- "${CLICKHOUSE_TESTS_DIR}/configs/clickhouse1/config.d/macros.xml:/etc/clickhouse-server/config.d/macros.xml"
depends_on:
zookeeper:
condition: service_healthy
clickhouse2:
extends:
file: clickhouse-service.yml
service: clickhouse
hostname: clickhouse2
volumes:
- "${CLICKHOUSE_TESTS_DIR}/_instances/clickhouse2/database/:/var/lib/clickhouse/"
- "${CLICKHOUSE_TESTS_DIR}/_instances/clickhouse2/logs/:/var/log/clickhouse-server/"
- "${CLICKHOUSE_TESTS_DIR}/configs/clickhouse2/config.d/macros.xml:/etc/clickhouse-server/config.d/macros.xml"
depends_on:
zookeeper:
condition: service_healthy
clickhouse3:
extends:
file: clickhouse-service.yml
service: clickhouse
hostname: clickhouse3
volumes:
- "${CLICKHOUSE_TESTS_DIR}/_instances/clickhouse3/database/:/var/lib/clickhouse/"
- "${CLICKHOUSE_TESTS_DIR}/_instances/clickhouse3/logs/:/var/log/clickhouse-server/"
- "${CLICKHOUSE_TESTS_DIR}/configs/clickhouse3/config.d/macros.xml:/etc/clickhouse-server/config.d/macros.xml"
depends_on:
zookeeper:
condition: service_healthy
# dummy service which does nothing, but allows to postpone
# 'docker-compose up -d' till all dependecies will go healthy
all_services_ready:
image: hello-world
depends_on:
clickhouse1:
condition: service_healthy
clickhouse2:
condition: service_healthy
clickhouse3:
condition: service_healthy
zookeeper:
condition: service_healthy

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version: '2.3'
services:
zookeeper:
image: zookeeper:3.4.12
expose:
- "2181"
environment:
ZOO_TICK_TIME: 500
ZOO_MY_ID: 1
healthcheck:
test: echo stat | nc localhost 2181
interval: 3s
timeout: 2s
retries: 5
start_period: 2s
security_opt:
- label:disable

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@ -0,0 +1,61 @@
#!/usr/bin/env python3
import sys
from testflows.core import *
append_path(sys.path, "..")
from helpers.cluster import Cluster
from helpers.argparser import argparser
from map_type.requirements import QA_SRS018_ClickHouse_Map_Data_Type
xfails = {
"tests/table map with key integer/Int:":
[(Fail, "https://github.com/ClickHouse/ClickHouse/issues/21032")],
"tests/table map with value integer/Int:":
[(Fail, "https://github.com/ClickHouse/ClickHouse/issues/21032")],
"tests/table map with key integer/UInt256":
[(Fail, "https://github.com/ClickHouse/ClickHouse/issues/21031")],
"tests/table map with value integer/UInt256":
[(Fail, "https://github.com/ClickHouse/ClickHouse/issues/21031")],
"tests/select map with key integer/Int64":
[(Fail, "https://github.com/ClickHouse/ClickHouse/issues/21030")],
"tests/select map with value integer/Int64":
[(Fail, "https://github.com/ClickHouse/ClickHouse/issues/21030")],
"tests/cast tuple of two arrays to map/string -> int":
[(Fail, "https://github.com/ClickHouse/ClickHouse/issues/21029")],
"tests/mapcontains/null key in map":
[(Fail, "https://github.com/ClickHouse/ClickHouse/issues/21028")],
"tests/mapcontains/select nullable key":
[(Fail, "https://github.com/ClickHouse/ClickHouse/issues/21026")]
}
xflags = {
}
@TestModule
@ArgumentParser(argparser)
@XFails(xfails)
@XFlags(xflags)
@Name("map type")
@Specifications(
QA_SRS018_ClickHouse_Map_Data_Type
)
def regression(self, local, clickhouse_binary_path, stress=None, parallel=None):
"""Map type regression.
