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file or a folder of files to a dataset in DataHub.
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To specify the group of files that form a dataset, use <code>path_specs</code> configuration in ingestion recipe. Refer
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section <a href="/docs/generated/ingestion/sources/s3/#path-specs">Path Specs</a> for more details.</p><h3 class="anchor anchorWithStickyNavbar_LWe7" id="concept-mapping">Concept Mapping<a href="#concept-mapping" class="hash-link" aria-label="Direct link to Concept Mapping" title="Direct link to Concept Mapping"></a></h3><p>This ingestion source maps the following Source System Concepts to DataHub Concepts:</p><table><thead><tr><th>Source Concept</th><th>DataHub Concept</th><th>Notes</th></tr></thead><tbody><tr><td><code>"abs"</code></td><td><a href="/docs/generated/metamodel/entities/dataplatform/">Data Platform</a></td><td></td></tr><tr><td>abs blob / Folder containing abs blobs</td><td><a href="/docs/generated/metamodel/entities/dataset/">Dataset</a></td><td></td></tr><tr><td>abs container</td><td><a href="/docs/generated/metamodel/entities/container/">Container</a></td><td>Subtype <code>Folder</code></td></tr></tbody></table><p>This connector supports both local files and those stored on Azure Blob Storage (which must be identified using the
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prefix <code>http(s)://<account>.blob.core.windows.net/</code> or <code>azure://</code>).</p><h3 class="anchor anchorWithStickyNavbar_LWe7" id="supported-file-types">Supported file types<a href="#supported-file-types" class="hash-link" aria-label="Direct link to Supported file types" title="Direct link to Supported file types"></a></h3><p>Supported file types are as follows:</p><ul><li>CSV (<!-- -->*<!-- -->.csv)</li><li>TSV (<!-- -->*<!-- -->.tsv)</li><li>JSONL (<!-- -->*<!-- -->.jsonl)</li><li>JSON (<!-- -->*<!-- -->.json)</li><li>Parquet (<!-- -->*<!-- -->.parquet)</li><li>Apache Avro (<!-- -->*<!-- -->.avro)</li></ul><p>Schemas for Parquet and Avro files are extracted as provided.</p><p>Schemas for schemaless formats (CSV, TSV, JSONL, JSON) are inferred. For CSV, TSV and JSONL files, we consider the first
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100 rows by default, which can be controlled via the <code>max_rows</code> recipe parameter (see <a href="#config-details">below</a>)
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JSON file schemas are inferred on the basis of the entire file (given the difficulty in extracting only the first few
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objects of the file), which may impact performance.
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We are working on using iterator-based JSON parsers to avoid reading in the entire JSON object.</p><h3 class="anchor anchorWithStickyNavbar_LWe7" id="profiling">Profiling<a href="#profiling" class="hash-link" aria-label="Direct link to Profiling" title="Direct link to Profiling"></a></h3><p>Profiling is not available in the current release.
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<img loading="lazy" src="https://img.shields.io/badge/support%20status-incubating-blue" alt="Incubating" class="img_ev3q"></p><h3 class="anchor anchorWithStickyNavbar_LWe7" id="important-capabilities">Important Capabilities<a href="#important-capabilities" class="hash-link" aria-label="Direct link to Important Capabilities" title="Direct link to Important Capabilities"></a></h3><table><thead><tr><th>Capability</th><th>Status</th><th>Notes</th></tr></thead><tbody><tr><td><a href="/docs/metadata-ingestion/docs/dev_guides/sql_profiles">Data Profiling</a></td><td>✅</td><td>Optionally enabled via configuration.</td></tr><tr><td><a href="/docs/metadata-ingestion/docs/dev_guides/stateful#stale-entity-removal">Detect Deleted Entities</a></td><td>✅</td><td>Enabled by default via stateful ingestion.</td></tr><tr><td>Extract Tags</td><td>✅</td><td>Can extract ABS object/container tags if enabled.