Clickhouse group array exampleIn ClickHouse arrays are just another column data type that represents a vector of values. Here is a simple example of array use in a ClickHouse table. CREATE TABLE array_test ( floats Array (Float64), strings Array (String), nullable_strings Array (Nullable (String)) ) ENGINE=TinyLogKey points: As a rule of thumb, column names must have the same name and must be inserted in the same order into the destination Data Source; The keywords_list can not simply be an empty array, we must cast it correctly to Array(String), because that's the data type of the destination column; last_time_collected_at, collection_id and collection_title can't either be Null, we have to cast ...UNNEST function. Definition, syntax, examples and common errors using BigQuery Standard SQL. The UNNEST function takes an ARRAY and returns a table with a row for each element in the ARRAY.For example, groupArray(1)(x)is equivalent to [any (x)]. In some cases, you can still rely on the order of execution. This applies to cases when SELECTcomes from a subquery that uses ORDER BY. Rating: 2.1 - 190 votes Was this content helpful? ©2016-2022 ClickHouse, Inc. Built from 25c994c1Please replace them with 0 and 1, respectively. #14060 ( Azat Khuzhin ). Remove support for the ODBCDriver input/output format. This was a deprecated format once used for communication with the ClickHouse ODBC driver, now long superseded by the ODBCDriver2 format. Resolves #13629. #13847 ( hexiaoting ).Jan 30, 2021 · ClickHouse Will be based on Group By The ultimate type of , Choose the best hashtable Or an array , As the basic data structure of grouping , Maximize memory and computation . This ” Optimal solution “ How it was found ? ClickHouse implements the replicated table mechanism based on the ReplicatedMergeTree engine and ZooKeeper. When creating a table, you can specify an engine to determineGROUP BY clause switches the SELECT query into an aggregation mode, which works as follows: GROUP BY clause contains a list of expressions (or a single expression, which is considered to be the list of length one). This list acts as a "grouping key", while each individual expression will be referred to as a "key expression".The _sample_factor is a virtual column that ClickHouse stores relative coefficients in. This column is created automatically when you create a table with the specified sampling key. The usage example is shown below: SELECT sum(Duration * _sample_factor) FROM visits SAMPLE 10000000 If you need to get the approximate count of rows in a SELECT ..ClickHouse has limited support for multi-dimensional arrays. For example, you cannot store multidimensional arrays in the MergeTree table. You can use the array function to create an array: array (T) Square brackets [] can also be used ClickHouse can automatically infer data types_A ClickHouse query completing in a fifth of a second (Click image to expand)_ If you've followed our progress on GitHub over the past months, you'll know that ClickHouse has been the talk of the town. In their own words, ClickHouse is "a column-oriented database management system (DBMS) for online analytical processing of queries (OLAP)".Jan 14, 2021 · group by name)) array join arr as t, arr2 as diff) group by name,dif) group by name; 本案例要点:clickhouse中创建表一定要指定引擎。 MergeTree表引擎,需要指定主键,本案例中,指定主键为name和ctime,排序字段为name和ctime,方便后续数据处理。记住加上小括号,否则报错。 There can easily be an order of magnitude difference depending on the implementation. Take GROUP BY as a paradigmatic example of what OLAP stores do. Of course the way to implement GROUP BY is with a hash table but little tricks make all the difference and a lot of love went into the clickhouse implementation.Table engines. ClickHouse Documentation, Выпуск. You can create a materialized view like this and assign a normal view to it that finishes data aggregation. Note that in most cases, using AggregatingMergeTree is not justified, since queries can be run efficiently enough on non-aggregated data. Symlink /usr/bin/clickhouse-extract-from-config already exists but it points to /clickhouse. Will replace the old symlink to /usr/bin/clickhouse. Creating symlink /usr/bin/clickhouse-extract-from-config to /usr/bin/clickhouse. Creating clickhouse group if it does not exist. groupadd -r clickhouse Creating clickhouse user if it does not exist.Jan 01, 2021 · Clickhouse uses Array and calendar Join. tags: Clickhouse. Example data: create table metrics (counter_id Int64, timestamp DateTime, metric UInt64) Engine=Log; INSERT ... When adding numbers, ClickHouse automatically sets the single_value type