"""
nodes = {
"clickhouse":
("clickhouse1", "clickhouse2", "clickhouse3")
}
with Cluster(local, clickhouse_binary_path, nodes=nodes) as cluster:
self.context.cluster = cluster
self.context.stress = stress
if parallel is not None:
self.context.parallel = parallel
Feature(run=load("map_type.tests.feature", "feature"))
if main():
regression()

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from .requirements import *

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@ -0,0 +1,523 @@
# SRS018 ClickHouse Map Data Type
# Software Requirements Specification
## Table of Contents
* 1 [Revision History](#revision-history)
* 2 [Introduction](#introduction)
* 3 [Requirements](#requirements)
* 3.1 [General](#general)
* 3.1.1 [RQ.SRS-018.ClickHouse.Map.DataType](#rqsrs-018clickhousemapdatatype)
* 3.2 [Performance](#performance)
* 3.2.1 [RQ.SRS-018.ClickHouse.Map.DataType.Performance.Vs.ArrayOfTuples](#rqsrs-018clickhousemapdatatypeperformancevsarrayoftuples)
* 3.2.2 [RQ.SRS-018.ClickHouse.Map.DataType.Performance.Vs.TupleOfArrays](#rqsrs-018clickhousemapdatatypeperformancevstupleofarrays)
* 3.3 [Key Types](#key-types)
* 3.3.1 [RQ.SRS-018.ClickHouse.Map.DataType.Key.String](#rqsrs-018clickhousemapdatatypekeystring)
* 3.3.2 [RQ.SRS-018.ClickHouse.Map.DataType.Key.Integer](#rqsrs-018clickhousemapdatatypekeyinteger)
* 3.4 [Value Types](#value-types)
* 3.4.1 [RQ.SRS-018.ClickHouse.Map.DataType.Value.String](#rqsrs-018clickhousemapdatatypevaluestring)
* 3.4.2 [RQ.SRS-018.ClickHouse.Map.DataType.Value.Integer](#rqsrs-018clickhousemapdatatypevalueinteger)
* 3.4.3 [RQ.SRS-018.ClickHouse.Map.DataType.Value.Array](#rqsrs-018clickhousemapdatatypevaluearray)
* 3.5 [Invalid Types](#invalid-types)
* 3.5.1 [RQ.SRS-018.ClickHouse.Map.DataType.Invalid.Nullable](#rqsrs-018clickhousemapdatatypeinvalidnullable)
* 3.5.2 [RQ.SRS-018.ClickHouse.Map.DataType.Invalid.NothingNothing](#rqsrs-018clickhousemapdatatypeinvalidnothingnothing)
* 3.6 [Duplicated Keys](#duplicated-keys)
* 3.6.1 [RQ.SRS-018.ClickHouse.Map.DataType.DuplicatedKeys](#rqsrs-018clickhousemapdatatypeduplicatedkeys)
* 3.7 [Array of Maps](#array-of-maps)
* 3.7.1 [RQ.SRS-018.ClickHouse.Map.DataType.ArrayOfMaps](#rqsrs-018clickhousemapdatatypearrayofmaps)
* 3.8 [Nested With Maps](#nested-with-maps)
* 3.8.1 [RQ.SRS-018.ClickHouse.Map.DataType.NestedWithMaps](#rqsrs-018clickhousemapdatatypenestedwithmaps)
* 3.9 [Value Retrieval](#value-retrieval)
* 3.9.1 [RQ.SRS-018.ClickHouse.Map.DataType.Value.Retrieval](#rqsrs-018clickhousemapdatatypevalueretrieval)
* 3.9.2 [RQ.SRS-018.ClickHouse.Map.DataType.Value.Retrieval.KeyInvalid](#rqsrs-018clickhousemapdatatypevalueretrievalkeyinvalid)
* 3.9.3 [RQ.SRS-018.ClickHouse.Map.DataType.Value.Retrieval.KeyNotFound](#rqsrs-018clickhousemapdatatypevalueretrievalkeynotfound)
* 3.10 [Converting Tuple(Array, Array) to Map](#converting-tuplearray-array-to-map)
* 3.10.1 [RQ.SRS-018.ClickHouse.Map.DataType.Conversion.From.TupleOfArraysToMap](#rqsrs-018clickhousemapdatatypeconversionfromtupleofarraystomap)
* 3.10.2 [RQ.SRS-018.ClickHouse.Map.DataType.Conversion.From.TupleOfArraysMap.Invalid](#rqsrs-018clickhousemapdatatypeconversionfromtupleofarraysmapinvalid)
* 3.11 [Converting Array(Tuple(K,V)) to Map](#converting-arraytuplekv-to-map)
* 3.11.1 [RQ.SRS-018.ClickHouse.Map.DataType.Conversion.From.ArrayOfTuplesToMap](#rqsrs-018clickhousemapdatatypeconversionfromarrayoftuplestomap)
* 3.11.2 [RQ.SRS-018.ClickHouse.Map.DataType.Conversion.From.ArrayOfTuplesToMap.Invalid](#rqsrs-018clickhousemapdatatypeconversionfromarrayoftuplestomapinvalid)
