## モジュール 3: TiFlashを使用した複雑なクエリの高速化 ### 手順 1. 分析クエリを実行し、実行計画を確認する + TiDBに接続し、分析クエリを実行します。 {% if TIDB_ENVIRONMENT == 'TiDB Cloud Starter' %} ```bash mysql \ --comments -u '${LAB:SERVERLESS_CLUSTER_USERNAME}' -p'${LAB:SERVERLESS_CLUSTER_PASSWORD}' \ -h ${LAB:SERVERLESS_CLUSTER_HOST} -P ${LAB:SERVERLESS_CLUSTER_PORT} \ --ssl-mode=VERIFY_IDENTITY --ssl-ca=/etc/ssl/certs/ca-certificates.crt \ -D ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME} ``` {% elif TIDB_ENVIRONMENT == 'TiDB Cloud Essential' %} ```bash mysql \ --comments -u ${SERVERLESS_CLUSTER_USERNAME} -p${SERVERLESS_CLUSTER_PASSWORD} \ -h ${SERVERLESS_CLUSTER_HOST} -P ${SERVERLESS_CLUSTER_PORT} \ --ssl-mode=VERIFY_IDENTITY --ssl-ca=/etc/ssl/certs/ca-certificates.crt \ -D lab_demo_${LAB:LAB_INSTANCE_ID} ``` {% endif %} ```sql WITH index_companies AS ( SELECT c.stock_symbol, c.short_name, c.exchange_symbol, ic.weight, c.market_cap AS market_cap, c.revenue_growth AS revenue_growth FROM companies c JOIN index_compositions ic ON c.stock_symbol = ic.stock_symbol WHERE index_symbol = 'SP500' AND sector = 'Energy' ), companies_latest_price AS ( SELECT stock_symbol, DATE(last_day) AS last_change_day, last_close_price, last_2nd_close_price, last_close_price - last_2nd_close_price AS last_change, (last_close_price - last_2nd_close_price) / last_2nd_close_price AS last_change_percentage FROM ( SELECT LAST_VALUE(stock_symbol) OVER (PARTITION BY stock_symbol ORDER BY record_date) AS stock_symbol, LAST_VALUE(record_date) OVER (PARTITION BY stock_symbol ORDER BY record_date) AS last_day, NTH_VALUE(close, 1) OVER (PARTITION BY stock_symbol ORDER BY record_date DESC) AS last_close_price, NTH_VALUE(close, 2) OVER (PARTITION BY stock_symbol ORDER BY record_date DESC) AS last_2nd_close_price, ROW_NUMBER() OVER (PARTITION BY stock_symbol ORDER BY record_date DESC) AS row_num FROM stock_price_history sph WHERE record_date > DATE_SUB((SELECT MAX(record_date) FROM stock_price_history), INTERVAL 2 DAY) AND sph.stock_symbol IN (SELECT stock_symbol FROM index_companies ic) ) sub WHERE row_num = 2 ) SELECT ic.stock_symbol, ic.exchange_symbol, ic.short_name, ic.weight, ic.market_cap, ic.revenue_growth, clp.last_change, clp.last_change_day, clp.last_close_price, clp.last_2nd_close_price, clp.last_change_percentage FROM index_companies ic LEFT JOIN companies_latest_price clp ON ic.stock_symbol = clp.stock_symbol ORDER BY ic.weight DESC; ``` ```output +--------------+-----------------+---------------------------------+------------------------+--------------+----------------+---------------------+-----------------+----------------------+----------------------+-------------------------+ | stock_symbol | exchange_symbol | short_name | weight | market_cap | revenue_growth | last_change | last_change_day | last_close_price | last_2nd_close_price | last_change_percentage | +--------------+-----------------+---------------------------------+------------------------+--------------+----------------+---------------------+-----------------+----------------------+----------------------+-------------------------+ | XOM | NYQ | Exxon Mobil Corporation | 0.013441937585551282 | 474511933440 | 0.689 | 1.2800064086914100 | 2023-01-10 | 111.3700027465820300 | 110.0899963378906200 | 0.01162690935843785832 | | CVX | NYQ | Chevron Corporation | 0.009567226003564158 | 337731289088 | 0.81 | -0.8399963378906000 | 2023-01-10 | 175.1999969482422000 | 176.0399932861328000 | -0.00477162218772232275 | | COP | NYQ | ConocoPhillips | 0.004417814517419704 | 155952644096 | 1.237 | 0.1599960327148400 | 2023-01-10 | 118.2399978637695300 | 118.0800018310546900 | 0.00135497993084178221 | | SLB | NYQ | Schlumberger N.V. | 0.0022377960040345308 | 78996119552 | 0.279 | NULL | NULL | NULL | NULL | NULL | | EOG | NYQ | EOG Resources, Inc. | 0.0021024604924476343 | 74218659840 | 0.924 | -0.7600021362304600 | 2023-01-10 | 126.8499984741211000 | 127.6100006103515600 | -0.00595566282105957140 | | MPC | NYQ | Marathon Petroleum Corporation | 0.002050747487098508 | 72393146368 | 0.818 | 1.0999984741211000 | 2023-01-10 | 117.5999984741211000 | 116.5000000000000000 | 0.00944204698816394850 | | OXY | NYQ | Occidental Petroleum Corporatio | 0.001695676548826279 | 59858837504 | 0.792 | NULL | NULL | NULL | NULL | NULL | | PXD | NYQ | Pioneer Natural Resources Compa | 0.0016017013932190817 | 56541433856 | 0.641 | NULL | NULL | NULL | NULL | NULL | | VLO | NYQ | Valero Energy Corporation | 0.0015472850935959574 | 54620491776 | 0.593 | NULL | NULL | NULL | NULL | NULL | | HES | NYQ | Hess Corporation | 0.0012744122628788822 | 44987846656 | 0.776 | 1.6300048828125000 | 2023-01-10 | 145.2500000000000000 | 143.6199951171875000 | 0.01134942861878312162 | | PSX | NYQ | Phillips 66 | 0.0012589621320069535 | 44442443776 | 0.799 | NULL | NULL | NULL | NULL | NULL | | KMI | NYQ | Kinder Morgan, Inc. | 0.0012062691273686955 | 42582335488 | 0.354 | 0.0400009155273440 | 2023-01-10 | 18.7800006866455080 | 18.7399997711181640 | 0.00213452059850037319 | | DVN | NYQ | Devon Energy Corporation | 0.0012053375130788024 | 42549448704 | 0.789 | -0.2800025939941400 | 2023-01-10 | 62.8499984741210940 | 63.1300010681152340 | -0.00443533326875800678 | | WMB | NYQ | Williams Companies, Inc. (The) | 0.0011162172177908748 | 39403425792 | 0.091 | NULL | NULL | NULL | NULL | NULL | | HAL | NYQ | Halliburton Company | 0.0010393744130051477 | 36690808832 | 0.388 | 0.0500030517578160 | 2023-01-10 | 40.9900016784668000 | 40.9399986267089840 | 0.00122137404580161222 | | OKE | NYQ | ONEOK, Inc. | 0.0008854096904464799 | 31255721984 | 0.769 | NULL | NULL | NULL | NULL | NULL | | BKR | NMS | Baker Hughes Company | 0.0008807471517968449 | 31091130368 | 0.054 | -0.0400009155273450 | 2023-01-10 | 30.8299999237060550 | 30.8700008392334000 | -0.00129578602008027511 | | FANG | NMS | Diamondback Energy, Inc. | 0.000730020047064916 | 25770334208 | 0.565 | 0.2900085449218600 | 2023-01-10 | 142.2400054931640600 | 141.9499969482422000 | 0.00204303311839874783 | | MRO | NYQ | Marathon Oil Corporation | 0.0005965698099807201 | 21059426304 | 0.731 | 0.0399990081787110 | 2023-01-10 | 27.0499992370605470 | 27.0100002288818360 | 0.00148089625471161593 | | CTRA | NYQ | Coterra Energy Inc. | 0.0005690298110137097 | 20087240704 | 5.204 | -0.3899993896484380 | 2023-01-10 | 24.6900005340576170 | 25.0799999237060550 | -0.01555021494556719473 | | TRGP | NYQ | Targa Resources, Inc. | 0.0004842024080652878 | 17092760576 | 0.773 | NULL | NULL | NULL | NULL | NULL | | APA | NMS | APA Corporation | 0.00039910236086756015 | 14088655872 | 0.374 | 0.5799980163574200 | 2023-01-10 | 43.8199996948242200 | 43.2400016784668000 | 0.01341345961709929139 | | EQT | NYQ | EQT Corporation | 0.0003576031445812937 | 12623697920 | 1.092 | -0.6399993896484380 | 2023-01-10 | 33.4000015258789060 | 34.0400009155273440 | -0.01880139166966068805 | +--------------+-----------------+---------------------------------+------------------------+--------------+----------------+---------------------+-----------------+----------------------+----------------------+-------------------------+ 23 rows in set, 1 warning (4.50 sec) ``` + 次のクエリの出力は長くなるため、事前に `PAGER less -S` を実行してください。元に戻すには `NOPAGER` を実行します。 ```sql PAGER less -S ``` + 複雑なクエリの先頭に `EXPLAIN` を付けて、実行計画を確認しましょう。 > [!NOTE] > task 列に注目してください。ここにはクエリが `root` および `[cop]tikv` で実行されることが示されています。これは TiDB サーバー（root）と TiKV の行ストア（[cop]tikv）で処理が行われることを意味します。 ```sql EXPLAIN WITH index_companies AS ( SELECT c.stock_symbol, c.short_name, c.exchange_symbol, ic.weight, c.market_cap AS market_cap, c.revenue_growth AS revenue_growth FROM companies c JOIN index_compositions ic ON c.stock_symbol = ic.stock_symbol WHERE index_symbol = 'SP500' AND sector = 'Energy' ), companies_latest_price AS ( SELECT stock_symbol, DATE(last_day) AS last_change_day, last_close_price, last_2nd_close_price, last_close_price - last_2nd_close_price AS last_change, (last_close_price - last_2nd_close_price) / last_2nd_close_price AS last_change_percentage FROM ( SELECT LAST_VALUE(stock_symbol) OVER (PARTITION BY stock_symbol ORDER BY record_date) AS stock_symbol, LAST_VALUE(record_date) OVER (PARTITION BY stock_symbol ORDER BY record_date) AS last_day, NTH_VALUE(close, 1) OVER (PARTITION BY stock_symbol ORDER BY record_date DESC) AS last_close_price, NTH_VALUE(close, 2) OVER (PARTITION BY stock_symbol ORDER BY record_date DESC) AS last_2nd_close_price, ROW_NUMBER() OVER (PARTITION BY stock_symbol ORDER BY record_date DESC) AS row_num FROM stock_price_history sph WHERE record_date > DATE_SUB((SELECT MAX(record_date) FROM stock_price_history), INTERVAL 2 DAY) AND sph.stock_symbol IN (SELECT stock_symbol FROM index_companies ic) ) sub WHERE row_num = 2 ) SELECT ic.stock_symbol, ic.exchange_symbol, ic.short_name, ic.weight, ic.market_cap, ic.revenue_growth, clp.last_change, clp.last_change_day, clp.last_close_price, clp.last_2nd_close_price, clp.last_change_percentage FROM index_companies ic LEFT JOIN companies_latest_price clp ON ic.stock_symbol = clp.stock_symbol ORDER BY ic.weight DESC; ``` ```output | id | estRows | task | access object | operator info | +------------------------------------------------------+------------+-----------+---------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | Sort_125 | 23.00 | root | | ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.index_compositions.weight:desc | | └─Projection_127 | 23.00 | root | | ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.companies.stock_symbol, ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.companies.exchange_symbol, ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.companies.short_name, ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.index_compositions.weight, ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.companies.market_cap, ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.companies.revenue_growth, Column#118, Column#117, Column#109, Column#108, Column#119 | | └─HashJoin_129 | 23.00 | root | | left outer join, equal:[eq(${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.companies.stock_symbol, Column#111)] | | ├─CTEFullScan_156(Build) | 23.00 | root | CTE:index_companies AS ic | data:CTE_0 | | └─Projection_131(Probe) | 1572.00 | root | | Column#111, date(Column#110)->Column#117, Column#109, Column#108, minus(Column#109, Column#108)->Column#118, div(minus(Column#109, Column#108), Column#108)->Column#119 | | └─Selection_132 | 1572.00 | root | | eq(Column#107, 2), not(isnull(Column#111)) | | └─Window_133 | 1965.00 | root | | last_value(${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.stock_price_history.stock_symbol)->Column#111 over(partition by ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.stock_price_history.stock_symbol order by ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.stock_price_history.record_date range between unbounded preceding and current row) | | └─Window_134 | 1965.00 | root | | last_value(${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.stock_price_history.record_date)->Column#110 over(partition by ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.stock_price_history.stock_symbol order by ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.stock_price_history.record_date range between unbounded preceding and current row) | | └─Sort_154 | 1965.00 | root | | ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.stock_price_history.stock_symbol, ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.stock_price_history.record_date | | └─Window_136 | 1965.00 | root | | nth_value(${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.stock_price_history.close, 1)->Column#109 over(partition by ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.stock_price_history.stock_symbol order by ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.stock_price_history.record_date desc range between unbounded preceding and current row) | | └─Window_137 | 1965.00 | root | | nth_value(${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.stock_price_history.close, 2)->Column#108 over(partition by ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.stock_price_history.stock_symbol order by ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.stock_price_history.record_date desc range between unbounded preceding and current row) | | └─Window_139 | 1965.00 | root | | row_number()->Column#107 over(partition by ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.stock_price_history.stock_symbol order by ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.stock_price_history.record_date desc rows between current row and current row) | | └─Sort_151 | 1965.00 | root | | ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.stock_price_history.stock_symbol, ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.stock_price_history.record_date:desc | | └─HashJoin_144 | 1965.00 | root | | inner join, equal:[eq(${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.companies.stock_symbol, ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.stock_price_history.stock_symbol)] | | ├─HashAgg_145(Build) | 18.40 | root | | group by:${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.companies.stock_symbol, funcs:firstrow(${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.companies.stock_symbol)->${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.companies.stock_symbol | | │ └─Selection_146 | 18.40 | root | | not(isnull(${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.companies.stock_symbol)) | | │ └─CTEFullScan_147 | 23.00 | root | CTE:index_companies AS ic | data:CTE_0 | | └─TableReader_150(Probe) | 1965.00 | root | | data:Selection_149 | | └─Selection_149 | 1965.00 | cop[tikv] | | gt(${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.stock_price_history.record_date, 2023-01-09), not(isnull(${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.stock_price_history.stock_symbol)) | | └─TableFullScan_148 | 1157000.00 | cop[tikv] | table:sph | keep order:false | | CTE_0 | 23.00 | root | | Non-Recursive CTE | | └─Projection_113(Seed Part) | 23.00 | root | | ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.companies.stock_symbol, ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.companies.short_name, ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.companies.exchange_symbol, ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.index_compositions.weight, ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.companies.market_cap, ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.companies.revenue_growth | | └─HashJoin_115 | 23.00 | root | | inner join, equal:[eq(${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.companies.stock_symbol, ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.index_compositions.stock_symbol)] | | ├─TableReader_118(Build) | 23.00 | root | | data:Selection_117 | | │ └─Selection_117 | 23.00 | cop[tikv] | | eq(${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.companies.sector, "Energy"), not(isnull(${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.companies.stock_symbol)), or(1, not(isnull(${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.companies.stock_symbol))) | | │ └─TableFullScan_116 | 493.00 | cop[tikv] | table:c | keep order:false | | └─TableReader_121(Probe) | 493.00 | root | | data:Selection_120 | | └─Selection_120 | 493.00 | cop[tikv] | | eq(${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.index_compositions.index_symbol, "SP500"), not(isnull(${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.index_compositions.stock_symbol)) | | └─TableFullScan_119 | 493.00 | cop[tikv] | table:ic | keep order:false | +------------------------------------------------------+------------+-----------+---------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ 29 rows in set (1.08 sec) ``` + `PAGER` ビューを終了するには `Q` を押します。 ```output mysql> ``` + `PAGER` をオフにします。 ```sql NOPAGER ``` ```output PAGER set to stdout mysql> ``` ### 手順 2. TiFlash同期設定 + 以下の3つのテーブルをTiFlashと同期するように設定します：`stock_price_history`、`index_companies`、および`companies`。 ```sql ALTER TABLE ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.companies SET TIFLASH REPLICA 2; ALTER TABLE ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.index_compositions SET TIFLASH REPLICA 2; ALTER TABLE ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.stock_price_history SET TIFLASH REPLICA 2; ``` ```output ... Query OK, 0 rows affected, 1 warning (0.20 sec) ``` + 以下のクエリで同期状態を確認できます。（`PROGRESS`が1で`AVAILABLE`が1の場合、同期が完了しています。） {% if TIDB_ENVIRONMENT == 'TiDB Cloud Starter' %} ```sql SELECT * FROM information_schema.tiflash_replica WHERE TABLE_SCHEMA = '${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}'; ``` {% elif TIDB_ENVIRONMENT == 'TiDB Cloud Essential' %} ```sql SELECT * FROM information_schema.tiflash_replica WHERE TABLE_SCHEMA = 'lab_demo_${LAB:LAB_INSTANCE_ID}'; ``` {% endif %} + 進行中の状態。 ```output +----------------------+---------------------+----------+---------------+-----------------+-----------+----------+ | TABLE_SCHEMA | TABLE_NAME | TABLE_ID | REPLICA_COUNT | LOCATION_LABELS | AVAILABLE | PROGRESS | +----------------------+---------------------+----------+---------------+-----------------+-----------+----------+ | lab_demo_201_2370038 | companies | 114 | 2 | | 0 | 0.5 | | lab_demo_201_2370038 | index_compositions | 116 | 2 | | 0 | 0 | | lab_demo_201_2370038 | stock_price_history | 122 | 2 | | 0 | 0 | +----------------------+---------------------+----------+---------------+-----------------+-----------+----------+ 3 rows in set (0.05 sec) ``` + 完了した状態。 ```output +----------------------+---------------------+----------+---------------+-----------------+-----------+----------+ | TABLE_SCHEMA | TABLE_NAME | TABLE_ID | REPLICA_COUNT | LOCATION_LABELS | AVAILABLE | PROGRESS | +----------------------+---------------------+----------+---------------+-----------------+-----------+----------+ | lab_demo_201_2370038 | companies | 114 | 2 | | 1 | 1 | | lab_demo_201_2370038 | index_compositions | 116 | 2 | | 1 | 1 | | lab_demo_201_2370038 | stock_price_history | 122 | 2 | | 1 | 1 | +----------------------+---------------------+----------+---------------+-----------------+-----------+----------+ 3 rows in set (0.05 sec) ``` ### 手順 3. 分析クエリを再度実行して実行計画を確認する {% if TIDB_ENVIRONMENT == 'TiDB Cloud Starter' %} + 各テーブルの行数を再確認しましょう。`stock_price_history` テーブルが他の2つのテーブルよりもはるかに多くの行を持っていることが分かります。この操作により、TiDB Cloud Starter クラスターでは TiFlash リソースの動的割り当てがトリガーされます。カラム型ストレージを利用するためにこの手順は、TiDB Cloud Dedicated、TiDB Cloud Essential、TiDB Cloud Premium では必要ありません。TiDB Cloud Starter では、最初のクエリアクセス時まで TiFlash の割り当てが遅延されます。 ```sql SELECT COUNT(*) FROM stock_price_history UNION ALL SELECT COUNT(*) FROM index_compositions UNION ALL SELECT COUNT(*) FROM companies; ``` ```output +----------+ | COUNT(*) | +----------+ | 493 | | 493 | | 1157000 | +----------+ 3 rows in set (6.71 sec) ``` {% endif %} + 結果はすぐに返されます。 ```sql WITH index_companies AS ( SELECT c.stock_symbol, c.short_name, c.exchange_symbol, ic.weight, c.market_cap AS market_cap, c.revenue_growth AS revenue_growth FROM companies c JOIN index_compositions ic ON c.stock_symbol = ic.stock_symbol WHERE index_symbol = 'SP500' AND sector = 'Energy' ), companies_latest_price AS ( SELECT stock_symbol, DATE(last_day) AS last_change_day, last_close_price, last_2nd_close_price, last_close_price - last_2nd_close_price AS last_change, (last_close_price - last_2nd_close_price) / last_2nd_close_price AS last_change_percentage FROM ( SELECT LAST_VALUE(stock_symbol) OVER (PARTITION BY stock_symbol ORDER BY record_date) AS stock_symbol, LAST_VALUE(record_date) OVER (PARTITION BY stock_symbol ORDER BY record_date) AS last_day, NTH_VALUE(close, 1) OVER (PARTITION BY stock_symbol ORDER BY record_date DESC) AS last_close_price, NTH_VALUE(close, 2) OVER (PARTITION BY stock_symbol ORDER BY record_date DESC) AS last_2nd_close_price, ROW_NUMBER() OVER (PARTITION BY stock_symbol ORDER BY record_date DESC) AS row_num FROM stock_price_history sph WHERE record_date > DATE_SUB((SELECT MAX(record_date) FROM stock_price_history), INTERVAL 2 DAY) AND sph.stock_symbol IN (SELECT stock_symbol FROM index_companies ic) ) sub WHERE row_num = 2 ) SELECT ic.stock_symbol, ic.exchange_symbol, ic.short_name, ic.weight, ic.market_cap, ic.revenue_growth, clp.last_change, clp.last_change_day, clp.last_close_price, clp.last_2nd_close_price, clp.last_change_percentage FROM index_companies ic LEFT JOIN companies_latest_price clp ON ic.stock_symbol = clp.stock_symbol ORDER BY ic.weight DESC; ``` + 結果は以前よりもはるかに速く返されます。 ```output +--------------+-----------------+---------------------------------+------------------------+--------------+----------------+---------------------+-----------------+----------------------+----------------------+-------------------------+ | stock_symbol | exchange_symbol | short_name | weight | market_cap | revenue_growth | last_change | last_change_day | last_close_price | last_2nd_close_price | last_change_percentage | +--------------+-----------------+---------------------------------+------------------------+--------------+----------------+---------------------+-----------------+----------------------+----------------------+-------------------------+ | XOM | NYQ | Exxon Mobil Corporation | 0.013441937585551282 | 474511933440 | 0.689 | 1.2800064086914100 | 2023-01-10 | 111.3700027465820300 | 110.0899963378906200 | 0.01162690935843785832 | | CVX | NYQ | Chevron Corporation | 0.009567226003564158 | 337731289088 | 0.81 | -0.8399963378906000 | 2023-01-10 | 175.1999969482422000 | 176.0399932861328000 | -0.00477162218772232275 | | COP | NYQ | ConocoPhillips | 0.004417814517419704 | 155952644096 | 1.237 | 0.1599960327148400 | 2023-01-10 | 118.2399978637695300 | 118.0800018310546900 | 0.00135497993084178221 | | SLB | NYQ | Schlumberger N.V. | 0.0022377960040345308 | 78996119552 | 0.279 | NULL | NULL | NULL | NULL | NULL | | EOG | NYQ | EOG Resources, Inc. | 0.0021024604924476343 | 74218659840 | 0.924 | -0.7600021362304600 | 2023-01-10 | 126.8499984741211000 | 127.6100006103515600 | -0.00595566282105957140 | | MPC | NYQ | Marathon Petroleum Corporation | 0.002050747487098508 | 72393146368 | 0.818 | 1.0999984741211000 | 2023-01-10 | 117.5999984741211000 | 116.5000000000000000 | 0.00944204698816394850 | | OXY | NYQ | Occidental Petroleum Corporatio | 0.001695676548826279 | 59858837504 | 0.792 | NULL | NULL | NULL | NULL | NULL | | PXD | NYQ | Pioneer Natural Resources Compa | 0.0016017013932190817 | 56541433856 | 0.641 | NULL | NULL | NULL | NULL | NULL | | VLO | NYQ | Valero Energy Corporation | 0.0015472850935959574 | 54620491776 | 0.593 | NULL | NULL | NULL | NULL | NULL | | HES | NYQ | Hess Corporation | 0.0012744122628788822 | 44987846656 | 0.776 | 1.6300048828125000 | 2023-01-10 | 145.2500000000000000 | 143.6199951171875000 | 0.01134942861878312162 | | PSX | NYQ | Phillips 66 | 0.0012589621320069535 | 44442443776 | 0.799 | NULL | NULL | NULL | NULL | NULL | | KMI | NYQ | Kinder Morgan, Inc. | 0.0012062691273686955 | 42582335488 | 0.354 | 0.0400009155273440 | 2023-01-10 | 18.7800006866455080 | 18.7399997711181640 | 0.00213452059850037319 | | DVN | NYQ | Devon Energy Corporation | 0.0012053375130788024 | 42549448704 | 0.789 | -0.2800025939941400 | 2023-01-10 | 62.8499984741210940 | 63.1300010681152340 | -0.00443533326875800678 | | WMB | NYQ | Williams Companies, Inc. (The) | 0.0011162172177908748 | 39403425792 | 0.091 | NULL | NULL | NULL | NULL | NULL | | HAL | NYQ | Halliburton Company | 0.0010393744130051477 | 36690808832 | 0.388 | 0.0500030517578160 | 2023-01-10 | 40.9900016784668000 | 40.9399986267089840 | 0.00122137404580161222 | | OKE | NYQ | ONEOK, Inc. | 0.0008854096904464799 | 31255721984 | 0.769 | NULL | NULL | NULL | NULL | NULL | | BKR | NMS | Baker Hughes Company | 0.0008807471517968449 | 31091130368 | 0.054 | -0.0400009155273450 | 2023-01-10 | 30.8299999237060550 | 30.8700008392334000 | -0.00129578602008027511 | | FANG | NMS | Diamondback Energy, Inc. | 0.000730020047064916 | 25770334208 | 0.565 | 0.2900085449218600 | 2023-01-10 | 142.2400054931640600 | 141.9499969482422000 | 0.00204303311839874783 | | MRO | NYQ | Marathon Oil Corporation | 0.0005965698099807201 | 21059426304 | 0.731 | 0.0399990081787110 | 2023-01-10 | 27.0499992370605470 | 27.0100002288818360 | 0.00148089625471161593 | | CTRA | NYQ | Coterra Energy Inc. | 0.0005690298110137097 | 20087240704 | 5.204 | -0.3899993896484380 | 2023-01-10 | 24.6900005340576170 | 25.0799999237060550 | -0.01555021494556719473 | | TRGP | NYQ | Targa Resources, Inc. | 0.0004842024080652878 | 17092760576 | 0.773 | NULL | NULL | NULL | NULL | NULL | | APA | NMS | APA Corporation | 0.00039910236086756015 | 14088655872 | 0.374 | 0.5799980163574200 | 2023-01-10 | 43.8199996948242200 | 43.2400016784668000 | 0.01341345961709929139 | | EQT | NYQ | EQT Corporation | 0.0003576031445812937 | 12623697920 | 1.092 | -0.6399993896484380 | 2023-01-10 | 33.4000015258789060 | 34.0400009155273440 | -0.01880139166966068805 | +--------------+-----------------+---------------------------------+------------------------+--------------+----------------+---------------------+-----------------+----------------------+----------------------+-------------------------+ 23 rows in set (0.62 sec) ``` + 実行プランでは、`stock_price_history` テーブルには `mpp[tiflash]` が使用されますが、他の2つのテーブルについては行数が少ないため、オプティマイザは TiFlash を使わずに `cop[tikv]` を選択します。 ```sql PAGER less -S EXPLAIN WITH index_companies AS ( SELECT c.stock_symbol, c.short_name, c.exchange_symbol, ic.weight, c.market_cap AS market_cap, c.revenue_growth AS revenue_growth FROM companies c JOIN index_compositions ic ON c.stock_symbol = ic.stock_symbol WHERE index_symbol = 'SP500' AND sector = 'Energy' ), companies_latest_price AS ( SELECT stock_symbol, DATE(last_day) AS last_change_day, last_close_price, last_2nd_close_price, last_close_price - last_2nd_close_price AS last_change, (last_close_price - last_2nd_close_price) / last_2nd_close_price AS last_change_percentage FROM ( SELECT LAST_VALUE(stock_symbol) OVER (PARTITION BY stock_symbol ORDER BY record_date) AS stock_symbol, LAST_VALUE(record_date) OVER (PARTITION BY stock_symbol ORDER BY record_date) AS last_day, NTH_VALUE(close, 1) OVER (PARTITION BY stock_symbol ORDER BY record_date DESC) AS last_close_price, NTH_VALUE(close, 2) OVER (PARTITION BY stock_symbol ORDER BY record_date DESC) AS last_2nd_close_price, ROW_NUMBER() OVER (PARTITION BY stock_symbol ORDER BY record_date DESC) AS row_num FROM stock_price_history sph WHERE record_date > DATE_SUB((SELECT MAX(record_date) FROM stock_price_history), INTERVAL 2 DAY) AND sph.stock_symbol IN (SELECT stock_symbol FROM index_companies ic) ) sub WHERE row_num = 2 ) SELECT ic.stock_symbol, ic.exchange_symbol, ic.short_name, ic.weight, ic.market_cap, ic.revenue_growth, clp.last_change, clp.last_change_day, clp.last_close_price, clp.last_2nd_close_price, clp.last_change_percentage FROM index_companies ic LEFT JOIN companies_latest_price clp ON ic.stock_symbol = clp.stock_symbol ORDER BY ic.weight DESC; ``` ```output +-------------------------------------------------------+---------+--------------+---------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | id | estRows | task | access object | operator info | +-------------------------------------------------------+---------+--------------+---------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | Sort_164 | 23.00 | root | | ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.index_compositions.weight:desc | | └─Projection_166 | 23.00 | root | | ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.companies.stock_symbol, ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.companies.exchange_symbol, ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.companies.short_name, ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.index_compositions.weight, ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.companies.market_cap, ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.companies.revenue_growth, Column#118, Column#117, Column#109, Column#108, Column#119 | | └─HashJoin_168 | 23.00 | root | | left outer join, equal:[eq(${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.companies.stock_symbol, Column#111)] | | ├─CTEFullScan_199(Build) | 23.00 | root | CTE:index_companies AS ic | data:CTE_0 | | └─Projection_170(Probe) | 1572.00 | root | | Column#111, date(Column#110)->Column#117, Column#109, Column#108, minus(Column#109, Column#108)->Column#118, div(minus(Column#109, Column#108), Column#108)->Column#119 | | └─Selection_171 | 1572.00 | root | | eq(Column#107, 2), not(isnull(Column#111)) | | └─Window_172 | 1965.00 | root | | last_value(${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.stock_price_history.stock_symbol)->Column#111 over(partition by ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.stock_price_history.stock_symbol order by ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.stock_price_history.record_date range between unbounded preceding and current row) | | └─Window_173 | 1965.00 | root | | last_value(${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.stock_price_history.record_date)->Column#110 over(partition by ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.stock_price_history.stock_symbol order by ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.stock_price_history.record_date range between unbounded preceding and current row) | | └─Sort_197 | 1965.00 | root | | ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.stock_price_history.stock_symbol, ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.stock_price_history.record_date | | └─Window_175 | 1965.00 | root | | nth_value(${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.stock_price_history.close, 1)->Column#109 over(partition by ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.stock_price_history.stock_symbol order by ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.stock_price_history.record_date desc range between unbounded preceding and current row) | | └─Window_176 | 1965.00 | root | | nth_value(${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.stock_price_history.close, 2)->Column#108 over(partition by ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.stock_price_history.stock_symbol order by ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.stock_price_history.record_date desc range between unbounded preceding and current row) | | └─Window_178 | 1965.00 | root | | row_number()->Column#107 over(partition by ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.stock_price_history.stock_symbol order by ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.stock_price_history.record_date desc rows between current row and current row) | | └─Sort_194 | 1965.00 | root | | ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.stock_price_history.stock_symbol, ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.stock_price_history.record_date:desc | | └─HashJoin_183 | 1965.00 | root | | inner join, equal:[eq(${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.companies.stock_symbol, ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.stock_price_history.stock_symbol)] | | ├─HashAgg_184(Build) | 18.40 | root | | group by:${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.companies.stock_symbol, funcs:firstrow(${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.companies.stock_symbol)->${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.companies.stock_symbol | | │ └─Selection_185 | 18.40 | root | | not(isnull(${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.companies.stock_symbol)) | | │ └─CTEFullScan_186 | 23.00 | root | CTE:index_companies AS ic | data:CTE_0 | | └─TableReader_193(Probe) | 1965.00 | root | | MppVersion: 1, data:ExchangeSender_192 | | └─ExchangeSender_192 | 1965.00 | mpp[tiflash] | | ExchangeType: PassThrough | | └─Selection_191 | 1965.00 | mpp[tiflash] | | not(isnull(${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.stock_price_history.stock_symbol)) | | └─TableFullScan_190 | 1965.00 | mpp[tiflash] | table:sph | pushed down filter:gt(${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.stock_price_history.record_date, 2023-01-09), keep order:false | | CTE_0 | 23.00 | root | | Non-Recursive CTE | | └─Projection_131(Seed Part) | 23.00 | root | | ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.companies.stock_symbol, ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.companies.short_name, ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.companies.exchange_symbol, ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.index_compositions.weight, ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.companies.market_cap, ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.companies.revenue_growth | | └─HashJoin_135 | 23.00 | root | | inner join, equal:[eq(${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.companies.stock_symbol, ${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.index_compositions.stock_symbol)] | | ├─TableReader_146(Build) | 23.00 | root | | data:Selection_145 | | │ └─Selection_145 | 23.00 | cop[tikv] | | eq(${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.companies.sector, "Energy"), not(isnull(${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.companies.stock_symbol)), or(1, not(isnull(${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.companies.stock_symbol))) | | │ └─TableFullScan_144 | 493.00 | cop[tikv] | table:c | keep order:false | | └─TableReader_153(Probe) | 493.00 | root | | data:Selection_152 | | └─Selection_152 | 493.00 | cop[tikv] | | eq(${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.index_compositions.index_symbol, "SP500"), not(isnull(${LAB:SERVERLESS_CLUSTER_DATABASE_NAME}.index_compositions.stock_symbol)) | | └─TableFullScan_151 | 493.00 | cop[tikv] | table:ic | keep order:false | +-------------------------------------------------------+---------+--------------+---------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ 30 rows in set (0.52 sec) ``` + `PAGER` ビューを終了するには `Q` を押してください。 ```output mysql> ``` ### 手順 4. 同じスクリプトを実行して結果を確認し、パフォーマンスが向上したことを確認する + mysqlクライアントを終了し、[ターミナル 1](ssh://monitor1-ssh#1) に切り替えます。 ```sql EXIT ``` + スクリプトを実行して分析クエリを再度実行します。以下の結果は、より高速になったことを示しています。 {% if TIDB_ENVIRONMENT == 'TiDB Cloud Starter' %} ```bash ~/.venv/bin/python test01.py ``` {% elif TIDB_ENVIRONMENT == 'TiDB Cloud Essential' %} ```bash ~/.venv/bin/python test01.py \ $SERVERLESS_CLUSTER_USERNAME \ $SERVERLESS_CLUSTER_PASSWORD \ $SERVERLESS_CLUSTER_HOST \ lab_demo_${LAB:LAB_INSTANCE_ID} \ $SERVERLESS_CLUSTER_PORT ``` {% endif %} ```output ■■■Query 1: Market capitalization by industry■■■ Query execution start time: 02:25:59.895391 Query execution end time: 02:25:59.910081 +------------------------+------------------+ | sector | total_market_cap | +------------------------+------------------+ | Real Estate | 927820086272 | | Technology | 7906855563776 | | Financial Services | 4661122020864 | | Healthcare | 5122903213056 | | Utilities | 1023797270016 | | Consumer Defensive | 2872367655424 | | Communication Services | 3669841019392 | | Basic Materials | 889871172608 | | Energy | 1788549832704 | | Consumer Cyclical | 3238477340160 | | Industrials | 3199253085184 | +------------------------+------------------+ ========================== ■■■Query 2: Market capitalization ranking in the energy industry■■■ Query execution start time: 02:25:59.911859 Query execution end time: 02:26:00.290869 +--------------+-----------------+---------------------------------+------------------------+--------------+----------------+---------------------+-----------------+----------------------+----------------------+-------------------------+ | stock_symbol | exchange_symbol | short_name | weight | market_cap | revenue_growth | last_change | last_change_day | last_close_price | last_2nd_close_price | last_change_percentage | +--------------+-----------------+---------------------------------+------------------------+--------------+----------------+---------------------+-----------------+----------------------+----------------------+-------------------------+ | XOM | NYQ | Exxon Mobil Corporation | 0.013441937585551282 | 474511933440 | 0.689 | 1.2800064086914100 | 2023-01-10 | 111.3700027465820300 | 110.0899963378906200 | 0.01162690935843785832 | | CVX | NYQ | Chevron Corporation | 0.009567226003564158 | 337731289088 | 0.81 | -0.8399963378906000 | 2023-01-10 | 175.1999969482422000 | 176.0399932861328000 | -0.00477162218772232275 | | COP | NYQ | ConocoPhillips | 0.004417814517419704 | 155952644096 | 1.237 | 0.1599960327148400 | 2023-01-10 | 118.2399978637695300 | 118.0800018310546900 | 0.00135497993084178221 | | SLB | NYQ | Schlumberger N.V. | 0.0022377960040345308 | 78996119552 | 0.279 | None | None | None | None | None | | EOG | NYQ | EOG Resources, Inc. | 0.0021024604924476343 | 74218659840 | 0.924 | -0.7600021362304600 | 2023-01-10 | 126.8499984741211000 | 127.6100006103515600 | -0.00595566282105957140 | | MPC | NYQ | Marathon Petroleum Corporation | 0.002050747487098508 | 72393146368 | 0.818 | 1.0999984741211000 | 2023-01-10 | 117.5999984741211000 | 116.5000000000000000 | 0.00944204698816394850 | | OXY | NYQ | Occidental Petroleum Corporatio | 0.001695676548826279 | 59858837504 | 0.792 | None | None | None | None | None | | PXD | NYQ | Pioneer Natural Resources Compa | 0.0016017013932190817 | 56541433856 | 0.641 | None | None | None | None | None | | VLO | NYQ | Valero Energy Corporation | 0.0015472850935959574 | 54620491776 | 0.593 | None | None | None | None | None | | HES | NYQ | Hess Corporation | 0.0012744122628788822 | 44987846656 | 0.776 | 1.6300048828125000 | 2023-01-10 | 145.2500000000000000 | 143.6199951171875000 | 0.01134942861878312162 | | PSX | NYQ | Phillips 66 | 0.0012589621320069535 | 44442443776 | 0.799 | None | None | None | None | None | | KMI | NYQ | Kinder Morgan, Inc. | 0.0012062691273686955 | 42582335488 | 0.354 | 0.0400009155273440 | 2023-01-10 | 18.7800006866455080 | 18.7399997711181640 | 0.00213452059850037319 | | DVN | NYQ | Devon Energy Corporation | 0.0012053375130788024 | 42549448704 | 0.789 | -0.2800025939941400 | 2023-01-10 | 62.8499984741210940 | 63.1300010681152340 | -0.00443533326875800678 | | WMB | NYQ | Williams Companies, Inc. (The) | 0.0011162172177908748 | 39403425792 | 0.091 | None | None | None | None | None | | HAL | NYQ | Halliburton Company | 0.0010393744130051477 | 36690808832 | 0.388 | 0.0500030517578160 | 2023-01-10 | 40.9900016784668000 | 40.9399986267089840 | 0.00122137404580161222 | | OKE | NYQ | ONEOK, Inc. | 0.0008854096904464799 | 31255721984 | 0.769 | None | None | None | None | None | | BKR | NMS | Baker Hughes Company | 0.0008807471517968449 | 31091130368 | 0.054 | -0.0400009155273450 | 2023-01-10 | 30.8299999237060550 | 30.8700008392334000 | -0.00129578602008027511 | | FANG | NMS | Diamondback Energy, Inc. | 0.000730020047064916 | 25770334208 | 0.565 | 0.2900085449218600 | 2023-01-10 | 142.2400054931640600 | 141.9499969482422000 | 0.00204303311839874783 | | MRO | NYQ | Marathon Oil Corporation | 0.0005965698099807201 | 21059426304 | 0.731 | 0.0399990081787110 | 2023-01-10 | 27.0499992370605470 | 27.0100002288818360 | 0.00148089625471161593 | | CTRA | NYQ | Coterra Energy Inc. | 0.0005690298110137097 | 20087240704 | 5.204 | -0.3899993896484380 | 2023-01-10 | 24.6900005340576170 | 25.0799999237060550 | -0.01555021494556719473 | | TRGP | NYQ | Targa Resources, Inc. | 0.0004842024080652878 | 17092760576 | 0.773 | None | None | None | None | None | | APA | NMS | APA Corporation | 0.00039910236086756015 | 14088655872 | 0.374 | 0.5799980163574200 | 2023-01-10 | 43.8199996948242200 | 43.2400016784668000 | 0.01341345961709929139 | | EQT | NYQ | EQT Corporation | 0.0003576031445812937 | 12623697920 | 1.092 | -0.6399993896484380 | 2023-01-10 | 33.4000015258789060 | 34.0400009155273440 | -0.01880139166966068805 | +--------------+-----------------+---------------------------------+------------------------+--------------+----------------+---------------------+-----------------+----------------------+----------------------+-------------------------+ ========================== MySQL connection is closed ``` ### 手順 5. TiDB Cloud コンソールに移動してあなた自身の旅を始めましょう {% if TIDB_ENVIRONMENT == 'TiDB Cloud Starter' %} + [こちら](https://tidbcloud.com/clusters)から TiDB Cloud の旅を始めることができます。この演習で自分の無料のクラスタを使用した場合は、同じページに表示されています。クラスタ名は ${LAB:SERVERLESS_CLUSTER_NAME} です。 {% elif TIDB_ENVIRONMENT == 'TiDB Cloud Essential' %} + [こちら](https://tidbcloud.com/clusters)から TiDB Cloud の旅を始めることができます。この演習が完了した後、TiDB Cloud コンソールから `tidblabs-project` プロジェクトで作成したクラスタを削除できます。 {% endif %}