for the data type of the array. For more information about the types of data in ClickHouse, see " Data types ". Can be NULL. The function adds a NULL element to an array, and the type of array elements converts to Nullable.clickhouse::server::config::user: Define ClickHouse users; Resource types. clickhouse_database: Manages databases on ClickHouse server; Classes clickhouse. Top level class for ClickHouse DBMS installation and management. Examples Simple use include clickhouse Install server and client class {'clickhouse': server => true,} Install everything and ...It appears that the plugin does not properly group results when using ARRAY JOIN with GROUP BY in a query. Using the following query from grafana, I would expect the graph to plot the separate (key, value) pairs by time: select toUInt32(...this is an abstract example, because the structure of Your table I don't know - geovanni_Hegmann commented on June 10th 19 at 15:28 not, there is a UInt16 and a String, etc. but since it's a nested-column, all values in the key clichus want to get in an array. - jordon_Cummerata44 commented on June 10th 19 at 15:31Symlink /usr/bin/clickhouse-extract-from-config already exists but it points to /clickhouse. Will replace the old symlink to /usr/bin/clickhouse. Creating symlink /usr/bin/clickhouse-extract-from-config to /usr/bin/clickhouse. Creating clickhouse group if it does not exist. groupadd -r clickhouse Creating clickhouse user if it does not exist.SELECT arraySort( (x) -> -x, [1, 2, 3]) as res; ┌─res─────┐ │ [3,2,1] │ └─────────┘. For each element of the source array, the lambda function returns the sorting key, that is, [1 –> -1, 2 –> -2, 3 –> -3]. Since the arraySort function sorts the keys in ascending order, the result is [3, 2, 1]. Single_value - a single value. Only numbers can be added to the array, only strings are added to the string array. When adding a number, ClickHouse automatically sets the single_value type for the data type of the array. For more information on data types in ClickHouse, see "Data Types." Example. SELECT array PushBack([‘b’],‘a’) AS res In ClickHouse, there is an instruction WITH TOTALS that allows getting the totals for each grouping dimension. The modified query looks like this: 5. 1. SELECT uniq (user_id) as user_count ...I would like to batch-insert data into our ClickHouse database. Using gorm, I can easily use. type audit struct { field1 string `json:"field1"`, field2 string `json:"field2"`, } chDB.Table (tableName).CreateInBatches (audits, 5) However, if the audit contains an array field as below, the data of other fields will still be saved in the database.Jan 20, 2022 · I would like to batch-insert data into our ClickHouse database. Using gorm, I can easily use. type audit struct { field1 string `json:"field1"`, field2 string `json:"field2"`, } chDB.Table (tableName).CreateInBatches (audits, 5) However, if the audit contains an array field as below, the data of other fields will still be saved in the database. GROUP BY is not supported for array columns. A constant can't be specified as arguments for aggregate functions. Example: sum(1). Instead of this, you can get rid of the constant. Example: count(). NULL processing¶ For grouping, ClickHouse interprets NULL as a value, and NULL=NULL. Here's an example to show what this means. Assume you have this table: Run GROUP BY query continuously. Aggregated data is accumulated in memory. It can be queried as a table. The server can serve key-value requests with Redis protocol. Example applications: — realtime antifraud; — user profiles and personalization. Developer: Anton Popov. Planned for summer 2022. What's Next. Roadmap 2022 is published:group by startOf15Min order by startOf15Min For the first row I need an info how many prevUniqCustomerIds doesn't exit in currUniqCustomerIds, which is 1 (B doesn't exists in [A, C].for example, I have a table A create table A ( id Int64, discrete1 String discrete2 String ) engine=Log; and some data insert into A values (1,'A','a') (1,'B','b') (1 ...I want to create a dictionary in ClickHouse that has a key with String type and 3 values. These values have String type, String type and Array type. When I create this dictionary and select dictGet the value that has String type, the dictionary works correctly but when I select dictGet the value that has Array type, it doesn't work and shows ...Fortunately, ClickHouse comes with a lot of powerful array functions like groupArray, arrayFill and arrayReverseFill. groupArray, as the other aggregate functions on ClickHouse, skips null values. So the solution