* 3.12 [Keys and Values Subcolumns](#keys-and-values-subcolumns)
* 3.12.1 [RQ.SRS-018.ClickHouse.Map.DataType.SubColumns.Keys](#rqsrs-018clickhousemapdatatypesubcolumnskeys)
* 3.12.2 [RQ.SRS-018.ClickHouse.Map.DataType.SubColumns.Keys.ArrayFunctions](#rqsrs-018clickhousemapdatatypesubcolumnskeysarrayfunctions)
* 3.12.3 [RQ.SRS-018.ClickHouse.Map.DataType.SubColumns.Keys.InlineDefinedMap](#rqsrs-018clickhousemapdatatypesubcolumnskeysinlinedefinedmap)
* 3.12.4 [RQ.SRS-018.ClickHouse.Map.DataType.SubColumns.Values](#rqsrs-018clickhousemapdatatypesubcolumnsvalues)
* 3.12.5 [RQ.SRS-018.ClickHouse.Map.DataType.SubColumns.Values.ArrayFunctions](#rqsrs-018clickhousemapdatatypesubcolumnsvaluesarrayfunctions)
* 3.12.6 [RQ.SRS-018.ClickHouse.Map.DataType.SubColumns.Values.InlineDefinedMap](#rqsrs-018clickhousemapdatatypesubcolumnsvaluesinlinedefinedmap)
* 3.13 [Functions](#functions)
* 3.13.1 [RQ.SRS-018.ClickHouse.Map.DataType.Functions.InlineDefinedMap](#rqsrs-018clickhousemapdatatypefunctionsinlinedefinedmap)
* 3.13.2 [`length`](#length)
* 3.13.2.1 [RQ.SRS-018.ClickHouse.Map.DataType.Functions.Length](#rqsrs-018clickhousemapdatatypefunctionslength)
* 3.13.3 [`empty`](#empty)
* 3.13.3.1 [RQ.SRS-018.ClickHouse.Map.DataType.Functions.Empty](#rqsrs-018clickhousemapdatatypefunctionsempty)
* 3.13.4 [`notEmpty`](#notempty)
* 3.13.4.1 [RQ.SRS-018.ClickHouse.Map.DataType.Functions.NotEmpty](#rqsrs-018clickhousemapdatatypefunctionsnotempty)
* 3.13.5 [`map`](#map)
* 3.13.5.1 [RQ.SRS-018.ClickHouse.Map.DataType.Functions.Map](#rqsrs-018clickhousemapdatatypefunctionsmap)
* 3.13.5.2 [RQ.SRS-018.ClickHouse.Map.DataType.Functions.Map.InvalidNumberOfArguments](#rqsrs-018clickhousemapdatatypefunctionsmapinvalidnumberofarguments)
* 3.13.5.3 [RQ.SRS-018.ClickHouse.Map.DataType.Functions.Map.MixedKeyOrValueTypes](#rqsrs-018clickhousemapdatatypefunctionsmapmixedkeyorvaluetypes)
* 3.13.5.4 [RQ.SRS-018.ClickHouse.Map.DataType.Functions.Map.MapAdd](#rqsrs-018clickhousemapdatatypefunctionsmapmapadd)
* 3.13.5.5 [RQ.SRS-018.ClickHouse.Map.DataType.Functions.Map.MapSubstract](#rqsrs-018clickhousemapdatatypefunctionsmapmapsubstract)
* 3.13.5.6 [RQ.SRS-018.ClickHouse.Map.DataType.Functions.Map.MapPopulateSeries](#rqsrs-018clickhousemapdatatypefunctionsmapmappopulateseries)
* 3.13.6 [`mapContains`](#mapcontains)
* 3.13.6.1 [RQ.SRS-018.ClickHouse.Map.DataType.Functions.MapContains](#rqsrs-018clickhousemapdatatypefunctionsmapcontains)
* 3.13.7 [`mapKeys`](#mapkeys)
* 3.13.7.1 [RQ.SRS-018.ClickHouse.Map.DataType.Functions.MapKeys](#rqsrs-018clickhousemapdatatypefunctionsmapkeys)
* 3.13.8 [`mapValues`](#mapvalues)
* 3.13.8.1 [RQ.SRS-018.ClickHouse.Map.DataType.Functions.MapValues](#rqsrs-018clickhousemapdatatypefunctionsmapvalues)
## Revision History
This document is stored in an electronic form using [Git] source control management software
hosted in a [GitHub Repository].
All the updates are tracked using the [Revision History].
## Introduction
This software requirements specification covers requirements for `Map(key, value)` data type in [ClickHouse].
## Requirements
### General
#### RQ.SRS-018.ClickHouse.Map.DataType
version: 1.0
[ClickHouse] SHALL support `Map(key, value)` data type that stores `key:value` pairs.
### Performance
#### RQ.SRS-018.ClickHouse.Map.DataType.Performance.Vs.ArrayOfTuples
version:1.0
[ClickHouse] SHALL provide comparable performance for `Map(key, value)` data type as
compared to `Array(Tuple(K,V))` data type.