</td></tr></tbody></table><h3 class="anchor anchorWithStickyNavbar_LWe7" id="cli-based-ingestion">CLI based Ingestion<a href="#cli-based-ingestion" class="hash-link" aria-label="Direct link to CLI based Ingestion" title="Direct link to CLI based Ingestion"></a></h3><h3 class="anchor anchorWithStickyNavbar_LWe7" id="starter-recipe">Starter Recipe<a href="#starter-recipe" class="hash-link" aria-label="Direct link to Starter Recipe" title="Direct link to Starter Recipe"></a></h3><p>Check out the following recipe to get started with ingestion! See <a href="#config-details">below</a> for full configuration options.</p><p>For general pointers on writing and running a recipe, see our <a href="/docs/metadata-ingestion#recipes">main recipe guide</a>.</p><div class="language-yaml codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#bfc7d5;--prism-background-color:#292d3e"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-yaml codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#bfc7d5"><span class="token key atrule">source</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token key atrule">type</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"> abs</span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token key atrule">config</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token key atrule">path_specs</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token punctuation" style="color:rgb(199, 146, 234)">-</span><span class="token plain"> </span><span class="token key atrule">include</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"> </span><span class="token string" style="color:rgb(195, 232, 141)">"https://storageaccountname.blob.core.windows.net/covid19-lake/covid_knowledge_graph/csv/nodes/*.*"</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain" style="display:inline-block"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token key atrule">azure_config</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token key atrule">account_name</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"> </span><span class="token str
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and will ignore file <code>tmp_10101000.csv</code></li></ul><p><strong>Valid path_specs.include</strong></p><div class="language-python codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#bfc7d5;--prism-background-color:#292d3e"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-python codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#bfc7d5"><span class="token plain">https</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token operator" style="color:rgb(137, 221, 255)">//</span><span class="token plain">storageaccountname</span><span class="token punctuation" style="color:rgb(199, 146, 234)">.</span><span class="token plain">blob</span><span class="token punctuation" style="color:rgb(199, 146, 234)">.</span><span class="token plain">core</span><span class="token punctuation" style="color:rgb(199, 146, 234)">.</span><span class="token plain">windows</span><span class="token punctuation" style="color:rgb(199, 146, 234)">.</span><span class="token plain">net</span><span class="token operator" style="color:rgb(137, 221, 255)">/</span><span class="token plain">my</span><span class="token operator" style="color:rgb(137, 221, 255)">-</span><span class="token plain">container</span><span class="token operator" style="color:rgb(137, 221, 255)">/</span><span class="token plain">foo</span><span class="token operator" style="color:rgb(137, 221, 255)">/</span><span class="token plain">tests</span><span class="token operator" style="color:rgb(137, 221, 255)">/</span><span class="token plain">bar</span><span class="token punctuation" style="color:rgb(199, 146, 234)">.</span><span class="token plain">avro </span><span class="token comment" style="color:rgb(105, 112, 152);font-style:italic"># single file table</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain">https</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token operator" style="color:rgb(137, 221, 255)">//</span><span class="token plain">storageaccountname</span><span class="token punctuation" style="color:rgb(199, 146, 234)">.</span><span class="token plain">blob</span><span class="token punctuation" style="color:rgb(199, 146, 234)">.</span><span class="token plain">core</span><span class="token punctuation" style="color:rgb(199, 146, 234)">.