involves replacing them by another value (make sure that the new value doesn't appear in the column before).A few months ago we certified ClickHouse 21.1 as an Altinity Stable release. Since then, we have worked on newer releases and run them in-house. We completed several new features, and even more have been added by community contributors.Jan 30, 2021 · ClickHouse Will be based on Group By The ultimate type of , Choose the best hashtable Or an array , As the basic data structure of grouping , Maximize memory and computation . This ” Optimal solution “ How it was found ? group by startOf15Min order by startOf15Min For the first row I need an info how many prevUniqCustomerIds doesn't exit in currUniqCustomerIds, which is 1 (B doesn't exists in [A, C].To overcome these limitations, ClickHouse implemented a series of vector algorithms for working with large arrays of data on a column-by-column basis. With vectorized computation, ClickHouse can specifically work with data in blocks of tens of thousands or rows (per column) for many computations.Fully Managed ClickHouse for the Amazon Cloud by the Enterprise Experts. ... For example, for date 2017-08-17 the query: ... FROM queries ARRAY JOIN Errors GROUP BY QueryID, Errors.ErrorCode ┌─QueryID─┬─Errors.ErrorCode─┬─SUM(Errors.ErrorCnt)─┐ │ 5 │ 1212 │ 2 │ │ 5 │ 1230 │ 6 │ │ 5 │ 1260 │ 12 │ │ 5 ...When adding numbers, ClickHouse automatically sets the single_value type for the data type of the array. For more information about the types of data in ClickHouse, see " Data types ". Can be NULL. The function adds a NULL element to an array, and the type of array elements converts to Nullable.May 14, 2020 · SELECT air_code, groupArray(array(toString(discount), cabin[1])) d2 FROM discount_cabin GROUP BY air_code. 这里用到了array()把两个值变成一个数组, groupArray把一组值变成一个大数组。因为array不支持浮点数和字符串放一起, 所以需要将浮点数变成字符串. 2. By using the securityContext you can ensure your app's access rights and security, including row-level security for your ClickHouse database. To learn more, check out our recipe on using role-based access.. Conclusion. My goal with this tutorial was to explain a simpler and safer way of using ClickHouse. By using Altinity.Cloud to host and manage your ClickHouse cluster you can focus on what's ...There can easily be an order of magnitude difference depending on the implementation. Take GROUP BY as a paradigmatic example of what OLAP stores do. Of course the way to implement GROUP BY is with a hash table but little tricks make all the difference and a lot of love went into the clickhouse implementation.The _sample_factor is a virtual column that ClickHouse stores relative coefficients in. This column is created automatically when you create a table with the specified sampling key. The usage example is shown below: SELECT sum(Duration * _sample_factor) FROM visits SAMPLE 10000000 If you need to get the approximate count of rows in a SELECT ..When adding numbers, ClickHouse automatically sets the single_value type for the data type of the array. For more information about the types of data in ClickHouse, see "Data types". Can be NULL. The function adds a NULL element to an array, and the type of array elements converts to Nullable. ExampleInstead, you need to add a role user in the configuration file. The default configuration file path is: / etc / clickhouse-server. There are config.xml, users.xml, one is a server-related configuration, one is the configuration of user privileges. Let's take a look at users.xml. There are several parts.To overcome these limitations, ClickHouse implemented a series of vector algorithms for working with large arrays of data on a column-by-column basis. With vectorized computation, ClickHouse can specifically work with data in blocks of tens of thousands or rows (per column) for many computations.It appears that the plugin does not properly group results when using ARRAY JOIN with GROUP BY in a query. Using the following query from grafana, I would expect the graph to plot the separate (key, value) pairs by time: select toUInt32(...Apr 03, 2022 · That works. But only if there is always more than one value. For example: if "group_name" in the JSON file would only hold the value "example" (and not ["example", "example", "example1"]) => the output would only be "e" instead of "example". It takes not the first value, but only the first letter if there is only one value. ClickHouse Features For Advanced Users ClickHouse Features For Advanced Users SAMPLE key. Let suppose you have a clickstream data and you store it in non-aggregated form. You need to generate reports for