#### RQ.SRS-018.ClickHouse.Map.DataType.Performance.Vs.TupleOfArrays
version:1.0
[ClickHouse] SHALL provide comparable performance for `Map(key, value)` data type as
compared to `Tuple(Array(String), Array(String))` data type where the first
array defines an array of keys and the second array defines an array of values.
### Key Types
#### RQ.SRS-018.ClickHouse.Map.DataType.Key.String
version: 1.0
[ClickHouse] SHALL support `Map(key, value)` data type where key is of a [String] type.
#### RQ.SRS-018.ClickHouse.Map.DataType.Key.Integer
version: 1.0
[ClickHouse] SHALL support `Map(key, value)` data type where key is of an [Integer] type.
### Value Types
#### RQ.SRS-018.ClickHouse.Map.DataType.Value.String
version: 1.0
[ClickHouse] SHALL support `Map(key, value)` data type where value is of a [String] type.
#### RQ.SRS-018.ClickHouse.Map.DataType.Value.Integer
version: 1.0
[ClickHouse] SHALL support `Map(key, value)` data type where value is of a [Integer] type.
#### RQ.SRS-018.ClickHouse.Map.DataType.Value.Array
version: 1.0
[ClickHouse] SHALL support `Map(key, value)` data type where value is of a [Array] type.
### Invalid Types
#### RQ.SRS-018.ClickHouse.Map.DataType.Invalid.Nullable
version: 1.0
[ClickHouse] SHALL not support creating table columns that have `Nullable(Map(key, value))` data type.
#### RQ.SRS-018.ClickHouse.Map.DataType.Invalid.NothingNothing
version: 1.0
[ClickHouse] SHALL not support creating table columns that have `Map(Nothing, Nothing))` data type.
### Duplicated Keys
#### RQ.SRS-018.ClickHouse.Map.DataType.DuplicatedKeys
version: 1.0
[ClickHouse] SHALL support `Map(key, value)` data type with duplicated keys.
### Array of Maps
#### RQ.SRS-018.ClickHouse.Map.DataType.ArrayOfMaps
version: 1.0
[ClickHouse] SHALL support `Array(Map(key, value))` data type.
### Nested With Maps
#### RQ.SRS-018.ClickHouse.Map.DataType.NestedWithMaps
version: 1.0
[ClickHouse] SHALL support defining `Map(key, value)` data type inside the [Nested] data type.
### Value Retrieval
#### RQ.SRS-018.ClickHouse.Map.DataType.Value.Retrieval
version: 1.0
[ClickHouse] SHALL support getting the value from a `Map(key, value)` data type using `map[key]` syntax.
If `key` has duplicates then the first `key:value` pair SHALL be returned.
For example,
```sql
SELECT a['key2'] FROM table_map;
```
#### RQ.SRS-018.ClickHouse.Map.DataType.Value.Retrieval.KeyInvalid
version: 1.0
[ClickHouse] SHALL return an error when key does not match the key type.
For example,
```sql
SELECT map(1,2) AS m, m[1024]
```
SHALL have the following output
```bash
Code: 43. DB::Exception: Received from localhost:9000. DB::Exception: Illegal types of arguments: Map(UInt8,UInt8), UInt16 for function : While processing {1, 2} AS m, m[1024].
```
Exceptions:
* when key is `NULL` the return value SHALL be `NULL`
* when key has [Integer] type and key is either too large or negative then
when reading from a table column it SHALL return `zero`.
#### RQ.SRS-018.ClickHouse.Map.DataType.Value.Retrieval.KeyNotFound
version: 1.0
[ClickHouse] SHALL return
* zeros for [Integer] values
* empty strings for [String] values
* empty for [Array] values
when there's no corresponding `key` defined in the `Map(key, value)` data type.
### Converting Tuple(Array, Array) to Map
#### RQ.SRS-018.ClickHouse.Map.DataType.Conversion.From.TupleOfArraysToMap
version: 1.0
[ClickHouse] SHALL support converting [Tuple(Array, Array)] to `Map(key, value)` using the [CAST] function.
``` sql
SELECT CAST(([1, 2, 3], ['Ready', 'Steady', 'Go']), 'Map(UInt8, String)') AS map;
```
``` text
┌─map───────────────────────────┐
│ {1:'Ready',2:'Steady',3:'Go'} │
└───────────────────────────────┘
```
#### RQ.SRS-018.ClickHouse.Map.DataType.Conversion.From.TupleOfArraysMap.Invalid
version: 1.0
[ClickHouse] SHALL return an error when casting [Tuple(Array, Array)] when arguments are invalid
such as when arrays are not of equal size.