</span><span class="token plain">windows</span><span class="token punctuation" style="color:rgb(199, 146, 234)">.</span><span class="token plain">net</span><span class="token operator" style="color:rgb(137, 221, 255)">/</span><span class="token plain">my</span><span class="token operator" style="color:rgb(137, 221, 255)">-</span><span class="token plain">container</span><span class="token operator" style="color:rgb(137, 221, 255)">/</span><span class="token plain">foo</span><span class="token operator" style="color:rgb(137, 221, 255)">/</span><span class="token plain">tests</span><span class="token operator" style="color:rgb(137, 221, 255)">/</span><span class="token operator" style="color:rgb(137, 221, 255)">*</span><span class="token punctuation" style="color:rgb(199, 146, 234)">.</span><span class="token operator" style="color:rgb(137, 221, 255)">*</span><span class="token plain"> </span><span class="token comment" style="color:rgb(105, 112, 152);font-style:italic"># mulitple file level tables</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain">https</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token operator" style="color:rgb(137, 221, 255)">//</span><span class="token plain">storageaccountname</span><span class="token punctuation" style="color:rgb(199, 146, 234)">.</span><span class="token plain">blob</span><span class="token punctuation" style="color:rgb(199, 146, 234)">.</span><span class="token plain">core</span><span class="token punctuation" style="color:rgb(199, 1
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While we've done our best to limit the expensiveness of the queries the profiler runs, you
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should be prudent about the set of tables profiling is enabled on or the frequency
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of the profiling runs.</p></div></div><div class="theme-admonition theme-admonition-caution alert alert--warning admonition_LlT9"><div class="admonitionHeading_tbUL"><span class="admonitionIcon_kALy"><svg viewBox="0 0 16 16"><path fill-rule="evenodd" d="M8.893 1.5c-.183-.31-.52-.5-.887-.5s-.703.19-.886.5L.138 13.499a.98.98 0 0 0 0 1.001c.193.31.53.501.886.501h13.964c.367 0 .704-.19.877-.5a1.03 1.03 0 0 0 .01-1.002L8.893 1.5zm.133 11.497H6.987v-2.003h2.039v2.003zm0-3.004H6.987V5.987h2.039v4.006z"></path></svg></span>caution</div><div class="admonitionContent_S0QG"><p>If you are ingesting datasets from AWS S3, we recommend running the ingestion on a server in the same region to avoid high egress costs.</p></div></div><h3 class="anchor anchorWithStickyNavbar_LWe7" id="compatibility">Compatibility<a href="#compatibility" class="hash-link" aria-label="Direct link to Compatibility" title="Direct link to Compatibility"></a></h3><p>Profiles are computed with PyDeequ, which relies on PySpark. Therefore, for computing profiles, we currently require Spark 3.0.3 with Hadoop 3.2 to be installed and the <code>SPARK_HOME</code> and <code>SPARK_VERSION</code> environment variables to be set. The Spark+Hadoop binary can be downloaded <a href="https://www.apache.org/dyn/closer.lua/spark/spark-3.0.3/spark-3.0.3-bin-hadoop3.2.tgz" target="_blank" rel="noopener noreferrer">here</a>.</p><p>For an example guide on setting up PyDeequ on AWS, see <a href="https://aws.amazon.com/blogs/big-data/testing-data-quality-at-scale-with-pydeequ/" target="_blank" rel="noopener noreferrer">this guide</a>.</p><div class="theme-admonition theme-admonition-caution alert alert--warning admonition_LlT9"><div class="admonitionHeading_tbUL"><span class="admonitionIcon_kALy"><svg viewBox="0 0 16 16"><path fill-rule="evenodd" d="M8.893 1.5c-.183-.31-.52-.5-.887-.5s-.703.19-.886.5L.138 13.499a.98.98 0 0 0 0 1.001c.193.31.53.501.886.501h13.964c.367 0 .704-.19.877-.5a1.03 1.03 0 0 0 .01-1.002L8.893 1.5zm.133 11.497H6.987v-2.003h2.039v2.003zm0-3.004H6.987V5.987h2.039v4.006z"></path></svg></span>caution</div><div class="admonitionContent_S0QG"><p>From Spark 3.2.0+, Avro reader fails on column names that don't start with a letter and contains other character than letters, number, and underscore. <!-- -->[https://github.com/apache/spark/blob/72c62b6596d21e975c5597f8fff84b1a9d070a02/connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroFileFormat.scala#L158]<!-- -->
