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Results of 1 - 10 of about 27 for Sample (0.002 sec.)
Samples 14170
Samples are used to randomly select a subset of a dataset. Examples Select a sample of exactly 5 rows from tbl using reservoir sampling: SELECT * FROM tbl USING SAMPLE 5; Select a sample of approximately 10% of the table using system sampli ... ng: SELECT * FROM tbl USING SAMPLE 10%; Warning By default, when you specify a percentage, each vector is included in the sample with that probability. If yo ... you get no rows at all. To get exactly 10% of rows (up to rounding), you must use the reservoir sampling option. Select a sample of approximately 10% of the table using bernoulli sampling: SELECT * FROM tbl USING SAMPLE 10 PERCENT (bernoulli); Select ... a sample of exactly 10% (up to rounding) of the table using reservoir sampling: SELECT * FROM tbl USING SAMPLE 10 PERCENT (reservoi ...
https://man.mtool.work/duckdb/2.0/sql/samples.html
SAMPLE Clause 12870
The SAMPLE clause allows you to run the query on a sample from the base table. This can significantly speed up processing of queries, at the expense of accuracy in the result. Samples can also be used to quickly see a snapshot of the data w ... hen exploring a dataset. The sample clause is applied right after anything in the FROM clause (i.e., after any joins, but before the WHERE clause or any aggre ... gates). See the SAMPLE page for more information. Examples Select a sample of 1% of the addresses table using default (system) sampling: SELECT * ... FROM addresses USING SAMPLE 1%; Select a sample of 1% of the addresses table using bernoulli sampling: SELECT * FROM addresses USING SAMPLE 1% (bernou ...
https://man.mtool.work/duckdb/2.0/sql/query_syntax/sample.html
CSV Auto Detection 9479
When using read_csv , the system tries to automatically infer how to read the CSV file using the CSV sniffer . This step is necessary because CSV files are not self-describing and come in many different dialects. The auto-detection works ro ... rrectly, we can override it by calling the read_csv with an explicit delimiter (e.g., read_csv('file.csv', delim = '|') ). Sample Size The type detection works by operating on a sample of the file. The size of the sample can be modified by setting the ... sample_size parameter. The default sample size is 20,480 rows. Setting the sample_size parameter to -1 means the entire file is read for sampling: SELECT * FROM rea ... d_csv('my_csv_file.csv', sample_size = -1); The way sampling is performed depends on the type of file. If we are reading from a regular file on disk, we w ...
https://man.mtool.work/duckdb/2.0/data/csv/auto_detection.html
Aggregate Functions 9117
Examples Produce a single row containing the sum of the amount column: SELECT sum(amount) FROM sales; Produce one row per unique region, containing the sum of amount for each group: SELECT region, sum(amount) FROM sales GROUP BY region; Ret ... the amount of the first sale using the first() aggregate function: SELECT first(amount ORDER BY date ASC) FROM sales; Downsample a series of 100 points to 5 points that preserve its visual shape using the lttb() aggregate function : SELECT unnest(lttb ... list(arg) Returns a LIST containing all the values of a column. This function is affected by ordering . lttb(x, y, n) Downsamples the series of (x, y) points to at most n representative points using the Largest-Triangle-Three-Buckets (LTTB) algorithm. ... upper boundary of each bin and its count. The optional technique argument selects the binning method and is one of auto , sample , equi-height , equi-width , or equi-width-nice . The optional bin_count argument sets the number of bins. | | Example | h ...
https://man.mtool.work/duckdb/2.0/sql/functions/aggregates.html
SELECT Statement 8953
The SELECT statement retrieves rows from the database. Examples Select all columns from the table tbl : SELECT * FROM tbl; Select the rows from tbl : SELECT j FROM tbl WHERE i = 3; Perform an aggregate grouped by the column i : SELECT i, su ... der of a SELECT statement is as follows, with less common clauses being indented: SELECT ⟨select_list⟩ FROM ⟨tables⟩ USING SAMPLE ⟨sample_expression⟩ WHERE ⟨condition⟩ GROUP BY ⟨groups⟩ HAVING ⟨group_filter⟩ WINDOW ⟨window_expression⟩ QUALIFY ⟨qualify_ ... a single table, a combination of multiple tables that are joined together, or another SELECT query inside a subquery node. SAMPLE Clause The SAMPLE clause allows you to run the query on a sample from the base table. This can significantly speed up proc ... essing of queries, at the expense of accuracy in the result. Samples can also be used to quickly see a snapshot of the data when exploring a dataset. The SAMPLE clause is applied right after ...