For example,
```sql
SELECT CAST(([2, 1, 1023], ['', '']), 'Map(UInt8, String)') AS map, map[10]
```
### Converting Array(Tuple(K,V)) to Map
#### RQ.SRS-018.ClickHouse.Map.DataType.Conversion.From.ArrayOfTuplesToMap
version: 1.0
[ClickHouse] SHALL support converting [Array(Tuple(K,V))] to `Map(key, value)` using the [CAST] function.
For example,
```sql
SELECT CAST(([(1,2),(3)]), 'Map(UInt8, UInt8)') AS map
```
#### RQ.SRS-018.ClickHouse.Map.DataType.Conversion.From.ArrayOfTuplesToMap.Invalid
version: 1.0
[ClickHouse] SHALL return an error when casting [Array(Tuple(K, V))] to `Map(key, value)`
when [Tuple] is invalid such as when it is not a [Tuple] with two elements.
For example,
```sql
SELECT CAST(([(1,2),(3)]), 'Map(UInt8, UInt8)') AS map
```
or
```sql
SELECT CAST(([(1,2),(3,)]), 'Map(UInt8, UInt8)') AS map
```
### Keys and Values Subcolumns
#### RQ.SRS-018.ClickHouse.Map.DataType.SubColumns.Keys
version: 1.0
[ClickHouse] SHALL support `keys` subcolumn in the `Map(key, value)` type that can be used
to retrieve an [Array] of map keys.
```sql
SELECT m.keys FROM t_map;
```
#### RQ.SRS-018.ClickHouse.Map.DataType.SubColumns.Keys.ArrayFunctions
version: 1.0
[ClickHouse] SHALL support applying [Array] functions to the `keys` subcolumn in the `Map(key, value)` type.
For example,
```sql
SELECT * FROM t_map WHERE has(m.keys, 'a');
```
#### RQ.SRS-018.ClickHouse.Map.DataType.SubColumns.Keys.InlineDefinedMap
version: 1.0
[ClickHouse] SHALL not support using inline defined map to get `keys` subcolumn.
For example,
```sql
SELECT map( 'aa', 4, '44' , 5) as c, c.keys
```
#### RQ.SRS-018.ClickHouse.Map.DataType.SubColumns.Values
version: 1.0
[ClickHouse] SHALL support `values` subcolumn in the `Map(key, value)` type that can be used
to retrieve an [Array] of map values.
```sql
SELECT m.values FROM t_map;
```
#### RQ.SRS-018.ClickHouse.Map.DataType.SubColumns.Values.ArrayFunctions
version: 1.0
[ClickHouse] SHALL support applying [Array] functions to the `values` subcolumn in the `Map(key, value)` type.
For example,
```sql
SELECT * FROM t_map WHERE has(m.values, 'a');
```
#### RQ.SRS-018.ClickHouse.Map.DataType.SubColumns.Values.InlineDefinedMap
version: 1.0
[ClickHouse] SHALL not support using inline defined map to get `values` subcolumn.
For example,
```sql
SELECT map( 'aa', 4, '44' , 5) as c, c.values
```
### Functions
#### RQ.SRS-018.ClickHouse.Map.DataType.Functions.InlineDefinedMap
version: 1.0
[ClickHouse] SHALL support using inline defined maps as an argument to map functions.
For example,
```sql
SELECT map( 'aa', 4, '44' , 5) as c, mapKeys(c)
SELECT map( 'aa', 4, '44' , 5) as c, mapValues(c)
```
#### `length`
##### RQ.SRS-018.ClickHouse.Map.DataType.Functions.Length
version: 1.0
[ClickHouse] SHALL support `Map(key, value)` data type as an argument to the [length] function
that SHALL return number of keys in the map.
For example,
```sql
SELECT length(map(1,2,3,4))
SELECT length(map())
```
#### `empty`
##### RQ.SRS-018.ClickHouse.Map.DataType.Functions.Empty
version: 1.0
[ClickHouse] SHALL support `Map(key, value)` data type as an argument to the [empty] function
that SHALL return 1 if number of keys in the map is 0 otherwise if the number of keys is
greater or equal to 1 it SHALL return 0.
For example,
```sql
SELECT empty(map(1,2,3,4))
SELECT empty(map())
```
#### `notEmpty`
##### RQ.SRS-018.ClickHouse.Map.DataType.Functions.NotEmpty
version: 1.0
[ClickHouse] SHALL support `Map(key, value)` data type as an argument to the [notEmpty] function
that SHALL return 0 if number if keys in the map is 0 otherwise if the number of keys is
greater or equal to 1 it SHALL return 1.
For example,
```sql
SELECT notEmpty(map(1,2,3,4))
SELECT notEmpty(map())
```
#### `map`
##### RQ.SRS-018.ClickHouse.Map.DataType.Functions.Map
version: 1.0
[ClickHouse] SHALL support arranging `key, value` pairs into `Map(key, value)` data type
using `map` function.