your customers on the fly. This is typical ClickHouse use case. SAMPLE key. Most customers are small, but some are rather big.GROUP BY clause switches the SELECT query into an aggregation mode, which works as follows: GROUP BY clause contains a list of expressions (or a single expression, which is considered to be the list of length one). This list acts as a "grouping key", while each individual expression will be referred to as a "key expression".Documentation for the alicloud.clickhouse.getDbClusters function with examples, input properties, output properties, and supporting types.For example, this query will train a single model from multivariate time-series data to forecast taxi fares from the above dataset: CREATE PREDICTOR fares_forecaster_demo FROM Clickhouse ( SELECT VENDOR_ID, PICKUP_DATETIME, FARE_AMOUNT FROM DEFAULT.TRIPDATA WHERE DATE > '2010-01-01') PREDICT FARE_AMOUNT ORDER BY DATE GROUP BY VENDOR_ID WINDOW ...Fortunately, we can take advantage of ClickHouse flexibility to improve the schema design and raise performance. Key-value arrays optimization. The approach with key-value arrays can be optimized for better response time. In particular, instead of strings for metric names it is possible to use some sort of integer based metric_ids.Nov 18, 2021 · Page 1 - Mar 2022 @clickhouse_en Telegram message archive. 01 March 2022 (35 messages) @dj_mixer ↶ Reply to #41612 #41613 02:19 AM, 01 Mar 2022. may be worth to open ticket on github with details (schema, tables, sample data). when merge engine table is queried, it is automatically translated into its underlying tables and then results are ... 1. Grundlegende Einführung von ClickHouse 1.1 Einleitung. Klicken Sie auf Stream, Data Warehouse. Klicken Sie auf Stream Data Warehouse. Beim Sammeln von Daten wird durch Klicken auf eine Seite ein Ereignis generiert. GROUP BY is not supported for array columns. A constant can't be specified as arguments for aggregate functions. Example: sum(1). Instead of this, you can get rid of the constant. Example: count(). NULL processing¶ For grouping, ClickHouse interprets NULL as a value, and NULL=NULL. Here's an example to show what this means. Assume you have this table: The author selected the Free and Open Source Fund to receive a donation as part of the Write for DOnations program.. Introduction. ClickHouse is an open source, column-oriented analytics database created by Yandex for OLAP and big data use cases. ClickHouse's support for real-time query processing makes it suitable for applications that require sub-second analytical results.ClickHouse使用异步的多主复制技术。当数据被写入任何一个可用副本后,系统会在后台将数据分发给其他副本,以保证系统在不同副本上保持相同的数据。在大多数情况下ClickHouse能在故障后自动恢复,在一些少数的复杂情况下需要手动恢复。 3.缺点 For example, groupArray(1)(x)is equivalent to [any (x)]. In some cases, you can still rely on the order of execution. This applies to cases when SELECTcomes from a subquery that uses ORDER BY. Rating: 2.1 - 190 votes Was this content helpful? ©2016-2022 ClickHouse, Inc. Built from 25c994c1Jan 30, 2021 · ClickHouse Will be based on Group By The ultimate type of , Choose the best hashtable Or an array , As the basic data structure of grouping , Maximize memory and computation . This ” Optimal solution “ How it was found ? The author selected the Free and Open Source Fund to receive a donation as part of the Write for DOnations program.. Introduction. ClickHouse is an open source, column-oriented analytics database created by Yandex for OLAP and big data use cases. ClickHouse's support for real-time query processing makes it suitable for applications that require sub-second analytical results.Create scalable, fault-tolerant, and reliable online analytical applications with a feature-rich DBMS designed for speed. KEY FEATURES Hands-on approach towards learning ClickHouse from basic to advanced level. Numerous examples demonstrating how to use ClickHouse for analytical tasks. Straightforward explanations for complex concepts on ClickHouse and its vast features. Integration with a ...Jun 02, 2021 · ClickHouse 实时数据去重final+group by. Flink_: 你这选型不合理啊,ck这好别更新,代价太多,然后呢,适合大宽表. ClickHouse 实时数据去重final+group by. Flink_: 你这种就不合适做写入ck,update你还是用dorisdb,或者kudu把. 