https://man.mtool.work/duckdb/2.0/sql/statements/select.html
CSV Import Tips 8821
Below is a collection of tips to help when attempting to import complex CSV files. In the examples, we use the flights.csv file. Override the Header Flag if the Header Is Not Correctly Detected If a file contains only string columns the hea ... he CSV file, you can use the INSERT INTO ... BY NAME clause : INSERT INTO tbl BY NAME SELECT * FROM read_csv('input.csv'); Sample Size If the CSV sniffer is not detecting the correct type, try increasing the sample size. The option sample_size = -1 for ... ces the sniffer to read the entire file: SELECT * FROM read_csv('my_csv_file.csv', sample_size = -1); ...
https://man.mtool.work/duckdb/2.0/data/csv/tips.html
Data Ingestion 8739
This page contains examples for data ingestion to Python using DuckDB. First, import the DuckDB package: import duckdb Then, proceed with any of the following sections. CSV Files CSV files can be read using the read_csv function, called eit ... onvert these columns to DuckDB, we first go through an analyze phase before converting the values. In this analyze phase a sample of all the rows of the column are analyzed to determine the target type. This sample size is by default set to 1000. If th ... is incorrect, this will result in Invalid Input Error: Failed to cast value , in which case you will need to increase the sample size. The sample size can be changed by setting the pandas_analyze_sample config option. # example setting the sample size ... to 100k duckdb.execute("SET GLOBAL pandas_analyze_sample = 100_000") Appending Rows Use the appender to insert rows produced by Python. The with block writes the rows to the table ...
https://man.mtool.work/duckdb/2.0/clients/python/data_ingestion.html
Gitignore for DuckDB 8212
If you work in a Git repository, you may want to configure your Gitignore to disable tracking files created by DuckDB . These potentially include the DuckDB database, write-ahead log, and temporary files. Sample Gitignore Files In the follo ... wing, we present sample Gitignore configuration snippets for DuckDB. Ignore Temporary Files but Keep Database This configuration is useful if you ...
https://man.mtool.work/duckdb/2.0/operations_manual/footprint_of_duckdb/gitignor...
Reading Faulty CSV Files 8080
CSV files can come in all shapes and forms, with some presenting many errors that make the process of cleanly reading them inherently difficult. To help users read these files, DuckDB supports detailed error messages, the ability to skip fa ... Override the type for this column manually by setting the type explicitly, e.g., types={'birth_date': 'VARCHAR'} * Set the sample size to a larger value to enable the auto-detection to scan more values, e.g., sample_size=-1 * Use a COPY statement to au ... skip_rows = 0 (Auto-Detected) date_format = (DD-MM-YYYY) (Auto-Detected) timestamp_format = (Auto-Detected) null_padding=0 sample_size=20480 ignore_errors=false all_varchar=0 The first block provides us with information regarding where the error occurr ... Override the type for this column manually by setting the type explicitly, e.g., types={'birth_date': 'VARCHAR'} * Set the sample size to a larger value to enable the auto-detection to scan more values, e.g., sample_size=-1 * Use a COPY statement to au ...
https://man.mtool.work/duckdb/2.0/data/csv/reading_faulty_csv_files.html
Loading JSON 7817
The DuckDB JSON reader can automatically infer which configuration flags to use by analyzing the JSON file. This will work correctly in most situations, and should be the first option attempted. In rare situations where the JSON reader cann ... tected) ignore_errors Whether to ignore parse errors (only possible when format is newline_delimited ). BOOL false maximum_sample_files The maximum number of JSON files sampled for auto-detection. BIGINT 32 maximum_object_size The maximum size of a JSO ... etects types. Set to -1 to fully detect nested JSON types BIGINT -1 records Can be one of auto , true , false VARCHAR auto sample_size Option to define number of sample objects for automatic JSON type detection. Set to -1 to scan the entire input file ... 200 field_appearance_threshold The JSON reader divides the number of appearances of each JSON field by the auto-detection sample size. If the average over the fields of an object is less than this threshold, it will default to using a MAP type with va ...
https://man.mtool.work/duckdb/2.0/data/json/loading_json.html
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