**Syntax**
``` sql
map(key1, value1[, key2, value2, ...])
```
For example,
``` sql
SELECT map('key1', number, 'key2', number * 2) FROM numbers(3);
┌─map('key1', number, 'key2', multiply(number, 2))─┐
│ {'key1':0,'key2':0} │
│ {'key1':1,'key2':2} │
│ {'key1':2,'key2':4} │
└──────────────────────────────────────────────────┘
```
##### RQ.SRS-018.ClickHouse.Map.DataType.Functions.Map.InvalidNumberOfArguments
version: 1.0
[ClickHouse] SHALL return an error when `map` function is called with non even number of arguments.
##### RQ.SRS-018.ClickHouse.Map.DataType.Functions.Map.MixedKeyOrValueTypes
version: 1.0
[ClickHouse] SHALL return an error when `map` function is called with mixed key or value types.
##### RQ.SRS-018.ClickHouse.Map.DataType.Functions.Map.MapAdd
version: 1.0
[ClickHouse] SHALL support converting the results of `mapAdd` function to a `Map(key, value)` data type.
For example,
``` sql
SELECT CAST(mapAdd(([toUInt8(1), 2], [1, 1]), ([toUInt8(1), 2], [1, 1])), "Map(Int8,Int8)")
```
##### RQ.SRS-018.ClickHouse.Map.DataType.Functions.Map.MapSubstract
version: 1.0
[ClickHouse] SHALL support converting the results of `mapSubstract` function to a `Map(key, value)` data type.
For example,
```sql
SELECT CAST(mapSubtract(([toUInt8(1), 2], [toInt32(1), 1]), ([toUInt8(1), 2], [toInt32(2), 1])), "Map(Int8,Int8)")
```
##### RQ.SRS-018.ClickHouse.Map.DataType.Functions.Map.MapPopulateSeries
version: 1.0
[ClickHouse] SHALL support converting the results of `mapPopulateSeries` function to a `Map(key, value)` data type.
For example,
```sql
SELECT CAST(mapPopulateSeries([1,2,4], [11,22,44], 5), "Map(Int8,Int8)")
```
#### `mapContains`
##### RQ.SRS-018.ClickHouse.Map.DataType.Functions.MapContains
version: 1.0
[ClickHouse] SHALL support `mapContains(map, key)` function to check weather `map.keys` contains the `key`.
For example,
```sql
SELECT mapContains(a, 'abc') from table_map;
```
#### `mapKeys`
##### RQ.SRS-018.ClickHouse.Map.DataType.Functions.MapKeys
version: 1.0
[ClickHouse] SHALL support `mapKeys(map)` function to return all the map keys in the [Array] format.
For example,
```sql
SELECT mapKeys(a) from table_map;
```
#### `mapValues`
##### RQ.SRS-018.ClickHouse.Map.DataType.Functions.MapValues
version: 1.0
[ClickHouse] SHALL support `mapValues(map)` function to return all the map values in the [Array] format.
For example,
```sql
SELECT mapValues(a) from table_map;
```
[Nested]: https://clickhouse.tech/docs/en/sql-reference/data-types/nested-data-structures/nested/
[length]: https://clickhouse.tech/docs/en/sql-reference/functions/array-functions/#array_functions-length
[empty]: https://clickhouse.tech/docs/en/sql-reference/functions/array-functions/#function-empty
[notEmpty]: https://clickhouse.tech/docs/en/sql-reference/functions/array-functions/#function-notempty
[CAST]: https://clickhouse.tech/docs/en/sql-reference/functions/type-conversion-functions/#type_conversion_function-cast
[Tuple]: https://clickhouse.tech/docs/en/sql-reference/data-types/tuple/
[Tuple(Array,Array)]: https://clickhouse.tech/docs/en/sql-reference/data-types/tuple/
[Array]: https://clickhouse.tech/docs/en/sql-reference/data-types/array/
[String]: https://clickhouse.tech/docs/en/sql-reference/data-types/string/
[Integer]: https://clickhouse.tech/docs/en/sql-reference/data-types/int-uint/
[ClickHouse]: https://clickhouse.tech
[GitHub Repository]: https://github.com/ClickHouse/ClickHouse/blob/master/tests/testflows/map_type/requirements/requirements.md
[Revision History]: https://github.com/ClickHouse/ClickHouse/commits/master/tests/testflows/map_type/requirements/requirements.md
[Git]: https://git-scm.com/
[GitHub]: https://github.com

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import uuid
from collections import namedtuple