基于聚类分析和因子分析的空气质量研究. weixin_58788700 ... Look at nested data structures in ClickHouse for MySQL and how they can be used with Percona ... For example, for date 2017-08-17, the query: ... , SUM(Errors.ErrorCnt) FROM queries ARRAY JOIN ...It would be daunting to ask users to write ClickHouse SQL directly to retrieve logs under our custom table schema. It requires the user to know how array columns are used to represent the key-value pairs, how logs may be moved between tables to improve the placement of data, and how adaptive indexing is built based on query history, etc.The _sample_factor is a virtual column that ClickHouse stores relative coefficients in. This column is created automatically when you create a table with the specified sampling key. The usage example is shown below: SELECT sum(Duration * _sample_factor) FROM visits SAMPLE 10000000 If you need to get the approximate count of rows in a SELECT ..ClickHouse 查询 之ARRAY JOIN和LEFT ARRAY JOIN 子句 的使用 clickhouse ClickHouse 字数 (4.0k) 浏览 (1251) 点赞 (0) 评价 (0) 2020-09-20 617 浏览clickhouse Cookbook (0.2.0) centos, debian, ubuntu, redhat. There are two ways to install ClickHouse. By including recipe ruby include_recipe 'clickhouse::server' By using Chef resources, note service_name here, it must be same per configured ClickHouse service instance. ```ruby clickhouse_server_service 'clickhouse server instance' do service_name 'clickhouse-server-test' end👍 Allow *Map aggregate functions to work on Arrays with NULLs. Fixes #13157. #13225 (alexey-milovidov). 📜 Avoid overflow in parsing of DateTime values that will lead to negative unix timestamp in their timezone (for example, 1970-01-01 00:00:00 in Moscow). Saturate to zero instead. This fixes #3470. This fixes #4172.It would be daunting to ask users to write ClickHouse SQL directly to retrieve logs under our custom table schema. It requires the user to know how array columns are used to represent the key-value pairs, how logs may be moved between tables to improve the placement of data, and how adaptive indexing is built based on query history, etc.The left side of the operator is either a single column or a tuple. Examples: SELECT UserID IN (123, 456) FROM ... SELECT (CounterID, UserID) IN ( (34, 123), (101500, 456)) FROM ... If the left side is a single column that is in the index, and the right side is a set of constants, the system uses the index for processing the query.Clickhouse vs PostgreSQL: What are the differences? Clickhouse: A column-oriented database management system.It allows analysis of data that is updated in real time. It offers instant results in most cases: the data is processed faster than it takes to create a query; PostgreSQL: A powerful, open source object-relational database system.PostgreSQL is an advanced object-relational database ...ClickHouse for Yii2. This package is auto-updated. Last update: 2022-03-18 14:32:01 UTCby Ian. In MySQL, the JSON_EXTRACT () function returns data from a JSON document. The actual data returned is determined by the path you provide as an argument. You provide the JSON document as the first argument, followed by the path of the data to return. You can also provide multiple paths to return data from multiple places in the document.Laravel Group By Examples. This tutorial will demonstrate to you the following laravel group by eloquent method examples: 1: Laravel GroupBy with Collection Example. 2: Laravel Collection Group By Preserve Key. 3: Laravel Collection Group By with Multiple Columns. 4: Laravel Collection Group By with Date. 5: Laravel Collection Group By with Count.Fully Managed ClickHouse for the Amazon Cloud by the Enterprise Experts. ... For example, for date 2017-08-17 the query: ... FROM queries ARRAY JOIN Errors GROUP BY QueryID, Errors.ErrorCode ┌─QueryID─┬─Errors.ErrorCode─┬─SUM(Errors.ErrorCnt)─┐ │ 5 │ 1212 │ 2 │ │ 5 │ 1230 │ 6 │ │ 5 │ 1260 │ 12 │ │ 5 ...The following example has two arrays and uses a lambda expression to pick the second one as the sorting key. ClickHouse will sort the first array using the values of the second array as keys. SELECT arraySort ( (x, y) -> y, [1224, 1923, 1003, 745], [2, 1, 3, 4]) AS s ┌─s────────────────────┐ │ [1923,1224,1003,745] │ └──────────────────────┘Symlink /usr/bin/clickhouse-extract-from-config already exists but it points to /clickhouse. Will replace the old symlink to /usr/bin/clickhouse. Creating symlink /usr/bin/clickhouse-extract-from-config to /usr/bin/clickhouse. Creating clickhouse group if it does not exist. groupadd -r clickhouse Creating clickhouse user if it does not exist.Title: arrays2D.ppt Author: Margaret Reid-Miller Created Date: 6/17/2010 2:13:47 PM The following example has two arrays and uses a lambda expression to pick the second one as the sorting key. ClickHouse will sort the first array using the values of the second array as keys. SELECT arraySort ( (x, y) -> y, [1224, 1923, 1003, 745], [2, 1, 3, 4]) AS s ┌─s────────────────────┐ │ [1923,1224,1003,745] │ └──────────────────────┘PHP ClickHouse Client. This package is