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Avro files that contain such columns won't be profiled.</p></div></div><h3 class="anchor anchorWithStickyNavbar_LWe7" id="code-coordinates">Code Coordinates<a href="#code-coordinates" class="hash-link" aria-label="Direct link to Code Coordinates" title="Direct link to Code Coordinates"></a></h3><ul><li>Class Name: <code>datahub.ingestion.source.abs.source.ABSSource</code></li><li>Browse on <a href="https://github.com/datahub-project/datahub/blob/master/metadata-ingestion/src/datahub/ingestion/source/abs/source.py" target="_blank" rel="noopener noreferrer">GitHub</a></li></ul><h2>Questions</h2><p>If you've got any questions on configuring ingestion for ABS Data Lake, feel free to ping us on <a href="https://datahub.com/slack" target="_blank" rel="noopener noreferrer">our Slack</a>.</p></div><footer class="theme-doc-footer docusaurus-mt-lg"><div class="slackUtm_uoBr"><div class="slackUtm_uoBr"><hr>Need more help? Join the conversation in <a href="https://datahub.com/slack?utm_source=docs&utm_medium=footer&utm_campaign=docs_footer&utm_content=docs/generated/ingestion/sources/abs">Slack!</a></div></div><div class="theme-doc-footer-edit-meta-row row"><div class="col"><a href="https://github.com/datahub-project/datahub/blob/master/docs/generated/ingestion/sources/abs.md" target="_blank" rel="noreferrer noopener" class="theme-edit-this-page"><svg fill="currentColor" height="20" width="20" viewBox="0 0 40 40" class="iconEdit_Z9Sw" aria-hidden="true"><g><path d="m34.5 11.7l-3 3.1-6.3-6.3 3.1-3q0.5-0.5 1.2-0.5t1.1 0.5l3.9 3.9q0.5 0.4 0.5 1.1t-0.5 1.2z m-29.5 17.1l18.4-18.5 6.3 6.3-18.4 18.4h-6.3v-6.2z"></path></g></svg>Edit this page</a></div><div class="col lastUpdated_VsjB"></div></div></footer><div class="feedbackWrapper_mUHF"><div class="feedbackWidget_PX4d"><div class="feedbackButtons_wn3V"><strong>Is this page helpful?</strong><div><button class="feedbackButton_UgQs"><span role="img" aria-label="like" class="anticon anticon-like"><svg viewBox="64 64 896 896" focusable="false" data-icon="like" width="1em" height="1em" fill="currentColor" aria-hidden="true"><path d="M885.9 533.7c16.8-22.2 26.1-49.4 26.1-77.7 0-44.9-25.1-87.4-65.5-111.1a67.67 67.67 0 00-34.3-9.3H572.4l6-122.9c1.4-29.7-9.1-57.9-29.5-79.4A106.62 106.62 0 00471 99.9c-52 0-98 35-111.8 85.1l-85.9 311H144c-17.7 0-32 14.3-32 32v364c0 17.7 14.3 32 32 32h601.3c9.2 0 18.2-1.8 26.5-5.4 47.6-20.3 78.3-66.8 78.3-118.4 0-12.6-1.8-25-5.4-37 16.8-22.2 26.1-49.4 26.1-77.7 0-12.6-1.8-25-5.4-37 16.8-22.2 26.1-49.4 26.1-77.7-.2-12.6-2-25.1-5.6-37.1zM184 852V568h81v284h-81zm636.4-353l-21.9 19 13.9 25.4a56.2 56.2 0 016.9 27.3c0 16.5-7.2 32.2-19.6 43l-21.9 19 13.9 25.4a56.2 56.2 0 016.9 27.3c0 16.5-7.2 32.2-19.6 43l-21.9 19 13.9 25.4a56.2 56.2 0 016.9 27.3c0 22.4-13.2 42.6-33.6 51.8H329V564.8l99.5-360.5a44.1 44.1 0 0142.2-32.3c7.6 0 15.1 2.2 21.1 6.7 9.9 7.4 15.2 18.6 14.6 30.5l-9.6 198.4h314.4C829 418.5 840 436.9 840 456c0 16.5-7.2 32.1-19.6 43z"></path></svg></span></button><button class="feedbackButton_UgQs"><span role="img" aria-label="dislike" class="anticon anticon-dislike"><svg viewBox="64 64 896 896" focusable="false" data-icon="dislike" width="1em" height="1em" fill="currentColor" aria-hidden="true"><path d="M885.9 490.3c3.6-12 5.4-24.4 5.4-37 0-28.3-9.3-55.5-26.1-77.7 3.6-12 5.4-24.4 5.4-37 0-28.3-9.3-55.5-26.1-77.7 3.6-12 5.4-24.4 5.4-37 0-51.6-30.7-98.1-78.3-118.4a66.1 66.1 0 00-26.5-5.4H144c-17.7 0-32 14.3-32 32v364c0 17.7 14.3 32 32 32h129.3l85.8 310.8C372.9 889 418.9 924 470.9 924c29.7 0 57.4-11.8 77.9-33.4 20.5-21.5 31-49.7 29.5-79.4l-6-122.9h239.9c12.1 0 23.9-3.2 34.3-9.3 40.4-23.5 65.5-66.1 65.5-111 0-28.3-9.3-55.5-26.1-77.7zM184 456V172h81v284h-81zm627.2 160.4H496.8l9.6 198.4c.6 11.9-4.7 23.1-14.6 30.5-6.1 4.5-13.6 6.8-21.1 6.7a44.28 44.28 0 01-42.2-32.3L329 459.2V172h415.4a56.85 56.85 0 0133.6 51.8c0 9.7-2.3 18.9-6.9 27.3l-13.9 25.4 21.9 19a56.76 56.76 0 0119.6 43c0 9.7-2.3 18.9-6.9 27.3l-13.9 25.4 21.9 19a56.76 56.76 0 0119.6 43c0 9.7-2.3 18.9-6.9 27.3l-14 25.5 21.9 19a56.76 56.76 0 0119.6 43c0 19.1-11 37.5-28.8 48.4z"></path></svg></spa
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