from testflows.core import *
from testflows.core.name import basename, parentname
from testflows._core.testtype import TestSubType
table_tuple = namedtuple("table_tuple", "create_statement cluster")
table_types = {
"MergeTree": table_tuple("CREATE TABLE {name} (d DATE, a String, b UInt8, x String, m Map(String, Int8)) ENGINE = MergeTree() PARTITION BY m ORDER BY d", None),
# "ReplacingMergeTree": table_tuple("CREATE TABLE {name} (d DATE, a String, b UInt8, x String, y Int8) ENGINE = ReplacingMergeTree() PARTITION BY y ORDER BY d", None),
# "SummingMergeTree": table_tuple("CREATE TABLE {name} (d DATE, a String, b UInt8 DEFAULT 1, x String, y Int8) ENGINE = SummingMergeTree() PARTITION BY y ORDER BY d", None),
# "AggregatingMergeTree": table_tuple("CREATE TABLE {name} (d DATE, a String, b UInt8, x String, y Int8) ENGINE = AggregatingMergeTree() PARTITION BY y ORDER BY d", None),
# "CollapsingMergeTree": table_tuple("CREATE TABLE {name} (d Date, a String, b UInt8, x String, y Int8, sign Int8 DEFAULT 1) ENGINE = CollapsingMergeTree(sign) PARTITION BY y ORDER BY d", None),
# "VersionedCollapsingMergeTree": table_tuple("CREATE TABLE {name} (d Date, a String, b UInt8, x String, y Int8, version UInt64, sign Int8 DEFAULT 1) ENGINE = VersionedCollapsingMergeTree(sign, version) PARTITION BY y ORDER BY d", None),
# "GraphiteMergeTree": table_tuple("CREATE TABLE {name} (d Date, a String, b UInt8, x String, y Int8, Path String, Time DateTime, Value Float64, col UInt64, Timestamp Int64) ENGINE = GraphiteMergeTree('graphite_rollup_example') PARTITION BY y ORDER by d", None),
# "ReplicatedMergeTree-sharded_cluster": table_tuple("CREATE TABLE {name} ON CLUSTER sharded_cluster (d DATE, a String, b UInt8, x String, y Int8) \
# ENGINE = ReplicatedMergeTree('/clickhouse/tables/{{shard}}/{name}', '{{replica}}') PARTITION BY y ORDER BY d", "sharded_cluster"),
# "ReplicatedMergeTree-one_shard_cluster": table_tuple("CREATE TABLE {name} ON CLUSTER one_shard_cluster (d DATE, a String, b UInt8, x String, y Int8) \
# ENGINE = ReplicatedMergeTree('/clickhouse/tables/{{shard}}/{name}', '{{replica}}') PARTITION BY y ORDER BY d", "one_shard_cluster"),
# "ReplicatedReplacingMergeTree-sharded_cluster": table_tuple("CREATE TABLE {name} ON CLUSTER sharded_cluster (d DATE, a String, b UInt8, x String, y Int8) \
# ENGINE = ReplicatedReplacingMergeTree('/clickhouse/tables/{{shard}}/{name}', '{{replica}}') PARTITION BY y ORDER BY d", "sharded_cluster"),
# "ReplicatedReplacingMergeTree-one_shard_cluster": table_tuple("CREATE TABLE {name} ON CLUSTER one_shard_cluster (d DATE, a String, b UInt8, x String, y Int8) \
# ENGINE = ReplicatedReplacingMergeTree('/clickhouse/tables/{{shard}}/{name}', '{{replica}}') PARTITION BY y ORDER BY d", "one_shard_cluster"),
# "ReplicatedSummingMergeTree-sharded_cluster": table_tuple("CREATE TABLE {name} ON CLUSTER sharded_cluster (d DATE, a String, b UInt8 DEFAULT 1, x String, y Int8) \
# ENGINE = ReplicatedSummingMergeTree('/clickhouse/tables/{{shard}}/{name}', '{{replica}}') PARTITION BY y ORDER BY d", "sharded_cluster"),
# "ReplicatedSummingMergeTree-one_shard_cluster": table_tuple("CREATE TABLE {name} ON CLUSTER one_shard_cluster (d DATE, a String, b UInt8 DEFAULT 1, x String, y Int8) \
# ENGINE = ReplicatedSummingMergeTree('/clickhouse/tables/{{shard}}/{name}', '{{replica}}') PARTITION BY y ORDER BY d", "one_shard_cluster"),
# "ReplicatedAggregatingMergeTree-sharded_cluster": table_tuple("CREATE TABLE {name} ON CLUSTER sharded_cluster (d DATE, a String, b UInt8, x String, y Int8) \
# ENGINE = ReplicatedAggregatingMergeTree('/clickhouse/tables/{{shard}}/{name}', '{{replica}}') PARTITION BY y ORDER BY d", "sharded_cluster"),
# "ReplicatedAggregatingMergeTree-one_shard_cluster": table_tuple("CREATE TABLE {name} ON