auto-updated. Last update: 2022-03-11 17:13:12 UTCLook at nested data structures in ClickHouse for MySQL and how they can be used with Percona ... For example, for date 2017-08-17, the query: ... , SUM(Errors.ErrorCnt) FROM queries ARRAY JOIN ...SELECT arraySort( (x) -> -x, [1, 2, 3]) as res; ┌─res─────┐ │ [3,2,1] │ └─────────┘. For each element of the source array, the lambda function returns the sorting key, that is, [1 –> -1, 2 –> -2, 3 –> -3]. Since the arraySort function sorts the keys in ascending order, the result is [3, 2, 1]. GROUP BY clause switches the SELECT query into an aggregation mode, which works as follows: GROUP BY clause contains a list of expressions (or a single expression, which is considered to be the list of length one). This list acts as a "grouping key", while each individual expression will be referred to as a "key expression".For example, this query will train a single model from multivariate time-series data to forecast taxi fares from the above dataset: CREATE PREDICTOR fares_forecaster_demo FROM Clickhouse ( SELECT VENDOR_ID, PICKUP_DATETIME, FARE_AMOUNT FROM DEFAULT.TRIPDATA WHERE DATE > '2010-01-01') PREDICT FARE_AMOUNT ORDER BY DATE GROUP BY VENDOR_ID WINDOW ...I would like to batch-insert data into our ClickHouse database. Using gorm, I can easily use. type audit struct { field1 string `json:"field1"`, field2 string `json:"field2"`, } chDB.Table (tableName).CreateInBatches (audits, 5) However, if the audit contains an array field as below, the data of other fields will still be saved in the database.ClickHouse is a free column-oriented database software (DBMS) for online analytical processing (OLAP). ClickHouse was developed by the Russian company Yandex for the web analysis service Yandex. ClickHouse allows the analysis of updated data in real-time. This system is developed for high performance. The project was released as free software under the terms of the […]Trivial example: how to implement GROUP BY? Option 1: — sort the array by keys; — then iterate through it, and calculate aggregate functions for consecutive identical keys. Option 2: — put all keys into a hash table; — when the key is found again, update the states of aggregate functions.The author selected the Free and Open Source Fund to receive a donation as part of the Write for DOnations program.. Introduction. ClickHouse is an open source, column-oriented analytics database created by Yandex for OLAP and big data use cases. ClickHouse's support for real-time query processing makes it suitable for applications that require sub-second analytical results.Nov 18, 2021 · Page 1 - Mar 2022 @clickhouse_en Telegram message archive. 01 March 2022 (35 messages) @dj_mixer ↶ Reply to #41612 #41613 02:19 AM, 01 Mar 2022. may be worth to open ticket on github with details (schema, tables, sample data). when merge engine table is queried, it is automatically translated into its underlying tables and then results are ... It would be daunting to ask users to write ClickHouse SQL directly to retrieve logs under our custom table schema. It requires the user to know how array columns are used to represent the key-value pairs, how logs may be moved between tables to improve the placement of data, and how adaptive indexing is built based on query history, etc.If you see something like this - it's OK (owner user: clickhouse, group: clickhouse, other - nonwritable) drwxrwxrwx 11 clickhouse clickhouse 4096 2018-11-14 09:18:16.066608906 +0000 data drwxrwxr-x 247 clickhouse clickhouse 12288 2018-12-07 08:40:46.097357747 +0000 shadow If you see in output something like in next example:I want to create a dictionary in ClickHouse that has a key with String type and 3 values. These values have String type, String type and Array type. When I create this dictionary and select dictGet the value that has String type, the dictionary works correctly but when I select dictGet the value that has Array type, it doesn't work and shows ...Key points: As a rule of thumb, column names must have the same name and must be inserted in the same order into the destination Data Source; The keywords_list can not simply be an empty array, we must cast it correctly to Array(String), because that's the data type of the destination column; last_time_collected_at, collection_id and collection_title can't either be Null, we have to cast ...rhythmic meaningapr golf r stage 3la ilaha illa anta subhanaka inni kuntu minaz zalimin benefits in hindidownload autodesk mayacba convention 2021encanto fanfic mirabel runs awayoneplus esimyfinance documentation pythonwork center in sap pm - fd