CLUSTER one_shard_cluster (d DATE, a String, b UInt8, x String, y Int8) \
# ENGINE = ReplicatedAggregatingMergeTree('/clickhouse/tables/{{shard}}/{name}', '{{replica}}') PARTITION BY y ORDER BY d", "one_shard_cluster"),
# "ReplicatedCollapsingMergeTree-sharded_cluster": table_tuple("CREATE TABLE {name} ON CLUSTER sharded_cluster (d Date, a String, b UInt8, x String, y Int8, sign Int8 DEFAULT 1) \
# ENGINE = ReplicatedCollapsingMergeTree('/clickhouse/tables/{{shard}}/{name}', '{{replica}}', sign) PARTITION BY y ORDER BY d", "sharded_cluster"),
# "ReplicatedCollapsingMergeTree-one_shard_cluster": table_tuple("CREATE TABLE {name} ON CLUSTER one_shard_cluster (d Date, a String, b UInt8, x String, y Int8, sign Int8 DEFAULT 1) \
# ENGINE = ReplicatedCollapsingMergeTree('/clickhouse/tables/{{shard}}/{name}', '{{replica}}', sign) PARTITION BY y ORDER BY d", "one_shard_cluster"),
# "ReplicatedVersionedCollapsingMergeTree-sharded_cluster": table_tuple("CREATE TABLE {name} ON CLUSTER sharded_cluster (d Date, a String, b UInt8, x String, y Int8, version UInt64, sign Int8 DEFAULT 1) \
# ENGINE = ReplicatedVersionedCollapsingMergeTree('/clickhouse/tables/{{shard}}/{name}', '{{replica}}', sign, version) PARTITION BY y ORDER BY d", "sharded_cluster"),
# "ReplicatedVersionedCollapsingMergeTree-one_shard_cluster": table_tuple("CREATE TABLE {name} ON CLUSTER one_shard_cluster (d Date, a String, b UInt8, x String, y Int8, version UInt64, sign Int8 DEFAULT 1) \
# ENGINE = ReplicatedVersionedCollapsingMergeTree('/clickhouse/tables/{{shard}}/{name}', '{{replica}}', sign, version) PARTITION BY y ORDER BY d", "one_shard_cluster"),
# "ReplicatedGraphiteMergeTree-sharded_cluster": table_tuple("CREATE TABLE {name} ON CLUSTER sharded_cluster (d Date, a String, b UInt8, x String, y Int8, Path String, Time DateTime, Value Float64, col UInt64, Timestamp Int64) \
# ENGINE = ReplicatedGraphiteMergeTree('/clickhouse/tables/{{shard}}/{name}', '{{replica}}', 'graphite_rollup_example') PARTITION BY y ORDER BY d", "sharded_cluster"),
# "ReplicatedGraphiteMergeTree-one_shard_cluster": table_tuple("CREATE TABLE {name} ON CLUSTER one_shard_cluster (d Date, a String, b UInt8, x String, y Int8, Path String, Time DateTime, Value Float64, col UInt64, Timestamp Int64) \
# ENGINE = ReplicatedGraphiteMergeTree('/clickhouse/tables/{{shard}}/{name}', '{{replica}}', 'graphite_rollup_example') PARTITION BY y ORDER BY d", "one_shard_cluster"),
}
def getuid():
if current().subtype == TestSubType.Example:
testname = f"{basename(parentname(current().name)).replace(' ', '_').replace(',','')}"
else:
testname = f"{basename(current().name).replace(' ', '_').replace(',','')}"
return testname + "_" + str(uuid.uuid1()).replace('-', '_')
@TestStep(Given)
def allow_experimental_map_type(self):
"""Set allow_experimental_map_type = 1
"""
setting = ("allow_experimental_map_type", 1)
default_query_settings = None
try:
with By("adding allow_experimental_map_type to the default query settings"):
default_query_settings = getsattr(current().context, "default_query_settings", [])
default_query_settings.append(setting)
yield
finally:
with Finally("I remove allow_experimental_map_type from the default query settings"):
if default_query_settings:
try:
default_query_settings.pop(default_query_settings.index(setting))
except ValueError:
pass
@TestStep(Given)
def create_table(self, name, statement, on_cluster=False):
"""Create table.
"""
node = current().context.node
try:
with Given(f"I have a {name} table"):
node.query(statement.format(name=name))
yield name
finally:
with Finally("I drop the table"):
if on_cluster:
node.query(f"DROP TABLE IF EXISTS {name} ON CLUSTER {on_cluster}")
else:
node.query(f"DROP TABLE IF EXISTS {name}")

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